5G New Radio Standards and other Presentations

A recent Cambridge Wireless event 'Radio technology for 5G – making it work' was an excellent event where all speakers delivered an interesting and insightful presentation. These presentations are all available to view and download for everyone for a limited time here.

I blogged about the base station antennas last week but there are other couple of presentations that stood out for me.

The first was an excellent presentation from Sylvia Lu from u-Blox, also my fellow CW Board Member. Her talk covered variety of topics including IoT, IIoT, LTE-V2X and Cellular positioning, including 5G NR Positioning Trend. The presentation is embedded below and available to download from Slideshare

Overview of standardisation status and 3GPP technology evolution trend from 3G4G

The other presentation on 5G NR was one from Yinan Qi of Samsung R&D. His presentation looked at variety of topics, mainly Layer 1 including Massive MIMO, Beamforming, Beam Management, Bandwidth Part, Reference Signals, Phase noise, etc. His presentation is embedded below and can be downloaded from SlideShare.

5G NR: Key features and enhancements from 3G4G

Related Posts:

• Base Station Antenna Considerations for 5G
• Introduction to Fixed Wireless Access (FWA)
• 5G Network Architecture Options (Updated)
• Automated 4G / 5G HetNet Design

Base Station Antenna Considerations for 5G

I first mentioned Quintel in this blog three years back for their innovations in 4T8R/8T8R antennas. Since then they have been going strength to strength.

I heard David Barker, CTO of Quintel at Cambridge Wireless event titled "Radio technology for 5G – making it work" talking about the antennas consideration for 5G. There are quite a few important areas in this presentation for consideration. The presentation is embedded below:

Base Station Antenna needs for the 5G RAN from 3G4G

Related Posts:

• Using 8T8R Antennas for TD-LTE
• Antenna evolution: From 4G to 5G
• The Art of Disguising Cellular Antennas
• AT&T Blog: "Providing Connectivity from Inside a Cactus"
• Automated 4G / 5G HetNet Design

Telefonica: Big Data, Machine Learning (ML) and Artificial Intelligence (AI) to Connect the Unconnected

Earlier, I wrote a detailed post on how Telefonica was on a mission to connect 100 Million Unconnected with their 'Internet para todos' initiative. This video below is a good advert of what Telefinica is trying to achieve in Latin America


I recently came across a LinkedIn post on how Telefónica uses AI / ML to connect the unconnected by Patrick Lopez, VP Networks Innovation @ Telefonica. It was no brainer that this needs to be shared.

Big data for social good from Patrick Lopez

In his post, Patrick mentions the following:

To deliver internet in these environments in a sustainable manner, it is necessary to increase efficiency through systematic cost reduction, investment optimization and targeted deployments.

Systematic optimization necessitates continuous measurement of the financial, operational, technological and organizational data sets.

1. Finding the unconnected

The first challenge the team had to tackle was to understand how many unconnected there are and where. The data set was scarce and incomplete, census was old and population had much mobility. In this case, the team used high definition satellite imagery at the scale of the country and used neural network models, coupled with census data as training. Implementing visual machine learning algorithms, the model literally counted each house and each settlement at the scale of the country. The model was then enriched with crossed reference coverage data from regulatory source, as well as Telefonica proprietary data set consisting of geolocalized data sessions and deployment maps. The result is a model with a visual representation, providing a map of the population dispersion, with superimposed coverage polygons, allowing to count and localize the unconnected populations with good accuracy (95% of the population with less than 3% false positive and less than 240 meters deviation in the location of antennas).


2. Optimizing transport

Transport networks are the most expensive part of deploying connectivity to remote areas. Optimizing transport route has a huge impact on the sustainability of a network. This is why the team selected this task as the next challenge to tackle.

The team started with adding road and infrastructure data to the model form public sources, and used graph generation to cluster population settlements. Graph analysis (shortest path, Steiner tree) yielded population density-optimized transport routes.


3. AI to optimize network operations

To connect very remote zones, optimizing operations and minimizing maintenance and upgrade is key to a sustainable operational model. This line of work is probably the most ambitious for the team. When it can take 3 hours by plane and 4 days by boat to reach some locations, being able to make sure you can detect, or better, predict if / when you need to perform maintenance on your infrastructure. Equally important is how your devise your routes so that you are as efficient as possible. In this case, the team built a neural network trained with historical failure analysis and fed with network metrics to provide a model capable of supervising the network health in an automated manner, with prediction of possible failure and optimized maintenance route.

I think that the type of data driven approach to complex problem solving demonstrated in this project is the key to network operators' sustainability in the future. It is not only a rural problem, it is necessary to increase efficiency and optimize deployment and operations to keep decreasing the costs.


Finally, its worth mentioning again that I am helping CW (Cambridge Wireless) organise their annual CW TEC conference on the topic 'The inevitable automation of Next Generation Networks'. There are some good speakers and we will have similar topics covered from different angles, using some other interesting approaches. The fees are very reasonable so please join if you can.

Related posts:

• Internet para todos: Telefonica and Parallel Wireless on a mission to connect 100 Million Unconnected
• Automating the 5G Core using Machine Learning and Data Analytics
• ITU 'Network 2030': Initiative to support Emerging Technologies and Innovation looking beyond 5G advances
• Artificial Intelligence - Beyond SON for Autonomous Networks
• Twitter et al. for Small Cell Planning

Automating the 5G Core using Machine Learning and Data Analytics

One of the new entities introduced by 3GPP in the 5G Core SBA (see tutorial here) is Network Data Analytics Function, NWDAF.

3GPP TR 23.791: Study of Enablers for Network Automation for 5G (Release 16) describes the following 5G Network Architecture Assumptions:

1 The NWDAF (Network Data Analytics Function) as defined in TS 23.503 is used for data collection and data analytics in centralized manner. An NWDAF may be used for analytics for one or more Network Slice.
2 For instances where certain analytics can be performed by a 5GS NF independently, a NWDAF instance specific to that analytic maybe collocated with the 5GS NF. The data utilized by the 5GS NF as input to analytics in this case should also be made available to allow for the centralized NWDAF deployment option.
3 5GS Network Functions and OAM decide how to use the data analytics provided by NWDAF to improve the network performance.
4 NWDAF utilizes the existing service based interfaces to communicate with other 5GC Network Functions and OAM.
5 A 5GC NF may expose the result of the data analytics to any consumer NF utilizing a service based interface.
6 The interactions between NF(s) and the NWDAF take place in the local PLMN (the reporting NF and the NWDAF belong to the same PLMN).
7 Solutions shall neither assume NWDAF knowledge about NF application logic. The NWDAF may use subscription data but only for statistical purpose.

Picture Source: Application of Data Mining in the 5G Network Architecture by Alexandros Kaloxylos

Continuing from 3GPP TR 23.791:

The NWDAF may serve use cases belonging to one or several domains, e.g. QoS, traffic steering, dimensioning, security.
The input data of the NWDAF may come from multiple sources, and the resulting actions undertaken by the consuming NF or AF may concern several domains (e.g. Mobility management, Session Management, QoS management, Application layer, Security management, NF life cycle management).
Use case descriptions should include the following aspects:
1. General characteristics (domain: performance, QoS, resilience, security; time scale).
2. Nature of input data (e.g. logs, KPI, events).
3. Types of NF consuming the NWDAF output data, how data is conveyed and nature of consumed analytics.
4. Output data.
5. Possible examples of actions undertaken by the consuming NF or AF, resulting from these analytics.
6. Benefits, e.g. revenue, resource saving, QoE, service assurance, reputation.

Picture Source: Application of Data Mining in the 5G Network Architecture by Alexandros Kaloxylos

3GPP TS 23.501 V15.2.0 (2018-06) Section 6.2.18 says:

NWDAF represents operator managed network analytics logical function. NWDAF provides slice specific network data analytics to a NF. NWDAF provides network analytics information (i.e., load level information) to a NF on a network slice instance level and the NWDAF is not required to be aware of the current subscribers using the slice. NWDAF notifies slice specific network status analytic information to the NFs that are subscribed to it. NF may collect directly slice specific network status analytic information from NWDAF. This information is not subscriber specific.

In this Release of the specification, both PCF and NSSF are consumers of network analytics. The PCF may use that data in its policy decisions. NSSF may use the load level information provided by NWDAF for slice selection.

NOTE 1: NWDAF functionality beyond its support for Nnwdaf is out of scope of 3GPP.
NOTE 2: NWDAF functionality for non-slice-specific analytics information is not supported in this Release of the specification.

3GPP Release-16 is focusing on 5G Expansion and 5G Efficiency, SON and Big Data are part of 5G Efficiency.

3GPP Release-16 is going to focus on 5G expansion & efficiency. Listen to the @3GPPLive Webinar here: https://t.co/tKzXJ3cUFj pic.twitter.com/1xCZfpT9lt

— 3G4G (@3g4gUK) July 14, 2018

Light Reading Artificial Intelligence and Machine Learning section has a news item on this topic from Layer123's Zero Touch & Carrier Automation Congress:

The 3GPP standards group is developing a machine learning function that could allow 5G operators to monitor the status of a network slice or third-party application performance.

The network data analytics function (NWDAF) forms a part of the 3GPP's 5G standardization efforts and could become a central point for analytics in the 5G core network, said Serge Manning, a senior technology strategist at Sprint Corp.

Speaking here in Madrid, Manning said the NWDAF was still in the "early stages" of standardization but could become "an interesting place for innovation."

The 3rd Generation Partnership Project (3GPP) froze the specifications for a 5G new radio standard at the end of 2017 and is due to freeze another set of 5G specifications, covering some of the core network and non-radio features, in June this year as part of its "Release 15" update.

Manning says that Release 15 considers the network slice selection function (NSSF) and the policy control function (PCF) as potential "consumers" of the NWDAF. "Anything else is open to being a consumer," he says. "We have things like monitoring the status of the load of a network slice, or looking at the behavior of mobile devices if you wanted to make adjustments. You could also look at application performance."

In principle, the NWDAF would be able to make use of any data in the core network. The 3GPP does not plan on standardizing the algorithms that will be used but rather the types of raw information the NWDAF will examine. The format of the analytics information that it produces might also be standardized, says Manning.

Such technical developments might help operators to provide network slices more dynamically on their future 5G networks.

Generally seen as one of the most game-changing aspects of 5G, the technique of network slicing would essentially allow an operator to provide a number of virtual network services over the same physical infrastructure.

For example, an operator could provide very high-speed connectivity for mobile gaming over one slice and a low-latency service for factory automation on another -- both reliant on the same underlying hardware.

However, there is concern that without greater automation operators will have less freedom to innovate through network slicing. "If operators don't automate they will be providing capacity-based slices that are relatively large and static and undifferentiated and certainly not on a per-customer basis," says Caroline Chappell, an analyst with Analysys Mason .

In a Madrid presentation, Chappell said that more granular slicing would require "highly agile end-to-end automation" that takes advantage of progress on software-defined networking and network functions virtualization.

"Slices could be very dynamic and perhaps last for only five minutes," she says. "In the very long term, applications could create their own slices."

Despite the talk of standardization, and signs of good progress within the 3GPP, concern emerged this week in Madrid that standards bodies are not moving quickly enough to address operators' needs.

Caroline Chappell's talk is available here whereas Serge Manning's talk is embedded below:



I am helping CW organise the annual CW TEC conference on the topic The inevitable automation of Next Generation Networks

#CWTEC 2018 planning committee working hard to bring an exciting conference - explores the role of #AI in delivering Next Gen. Network performance; & bridges the gap between #AI/#ML & Telecos communities! @zahidtg @Bob_CWCEO @swunger Paul Ceely @bt_uk , John Haine @BristolCSN pic.twitter.com/4uGprC1usg

— Sylvia Lu (@SylviaLuUk) July 23, 2018

Communications networks are perhaps the most complex machines on the planet. They use vast amounts of hardware, rely on complex software, and are physically distributed over land, underwater, and in orbit. They increasingly provide essential services that underpin almost every aspect of life. Managing networks and optimising their performance is a vast challenge, and will become many times harder with the advent of 5G. The 4th Annual CW Technology Conference will explore this challenge and how Machine Learning and AI may be applied to build more reliable, secure and better performing networks.

Is the AI community aware of the challenges facing network providers? Are the network operators and providers aware of how the very latest developments in AI may provide solutions? The conference will aim to bridge the gap between AI/ML and communications network communities, making each more aware of the nature and scale of the problems and the potential solutions.

I am hoping to see some of this blog readers at the conference. Looking forward to learning more on this topic amongst others for network automation.

Related Post:

• Artificial Intelligence - Beyond SON for Autonomous Networks

Short summary of #CWFDT event 'Smart Devices of 2025'

Last month, just before the Easter break, I along with some other SIG champions of the Future Devices & Technologies group at CW (Cambridge Wireless) organised an event titled 'Smart Devices of 2025'. Technologies are moving at such an amazing speed that it is not easy to foresee anything beyond 6-8 years. Hence 2025, 7 years from now.

Introduction to CW Future Devices & Technologies Group (#CWFDT) from 3G4G

As this was the inaugural event for the revamped SIG, the slides above are my quick introduction to the SIG. We not only talked about the future but we had some nice futuristic devices too. The nuFood 3D Food Printer by Dovetailed printed out some fancy toppings that could go on cheesecake and on other food, making it more appetising. Here is the video on how it works.



All the talks were very informative and very well explained. Its amazing how all of them came together to form a complete picture. The talks are all available here (limited time for non-CW members)

The starting talk by David Wood (@dw2), chair of London Futurists was not only informative and relevant to the subject being discussed but equally entertaining, especially for those who have been in the mobile industry for a long time. He has kindly agreed for me to share his slides which are embedded below.

Scenarios for Smart Devices in 2025: Brave New Smartphone and/or Black Mirror? from 3G4G

David talks about NBIC (slide 18) and how it could be combined with Social-tech and Planetary-tech in future to do a lot more than what we can do with it today. While David explains NBIC in his slides, I found this short video on this topic that I think is worth embedding.



It was also good to hear Dr Jenny Tillotson again after a long time. I blogged about smell transmission some 6 years back here. This is something that is still work in progress and probably will be ready by 2025. In the meantime 'Context-Driven Fragrances' can be used for variety of purposes from entertainment to health.

A fantastic talk from @scentsory on Context-Driven Fragrances #CWFDT pic.twitter.com/RoSTMiUqYz

— Zahid Ghadialy (@zahidtg) March 27, 2018

Finally, here is another small presentation (with embedded video) on Telepresence Robots that I did.

Telepresence Robots from 3G4G

Related posts:

• Have Wearables Found Their True Killer App? - Nitin Dahad, EE Times European correspondent
• Smart Devices of 2025 - Howard Read, Associate, Appleyard Lees

#CWHeritage Talk: The History of Synchronization in Digital Cellular Networks

CW (a.k.a. Cambridge Wireless) held a very interesting event titled 'Time for Telecoms' at the Science Museum in London. I managed to record this one talk by Prof. Andy Sutton, who has also kindly shared slides and some other papers that he mentions in his presentation. You can also see the tweets from the event on Twitter.

The video playlist and the presentation is embedded below.

The history of synchronisation in digital cellular networks from 3G4G

The papers referred to in the presentation/video available as follows:

• Martin Kingston: The need for Synchronisation in Telecommunications
• Charles Curry: Time from the Sky
• Sébastien Jobert & Kenneth Hann: Synchronisation and Time Distribution in Modern Telecommunications Networks
• Tommy Cook & Tim Frost: Stepping up to the Challenge on Tighter Time Accuracy.
• Andy Sutton: The history of synchronisation in digital cellular networks

The small detail about 5G you may have missed...

While going through the latest issue of CW Journal, I came across this article from Moray Rumney, Lead Technologist, Keysight. It highlights an interesting point that I missed out earlier that 5G also includes all LTE specifications from Release 15 onwards.

I reached out to our CW resident 3GPP standards expert Sylvia Lu to clarify and received more details.

There is a whole lot of detail available in RP-172789.zip. Here RIT stands for Radio Interface Technology and SRIT for Set of RIT.

Indeed, NB-IoT and Cat-M will also be part of the initial IMT-2020 submissions early next year.. watch the space

— Sylvia Lu (@SylviaLuUk) December 22, 2017

In fact at Sylvia clarified, NB-IoT and Cat-M will also be part of the initial IMT-2020 submissions early next year. Thanks Sylvia.

There is also this nice presentation by Huawei in ITU (here) that describes Requirements, Evaluation Criteria and Submission Templates for the development of IMT-2020. It is very helpful in understanding the process.

Coming back to the question I have often asked (see here for example),
1. What features are needed for operator to say they have deployed 5G, and
2. How many sites / coverage area needed to claim 5G rollout

With LTE Release-15 being part of 5G, I think it has just become easy for operators to claim they have 5G.

What do you think?

Bluetooth 5 for IoT

Bluetooth 5 (not 5.0 - to simplify marketing messages and communication) was released last year. The main features being 2x Faster, 4x Range (Bluetooth 4 - 50m outdoors, 10m Indoors; Bluetooth 5 - 200m outdoors, 40m indoors) & 8x Data.

I like this above slide by Robin Heydon, Qualcomm from a presentation he gave in CW (Cambridge Wireless) earlier this year. What is highlights is that Bluetooth 5 is Low Energy (LE) like its predecessor 4.0.For anyone interested, a good comparison of 5 vs 4.2 is available here.

In addition, Mesh support is now available for Bluetooth. I assume that this will work with Bluetooth 4.0 onwards but it would probably only make sense from Bluetooth 5 due to support for reasonable range.

The Bluetooth blog has a few posts on Mesh (see here, here and here). I like this simple introductory video below.


This recent article by Geoff Varral on RTT says the following (picture from another source):

Long distance Bluetooth can also be extended with the newly supported mesh protocol.

This brings Bluetooth into direct competition with a number of other radio systems including 802.15,4 based protocols such as Zigbee, LoRa, Wireless-M (for meter reading), Thread and 6 LowPAN (IPV6 over local area networks. 802.11 also has a mesh protocol and long distance ambitions including 802.11ah Wi-Fi in the 900 MHz ISM band. It also moves Bluetooth into the application space targeted by LTE NB IOT and LTE M though with range limitations.

There are some interesting design challenges implied by 5.0. The BLE specification is inherently less resilient to interference than Classic or EDR Bluetooth. This is because the legacy seventy eight X 1 MHz channels within the 20 MHz 2.4 GHz pass band are replaced with thirty nine two MHz channels with three fixed non hopping advertising channels in the middle and edge of the pass band.

These have to withstand high power 20 MHz LTE TDD in Band 40 (below the 2.4 GHz pass band) and high power 20 MHz LTE TDD in band 41 above the pass band (and Band 7 LTE FDD). This includes 26 dBm high power user equipment.

The coexistence of Bluetooth, Wi-Fi and LTE has been intensively studied and worked on for over ten years and is now managed with surprising effectiveness within a smart phone through a combination of optimised analogue and digital filtering (SAW and FBAR filters) and time domain interference mitigation based on a set of  industry standard wireless coexistence protocols.

The introduction of high power Bluetooth however implies that this is no longer just a colocation issue but potentially a close location issue. Even managing Bluetooth to Bluetooth coexistence becomes a non-trivial task when you consider that +20 dBm transmissions will be closely proximate to -20 dBm or whisper mode -30 dBm transmissions and RX sensitivity of -93 dBm, potentially a dynamic range of 120dB. Though Bluetooth is a TDD system this isolation requirement will be challenging and vulnerable to ISI distortion. 

More broadly there is a need to consider how ‘5G Bluetooth’ couples technically and commercially with 5G including 5G IOT

Ericsson has a whitepaper on Bluetooth Mesh Networking. The conclusion of that agrees that Bluetooth may become a relevant player in IoT:

Bluetooth mesh is a scalable, short-range IoT technology that provides flexible and robust performance. The Bluetooth Mesh Profile is an essential addition to the Bluetooth ecosystem that enhances the applicability of Bluetooth technology to a wide range of new IoT use cases. Considering the large Bluetooth footprint, it has the potential to be quickly adopted by the market. 

With proper deployment and configuration of relevant parameters of the protocol stack, Bluetooth mesh is able to support the operation of dense networks with thousands of devices. The building automation use case presented in this white paper shows that Bluetooth mesh can live up to high expectations and provide the necessary robustness and service ratio. Furthermore, the network design of Bluetooth mesh is flexible enough to handle the introduction of managed operations on top of flooding, to further optimize behavior and automate the relay selection process.

Moreover, another Ericsson article says that "smartphones with built-in Bluetooth support can be part of the mesh, may be used to configure devices and act as capillary gateways."

A capillary network is a LAN that uses short-range radio-access technologies to provide groups of devices with wide area connectivity. Capillary networks therefore extend the range of the wide area mobile networks to constraint devices. Figure above illustrates the Bluetooth capillary gateway concept.

Once there are enough smartphones and Bluetooth devices with Bluetooth 5 and Mesh support, It would be interesting to see how developers use it. Would also be interesting to see if it will start encroaching LoRa and Sigfox markets as well.

AT&T Blog: "Providing Connectivity from Inside a Cactus"

A recent AT&T blog post looks at how the fake cactus antennas are manufactured. I also took a closeup of a fake cactus antenna when I went to a Cambridge Wireless Heritage SIG event as can be seen in tweet below.

I also spotted a fake base station at @sciencemuseum 👀📶😎 #CWWH pic.twitter.com/avyiIqte64

— Zahid Ghadialy (@zahidtg) April 29, 2017

The blog says:

To make a stealth site look as real as possible, our teams use several layers of putty and paint. Our goal is to get the texture and color just right, but also ensure it can withstand natural elements – from snowy Colorado to blistering Arizona. 

Tower production takes 6-8 weeks and starts with constructing a particular mold. The molds quickly become 30-foot tall saguaro cacti or 80-foot tall redwood trees.But these aren’t just steel giants. 

The materials that cover the stealth antennas, like paint or faux-leaves, must be radio frequency-friendly. Stealth antennas designed to look like church steeples or water towers are mostly made of fiberglass. This lets the signal from the antennas penetrate through the casing. 

These stealth deployments are just one of the many unique ways we provide coverage to our customers. So take a look outside, your connection may be closer than you think—hidden in plain sight!

This videos gives a good idea


If this is a topic of interest, then have a look at this collection of around 100 antennas:

Antennas: A Collection from 3G4G

See also:

• Different types of Mobile Masts
• The Art of Disguising Cellular Antennas
• Disguising Small Cells in Rural areas

Wireless Smart Ubiquitous Network (Wi-SUN) - Another IoT Standard

While we have been discussing IoT these last few weeks, here is another one that I came across. This picture above from a recent Rethink research shows that Wi-SUN is going to enjoy more growth than LoRaWAN or Sigfox. Another recent report by Mobile Experts also makes a mention of this IoT technology.

I am sure most of the readers have not heard of Wi-SUN, so what exactly is Wi-SUN technology?

From Rethink Research, The Wi-SUN Alliance was formed in 2011 to form an organization to push adoption of the IEEE 802.15.4g standard, which aimed to improve utility networks using a narrowband wireless technology. The peer-to-peer self-healing mesh has moved from its initial grid focus to encompass smart city applications (especially street lighting), and we spoke to its Chairman, Phil Beecher, to learn more.

Beecher explained that the non-profit Alliance set about defining subsets of the open standards, testing for interoperability, and certifying compatible products, and soon developed both a Field Area Network (FAN) and a Home Area Network (HAN), which allowed it to move into Home Energy Management Systems (HEMS) in Japan – a country that is leading the curve in HEMS deployments and developments.

As can be seen in the picture above:

• Develops technical specifications of Physical Layer (PHY) and Medium Access Control (MAC) layers, with Network layer as required
• Develop Interoperability test programs to ensure implementations are interoperable
• Physical layer specification is based on IEEE802.15.4g/4u/4v
• MAC layer may use different options depending on the application
• Profile specifications are categorized based on application types

Picture source for the last three pics, Wi-SUN presentation here.

A new whitepaper from Wi-SUN Alliance provides comparison of Wi-SUN, LoRaWAN and NB-IoT.

A recent presentation by Dr. Simon Dunkley in Cambridge Wireless is embedded below:

Critical networking using mesh Wi-SUN technology from 3G4G

Further reading:

• Wi-SUN Alliance: Whitepapers
• Wi-SUN Alliance: Presentations
• Wi-SUN Alliance Advances Smart Cities, IoT In India After Completing First Interoperability Event Of IEEE802.15.4u PHY
• WiSUN: A Proven Solution Delivering Ubiquitous Connectivity
• Wi-SUN Alliance releases smart city and metering protocol standard

5G, Debates, Predictions and Stories

This post contains summary of three interesting events that took place recently.

CW (Cambridge Wireless) organised a couple of debates on 5G as can be seen from the topics above. Below is the summary video and twitter discussion summary/story.

The second story is from 'The Great Telco Debate 2016' organised by TM forum

I am not embedding the story but for anyone interested, they can read the twitter summary here: https://storify.com/zahidtg/the-great-telco-debate-2016

Finally, it was 'Predictions: 2017 and Beyond', organised by CCS Insight. The whole twitter discussion is embedded below.

Quantum Technology and Future Telecommunications

Last year I posted an excerpt from an article in FT which implied that Quantum technology will play a big role in post-5G world. Earlier this month CW held their annual Technology & Engineering Conference (CW TEC). The topic was "The Quantum Revolution is coming". I have to admit that I knew next to nothing before the conference, however now I hope I know just enough to dabble in quantum technology related discussions.

The main question that I had before the conference was 'when will quantum technology be here?'. While there were different answers, depending on what you think Quantum is, I think the answer I feel comfortable is more like 2030 (just in time for 6G?)

There are already some great write-ups of the conference by others, please see links at the bottom of the post. Here are the presentations from the event:

• How to build a universal quantum computer by John Morton, University College London
  
• The end of cryptography as we know it by Michael Brown, Isara Corporation
  
• The quantum challenge and opportunity by Paul Martin, Plextek
  
• The UK Quantum Technology Programme and Funding Opportunities by Richard Murray, Innovate UK
  
• Quantum sensing, positioning and navigation by Trevor Cross, e2v
  
• The quantum challenge and opportunity by Zhiliang Yuan, Toshiba

Related Articles:

• TelcoFuturism - the impact of Quantum Technology - Dean Bubley, Disruptive Analysis
• Is Quantum Computing the future? Cambridge conference has the answers - Cambridge News
• Quantum 2.0 has potential to create step change in computing and communications - Cambridge Wireless
• Are you ready for the Quantum Revolution? - Mark England, Cambridge Consultants
• Does cryptography offer data protection a quantum of solace? - David Reed, DataIQ
• CW TEC 2016: The Quantum Revolution is coming! Quantum Communications & Computing: How will quantum technologies disrupt wireless?
• CW TEC main page

Connected and Autonomous vehicles: Beyond Infotainment and Telematics

An interesting presentation from the recent Cambridge Wireless Future of Wireless International Conference 2016, delivered by David Wong of SMMT. The presentation and video of this talk is embedded below.

You can view many presentations from #FWIC16 at Cambridge Wireless page here and videos here.

5G & 802.11ax

Samsung is one of the 5G pioneers who has been active in this area for quite a while, working in different technology areas but also making results and details available for others to appreciate and get an idea on what 5G is all about. 

I published a post back in 2014 from their trials going on then. Since then they have been improving on these results. They recently also published the 5G vision paper which is available here and here.

Lots of interesting technical details on 5G trials by @RajGawera, @SamsungUK #5GHuddle pic.twitter.com/BLXPFV9EjY

— Zahid Ghadialy (@zahidtg) April 26, 2016

In the recent 5G Huddle, Raj Gawera from Samsung gave an excellent presentation (below) on the topic of "The future connected world". 

What we really liked is how closely 5G and 802.11ax can be considered aligned, not only in terms of requirements but also the roadmap.

Fascinating talk from @RajGawera concludes with a review of the 5G & 802.11ax roadmaps #5GHuddle pic.twitter.com/P5sbvkc0jB

— Andy Sutton (@960sutton) April 26, 2016

Anyway, here is the presentation embedded below. Let me know what you think in the comments below.

LTE-M a.k.a. Rel-13 Cellular IoT

Some months back I wrote about the LTE Category-0 devices here. While Rel-12 LTE Cat 0 devices are a first step in the right direction, they are not enough for small sensor type of devices where long battery life is extremely important. As can be seen in the picture above, this will represent a huge market in 2025.

To cater for this requirement of extremely long battery life, it is proposed that Rel-13 does certain modifications for these low throughput sensor type devices. The main modification would be that the devices will work in 1.4MHz bandwidth only, regardless of the bandwidth of the cell. The UE transmit power will be max of 20dB and the throughput would be further reduced to a maximum of 200kbps.

The presentation, from Cambridge Wireless Future of Wireless International Conference is embedded below:

The IoTopportunity from Zahid Ghadialy

See also:

• LTE Category-0 low power M2M devices

The path from 4.5G to 5G

In the WiFi Global Congress last week, I heard this interesting talk from an ex-colleague who now works with Huawei. While there were a few interesting things, the one I want to highlight is 4.5G. The readers of this blog will remember that I introduced 4.5G back in June last year and followed it with another post in October when everyone else started using that term and making it complicated.

According to this presentation, 3GPP is looking to create a new brand from Release-13 that will supersede LTE-Advanced (LTE-A). Some of you may remember that the vendor/operator community tried this in the past by introducing LTE-B, LTE-C, etc. for the upcoming releases but they were slapped down by 3GPP. Huawei is calling this Release-13 as 4.5G but it would be re-branded based on what 3GPP comes up with.

Another interesting point are the data rates achieved in the labs, probably more than others. 10.32Gbps in sub-6GHz in a 200MHz bandwidth and 115.20Gbps using a 9.6GHz bandwidth in above 6GHz spectrum. The complete presentation as follows:

Huawei: Paving the Way to 5G from Zahid Ghadialy

Another Huawei presentation that merits inclusion is the one from the last Cambridge Wireless Small Cells SIG event back in February by Egon Schulz. The presentation is embedded below but I want to highlight the different waveforms that being being looked at for 5G. In fact if someone has a list of the waveforms, please feel free to add it in comments

Research challenges in #5G #IEEE #Bangalore #5GTechnologyWorkshop pic.twitter.com/CQhwGfVb8T

— Amod Anandkumar (@amodjaiga) May 22, 2015

The above tweet from a recent IEEE event in Bangalore is another example of showing the research challenges in 5G, including the waveforms. The ones that I can obviously see from above is: FBMC, UFMC, GFDM, NOMA, SCMA, OFDM-opt, f-OFDM.

The presentation as follows:

Huawei: Forward 2020 -> 5G from Zahid Ghadialy

Smart Homes of the Future and Technologies

Saw the above picture recently on Twitter. While its great to see how connected our future homes and even cities would be, it would be interesting to see what technologies are used for connecting these devices.

Cambridge Wireless had a smart homes event last month, there were some interesting presentations that I have detailed below.

The first of these technologies discussed is LoRa. As can be seen, its billed as ultimate long range (10 mile) and low power (10 year battery lifetime) technology. It uses spread-spectrum making it robust to channel noise. Here is the presentation:

The next technology is Zigbee 3.0. According to Zigbee Alliance:

The new standard unifies ZigBee standards found in tens of millions of devices delivering benefits to consumers today. The ZigBee 3.0 standard enables communication and interoperability among devices for home automation, connected lighting, energy efficiency and other markets so more diverse, fully interoperable solutions can be delivered by product developers and service providers. All device types, commands, and functionality defined in current ZigBee PRO-based standards are available to developers in the new standard.

ZigBee 3.0 defines the widest range of device types including home automation, lighting, energy management, smart appliance, security, sensors, and health care monitoring products. It supports both easy-to-use DIY installations as well as professionally installed systems. Based on IEEE 802.15.4, which operates at 2.4 GHz (a frequency available for use around the world), ZigBee 3.0 uses ZigBee PRO networking to enable reliable communication in the smallest, lowest-power devices. Current ZigBee Certified products based on ZigBee Home Automation and ZigBee Light Link are interoperable with ZigBee 3.0. A complete list of standards that have been merged to create ZigBee 3.0 can be seen on the website at www.ZigBee.org.

“The ZigBee Alliance has always believed that true interoperability comes from standardization at all levels of the network, especially the application level which most closely touches the user,” said Tobin J. M. Richardson, President and CEO of the ZigBee Alliance. “Lessons learned by Alliance members when taking products to market around the world have allowed us to unify our application standards into a single standard. ZigBee 3.0 will allow product developers to take advantage of ZigBee’s unique features such as mesh networking and Green Power to deliver highly reliable, secure, low-power, low-cost solutions to any market.”

ZigBee (3.0): Global Standard for IoT from Zahid Ghadialy

Finally, we have Bluetooth Smart mesh.

CSRmesh enables Bluetooth® low energy devices not only to receive and act upon messages, but also to repeat those messages to surrounding devices thus extending the range of Bluetooth Smart and turning it into a mesh network for the Internet of Things.

Bluetooth Smart Mesh for the Smart Home from Zahid Ghadialy

While the CW event was not able to discuss all possible technologies (and believe me there are loads of them), there are other popular contenders. Cellular IoT (CIoT) is one if them. I have blogged about the LTE Cat-0 here and 5G here.

A new IEEE Wi-Fi standard 802.11ah using the 900MHz band has been in works and will solve the need of connectivity for a large number of things over long distances. A typical 802.11ah access point could associate more than 8,000 devices within a range of 1 km, making it ideal for areas with a high concentration of things. The Wi-Fi Alliance is committed to getting this standard ratified soon. With this, Wi-Fi has the potential to become a ubiquitous standard for IoT. See also this article by Frank Rayal on this topic.

Finally, there is SIGFOX. According to their website:

SIGFOX uses a UNB (Ultra Narrow Band) based radio technology to connect devices to its global network. The use of UNB is key to providing a scalable, high-capacity network, with very low energy consumption, while maintaining a simple and easy to rollout star-based cell infrastructure.

The network operates in the globally available ISM bands (license-free frequency bands) and co-exists in these frequencies with other radio technologies, but without any risk of collisions or capacity problems. SIGFOX currently uses the most popular European ISM band on 868MHz (as defined by ETSI and CEPT) as well as the 902MHz in the USA (as defined by the FCC), depending on specific regional regulations.

Communication on SIGFOX is secured in many ways, including anti-replay, message scrambling, sequencing, etc. The most important aspect of transmission security is however that only the device vendors understand the actual data exchanged between the device and the IT systems. SIGFOX only acts as a transport channel, pushing the data towards the customer's IT system.

An important advantage provided by the use of the narrow band technology is the flexibility it offers in terms of antenna design. On the network infrastructure end it allows the use of small and simple antennas, but more importantly, it allows devices to use inexpensive and easily customizable antennas.

Sigfox is also working on project Mustang, a three-year effort to build a hybrid satellite/terrestrial IoT (internet of things) network. According to Rethink Research:

The all-French group also contains aerospace firm Airbus, research institute CEA-Leti and engineering business Sysmeca. The idea is to use Sigfox as the terrestrial data link, with satellite backhaul and connections to planes and boats provided by a low-earth orbit (LEO) satellite constellation.
...
The satellite link could be added to either the end devices or the base station, so that if a device was unable to connect to the terrestrial Sigfox network, it could fall back to the satellite.

While the power requirements for this would be prohibitive for ultra-low power, battery-operated devices, for those with a wired power supply and critical availability requirements (such as smart meters, alarms, oil tankers and rigs) the redundancy would be an asset. These devices may transmit small amounts of data but when they do need to communicate, the signal must be assured.

The Sigfox base station could be fitted with a satellite uplink as a primary uplink as well as a redundancy measure in some scenarios where terrestrial network reach cannot be achieved. With a three-year lifecycle, Mustang’s participants are looking to create a seamless global network, and note that the planned dual-mode terrestrial/satellite terminal will enable switching between the two channels in response to resource availability.

The group says that the development of this terminal modem chipset is a priority, with later optimization of the communication protocols being the next step before an application demonstration using an airplane.

The project adds that the full potential of the IoT can only be achieved by offering affordable mobile communications at a global scale and reach. Key to this is adapting existing networks, according to the group, which explains why Sigfox has been chosen – given that the company stresses the affordability of its system.

Well, there are a lots of options available. We just have to wait and see which ones work in what scenarios.