Showing posts with label NB-IoT. Show all posts
Showing posts with label NB-IoT. Show all posts

Wednesday 31 May 2023

New 5G NTN Spectrum Bands in FR1 and FR2

Release-17 includes two new FR1 bands for NTN; n255 (a.k.a. NTN 1.6GHz) and n256 (a.k.a. NTN 2GHz). The picture is from a slide in Rohde & Schwarz presentation available here. Quoting from an article by Reiner Stuhlfauth, Technology Manager Wireless, Rohde & Schwarz:

Currently, several frequency ranges are being discussed within 3GPP for NTN. Some are in the FR1 legacy spectrum, and some beyond 10 GHz and FR2. The current FR1 bands discussed for NTN are:

  • The S-band frequencies from 1980 to 2010 MHz in uplink (UL) direction and from 2170 to 2200 MHz in downlink (DL) direction (Band n256).
  • The L-band frequencies from 1525 to 1559 MHz DL together with 1626.5 to 1660.5 MHz for the UL (Band n255).1

These frequency ranges have lower path attenuation, and they’re already used in legacy communications. Thus, components are available now, but the bands are very crowded, and the usable bandwidth is restricted. Current maximum bandwidth is 20 MHz with up to 40-MHz overall bandwidth envisaged in the future [TR 38.811].

As far as long-term NTN spectrum use is concerned, 3GPP is discussing NR-NTN above 10 GHz. The Ka-band is the highest-priority band with uplinks between 17.7 and 20.2 GHz and downlinks between 27.5 and 30 GHz, based on ITU information regarding satellite communications frequency use.2 Among current FR2 challenges, one is that some of the discussed bands fall into the spectrum gap between FR1 and FR2 and that NTN frequencies will use FDD duplex mode due to the long roundtrip time.

Worth highlighting again that the bands above, including n510, n511 and n512 are all FDD bands due to the long round trip times.

The latest issue of 3GPP highlight magazine has an article on NTN as well. Quoting from the article:

The NTN standard completed as part of 3GPP Release 17 defines key enhancements to support satellite networks for two types of radio protocols/interfaces:

  • 5G NR radio interface family also known as NR-NTN
  • 4G NB-IoT & eMTC radio interfaces family known as IoT-NTN

These critical enhancements including adaptation for satellite latency and doppler effects have been carefully defined to support a wide range of satellite network deployment scenarios and orbits (i.e., LEO, MEO and GEO), terminal types (handheld, IoT, vehicle mounted), frequency bands, beam types (Earth fixed/Earth moving) and sizes. The NTN standard also addresses mobility procedures across both terrestrial and non-terrestrial network components. Release 17 further includes Radio Frequency and Radio Resource Management specifications for terminals and satellite access nodes operating in two FR1 frequency ranges allocated to Mobile Satellite Services (i.e., n255 and n256).

You can read it here.

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Friday 20 November 2020

Business Role Models for Network Slicing and iRAT Mobility for Cellular Internet of Things (CIoT) in Release 16

 3GPP Release 16 describes business role models for network slicing and in TR 21.916 I found the figures below that I have pimped a little bit to illustrate an asset tracking use case for goods transported with a truck from Factory A to Factory B. 

Factory B is equipped with a 5G Non-Public Network (NPN) that broadcasts an NPN-ID or - if the network infrastructure is deployed by an operator - a Cell Access Group ID (CAG ID).

I would like to assume that in case of the scenario shown in 3GPP Figure 2-2 the asset tracking CIoT devices are able to access any necessary PLMN, Network Slice and NPN. This can be achieved e.g. by using an eSIM. 

So while the truck is at the location of Factory A the asset tracking "things" will connect to the private slice of Factory A provided by the operator of PLMN 1. Factory A is a tenant of this operator. This means: Factory A rented a virtual part of PLMN1 for private use and technically this rented virtual network part is realized by a NW slice. 

When the truck leaves Factory A and drives on the road (maybe a long distance) to Factory B the asset tracking data must be transmitted over public mobile network infrastructure. Depending on rural coverage this service can be offered by PLMN 2 (as in case of 3GPP figure 2-2) or by PLMN 1 (as in case of 3GPP figure 2-3).

In case of 3GPP figure 2-4 the operator of PLMN 1 is even able to provide the private slice along the road, which allows Factory A to stretch the coverage of their virtual private network (slice) over a very long distance.

Looking further into the Cellular IoT enhancements defined by 3GPP in Release 16 it turns out that actually there is no need for a nation-wide 5G coverage to realize at least the role models shown in the 3GPP figures 2-2 and 2-3.

Because Release 16 also defines co-existence and inter-RAT mobility between 5G CIoT traffic and 4G NB-IoT the operators of PLMN 1 and PLMN 2 may offer NB-IoT coverage along the road while the factories are covered with 5G NR frequency cells - as shown in my second figure below.  

It illustrates the great improved flexibility that Release 16 standards are offering for customized business solutions and monitoring the service quality is not a trivial task under these circumstances.  


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Tuesday 17 November 2020

5G Non IP Data Delivery and Lightweight M2M (LwM2M) over NIDD

Earlier this year, MediaTek had announced that its MT2625 NB-IoT chip has been validated for LwM2M over NIDD on SoftBank Corp.’s cellular network across Japan. This achievement marks the first global commercial readiness of LwM2M over NIDD; a secure, ultra-efficient IoT communications technique that is being adopted by operators worldwide. The benefits of LwM2M over NIDD include security improvements, cost-efficient scalability and reduced power consumption.

LwM2M over NIDD is a combination of the communication technology "NIDD (Non-IP Data Delivery)" that does not use an IP address in LTE communication NB-IoT for IoT and the device management protocol "LwM2M (Lightweight M2M)" advocated by the Open Mobile Alliance. It's been a while since I wrote about Open Mobile Alliance on this blog. OMA SpecWorks is the successor brand to the Open Mobile Alliance. You can read all about it here.


OMA SpecWorks’ LightweightM2M is a device management protocol designed for sensor networks and the demands of a machine-to-machine (M2M) environment. With LwM2M, OMA  SpecWorks has responded to demand in the market for a common standard for managing lightweight and low power devices on a variety of networks necessary to realize the potential of IoT. The LwM2M protocol, designed for remote management of M2M devices and related service enablement, features a modern architectural design based on REST, defines an extensible resource and data model and builds on an efficient secure data transfer standard called the Constrained Application Protocol (CoAP). LwM2M has been specified by a group of industry experts at the OMA SpecWorks Device Management Working Group and is based on protocol and security standards from the IETF.

You can get all the LwM2M resources here and the basic specs of 'Lightweight M2M 1.1: Managing Non-IP Devices in Cellular IoT Networks' here.
The 5G Americas whitepaper 'Wireless Technology Evolution Towards 5G: 3GPP Release 13 to Release 15 and Beyond' details how Current Architecture for 3GPP Systems for IOT Service Provision and Connectivity to External Application Servers. It also talks about Rel-13 Cellular IoT EPS Optimizations which provide improved support of small data transfer over control plane and user plane. Control Plane CIoT EPS Optimization transports user data (measurements, ID, status, etc.) via MME by encapsulating user data in NAS PDUs and reduces the total number of control plane messages when handling a short data transaction. Control Plane CIoT EPS optimization, designed for small infrequent data packets, can also be used for larger data bursts depending in UE Radio capability.

User data transported using the Control Plane CIoT EPS Optimization, has special characteristics, as different mobility anchor and termination nodes.

Therefore, the Preferred Network Behavior signaling must include information on:
  • Whether Control Plane CIoT EPS optimization is supported
  • Whether User Plane CIoT EPS optimization is supported
  • Whether Control Plane CIoT EPS optimization is preferred or whether User Plane CIoT EPS optimization is preferred
These optimizations have enabled:
  • Non-IP Data Delivery (NIDD) for both: mobile originated and mobile terminated communications, by using SCEF (Service Capability Exposure Function) or SGi tunneling. However, it has to be taken into account that Non-IP PDUs may be lost and its sequence is not guaranteed
  • For IP data, the UE and MME may perform header compression based on Robust Header Compression (ROHC) framework
  • NB-IoT UE can attach but not activate any PDN connection
  • High latency communication handled by the buffering of downlink data (in the Serving GW or the MME)
  • SMS transfer
  • EPS Attach, TA Update and EPS Detach procedures for NB-IoT only UEs, with SMS service request
  • Procedures for connection suspend and resume are added
  • Support for transfer of user plane data without the need for using the Service Request procedure to establish Access Stratum context in the serving eNodeB and UE
When selecting an MME for a UE that is using the NB-IoT RAT, and/or for a UE that signals support for CIoT EPS Optimizations in RRC signaling, the eNodeB’s MME selection algorithm shall select an MME taking into account its Release 13 NAS signaling protocol.

Mpirical has a nice short video explaining 5G Non IP Data Delivery. It is embedded below.

IoT has not taken off as expected and prophesised for years. While the OMASpecWorks is doing some fantastic work by defining simplified approach for IoT deployment, its current member list doesn't have enough operators to drive the uptake required for its spec adoption. They would argue that it doesn't matter how many members there are as the NIDD approach is completely optional and over-the-top. Let's wait and see how it progresses.

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Sunday 27 October 2019

R&S Webinar on LTE-A Pro and evolution to 5G


Rohde & Schwarz recently uploaded a webinar video on their YouTube channel. I found it really useful. It's embedded below.

Topics covered:

  • LTE-M / NB-IoT
    • feMTC
    • UE Category M2
    • OTDOA based positioning
  • UE Categories
  • Unlicensed Spectrum Overview
  • LTE in Unlicensed Spectrum
    • LWA, LWIP
    • LAA, eLAA
    • Wi-Fi
    • LBT
    • LWA mobility
  • Carrier Aggregation Enhancements
  • Multi-user superposition transmission (MUST)
  • Single cell - point to multipoint transmission (SC-PTM)
    • SC-PTM Channel Structure
    • SC-PTM Channel Flow
  • Massive MIMO
  • V2X Overview
    • eNB scheduling - transmission mode 3
    • Distributed scheduling - transmission mode 4
    • Direct communication
  • LTE Advanced Pro (Release 15)
    • Further NB-IoT Enhancements
    • Even further enhanced MTC - eMTC4 (Rel-15)



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Tuesday 13 August 2019

New 3GPP Release-17 Study Item on NR-Lite (a.k.a. NR-Light)

3GPP TSG RAN#84 was held from June 3 – 6, 2019 at Newport Beach, California. Along with a lot of other interesting topics for discussion, one of the new ones for Release-17 was called NR-Lite (not 5G-lite). Here are some of the things that was being discussed for the Study item.
In RP-190831, Nokia proposed:
  • NR-Lite should address new use cases with IoT-type of requirements that cannot be met by eMTC and NB-IoT:
    • Higher data rate & reliability and lower latency than eMTC & NB-IoT
    • Lower cost/complexity and longer battery life than NR eMBB
    • Wider coverage than URLLC
  • Requirements and use cases –
    • Data rates up to 100 Mbps to support e.g. live video feed, visual production control, process automation
    • Latency of around [10-30] ms to support e.g. remote drone operation, cooperative farm machinery, time-critical sensing and feedback, remote vehicle operation
    • Module cost comparable to LTE
    • Coverage enhancement of [10-15]dB compared to URLLC
    • Battery life [2-4X] longer than eMBB
  • Enable single network to serve all uses in industrial environment
    • URLLC, MBB & positioning

The spider chart on the right shows the requirements for different categories of devices like NB-IoT, eMTC (LTE-M), NR-LITE, URLLC and eMBB.
The understanding in the industry is that over the next 5 years, a lot of 4G spectrum, in addition to 2G/3G spectrum, would have been re-farmed for 5G. By introducing NR-Lite, there would be no requirement to maintain multiple RATs. Also, NR-Lite can take advantage of 5G system architecture and features such as slicing, flow-based QoS, etc.
Qualcomm's views in RP-190844 were very similar to those of Nokia's. In their presentation, the existing 5G devices are billed as 'Premium 5G UEs' while NR-Lite devices are described as 'Low tier 5G UEs'. This category is sub-divided into Industrial sensors/video monitoring, Low-end wearables and Relaxed IoT.

The presentation provides more details on PDCCH Design, Co-existence of premium and Low Tier UEs, Peak Power and Battery Life Optimizations, Contention-Based UL for Small Data Transmission, Relaying for Wearable and Mesh for Relaxed IoT
Ericsson's presentation described NR-Lite for Industrial Sensors and Wearables in RP-191047. RP-191048 was submitted as New SID (Study Item Description) on NR-Lite for Industrial Sensors and Wearables. The SID provides the following details:

The usage scenarios that have been identified for 5G are enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and time critical machine-type communication (cMTC). In particular, mMTC and cMTC are associated with novel IoT use cases that are targeted in vertical industries. 

In the 3GPP study on “self-evaluation towards IMT-2020 submission” it was confirmed that NB IoT and LTE M fulfill the IMT-2020 requirements for mMTC and can be certified as 5G technologies. For cMTC support, URLLC was introduced in Release 15 for both LTE and NR, and NR URLLC is further enhanced in Release 16 within the enhanced URLLC (eURLLC) and Industrial IoT work items.

One important objective of 5G is to enable connected industries. 5G connectivity can serve as catalyst for next wave of industrial transformation and digitalization, which improve flexibility, enhance productivity and efficiency, and improve operational safety. The transformed, digitalized, and connected industry is often referred to as Industry 4.0. Industrial sensors and actuators are prevalently used in many industries, already today. Vast varieties of sensors and actuators are also used in automotive, transport, power grid, logistics, and manufacturing industries. They are deployed for analytics, diagnostics, monitoring, asset tracking, process control, regulatory control, supervisory control, safety control, etc. It is desirable to connect these sensors and actuators to 5G networks. 

The massive industrial wireless sensor network (IWSN) use cases and requirements described in TR 22.804, TS 22.104 and TS 22.261 do include not only cMTC services with very high requirements, but also relatively low-end services with the requirement of small device form factors, and/or being completely wireless with a battery life of several years. 

The most low-end services could already be met by NB-IoT and LTE-M but there are, excluding URLLC, more high-end services that would be challenging. In summary, many industrial sensor requirements fall in-between the well-defined performance objectives which have driven the design of eMBB, URLLC, and mMTC. Thus, many of the industrial sensors have connectivity requirements that are not yet best served by the existing 3GPP NR technology components. Some of the aforementioned requirements of IWSN use cases are also applicable to other wide-area use cases, such as wearables. For example, smart watches or heath-monitoring wearables require small device form factors and wireless operation with weeks, months, or years of battery life, while not requiring the most demanding latency or data rates. 

IWSN and wearable use cases therefore can motivate the introduction of an NR-based solution. Moreover, there are other reasons why it is motivated to introduce a native NR solution for this use case: 
  • It is desired to have a unified NR based solution.
  • An NR solution could provide better coexistence with NR URLLC, e.g., allowing TDD configurations with better URLLC performance than LTE.
  • An NR solution could provide more efficient coexistence with NR URLLC since the same numerology (e.g., SCS) can be adopted for the mMTC part and the URLLC part.
  • An NR solution addresses all IMT-2020 5G frequency bands, including higher bands and TDD bands (in FR1 and FR2).
The intention with this study item is to study a UE feature and parameter list with lower end capabilities, relative to Release 15 eMBB or URLLC NR, and identify the requirements which shall be fulfilled. E.g., requirements on UE battery life, latency, reliability, connection density, data rate, UE complexity and form factor, etc.  If not available, new potential NR features for meeting these requirements should further be studied.

There were other description of the SID from Samsung, ZTE, etc. but I am not detailing them here. The main idea is to provide an insight for people who may be curious about this feature.


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Friday 28 September 2018

Multi-technology :The future of IoT geolocation

In the big world of IoT, location tracking  is the  next  frontier!. Location tracking for humans is already an integral part of our lives especially for navigation. Traditional technologies enabling this are  not only expensive, they  have technical boundaries preventing scaling. For IoT geolocation to become a true reality, it is inevitable it has to be  extremely accurate, extremely low cost, and extremely low touch. 

Where is the market?


Research and Markets predict revenues from Geo IoT will reach $49 billion by 2021.

Just as location determination has become an essential element of personal communications, so shall presence detection and location-aware technologies be key to the long-term success of the Internet of Things (IoT). Geo IoT will positively impact many industry verticals. – Research and Market report about “Geo IoT Technologies, Services, and Applications Market Outlook: Positioning, Proximity, Location Data and Analytics 2016 – 2021.”

Connecting IoT objects is already a large market growing exponentially with the mix of unlicensed Low-Power Wide Area Network (LPWAN) technologies such as LoRaWAN, and combined more recent introduction of Cellular IoT technologies such as NB-IoT and LTE-M. Adding Geolocation to this introduces a whole range of new applications not possible before. Some of these applications are:
  1. Asset Management
  2. Fleet Management
  3. Anti-theft scooter/bike rental
  4. Logistics/parcel bags tracking
  5. Worker safety for Oil and Gas
  6. Elderly and Disabled care
  7. Tracking solution for skiers
  8. Pets and Animal tracking

The above applications represent large existing market which can be only be enabled with extremely low cost and low power trackers. This is the reason why LPWAN-enabled geolocation is in fact a separate product category for large existing market.

The challenges involved (Asset tracking as an example case study)


Railway cars, truck trailers, containers: tracking valuable assets on the move is a pain point for most large distributed organizations involved in logistics and supply chain, typically relying on partners such as distributors to correctly register check-in and check-out events. This registration process at specific checkpoints is usually manual, intermittent and subject to human errors.  To tackle this issue, an IoT low power asset tracking system using LPWAN (Low Power Wide Area Network) trackers brings a “timeless” checkpoint solution. Specifically, LoRaWAN™-based trackers, because of their low power, low cost and lightweight infrastructure, provide a first truly reliable tracking solution allowing to reduce downtime during transportation. 

In the logistics sector, many business cases involve additional costs due to inefficient utilization of assets. Transport companies need to invest in freight railway cars, car logistics companies need to invest in truck trailers, and of course there are the standard containers and pallets.

“The profitability of these business cases directly depends on the minimization of asset downtime: every day or hour lost in a warehouse, parking or rail station reduces the number of times the moving asset will generate profit in a year.”

However, measuring this downtime is also a challenge. Traditional solutions involved cellular or satellite trackers, which require significant CAPEX, but perhaps more importantly also ongoing OPEX due to battery replacements and connectivity costs. In some cases, trackers are located in hard to reach areas especially when mounted on railroad cars, or in oil and gas rigs, which makes it very costly to replace batteries especially if there are several hundreds of thousands of trackers deployed in the field. The battery replacement is done by humans and is one of the dominating OPEX factors in overall Total Cost of Ownership ( TCO) of the whole solution. These replacement costs actually made it difficult to justify the mass adoption of conventional geolocation solutions in the logistics sector.


LPWAN trackers: a game changer

LoRaWAN  is LPWAN connectivity standard developed by LoRa Alliance primarily for unlicensed ISM spectrum, to create disruption in both the technology and business models. On the technology front, the main impact is on drastic reduction of power consumption, which reduces battery usage and ultimately also OPEX related to ongoing maintenance. It also creates new opportunities for more dynamic tracking, as communication events are less costly. On the business model side, logistics companies can now trade off between CAPEX and OPEX: most LPWAN systems operate on an unlicensed band, for example the leading LoRaWAN™  technology operates in the 915MHz band in the US, the 868MHz band in Europe and equivalent ISM bands in other parts of the world. This means that logistics companies can invest in their own wireless networks to reduce or eliminate variable connectivity costs.

“The cost of LPWAN radio network gateways has decreased due to higher production volumes and are now affordable even to very small logistic centers, such as a car distributor. “

 Next generation LPWAN trackers


The potential of LPWAN-enabled tracking requires a new generation of hardware. The lower radio frequency power consumption is only a part of a massive effort to decrease overall power consumption of the whole system. This requires developing a multi-technology geolocation tracker platform that can combine GPS, Low-Power GPS, WiFi Sniffing, WiFi fingerprinting and Bluetooth with the goal of reducing power consumption and provide location information opportunistically in variety of scenarios such as (indoor/outdoor, urban/rural, slow/fast moving and so on). 

Another key factor is the usage of LPWAN technologies such as (LoRaWAN, NB-IoT, LTE-M) for transporting geolocation data back to the cloud. This is the key as traditional cellular technologies such as 2G/3G/4G are just too power hungry to meet the target goal of 5-10 year battery lifetime. However, there will be licensed Cellular IoT options based on NB-IoT/LTE-M that will be also be used for some of the applications.

IoT geolocation asset tracking, logistics, rolling stock tracking, containers tracking, trucks tracking, supply chain, internet of things, LoRa

LoRaWAN and Low Power GPS significantly increases battery lifetime

IoT geolocation asset tracking, logistics, rolling stock tracking, containers tracking, trucks tracking, supply chain, internet of things, LoRa

Merging an IoT network solution such as LoRaWAN with  multi-mode geolocation technologies for outdoor and indoor positioning increase by at least a factor of 10 the battery lifetime compared to the standard cellular solution using GSM/AGPS. Source: Actility

The Road Ahead:


The next frontier in IoT geolocation will be two fold. The first will be the multi-technology cloud platform that will combine intelligently Over-The-Top (OTT) geolocation technologies such as GPS, Low-Power GPS, WiFi and Bluetooth with network based TDoA geolocation technologies using LoRaWAN and/or Cellular. This requires close cooperation between public network operators with geolocation service providers.

Webinar: MULTI-TECHNOLOGY IOT GEOLOCATION
The future of IoT geolocation is multi-technology


In order to shed some light on the above mentioned points, we are hosting a webinar that explains where  we will explore the challenges of network-based geolocation and how it can be combined with other geolocation technologies such as GPS, WiFi and Bluetooth. We will explain how multi-technology geolocation differs from traditional cellular+GPS based geolocation, and show how it opens up an entirely new market and product category. We’ll also explore how multi-technology geolocation meets the requirements and use cases for connecting small sensors which are low-cost with very long battery lifetime. A guest speaker from KPN will share selected case studies demonstrating IoT geolocation deployments and discuss real-world experience. The webinar will conclude with outlook for technological evolution in the field, and give an overview of our Location portfolio.

What will you learn from this webinar?
  1. What are the market opportunities and use cases enabled by IoT Geolocation?
  2. What are the benefits of multi-technology geolocation?
  3. What are the benefits of using LPWAN technologies(LoRaWAN, NB-IoT, LTE-M) for connectivity?
  4. How LPWAN-enabled Geolocation will evolve in the future?
  5. How is Actility building multi-technology geolocation platform?

Follow the link below for registration to the webinar,

For any questions, contact the author below,