LTE KPI's (Key Performance Indicators)

Key Performance Indicators of KPI's are indicators for if a device or equipment meets a certain reliability criteria for being ready for deployment.

In [1] the following KPI's are defined

• Accessibility
• Retainability
• Integrity
• Availability
• Mobility

[2] gives the requirements related to the above KPI's. Take for instance Accessibility, [2] defines the requirements as follows:

Business level requirements: If an end user cannot access a service it is hard to charge for the service. Also, if it happens often that an end-user cannot access the provided service, the end-user might change wireless subscription provider, i.e. loss of income for the network operator. Hence, to have a good accessibility of the services is important from a business point of view. This measurement assists the network operator with information about the accessibility provided to their customers.

Specification level requirements: The accessibility of an end-user application covers a wider area than just the E-UTRAN part. Hence it is important to realize that a KPI for this in E-UTRAN shall be limited to the parts that E-UTRAN has control of, i.e. the E-UTRAN KPI shall be defined so that it indicates the E-UTRAN contribution to the end-user impact, NOT attempt to take responsibility of the whole end-to-end part of service accessibility.

The service provided by E-UTRAN for this KPI shall be E-RAB. It shall be possible to measure the accessibility of E-RABs in E-UTRAN. Accessibility measurement should be available as a success rate for the attempts. 

As for defining an attempt, it shall be considered an attempt first when the eNodeB can be certain that is a request for an E-RAB. As for defining a success, it shall be considered a success when the eNodeB have completed its task to setup resources and the result of the E-RAB establishment can be informed to the requester of the E-RAB. The KPI shall be available per QoS group.

Use case description: In providing end-user services to wireless end-users, the first step is to get access to the wireless service. First after access to the service has been performed, the service can be used. If an accessibility measurement is not considered OK, then the network operator can investigate which steps that are required to improve the accessibility towards their customers. This measurement should be used for observing the impact of E-UTRAN on end-users service accessibility.

From the above, we can create certain tests to test the Accessibility KPI. Example cases as follows:

1. RRC Connection Setup for Registration success rates

2. RRC Connection Setup for Services success rates

3. Initial E-RAB Setup Success rates

4. Successive E-RAB Setup Success rates

5. Call (VoIP) setup success rates

[1] 3GPP TS 32.450: Key Performance Indicators (KPI) for Evolved Universal Terrestrial Radio Access Network (E-UTRAN): Definitions

[2] 3GPP TS 32.451: Key Performance Indicators (KPI) for Evolved Universal Terrestrial Radio Access Network (E-UTRAN); Requirements

More example of KPI's is available from this document:

Summary of QoS Requirements from Zahid Ghadialy

Samsung's Transparent Smart Window

These are a bit old but I just saw them and love the idea.

Tech Laws we should all know about - #TechLaws

In many different events and conferences, these laws get quoted so I decided to collect them all in a place.

Moore's law: The law is named after Intel co-founder Gordon E. Moore, who described the trend in his 1965 paper.

Moore's law is the observation that over the history of computing hardware, the number of transistors on integrated circuits doubles approximately every two years. The period often quoted as "18 months" is due to Intel executive David House, who predicted that period for a doubling in chip performance (being a combination of the effect of more transistors and their being faster).

Gordon Moore himself predicts that Moore's Law, as applied to integrated circuits, will no longer be applicable after about 2020 - when IC geometry will be about one atom thick. However, recent technology announcements about 3-D silicon, single-atom and spin transistors gives another twenty years of conventional doublings before the electronics limit is reached. Inevitably, other technologies, such as biochips and nanotechnology will come to the forefront to move the equivalent of Moore's Law inexorably forward.

See Also: Transistor Wars: Rival architectures face off in a bid to keep Moore's Law alive


Koomey's Law:  The number of computations per joule of energy dissipated has been doubling approximately every 1.57 years. This trend has been remarkably stable since the 1950s (R2 of over 98%) and has actually been somewhat faster than Moore’s law. Jonathan Koomey articulated the trend as follows: “at a fixed computing load, the amount of battery you need will fall by a factor of two every year and a half.”

See Also: See Also: A New and Improved Moore's Law


Metcalfe's law: Attributed to Robert Metcalfe, originator of Ethernet and founder of 3COM: the value of a network is proportional to the square of the number of nodes; so, as a network grows, the value of being connected to it grows exponentially, while the cost per user remains the same or even reduces.

Within the context of social networks, many, including Metcalfe himself, have proposed modified models using (n × log n) proportionality rather than n2 proportionality.

See Also: Wikipedia


Gilder's Law: proposed by George Gilder, prolific author and prophet of the new technology age - the total bandwidth of communication systems triples every twelve months (some refer to the period as eighteen months). New developments seem to confirm that bandwidth availability will continue to expand at a rate that supports Gilder's Law.

See Also: Technology Needs for 40G–100G Network-Centric Operations & Warfare


Nielsen's Law: Network connection speeds for high-end home users would increase 50% per year, or double every 21 months. As a corollary, he noted that, since this growth rate is slower than that predicted by Moore's Law of processor power, user experience would remain bandwidth-bound.


Cooper's Law:

Cooper has found that the ability to transmit different radio communications at one time and in the same place has grown with the same pace since Guglielmo Marconi's first transmissions in 1895. The number of such communications being theoretically possible has doubled every 30 months, from then, for 104 years. This fact has been dubbed Cooper's Law.

See Also: ArrayComm: Cooper’s Law


Edholm's Law of Bandwidth: Edholm sets out three categories of communications – wired, wireless and nomadic. Nomadic is a form of wireless where the communicator is stationary during the period of communications. According to Edholm’s Law, data rates for these three telecommunications categories increase on similar exponential curves, the slower rates trailing the faster ones by a predictable time lag.

The chart above shows data rates plotted logarithmically against time. When drawn like this, it is possible to fit straight lines to each of the categories. The lines are almost parallel, although nomadic and wireless technologies gradually converge at around 2030. For example, in 2000 2G delivered around 10kbits/s, W-LANs connected to dial up delivered 56kbits/s, and the typical office local area network (LAN) provided 10Mbits/s. Today, 3G delivers 100kbits/s, a home wireless LAN with DSL or cable broadband access is about 1Mb/s and typical office LAN data rates are 100 Mbits/s. Edholm’s Law predicts that in 2010 3G wireless will deliver 1 Mbits/s, Wi-Fi connected via a faster backhaul 10 Mbits/s, and office networks 1Gbit/s.

Edholm’s Law overlaps with Guilder’s on the fixed bandwidth side and to some degree with Cooper’s on the wireless side. But perhaps key is its prediction that wired and wireless will maintain a near-constant differential in data rate terms.


Shannon's law (Shannon–Hartley theorem): In information theory, the Shannon–Hartley theorem tells the maximum rate at which information can be transmitted over a communications channel of a specified bandwidth in the presence of noise. 

Considering all possible multi-level and multi-phase encoding techniques, the Shannon–Hartley theorem states the channel capacity C, meaning the theoretical tightest upper bound on the information rate (excluding error correcting codes) of clean (or arbitrarily low bit error rate) data that can be sent with a given average signal power S through an analog communication channel subject to additive white Gaussian noise of power N, is:



where
C is the channel capacity in bits per second;
B is the bandwidth of the channel in hertz (passband bandwidth in case of a modulated signal);
S is the average received signal power over the bandwidth (in case of a modulated signal, often denoted C, i.e. modulated carrier), measured in watts (or volts squared);
N is the average noise or interference power over the bandwidth, measured in watts (or volts squared); and
S/N is the signal-to-noise ratio (SNR) or the carrier-to-noise ratio (CNR) of the communication signal to the Gaussian noise interference expressed as a linear power ratio (not as logarithmic decibels).


Finally,

Murphy's Law: Anything that can possibly go wrong, does


Further reading:

• Twenty-two power laws of the emerging social economy
• Ten Laws Of The Modern World
• Wireless Communications to 2020 and Beyond - William Webb
• Wright's Law Edges Out Moore's Law in Predicting Technology Development - IEEE Spectrum
• Laying down the law - Professor William Webb, IEE Communications Engineer, February/March 2006

Please feel free to add any others you may know of in the comments and if they are popular I will add them in the blog post.

The Scent Phone

When I spoke about the 'next killer device', I showed this picture below and mentioned that smell is an area that has a lot of potential but difficult to exploit.  

In the Future of Wireless conference, one of the talks that many people were keen to listen about was about this 'scent phone'. Presentation embedded below:

Scent Phone from Zahid Ghadialy

I have also blogged about the same topic before that can be seen here.

If you are interested in these topics, see also:

• The Next ‘Killer Device’
• Future Mobile devices: Winners & Losers in technology

Heterogeneous Networks 3G and 4G / LTE-A

There is an excellent presentation and video on Hetnets by Qualcomm that is embedded below:

Heterogeneous Networks 3G and 4G from Zahid Ghadialy

Futuristic Video: 'Sight'

What happens when Google Glasses can get embedded in a lens placed in our eye. A bit like an advanced version of the Intelligent Contact Lens in Mission Imposssible Ghost Protocol movie. Maybe then the Augmented Future video is easily possible. Anyway, here is a new video which is someone's graduation project:




If interested, there are more videos that you can see using the tag 'Future Technologies'

PCC developments to take advantage of LTE capabilities

Another interesting presentation from the LTE World Summit 2012. The part that I find most interesting is slide 10 onwards that talks about Evolution of the PCC to include user Engagement. There is also a scope for 'Sponsored Data Connectivity'.

LTE World Summit 2012 Day 1 T3 Oisin O'Connor OPENET from ceobroadband

LTE-Direct (rebranded Flashlinq) by Qualcomm

I blogged about Flashlinq before and also about the Proximity based Services (ProSe) and AllJoyn which probably is part of Release-12. Qualcomm is now proposing LTE-Direct that looks like a rebranded Flashlinq here. A video of that is embedded here.

View More Qualcomm Videos

From PCWorld:

Qualcomm is promoting a peer-to-peer cellular technology as a potential new standard called LTE Direct, which it says would make location-based services faster and more efficient.

The proposal grew out of FlashLinq, a system Qualcomm developed in its own labs. FlashLinq lets two cellular devices communicate over the air without relying on a fixed network infrastructure. Qualcomm sees two main applications for the technology: public safety communications in areas where mobile networks are down or unavailable, and a "discovery mode" that provides information about what interesting things and people are nearby. Qualcomm is primarily interested in the discovery mode, which it says has more commercial potential.

LTE Direct eliminates steps in the location process, allowing users to find things more quickly, Qualcomm says. Though the technology can be used for ongoing communication at high speeds, including streaming video, in discovery mode it would only broadcast tiny 128-bit packages of data. Those packages, called "expressions," would contain basic information about the device or user. Each LTE Direct device would look for expressions nearby, choosing among them using filters customized for the user or for specific applications.

"What you do is, every so often, you broadcast this 128 bits of information, which are expressing your desire ... so devices and services around you can listen to (your expressions) and figure out what you're interested in," said Mahesh Makhijani, senior director of technical marketing at Qualcomm.

Mobile consumers as well as businesses could send and receive expressions. If an application detects an expression that's relevant to what it does, that application can then go into action, providing something to the user. For example, if two friends have devices that are sending out expressions, then a social-networking app that both of them use might pop up notifications for each saying the other friend is nearby. A classic example of an application that might take advantage of discovery mode is the location check-in app Foursquare, Makhijani said.

Decentralized process

Current location-based services rely on a central database of location data. Every party's location, determined by GPS or other methods, has to be collected in that database and then sent out to other interested parties who request it, Makhijani said. LTE Direct finds nearby devices directly over the air.

Finding a match between one user and other people or services nearby is also quicker, because "service layer" information is contained in the 128-bit expression, Makhijani said. That service layer information determines whether something is of interest to you, such as whether someone uses Facebook and is a friend, or whether your favorite store nearby is offering a deal. To determine these things with LTE Direct, it's not necessary to query a central server over the Internet or even to establish a dedicated connection with the nearby device, he said.

LTE Direct isn't intended to provide exact location or replace GPS for finding out exactly where you are, but it could complement existing location systems and speed up the process of finding out where you are, Makhijani said. Its benefits include the speed of proximity-based location as well as its ability to work indoors, where GPS often has trouble getting a fix because it relies on satellites, he said.

Twitter et al. for Small Cell Planning

A recent report in Light Reading mentioned about using Twitter for planning of Small Cells network. In fact for quite a while, a UK based company, Keima has been using this technique to help plan small cells deployments in the US. I used some of their research in my presentation in the Optimisation conference; see here.

A map using the Keima tool showing the activity on the Social Networks for London is as follows.

It would be very interesting to see the above during olympics.

If you are interested in learning more about the tool see Keima's presentation from MWC here and their video here.

Keima’s Simon Chapman will be presenting to the Cambridge Wireless Small Cells SIG event on 3rd October on the topic "Deploying bigger numbers of smaller cells". Here is a summary of things going to be discussed by them:

Small Cell Planning from 3G4G

We discuss how "small cells" are a natural evolution of network design principles started with A.H. Ring in 1947. We discuss the practical consequences of managing interference while rolling out more cells in the next few years than all the previous deployments put together.

We consider processes for achieving cost-effective, spectrally efficient network capacity and establish the most influential: the location of small cells. Given the importance of location we demonstrate mechanisms for identifying demand hotspots using publicly available datasets and show that this knowledge alone has a significant impact on the eventual network capacity.

Finally, as we look at the immediate areas in and around demand hotspots, we discuss the associated issues of selecting thousands of utility poles or building-side mountings; of managing wired or wireless backhauling; of lowering latency; of repurposing the macro

To register for the event please click here.

Seamless offloading between Cellular Network and WLAN (CNW)

Last month I wrote a post about the 'Virtual Femtocell' concept. Apparently there is a company already doing this. The following is from GigaOm:

SR-Mobile, a Korean company that also has offices in Plano, Texas, is looking to help cellular carriers make seamless handoffs with Wi-Fi networks, enabling them to easily offload traffic from their cellular networks. The company, which is demonstrating its technology later this month at the Mobile Asia Expo, allows a carrier to switch a call or data traffic seamlessly between Wi-Fi, 3G and 4G. It does this with the help of a virtual radio agent mobile application on a mobile device that automatically switches between cellular and Wi-Fi modems. The VRA app works with a smart radio mobile controller that can access the network server and transfers the network traffic to the network core.


The benefit of this approach is that it allows a Wi-Fi hotspot to act as a virtual base station, which can be easily added and managed by an operator. If there’s capacity on the Wi-Fi network, it can seamlessly handle calls and data but if it gets overcrowded, it can switch back to the cellular network. SR’s approach also means that a carrier can expand their network capacity without a lot of investment, by relying on their existing Wi-Fi network or their user’s private Wi-Fi network. SR, which was founded by James Lee, a former senior staffer at Samsung Telecom America, is working on a trial with Korean operator KT, which will test SR’s technology on select LG phones.

More details about their solution in their presentation below:

Seamless offloading between Cellular Network and WLAN (CNW) from Zahid Ghadialy