Benefits Of Self-Organising Networks

I have blogged about SON's on different occasions. Recently I came across SOCRATES project that aims at the development of self-organisation methods to enhance the operations of wireless access networks, by integrating network planning, configuration and optimisation into a single, mostly automated process requiring minimal manual intervention.

Future communication networks will exhibit a significant degree of self-organisation. The principal objective of introducing self-organisation, comprising self-optimisation, self-configuration and self-healing, is to effectuate substantial operational expenditure (OPEX) reductions by diminishing human involvement in network operational tasks, while optimising network efficiency and service quality.

Regarding the technological scope, SOCRATES primarily concentrates on wireless access networks, as the wireless segment generally forms the bottleneck in end-to-end communications, both in terms of operational complexity and network costs. As a consequence, the largest gains from self-organisation can be anticipated here. We select the 3GPP LTE (3rd Generation Partnership Project, Long Term Evolution) radio interface as the central radio technology in our studies. The reason for this choice is that 3GPP LTE is the natural, highly promising and widely supported evolution of the world’s most popular cellular networking technologies (GSM/EDGE, UMTS/HSPA).

The SOCRATES project is supported by the European Union under the 7th Framework Program, and will run from January 1, 2008 until December 31, 2010.

Benefits Of Self-Organising Networks

View more presentations from Zahid Ghadialy.

You can view and download all the presentations from the SOCRATES Project here.

Self Organizing Networks and Enhancements

I have blogged about SON earlier here and here. The following is an update from the 3G Americas Whitepaper on Mobile Broadband:

SON concepts are included in the LTE (E-UTRAN) standards starting from the first release of the technology (Rel-8) and expand in scope with subsequent releases. A key goal of 3GPP standardization is the support of SON features in multi-vendor network environments. 3GPP has defined a set of LTE SON use cases and associated SON functions. The standardized SON features effectively track the expected LTE network evolution stages as a function of time. With the first commercial networks expected to launch in 2010, the initial focus of Rel-8 has been functionality associated with initial equipment installation and integration.

The scope of the first release of SON (Rel-8) includes the following 3GPP functions, covering different aspects of the eNodeB self-configuration use case:

• Automatic Inventory

• Automatic Software Download

• Automatic Neighbor Relations

• Automatic PCI Assignment

The next release of SON, as standardized in Rel-9, will provide SON functionality addressing more maturing networks. It includes the following additional use cases:

• Coverage & Capacity Optimization

• Mobility optimization

• RACH optimization

• Load balancing optimization

Other SON-related aspects that are being discussed in the framework of Rel-9 include improvement on the telecom management system to increase energy savings, a new OAM interface to control home eNodeBs, UE reporting functionality to minimize the amount of drive tests, studies on self testing and self-healing functions and minimization of drive testing. It should be clarified that SON-related functionality will continue to expand through the subsequent releases of the LTE standard.

The SON specifications have been built over the existing 3GPP network management architecture, reusing much functionality that existed prior to Rel-8. These management interfaces are being defined in a generic manner to leave room for innovation on different vendor implementations. More information on the SON capabilities in 3GPP can be found in 3G Americas’ December 2009 white paper, The Benefits of SON in LTE.

SON technologies have been introduced in Rel-8/Rel-9 to help decrease the CAPEX and OPEX of the system. LTE-Advanced further enhances the SON with the following features:

• Coverage and Capacity Optimization. Coverage and Capacity Optimization techniques are currently under study in 3GPP and will provide continuous coverage and optimal capacity of the network. The performance of the network can be obtained via key measurement data and adjustments can then be made to improve the network performance. For instance, call drop rates will give an initial indication of the areas within the network that have insufficient coverage and traffic counters can be used to identify capacity problems. Based on these measurements, the network can optimize the performance by trading off capacity and coverage.
• Mobility Robustness Optimization. Mobility Robustness Optimization aims at reducing the number of hand over related radio link failures by optimally setting the hand over parameters. A secondary objective is to avoid the ping-pong effect or prolonged connection to a non-optimal cell.
• Mobility Load Balancing. Related to Mobility Robustness is Mobility Load Balancing, which aims to optimize the cell reselection and handover parameters to deal with unequal traffic loads. The goal of the study is to achieve this while minimizing the number of handovers and redirections needed to achieve the load balancing.
• RACH Optimization. To improve the access to the system, RACH Optimization has been proposed to optimize the system parameters based upon monitoring the network conditions, such as RACH load and the uplink interference. The goal is to minimize the access delays for all the UEs in the system and the RACH load.

In addition to the enhanced SON technologies described above, minimization of manual drive testing functionality is also currently under examination in 3GPP to enhance and minimize the effort for optimization of the LTE-Advance network. The main goal is to automate the collection of UE measurement data. In so doing, it will minimize the need for operators to rely on manual drive tests to optimize the network. In general, a UE that is experiencing issues, such as lack of coverage, traffic that is unevenly distributed or low user throughput, will automatically feed back measurement data to the network which may be used by the network as a foundation for network optimization.

SON related 3GPP references can be found on Martin Sauter's blog here.

3G Americas Publishes New Report on LTE SON Self-Optimizing / Self-Organizing Networks

I have blogged about SON networks before. Now has published an educational report titled, The Benefits of SON in LTE, to increase understanding of the improvements in network management that have been developed through 3GPP standards – Release 8, Release 9 and beyond.

Self-Optimizing and Self-Organizing Networks, called SON, can significantly improve network management performance, helping operators and their customers. The 3GPP standards organization is standardizing self-optimizing and self-organizing capabilities for LTE. LTE SON will leverage network intelligence, automation and network management features in order to automate the configuration and optimization of wireless networks, thereby increasing efficiency as well as improving network performance and flexibility.

“The time is right for SON as wireless carriers’ networks have increasing mobile broadband demand and a high level of complexity,” said Chris Pearson, President of 3G Americas. “The good news is that smartphones, netbooks and emerging classes of mobile devices are driving significant growth of wireless data usage. However, operators will need to continue to significantly improve network management capabilities to efficiently meet the demands of this new mobile broadband world.”

The Benefits of SON in LTE describes the motivation behind SON and provides an overview of key SON features contained in Releases 8 and 9 that will serve as a solution for network operators. Motivations for operators to deploy SON include:

• Wireless service providers must now support a growing number of higher-bandwidth data applications and services on their networks
• Operators must drive down the delivery cost per bit
• Radio access network complexity will increase through additions of small cells such as femtocells, picocells as well as WiFi access points to increase and improve coverage and capacity

These and other trends portend ever-increasing demands upon service providers in the areas of network performance and operations.

Initial solutions are offered in the 3GPP Release 8 specifications, which were completed in March 2009, and include SON features such as automatic inventory, software download, neighbor relations and PCI assignment that would be built over 3GPP network management architecture. LTE SON features begin with 3GPP Release 8 and evolve with the expected LTE network evolution stages. In 3GPP Release 9, other SON features are addressed, such as the optimization of coverage and capacity, mobility, RACH, load balancing and support of SON features in multi-vendor network environments.

Other organizations such as the Next Generation Mobile Networks (NGMN) have contributed significantly to the development and standardization of SON at 3GPP.

“Self-optimizing networks are a key part in the future-proofing of network reliability and operational efficiency,” said Dr. Peter Meissner, Operating Officer of the NGMN Alliance. “NGMN established a set of initial requirements and since then has worked with its partners to define the remaining requirements and to drive forward the early adoption in the standardization.”

You can find this whitepaper and many other whitepapers on LTE at the 3G4G Library here.

OFDMA Femtocells: A Roadmap on Interference Avoidance

Earlier, I have blogged about LTE femtocells being starting point of LTE and how LTE can be better technology than HSPA. In this months IEEE Communications magazine, there is a series of articles on Femtocells. I will try and cover some of these (unless I wander off in some other direction). The first one is titled 'OFDMA Femtocells: A Roadmap on Interference Avoidance'. At the end of this post, I have provided links to the research and the actual paper (in a legal way ;) so if you are not interested in the post and want to directly jump on the actual paper see the end of this post.

There are all kinds of statistics about the number of Femtocells worldwide. There could be upto 70million by 2012. If this happens the big problem would be the interference between Macro and Femtocells and also between Femtos. OFDMA (used in LTE and WiMAX both) Femtocells can handle the interference better than CDMA (UMTS and CDMA2000) Femtocells due to its Intracell interference avoiding properties and robustness to multipath.

So what are the main problems that the operators will face when deploying femtocells? Lets look at some of them:

• Access method: Three different approaches exist namely, Open access, Closed access and Hybrid access which is a mix of both of them. The first two approach has some problems and I have suggested a solution before ;) but the best solution may be to go for Hybrid approach where limited connectivity is available to non-subscribers of the femto.
• Time Synchronisation is another important aspect of OFDMA Femtos. To minimise multi-access interference and for successful handovers, synchronisation between all the Femtos and between Femto and Macro is a must. This should be acheived without any complicated hardware so as to keep the cost down.
• Physical Cell Idendities (PCI) could be a problem because of limited numbers
• Neighbouring cell list, which is restricted to 32 in LTE, could be a problem if too many Femtos are around
• Handovers could also be a problem if the UE keeps jumping between Femtos and macro. One solution could be the use of HCS.

Interference analysis will definitelty play an important part in the rollouts. If not properly managed, could result in dead zones within Macro. Power control Algorithms and Radio Resource Management strategy will help but effective Spectrum allocation technique is needed as well. The diagram above shows different approaches for subchannel allocation in OFDMA femtocells.


The Femtocells would need to be self-configurable and self-optimising. I tried to explain the SON concept earlier which is similar. Self-configuration comes into picture when the Femto is switched on. Once the parameters are adjusted then Self-Optimisation tries to optimise these defaults into something better and more suited to the current environment. Sensing of the environment plays an important part in this. The diagram above shows different approaches being used by different Femtocells. The cheapest approach would ofcourse be the measurement report approach where the phone is made to report the environment. The only problem being that whichever phone was used (automatically selected) will have considerable amount of its battery power used up :)

The team behind this IEEE paper has been doing some excellent research work in the field of femtocells.

There is a book that is under publication and will be available early next year. At the same time if it interests you, you can look at some of their publications including the IEEE one that has been quoted here. Here are all the necessary links:

• The Centre for Wireless Network Design
• Professor Jie Zhang homepage
• David López-Pérez, Research Fellow, homepage
• Femtocells World Summit presentation on Self-organisation of the Subchannel Assignment in OFDMA Femtocells
• OFDMA Femtocells: A Roadmap on Interference Avoidance - IEEE Communications magazine, Sep. 2009
• ICC 2009: Femtocells panel presentation slides

Hope someone finds all this info useful :)

On Self Organising Network Concept in Rel-8 and Rel-9

Self-Organising Networks popularly known as SON are feature of 3GPP Release 8 and Release 9. SON has been around for quite some time now and is not a new concept. Its not an evolutionary technology, rather a revolutionary technology. The first time I heard of SON was in relation to Femtocells. Remember, a Femtocell has to start in an unfamiliar environment, learn about its surrounding and then adapt to the environment.

Other terms often used to mean SON is 'Plug-n-play' or 'PnP', 'Zero Touch', 'Auto Configured', 'Self Managed...', etc. SON is a very useful feature that will allow for the automation of several tasks lowering the OPEX costs. Examples include plug and play or a cell in between existing ones, neighbour recognition and (re-)configuration, optimizations, etc. Properly implemented, it could kill off drive-testing.

In simplest of terms, SON can be explained with the basic diagram above. A new cell created in an existing environment possibly due to too many existing resources being in use or too many users in an area during a particular time (football match for example) and this cell has to look at the surrounding and adjust its conditions. The other existing cells also have to adjust tehmselves with the change in surroundings.

According to recent analysis in NEC Whitepaper on SON (available here), about 17 % of wireless operator’s CAPEX is spent on engineering and installation services. SON’s self-configuring functions are expected to eliminate many on-site operations for the basic settings and subsequent updating of network equipments, and thus reduce CAPEX.

It is also known that about 24 % of a typical wireless operator’s revenue goes to network OPEX, which are the cost of network operation and maintenance, training and support, power, transmission, and site rental. SON’s self-optimizing functions will reduce a workload for site survey and analysis of network performances, and thus reduce OPEX. Moreover, SON’s energy-saving functions reduce the costs of power consumed by the equipment.

Self-optimizing and self-healing architectures improve user perceived qualities by mitigating quality degradations that result from inaccuracies of the planning or equipment faults as early as possible and by optimizing the network parameters under interference and overload conditions.

Nomor research has got an excellent paper on SON with regards to LTE. The full paper is available here. Here is an extract from that paper.

The main functionality of SON includes: self-configuration, self-optimization and self-healing.

Self-configuration process is defined as the process where newly deployed nodes (eNBs) are configured by automatic installation procedures to get the necessary basic configuration for system operation

Self-optimization process is defined as the process where UE & eNB measurements and performance measurements are used to autotune the network

Self-healing function aims at automatic detection and localization of most of the failures and applies self-healing mechanisms to solve several failure classes, such as reducing the output power in case of temperature failure or automatic fallback to previous software version.

A Self-configuration Subsystem will be created in OAM to be responsible for the selfconfiguration of eNB. For self-optimisation functions, they can be located in OAM or eNB or both of them. So according to the location of optimisation algorithms, SON can be divided into three classes: Centralised SON, Distributed SON and Hybrid SON.

The paper also lists the Use cases and the problems ands solutions for the use cases.

NEC whitepaper on SON is quite recent and it lists the recent standards status:

3GPP has introduced SON items in its standardization path as required features for LTE deployments. Rel. 8 includes the first specifications on requirements, integration with operators’ processes, and identification of main use cases. Rel. 9 is expected to define advanced features, which will introduce self-healing and self-optimization capabilities into LTE. The SON related specifications are driven from the SA5 Working Group (WG) – mainly for architectural aspects– and the RAN3 WG – especially for the optimization of radio functions. Also, Rel. 8 defined the grounding documents for SON: “SON Concepts and Requirements” in TS 32.500, and two main use cases– “Self-Establishment of eNodeB” and “Automatic Neighbor Relation” – in TS 32.501, 32.502 and 32.511.