Self-Evolving Networks (SEN): Next step of SON

In a post last year, I listed the 3GPP features planned for the Self-Organising networks. Self-optimisation has been a part of the SON. It is becoming more of a common practice to refer to SON as Self-Optimising networks. A recent 4G Americas whitepaper was titled "Benefits of self-optimizing networks in LTE".

The next phase in the evolution of the Self-Configuring, Self-organizing and Self-optimizing network are the Self-Evolving Networks (aka. SEN) that will combine the Organizing and Optimizing features with the Self-testing and Self-Healing features. Self-testing and Self-healing have been recommended as subtasks of SON in the NGMN white paper. Self-testing and self-healing means that a system detects itself problems and mitigates or solves them avoiding user impact and significantly reducing maintenance costs.

We may still be a long way away from achieving this SEN as there are quite a few items being still standardised in 3GPP. Some of the standardised items have not yet been fully implemented and tested as well. Some of this new features that will help are listed as follows:

Automatic Radio Network Configuration Data Preparation (Rel-9)

When radio Network Elements (e.g. cells and/or eNBs) are inserted into an operational radio network, some network configuration parameters cannot be set before-hand because they have interdependencies with the configuration of operational NEs. "Dynamic Radio Network Configuration Data Preparation" comprises the generation and distribution of such interdependent parameters to the newly inserted network element and optionally already operational NEs.

This functionality allows fully automatic establishment of an eNB into a network. Otherwise an operator needs to set these configurations manually. Without this functionality self-configuration cannot be considered not fully as "self".

SON Self-healing management (Rel-10)

The target of Self-Healing (SH) is to recover from or mitigate errors in the network with a minimum of manual intervention from the operator.

Self-healing functionality will monitor and analyse relevant data like fault management data, alarms, notifications, and self-test results etc. and will automatically trigger or perform corrective actions on the affected network element(s) when necessary. This will significantly reduce manual interventions and replace them with automatically triggered re-s, re-configurations, or software reloads/upgrades thereby helping to reduce operating expense.

LTE Self Optimizing Networks (SON) enhancements (Rel-10)

This WI continues work started in Rel-9. Some cases that were considered in the initial phases of SON development are listed in the TR 36.902. From this list, almost all use cases are already specified. Capacity and Coverage Optimization (CCO) was already nominally part of the Rel-9 WI, but could not be completed due to amount of work related to other use cases. Energy Savings are a very important topic, especially for operators, as solutions derived for this use case can significantly limit their expenses. According to TR 36.902 this solution should concern switching off cells or whole base stations. This may require additional standardised methods, once there is need identified for.

Basic functionality of Mobility Load Balancing (MLB) and Mobility Robustness Optimization (MRO), also listed in TR 36.902, were defined in Rel-9. However, successful roll-out of the LTE network requires analysing possible enhancements to the Rel-9 solutions for MLB and MRO. In particular, enhancements that address inter-RAT scenarios and inter-RAT information exchange must be considered. These enhancements should be addressed in Rel-10. There may also be other use cases for LTE for which SON functionality would bring optimizations. The upcoming LTE-A brings about also new challenges that can be addressed by SON. However, since not all features are clearly defined yet, it is difficult to work on SON algorithms for them. It is therefore proposed to assign lower priority to the features specific for LTE-A.

UTRAN Self-Organizing Networks (SON) management (Rel-11)

For LTE, SON (Self-Organizing Networks) concept and many features have been discussed and standardised.

The SON target is to maintain network quality and performance with minimum manual intervention from the operator. Introducing SON functions into the UTRAN legacy is also very important for operators to minimize OPEX.

Automatic Neighbour Relation (ANR) function, specified in the LTE context, automates the discovery of neighbour relations. ANR can help the operators to avoid the burden of manual neighbour cell relations management.

Self-optimization functionalities will monitor and analyze performance measurements, notifications, and self-test results and will automatically trigger re-configuration actions on the affected network node(s) when necessary.

This will significantly reduce manual interventions and replace them with automatically triggered re-optimizations or re-configurations thereby helping to reduce operating expenses.

Minimization of Drive Tests (MDT) for E-UTRAN and UTRAN is an important topic in 3GPP Rel-10.

With the help of standardized UTRAN MDT solutions, Capacity and Coverage Optimization (CCO) for UTRAN should also be considered in UTRAN SON activities.

Study on IMS Evolution (Rel-11)

IMS network service availability largely relies on the reliability of network entity. If some critical network elements (e.g. S-CSCF, HSS) go out of service, service availability will be severely impacted. Moreover network elements are not fully utilized because network load is not usually well distributed, e.g. some nodes are often overloaded due to sudden traffic explosion, while others are under loaded to some extent. Though there’re some element level approaches to solve these problems, such as the ongoing work in CT4, the system level solution should be studied, for example, the method to distribute load between network elements in different regions especially when some disaster happens, such as earthquake.

The network expansion requires a great deal of manual configurations, and the network maintenance and upgrade are usually time-consuming and also costly for operators. Introducing self-organization features will improve the network intelligence and reduce the efforts of manual configuration. For example, upon discovering the entry point of the network, new nodes can join the network and auto-configure themselves without manual intervention. And if any node fails, other nodes will take over the traffic through the failed node timely and automatically.

The above mentioned features are just few ways in which we will achieve a truly zero-operational 4G network.