Resolving Coverage and Interference conflicts in 5G

With 5G targeting to achieve faster connectivity speed, ultra low latency and a greater bandwidth, complexities associated with 5G have also increased. These complexities include network densification, use of variety of node types, separation of control plane and data plane, use of multiple frequency bands, frequency reuse and many other. This unification of technologies resulted in steep increase in capital expenditure (CAPEX) and operational expenditures (OPEX). Efforts are in place to reduce the OPEX by automating network functionalities such as configurations, optimization and healing. Self Organizing Networks (SON) are the one introduced to reduce OPEX. Usually SONs are defined to work for a specific objective. When theses SONS operate concurrently, they may result in parametric and/or objective based conflicts.Thus, there is a need to develop a framework which helps to develop end to end network behavior intelligence and make SONs to work in coordination with each other. In this paper, we propose a framework that resolves conflicts between two such SONs - Inter Cell Interference Coordination (ICIC) and Capacity and Coverage Optimization (CCO). Both these SONs depend upon the transmission power of Base Station (BS) and Evolved NodeB (eNB). Thus, aim is to determine optimal transmission power for eNBs that increase coverage and reduce interference. We following approach to determine optimal transmission power for eNBs that reduce conflicts between ICIC and CCO. 1) Through simulation, data set is built that is used for determining optimal transmission power for eNBs using machine learning algorithm 2) Using the data set prepared in Stepl, optimal transmission parameters for eNBs are estimated using machine learning model 3) In this phase, eNBs are powered with transmission power values estimated in Step2 and network behavior is observed for possible conflicts between two SONs. Thus, by estimating the transmission powers for eNBs using the past operational data, conflict of interests between two SONs is found to reduced significantly.