Interference Mitigation Approach using Massive MIMO towards 5G networks

There is a drastic increase in the number of users who subscribe to the mobile broadband every year. On the other hand, 4G networks have reached the theoretical limits on the data rate and therefore it is not sufficient to accommodate the above increasing traffic. To overcome this problem, new Generation of mobile communication known as fifth generation (5G) comes into the picture. Large network capacity, ultra-low latency and heterogeneous device support are the important features in 5G Technology. Massive MIMO in 5G Technology is built on multi-tier architecture using several low power Base Stations (BSs) inside small cell. Simultaneous usage of the same spectrum causes interference which further reduces the system throughput and network capacity. Thus resource management is an integral part of 5G Heterogeneous Networks (HetNets) so that interference between several base stations and different devices can be minimized. Proposed scheme introduces feedback on the existing cell association and antenna allocation algorithms and also introduces the evolutionary game theory for interference mitigation in HetNets as Game theory can be efficiently modelled for a competitive and compatible environment. Impact of feedback and game theory into RATs on data rate experienced by users and revenue generated by base station from users respectively are observed. Feedback mechanism along with Game theory approach enables to make efficient and effective resource allocation decisions. This facilitates the existing Cell Association algorithms to maximize the data rate of users in different classes and the antenna allocation algorithm to maximize the total profit of the Base station. Both users and base stations are self-interested to maximize their own benefits in terms of data rate and revenue.