Review on Radio Resource Allocation Optimization in LTE/LTE-Advanced using Game Theory

Recently, there has been a growing trend toward ap-plying game theory (GT) to various engineering fields in order to solve optimization problems with different competing entities/con-tributors/players. Researches in the fourth generation (4G) wireless network field also exploited this advanced theory to overcome long term evolution (LTE) challenges such as resource allocation, which is one of the most important research topics. In fact, an efficient de-sign of resource allocation schemes is the key to higher performance. However, the standard does not specify the optimization approach to execute the radio resource management and therefore it was left open for studies. This paper presents a survey of the existing game theory based solution for 4G-LTE radio resource allocation problem and its optimization

A Pareto-optimal Approach for Resource Allocation on the LTE downlink

International audienceDue to wireless propagation condition, users in a cell experience different channel condition. Thus cell-center users have optimal condition whereas cell-edge users suffer from a severe path-loss and a low bit-rate. In this paper, a fair scheme to allocate Resource Blocks (RB) on the downlink in LTE networks is proposed. The problem addresses maximising the overall system throughput while ensuring the fair resource allocation among UEs (User Equipment). We use a new fairness criterion which is based upon the concept of the Nash Bargaining Solution (NBS) model.Our idea is to bring in a compensating factor to overcome the path-loss influence. The performance evaluation confirms that our method is able to spread resources fairly over the entire cell