Genetic algorithm approach for solving radio resource allocation for overlapping MBSFN area

Abstract

Multicast Broadcast Single Frequency Network (MBSFN) is a new technique utilized in 3GPP LTE to deliver Multicast Broadcast Multimedia Service (MBMS) to users. In this paper, we proposed a novel method to allocate different radio resources in overlapping MBSFN area by using Genetic Algorithm (GA). The algorithm would be used to optimize the allocation of radio resource unit in the overlapped areas by finding the best solution to allocate different resources to base stations (eNBs) for delivering different services to different areas. The GA is able to limit the number of RRU to three for up to eight overlapping MBSFN areas. Simulation results show that the proposed method could contribute by providing a set of solution to every dynamically changed topology of MBSFN area.