A Strategic Genetic Algorithm for Resource Allocation in LTE Uplink Netwoks

Abstract

Long-term evolution (LTE), also known as 4G, is a rapidly growing global technology that continuously offers unprecedented data rates with higher capacity and new levels of user experience. The scheduling algorithm in LTE plays a vital role in determining the effectiveness of the system in terms of bandwidth efficiency and providing quality of service support to the users. In this paper we discuss about the complex optimization problem in resource allocation LTE uplink. We propose a new strategic genetic algorithm based approach as a solution to solve the problem. The proposed algorithm is evaluated in NS-3 simulator with a video sequence. Various LTE uplink resource allocation algorithms found in literature are discussed and their performance are evaluated and compared with our proposed algorithm. The results show that our proposed algorithm outperforms the existing algorithms in various scenarios.