Efficient Resource Allocation with QoS Guarantee on LTE-A Downlink Network Systems

Abstract

Effective radio resource management is a fundamental component in all wireless communication systems. From the user and service providers point of view, the emerging LTE – A network is expected to deliver high performance sensitive applications like VOIP, videoconferencing, mobile video services, etc. These converged services have unique traffic-handling and QoS requirements. Radio spectrum and transport (backhaul) resources are limited, expensive and shared between many users and services like voice, video and data on a single IP based infrastructure. As many users are sharing the radio resource the QoS guarantee is a challenging issue in LTE-A broadband wireless network. This issue cannot be solved by over provisioning the network instead, RRM leads to determine the optimal use of wireless resources as per the wireless channel information and the QoS requirements of end user. In this paper we propose a resource allocation method called modified PRA scheme. The resource allocation is done based on priority and the priority values are determined by Fuzzy inference system in mPRA. The mPRA scheme effectively computes the QoS requirements such as transmission rate, jitter and end-to-end delay for both video and voice applications. The effectiveness of the proposed mPRA scheme in terms of QoS requirements can be observed via simulation results.