User Location-Based Adaptive Resource Allocation for ICI Mitigation in MIMO-OFDMA

Abstract

The paper proposes a user location-based dynamic radio resource allocation in MIMO-OFDMA systems to mitigate Inter-Cell Interference (ICI) using evidence theory. In order to utilize the limited radio resources like subcarrier and its associated power efficiently, it is needed to develop a scheme. In cellular communication, for better utilization of resources, if the radio resources are repeatedly used in the neighboring cells, it leads to ICI. In order to address this issue, a two-step resource allocation technique is devised. In the first step, the evidence of the user in a cell is calculated in order to categorize the users as Cell Edge Users (CEU) and Cell Center Users (CCU) and in the second step, the dynamic allocation of radio resources is carried out. The criterion for resource allocation is the frequency of occurrence of a user evidence in a cell. It increases the datarate and efficiency of the system.