Interference Aware Resource Allocation with QoS Guarantees in OFDMA/SC-FDMA

Níbia Bezerra,Francisco Lima,Tarcisio Maciel,Vicente Sousa Jr

doi:10.14209/jcis.2018.13

Abstract

Efficient Radio Resource Allocation (RRA) is of utmost importance for achieving maximum capacity in mobile networks. However, the performance assessment should take into account the main constraints of these networks. This letter presents important enhancements to RRA algorithms proposed in [1]. Prior work [1] ignores some important system constraints such as the impact of inter-cell interference and granularity of frequency allocation blocks. Here we show the performance degradation when these system constraints are assumed on the algorithms in [1] as well as propose some improvements on these algorithms in order to achieve better performance.

Highlights

I N [1], the authors formulate the Resource Allocation (RRA) problem of spectral efficiency maximization subject to user satisfaction constraints in a multi-service wireless system
The authors demonstrate the benefits of RAISES in a simple Long Term Evolution (LTE) single-cell modeling ignoring two important sources of performance degradation: inter-cell interference and Resource Block (RB) aggregation
We propose to evaluate the impact of resource allocation granularity on RAISES performance by means of the RB aggregation, which it is a practical limitation of LTE systems

Summary

INTRODUCTION

I N [1], the authors formulate the RRA problem of spectral efficiency maximization subject to user satisfaction constraints in a multi-service wireless system. The high computational complexity of the optimal solution is managed by proposing a fast suboptimal algorithm named Reallocation-based Assignment for Improved Spectral Efficiency and Satisfaction (RAISES). The authors demonstrate the benefits of RAISES in a simple Long Term Evolution (LTE) single-cell modeling ignoring two important sources of performance degradation: inter-cell interference and Resource Block (RB) aggregation. We show the performance degradation on the original algorithms in [1] when inter-cell interference and RB aggregation is assumed. To overcome this performance loss, we propose modifications in the original algorithms in [1] in order to become more robust against inter-cell interference

SYSTEM MODELING IMPROVEMENTS

CRM ALGORITHM IMPROVEMENTS

PERFORMANCE EVALUATION

Findings

CONCLUSION