Practical Resource Allocation Algorithms for QoS in OFDMA-based Wireless Systems

TL;DR

This paper introduces an efficient resource allocation algorithm for OFDMA wireless systems that ensures fairness and QoS for heterogeneous traffic, improving performance over existing benchmarks.

Contribution

It presents a novel algorithm that allocates resources considering QoS, buffer status, and channel conditions, with a new scheme for rate requirement determination for delay-sensitive sessions.

Findings

Significant performance improvement over benchmark algorithms

Effective support for heterogeneous traffic with QoS guarantees

Enhanced fairness and rate guarantees for real-time users

Abstract

In this work we propose an efficient resource allocation algorithm for OFDMA based wireless systems supporting heterogeneous traffic. The proposed algorithm provides proportionally fairness to data users and short term rate guarantees to real-time users. Based on the QoS requirements, buffer occupancy and channel conditions, we propose a scheme for rate requirement determination for delay constrained sessions. Then we formulate and solve the proportional fair rate allocation problem subject to those rate requirements and power/bandwidth constraints. Simulations results show that the proposed algorithm provides significant improvement with respect to the benchmark algorithm.