Distributed Resource Allocation Algorithm Design for Multi-Cell Networks Based on Advanced Decomposition Theory

TL;DR

This paper introduces a distributed resource allocation algorithm for multi-cell OFDMA networks that maximizes user rates efficiently, achieving higher throughput with lower computational costs through advanced decomposition techniques.

Contribution

It presents a novel distributed algorithm based on a modified decomposition method for joint power and subcarrier optimization in multi-cell networks.

Findings

Substantial throughput gains over existing schemes.

Lower computational cost and fast convergence.

Effective for practical implementation in wireless networks.

Abstract

In this letter, we investigate the resource allocation for downlink multi-cell coordinated OFDMA wireless networks, in which power allocation and subcarrier scheduling are jointly optimized. Aiming at maximizing the weighted sum of the minimal user rates (WSMR) of coordinated cells under individual power constraints at each base station, an effective distributed resource allocation algorithm using a modified decomposition method is proposed, which is suitable by practical implementation due to its low complexity and fast convergence speed. Simulation results demonstrate that the proposed decentralized algorithm provides substantial throughput gains with lower computational cost compared to existing schemes.