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Uplink radio resource allocation in AF and DF relay-assisted networks with limited rate feedback

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<mark>Journal publication date</mark>07/2015
<mark>Journal</mark>IEEE Transactions on Vehicular Technology
Issue number7
Volume64
Number of pages19
Pages (from-to)3056-3074
Publication statusPublished
Early online date5/12/13
Original languageEnglish

Abstract

In this paper, we develop quantized ergodic resource allocation in uplink OFDMA-based relay assisted networks in which both Amplify and Forward (AF) and Decode and Forward (DF) protocols are investigated. The main objective is to maximize the average sum rate subject to the power constraint at the users and relays. Using dual decomposition technique and block coordinate descent algorithm (BCDA), we then obtain near-optimal solution for the proposed problems. The proposed methods significantly decrease the required feedback information which reduce the overhead on the bandwidth as well as cost. Furthermore, we investigate the impact of noisy feedback channel on the system performance. Extensive simulation results also presented which indicate that DF outperform AF in various conditions. It is also observed that by increasing the number of quantization regions, the average sum rate approaches