Sum capacity maximization in distributed multicell MISO-OFDMA systems with reduced feedback links
Résumé
In this paper, we examine distributed resource allocation (RA) for sum capacity maximization in multi-input single-output (MISO)-Orthogonal Frequency-Division Multiple Access (OFDMA) multicell systems with reduced feedback links. We apply zero forcing (ZF) precoding to reduce interference among the users in the same cell and then propose iterative distributed power allocation algorithms for the users with high signal-to-interference-plus-noise ratio (SINR) to reduce the interference among BSs. In order to perform distributed RA for MISO-OFDMA multicell systems, the channel state information (CSI) of all required links are fed back to all base stations. However, the feedback load increases with the number of users, base stations, subcarriers and antennas. Therefore, we propose to a user selection algorithm at the receiver side to reduce the feedback load and to provide the users with high SINR at BSs. The performance results of the proposed algorithms are illustrated for multicell MISO-OFDMA systems in wireless channels.