Dynamic resource allocation for the downlink of multi-cell systems with full spectral reuse

Zhong, Chongxian; Li, Chunguo; Yang, Liu; He, Zhenya

doi:10.1109/icnnsp.2008.4590334

Cited by 5 publications

(1 citation statement)

References 9 publications

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“…Specifically, the algorithm adopts dualitybased methods to optimize the power allocation. In [4], a semidistributed dynamic RA has been presented to suppress ICI, which requires a central unit to perform power allocation.…”

Section: Introductionmentioning

confidence: 99%

Sum capacity maximization in distributed multicell MISO-OFDMA systems with reduced feedback links

Özbek

Ruyet

Pischella

2014

2014 11th International Symposium on Wireless Communications Systems (ISWCS)

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Abstract-In this paper, we examine distributed and fair resource allocation for weighted sum multicell capacity maximization in multi-input single-output (MISO)-Orthogonal FrequencyDivision Multiple Access (OFDMA) multicell systems with reduced feedback links. We apply zero forcing (ZF) precoding to reduce interference between the users in the same cell and then propose iterative distributed power allocation algorithm for the users with high signal-to-interference-plus-noise ratio (SINR) to reduce the interference between 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 a user selection algorithm at the receiver side to reduce the feedback load while providing CSI of the users with high SINR at the BSs. The performance results of the proposed algorithms are illustrated for multicell MISO-OFDMA systems in wireless channels.

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Section: Introductionmentioning

confidence: 99%