Scheduling Algorithm with Power Allocation for Random Unitary Beamforming
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概要
- 論文の詳細を見る
Random unitary beamforming is one of the schemes that can reduce the amount of feedback information in multiuser diversity techniques with multiple-antenna downlink transmission. In Multiple-Input Multiple-Output (MIMO) systems, throughput performance is greatly improved using AMC (Adaptive Modulation and Coding). Throughput performance is also improved by allocating power among streams appropriately. In random unitary beamforming, the transmitter has only partial channel state information (CSI) of each receiver. Thus, it is difficult for random unitary beamforming to use conventional power allocation methods that assumes that all receivers has full CSI. In this paper, we propose a new scheduling algorithm with power allocation for downlink random unitary beamforming that improves throughput performance without full CSI. We provide numerical results of the proposed scheduling algorithm and compare them to those of the conventional random unitary beamforming scheduling algorithm. We show that random unitary beamforming achieves the best system throughput performance with two transmit antennas. We also show that the proposed algorithm attains higher throughput with the small increase of feedback than the random unitary beamforming scheduling algorithm.
- (社)電子情報通信学会の論文
- 2008-01-01
著者
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OHTSUKI Tomoaki
Department of Information and Computor Science, Keio University
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KANEKO Toshinobu
Department of Electrical Engineering, Faculty of Science and Technology
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Ohtsuki Tomoaki
Department Of Computer And Information Science Keio University
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TSUCHIYA YUKI
Graduate School of Science and Engineering, Ritsumeikan University
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Tsuchiya Yuki
Tokyo Univ. Of Sci. Noda‐shi Jpn
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Tsuchiya Yuki
Graduate School Of Electrical Engineering Tokyo University Of Science
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Kaneko Toshinobu
Department Of Electrical Engineering Faculty Of Science And Technology
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Ohtsuki Tomoaki
Department Of Computer And Information Keio University
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Kaneko Toshinobu
Department Of Electric Engineering Science University Of Tokyo
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