Robust Beamforming for Nonorthogonal Multiple-Access Systems in MISO Channels

Nonorthogonal multiple access (NOMA) is a promising technology in future mobile communication systems. In this paper, considering that the base station knows imperfect channel state information (CSI), we investigate the robust beamforming design problem for NOMA systems in multiple-input-single-outp...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 65; H. 12; S. 10231 - 10236
Hauptverfasser: Zhang, Qi, Li, Quanzhong, Qin, Jiayin
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Alternating optimization (AO)
Array signal processing
Base stations
Beamforming
Channels
Downlink
Mobile communication systems
multiple-input single-output (MISO)
Nonorthogonal multiple access
nonorthogonal multiple access (NOMA)
Optimization
Radio equipment
robust beamforming
Robustness
Uncertainty
worst-case model
ISSN:0018-9545, 1939-9359
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Zusammenfassung:Nonorthogonal multiple access (NOMA) is a promising technology in future mobile communication systems. In this paper, considering that the base station knows imperfect channel state information (CSI), we investigate the robust beamforming design problem for NOMA systems in multiple-input-single-output (MISO) channels. Modeling channel uncertainties by the worst-case model, we aim at maximizing the worst-case achievable sum rate subject to the transmit power constraint at the base station. We propose to decouple the nonconvex optimization problem into four optimization problems and employ an alternating optimization algorithm to solve the problem. Simulation results demonstrate that our proposed robust beamforming scheme outperforms the orthogonal multiple-access scheme.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2016.2547998