On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming

Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to implement in practical systems. This paper investigates if, for a large number of users, simpler schemes can achieve the same performance. Specifica...

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Bibliographic Details
Published in	IEEE journal on selected areas in communications Vol. 24; no. 3; pp. 528 - 541
Main Authors	Taesang Yoo, Goldsmith, A.
Format	Journal Article
Language	English
Published	New York IEEE 01.03.2006 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects	Algorithms Array signal processing Asymptotic properties Base stations Beamforming Broadcast channel Broadcasting Channels dirty paper coding (DPC) Downlink downlink scheduling fair scheduling H infinity control imperfect channel state information (CSI) MIMO multiple-input/multiple-output (MIMO) multiple-input/multiple-output capacity multiuser diversity Optimization proportional fair Receiving antennas Scheduling Strategy Studies Throughput Time division multiple access Transmitting antennas zero-forcing beamforming (ZFBF)
Online Access	Get full text
ISSN	0733-8716 1558-0008
DOI	10.1109/JSAC.2005.862421

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Abstract	Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to implement in practical systems. This paper investigates if, for a large number of users, simpler schemes can achieve the same performance. Specifically, we show that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity. In proving this asymptotic result, we provide an algorithm for determining which users should be active under ZFBF. These users are semiorthogonal to one another and can be grouped for simultaneous transmission to enhance the throughput of scheduling algorithms. Based on the user grouping, we propose and compare two fair scheduling schemes in round-robin ZFBF and proportional-fair ZFBF. We provide numerical results to confirm the optimality of ZFBF and to compare the performance of ZFBF and proposed fair scheduling schemes with that of various MIMO BC strategies.
AbstractList	Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to implement in practical systems. This paper investigates if, for a large number of users, simpler schemes can achieve the same performance. Specifically, we show that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity. In proving this asymptotic result, we provide an algorithm for determining which users should be active under ZFBF. These users are semiorthogonal to one another and can be grouped for simultaneous transmission to enhance the throughput of scheduling algorithms. Based on the user grouping, we propose and compare two fair scheduling schemes in round-robin ZFBF and proportional-fair ZFBF. We provide numerical results to confirm the optimality of ZFBF and to compare the performance of ZFBF and proposed fair scheduling schemes with that of various MIMO BC strategies. Specifically, we show that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC, as the number of users goes to infinity.
Author	Goldsmith, A. Taesang Yoo
Author_xml	– sequence: 1 surname: Taesang Yoo fullname: Taesang Yoo organization: Stanford Univ., CA, USA – sequence: 2 givenname: A. surname: Goldsmith fullname: Goldsmith, A. organization: Stanford Univ., CA, USA
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Cites_doi	10.1109/ACSSC.2001.987680 10.1109/TIT.2004.833336 10.1109/TCOMM.2006.887480 10.1109/TIT.2003.817421 10.1109/JSAC.2003.810294 10.1109/TIT.2003.813523 10.1109/ISIT.2004.1365211 10.1109/TIT.2005.844082 10.1109/TSP.2003.821107 10.1109/ICC.2004.1312588 10.1109/TIT.2003.817466 10.1109/ICC.1995.525188 10.1002/ett.4460100604 10.1109/TIT.2004.840897 10.1109/TWC.2004.830822 10.1109/TIT.1983.1056659 10.1109/TCOMM.2005.851605 10.1109/TIT.2002.1003822 10.1109/LCOMM.2003.815652 10.1109/ICC.2005.1494839 10.1109/JSAC.2003.810346 10.1109/TIT.2003.814483 10.1023/A:1008889222784 10.1109/TCOMM.2005.844961 10.1109/VETECF.2003.1285329
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References	ref13 ref12 ref14 ref31 venkatesan (ref7) 0 ref30 ref33 ref11 paulraj (ref16) 2003 ref32 ref2 erez (ref29) 2003 ref1 ref17 maddah-ali (ref25) 0 ref19 ref18 swannack (ref15) 2004 ref23 ref20 ref22 hochwald (ref10) 2002 ref21 ref28 ref27 david (ref24) 1980 ref8 ref9 ref4 ref3 ref6 ref5 boyd (ref26) 2003
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Snippet	Although the capacity of multiple-input/multiple-output (MIMO) broadcast channels (BCs) can be achieved by dirty paper coding (DPC), it is difficult to... Specifically, we show that a zero-forcing beamforming (ZFBF) strategy, while generally suboptimal, can achieve the same asymptotic sum capacity as that of DPC,...
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SubjectTerms	Algorithms Array signal processing Asymptotic properties Base stations Beamforming Broadcast channel Broadcasting Channels dirty paper coding (DPC) Downlink downlink scheduling fair scheduling H infinity control imperfect channel state information (CSI) MIMO multiple-input/multiple-output (MIMO) multiple-input/multiple-output capacity multiuser diversity Optimization proportional fair Receiving antennas Scheduling Strategy Studies Throughput Time division multiple access Transmitting antennas zero-forcing beamforming (ZFBF)
Title	On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
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