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학술지 Opportunistic Beamforming Communication With Throughput Analysis Using Asymptotic Approach
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저자
Minghua Xia, Yuanping Zhou, 하정락, 정현규
발행일
200906
출처
IEEE Transactions on Vehicular Technology, v.58 no.5, pp.2608-2614
ISSN
0018-9545
출판사
IEEE
DOI
https://dx.doi.org/10.1109/TVT.2008.2009756
협약과제
09MR6400, IMT-Advanced 기반 광대역 무선채널 특성연구, 정현규
초록
The opportunistic beamforming system (OBS) is currently receiving much attention in the field of downlink beamforming due to its simple random beamforming, low feedback complexity, and same throughput scaling obtained with perfect channel-state information using dirty paper coding at the transmitter. In this paper, we focus on its closed-form throughput evaluation over Rayleigh fading channels, based on the asymptotic theory of extreme order statistics. First, the throughput of a single-beam OBS is investigated, and an analytical solution tighter than the previously reported one is derived. Then, the asymptotic throughput bounds on a multibeam OBS are presented, and also, our analytical expression is shown to be very tight with the simulation results even with fewer users. After that, we argue that the reported conclusion that the single-beam OBS is much preferable to the multibeam OBS in the high-signal-to-noise-ratio (SNR) regime is inaccurate, but that, instead, it is satisfied only when the number of users is very small, due to its limited multiuser diversity gain. Finally, we show that four transmit beams is the most preferable in the multibeam OBS with a large number of users and moderate SNR, which arrives at the tradeoff between increasing spatial multiplexing gain and disappearing multiuser diversity gain. © 2009 IEEE.
키워드
Multiple-input single-output (MISO), Multiuser diversity, Opportunistic beamforming system (OBS), Spatial multiplexing, Throughput
KSP 제안 키워드
Analytical Solution, Asymptotic theory, Beamforming system, Channel State Information(CSI), Dirty paper coding, Diversity gain, Multiple-input single-output(MISO), Multiuser diversity, Number of users, Opportunistic beamforming, Random Beamforming