2007 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing 2007
DOI: 10.1109/camsap.2007.4497969
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Adaptive Orthogonal Beamforming for the Mimo Broadcast Channel

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Cited by 13 publications
(27 citation statements)
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“…As shown in (12), SINR kn is more likely to decrease with n increases. Thus, the user with a small n (at high layer) enjoys a higher SINR thanks to the MOBF, where a high QoS requirement could be guaranteed.…”
Section: International Journal Of Distributed Sensor Networkmentioning
confidence: 89%
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“…As shown in (12), SINR kn is more likely to decrease with n increases. Thus, the user with a small n (at high layer) enjoys a higher SINR thanks to the MOBF, where a high QoS requirement could be guaranteed.…”
Section: International Journal Of Distributed Sensor Networkmentioning
confidence: 89%
“…According to (12) and (14), when γ k is sufficiently large, the SINR-based user selection criterion is approximately identical to choose the user who has the smallest sum of ODs. Hence, the resulting selection scheme is regarded as the orthogonal deficiency sequential (ODS) user selection, which is summarized as follows.…”
Section: Od-based User Selectionmentioning
confidence: 99%
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“…In order to address the user scheduling and BF weight vector design problems jointly at relatively low complexity, a number of suboptimal BF methods combined with user scheduling have been proposed [2]- [6] and shown to achieve a significant portion of DPC sum capacity [3]- [6]. A semiorthogonal user selection algorithm has been combined with zero-forcing beamforming (ZFBF) in [3] and has been shown to asymptotically attain the same sum rate as that of DPC.…”
Section: Introductionmentioning
confidence: 99%