Thresholds optimization for one-bit feedback multi-user scheduling

Mohammed Hafez; Ahmed El Shafie; Mohammed Shaqfeh; Tamer Khattab; Hussein Alnuweiri; Huseyin Arslan

doi:10.1109/LWC.2018.2806453

Thresholds optimization for one-bit feedback multi-user scheduling

Mohammed Hafez, Ahmed El Shafie^*, Mohammed Shaqfeh, Tamer Khattab, Hussein Alnuweiri, Huseyin Arslan

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

We propose a new one-bit feedback scheme with scheduling decision based on the maximum expected weighted rate. We show the concavity of the 2-user case and provide the optimal solution which achieves the maximum weighted rate of the users. For the general asymmetric M-user case, we provide a heuristic method to achieve the maximum expected weighted rate. We show that the sum rate of our proposed scheme is very close to the sum rate of the full channel state information case, which is the upper bound performance.

Original language	English
Article number	8292852
Pages (from-to)	646-649
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	7
Issue number	4
DOIs	https://doi.org/10.1109/LWC.2018.2806453
Publication status	Published - Aug 2018
Externally published	Yes

Keywords

Diversity
feedback
massive MIMO
multiuser
scheduling

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10.1109/LWC.2018.2806453

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author = "Mohammed Hafez and {El Shafie}, Ahmed and Mohammed Shaqfeh and Tamer Khattab and Hussein Alnuweiri and Huseyin Arslan",

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AU - Alnuweiri, Hussein

AU - Arslan, Huseyin

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AB - We propose a new one-bit feedback scheme with scheduling decision based on the maximum expected weighted rate. We show the concavity of the 2-user case and provide the optimal solution which achieves the maximum weighted rate of the users. For the general asymmetric M-user case, we provide a heuristic method to achieve the maximum expected weighted rate. We show that the sum rate of our proposed scheme is very close to the sum rate of the full channel state information case, which is the upper bound performance.

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KW - feedback

KW - massive MIMO

KW - multiuser

KW - scheduling

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Thresholds optimization for one-bit feedback multi-user scheduling

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Keywords

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