Thresholds optimization for one-bit feedback multi-user scheduling
| Author | Hafez M. |
| Author | El Shafie A. |
| Author | Shaqfeh M. |
| Author | Khattab T. |
| Author | Alnuweiri H. |
| Author | Arslan H. |
| Available date | 2020-03-18T08:10:09Z |
| Publication Date | 2018 |
| Publication Name | IEEE Wireless Communications Letters |
| Resource | Scopus |
| ISSN | 21622337 |
| 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. ? 2012 IEEE. |
| Sponsor | Manuscript received December 6, 2017; revised January 13, 2018; accepted February 8, 2018. Date of publication February 15, 2018; date of current version August 21, 2018. This work was supported by the Qatar National Research Fund (a member of the Qatar Foundation, QF) under Grant NPRP 7-923-2-344. The statements made herein are the sole responsibility of the authors. The associate editor coordinating the review of this paper and approving it for publication was S. Andreev. (Corresponding author: Ahmed El Shafie.) M. Hafez is with the Electrical Engineering Department, University of South Florida, Tampa, FL 33620-9951 USA (e-mail: mhafez@mail.usf.edu). |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | Diversity feedback massive MIMO multiuser scheduling |
| Type | Article |
| Pagination | 646 - 649 |
| Issue Number | 4 |
| Volume Number | 7 |
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Electrical Engineering [2420 items ]