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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liang Sun Ming Lei Ng, D.W.K. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Electrical and Computer Engineering, The University of British Columbia Vancouver, Canada (Ng, D.W.K.) || NEC Laboratories China, A-11F, Innovation Plaza, Tsinghua Science Park, Beijing 100084, China (Liang Sun; Ming Lei) |
| Abstract | This paper considers the implementation of Tomlinson-Harashima (TH) precoding for multiuser MIMO systems based on quantized channel state information (CSI) at the transmitter side. Compared with the results in [1], our scheme applies to more general system setting where the number of users in system K can be not equal to the number of transmit antenna n (K ≤ n). We also study the achievable average sum rate of the proposed quantized CSI feedback-based TH precoding scheme. The expression of an upper bound on the mean loss in sum rate due to CSI quantization is derived.We also present some numerical results. Both the analytical and numerical results show that nonlinear precoding suffers from imperfect CSI more greatly than linear precoding. Nonlinear TH precoding can achieve much better performance than that of linear zero-forcing precoding for both perfect CSI and quantized CSI cases. In addition, our derived upper bound for TH precoding converges to the true rate loss faster than the upper bound for zero-forcing precoding obtained in [2] as the number of feedback bits increases. |
| Starting Page | 1846 |
| Ending Page | 1850 |
| File Size | 688809 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467350501 |
| ISSN | 10586393 |
| e-ISBN | 9781467350518 |
| DOI | 10.1109/ACSSC.2012.6489356 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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