| Paper ID | D7-S7-T1.1 |
| Paper Title |
Selection Combining for Multi-Antenna Communication with Low-Resolution ADCs |
| Authors |
Samiru Gayan, University of Moratuwa, Australia; Rajitha Senanayake, University of Melbourne, Australia; Hazer Inaltekin, Macquarie University, Australia; Jamie Evans, University of Melbourne, Australia |
| Session |
D7-S7-T1: Low-Resolution Receivers |
| Chaired Session: |
Wednesday, 21 July, 00:00 - 00:20 |
| Engagement Session: |
Wednesday, 21 July, 00:20 - 00:40 |
| Abstract |
In this paper, we investigate antenna selection strategies for multi-antenna wireless communication systems with low-resolution quantizers. We propose three sub-optimum but low-complexity antenna selection strategies and characterize their symbol error probability performance. We show that the strategy that selects the diversity branch with channel rotated constellation points being furthest away from the decision boundary is the best strategy in terms of the symbol error probability performance. We also establish that this selection strategy achieves the same diversity order with the optimum maximum likelihood (ML) detector under the same operating conditions. An extensive simulation study is performed to illustrate the accuracy of the derived results.
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