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 symbol error probability. Using numerical analysis, we provide evidence to suggest that this selection strategy achieves the same diversity order as 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.
Original language | English |
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Title of host publication | 2021 IEEE International Symposium on Information Theory |
Subtitle of host publication | proceedings |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 3343-3348 |
Number of pages | 6 |
ISBN (Electronic) | 9781538682098 |
ISBN (Print) | 9781538682104 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Virtual, Melbourne, Australia Duration: 12 Jul 2021 → 20 Jul 2021 |
Conference
Conference | 2021 IEEE International Symposium on Information Theory, ISIT 2021 |
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Country/Territory | Australia |
City | Virtual, Melbourne |
Period | 12/07/21 → 20/07/21 |