An, Bo, Wu, Liang, Zhang, Zaichen, Dang, Jian, Zhu, Bingcheng, Liu, Huaping, Wang, Jiangzhou (2023) Enhanced reconfigurable intelligent surface assisted spatial index modulation. IEEE Transactions on Communications, . p. 1. ISSN 0090-6778. E-ISSN 1558-0857. (doi:10.1109/tcomm.2023.3347568) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:104497)
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Official URL: https://doi.org/10.1109/tcomm.2023.3347568 |
Abstract
Reconfigurable intelligent surface (RIS)-assisted spatial index modulation (SIM) is a promising candidate for future wireless communication systems due to its high energy and spectrum efficiencies. When only one transmit antenna and one receive antenna are active in the RIS-assisted SIM, we develop a phase-alignment algorithm based on the signature constellation, which utilizes the signature constellation technology to achieve a good bit error rate (BER) performance with a low complexity. Furthermore, in the general scenario, we propose a novel optimization algorithm for RIS reflection coefficients, called maximum Euclidean distance-based low BER (MED-LBER) algorithm. The proposed algorithm aims to maximize the Euclidean distance between different received signals to improve the system performance. The achievable rate, BER performances, and computational complexities of the proposed algorithms are analyzed in detail. The impacts of imperfect channels on the performance of the proposed algorithms are studied. Extensive simulations are carried out to compare the performance of the proposed algorithms with existing algorithms, and demonstrate their superior BER performance.
Item Type: | Article |
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DOI/Identification number: | 10.1109/tcomm.2023.3347568 |
Uncontrolled keywords: | Transmitting antennas; Receiving antennas; Signal to noise ratio; Modulation; Optimization; Bit error rate; symbols |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 29 Apr 2024 11:09 UTC |
Last Modified: | 30 Apr 2024 15:23 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/104497 (The current URI for this page, for reference purposes) |
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