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On Practical RIS-Aided OFDM With Index Modulation

delete2023-01-01
delete12
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OA
AI
E
Elvan Kuzucu Hıdır *
E
Ertuğrul Başar
H
Hakan Ali Çırpan
DOI:10.1109/ACCESS.2023.3242860delete
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摘要

摘要

En 中文
Reconfigurable intelligent surface (RIS)-aided communication has been regarded as one of the promising technologies for future wireless networks with regards to controlling the propagation environment and enhancing the quality of the end-to-end communication links. In this study, considering the importance of index modulation (IM) and RIS-aided schemes in 6G networks, first, an RIS-aided orthogonal frequency division multiplexing (OFDM)-IM system design is proposed. Previous studies focusing on RIS-aided OFDM systems are based on an ideal reflection model, where the constant amplitude and variable phase shift of the RIS are independent of the frequency of the incoming signal. However, in realistic applications, this ideal RIS model may not be accurate since both the phase shift and amplitude of RIS elements depend on the frequency, which makes their effect significant, especially for wideband systems. Therefore, this study primarily considers a practical RIS model through designing the RIS reflection coefficients for OFDM-IM systems. In order to further enhance the bit error rate (BER) performance of the RIS-aided OFDM-IM system, an exhaustive search-based optimization algorithm that maximizes the average minimum Euclidean distance (AMED) within the subblocks is also proposed. Moreover, extensive computer simulation results are produced in order to illustrate the performance improvement of the proposed algorithm over the reference algorithms in the literature. The proposed AMED-based reflection coefficient design algorithm provides better BER performance for RIS-aided OFDM-IM systems concerning the presented algorithms.
Keyword:
6G
orthogonal frequency division multiplexing (OFDM)
index modulation (IM)
OFDM-IM
reconfigurable intelligent surface (RIS)

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

K
koc university
学者数:
5.7K
论文数: 4.5K
被引数: 48
I
Istanbul Technical University
学者数:
8.9K
论文数: 7.8K
被引数: 7.9K
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