Quadruple Code Index Modulation

In this paper, a quadruple code index modulation (QCIM) technique is proposed for low-complexity and spectral-efficient wireless transmission. The proposed QCIM scheme utilizes quadruple code indices in addition to M-ary phase shift keying symbols to transmit more information bits compared to conventional code index modulation (CIM) schemes. To recover the transmitted information bits, we propose maximum likelihood detection (MLD) and greedy detection (GD) algorithms for the proposed QCIM, with the GD algorithm offering almost the same bit error rate (BER) performance to the MLD algorithm but with significantly lower system complexity. Additionally, we extend QCIM into a reconfigurable intelligent surface (RIS)-assisted QCIM (RIS-QCIM) system, which significantly enhances BER performance and eliminates the need for channel state information at the receiver. Numerical results demonstrate that the proposed QCIM and RIS-QCIM achieve higher spectral efficiency and superior BER performance in contrast to benchmark schemes.

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Publication Details

Journal
IEEE Transactions on Cognitive Communications and Networking
Published
2024-12-11
DOI
https://doi.org/10.1109/tccn.2024.3516050
Citations
5
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
1.04
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article

Quadruple Code Index Modulation

Zhaopeng Xie, Ertuğrul Başar, Chau Yuen, Yi Fang et al.
5 citations
IEEE Transactions on Cognitive Communications and Networking
Advanced Wireless Communication Techniques
1.04
article

Quadruple Code Index Modulation

Zhaopeng Xie, Ertuğrul Başar, Chau Yuen, Yi Fang, Xiangming Cai, Pingping Chen
article en
5 citations

Abstract

In this paper, a quadruple code index modulation (QCIM) technique is proposed for low-complexity and spectral-efficient wireless transmission. The proposed QCIM scheme utilizes quadruple code indices in addition to M-ary phase shift keying symbols to transmit more information bits compared to conventional code index modulation (CIM) schemes. To recover the transmitted information bits, we propose maximum likelihood detection (MLD) and greedy detection (GD) algorithms for the proposed QCIM, with the GD algorithm offering almost the same bit error rate (BER) performance to the MLD algorithm but with significantly lower system complexity. Additionally, we extend QCIM into a reconfigurable intelligent surface (RIS)-assisted QCIM (RIS-QCIM) system, which significantly enhances BER performance and eliminates the need for channel state information at the receiver. Numerical results demonstrate that the proposed QCIM and RIS-QCIM achieve higher spectral efficiency and superior BER performance in contrast to benchmark schemes.

IEEE Transactions on Cognitive Communications and NetworkingVol. 11(4)
Guangdong University of Technology (CN), Nanyang Technological University (SG), Fuzhou University (CN)
Openalex Percentile: Top 22%
Advanced Wireless Communication Techniques
1.04
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