Design of Non-Coherent RIS-Empowered DCSK With Two-Level Nested Index Modulation
Non-coherent chaotic communication has gained increasing attention as it provides an efficient solution for reliable communications without requiring channel state information. In this paper, we propose a non-coherent reconfigurable intelligent surface (RIS)-empowered differential chaos shift keying scheme with two-level nested index modulation (RIS-DCSK-TLNIM). In the proposed RIS-DCSK-TLNIM scheme, the reference index and information index are nested to form two-level nested index modulation. This design enhances both the spectral efficiency and bit error rate (BER) performance of RIS-DCSK-TLNIM, albeit at the expense of slightly increased complexity. Furthermore, we propose a joint detection algorithm to recover the information bits transmitted via the reference index, information index, and two distinct-mode signals. We then extend RIS-DCSK-TLNIM into an enhanced system to achieve higher spectral efficiency. Subsequently, we analyze the BER performance, spectral efficiency, and system complexity of RIS-DCSK-TLNIM, and compare these metrics with those of benchmark systems. Comparison results demonstrate that the proposed RIS-DCSK-TLNIM, when configured with a small number of time slots, can achieve more than twice the spectral efficiency and at least a 6 dB gain in BER performance compared to benchmark systems.
Authors
- Ertuğrul Başar (ORCID: https://orcid.org/0000-0001-5566-2392)
- Chau Yuen (ORCID: https://orcid.org/0000-0002-9307-2120)
- Xiangming Cai (ORCID: https://orcid.org/0000-0001-8879-9352)
- Chongwen Huang (ORCID: https://orcid.org/0000-0001-8398-8437)
- Pingping Chen (ORCID: https://orcid.org/0000-0002-2876-653X)
Institutions
- Nanyang Technological University (SG)
- Zhejiang University (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- IEEE Transactions on Wireless Communications
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1109/twc.2025.3527499
- Citations
- 30
- Primary Topic
- Optical Network Technologies
- Type
- article
- Field-Weighted Citation Impact
- 21.91