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author:

Fang, Y. (Fang, Y..) [1] | Chen, W. (Chen, W..) [2] | Chen, P. (Chen, P..) [3] (Scholars:陈平平) | Tao, Y. (Tao, Y..) [4] | Guizani, M. (Guizani, M..) [5]

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Scopus CSCD

Abstract:

This paper proposes a high-throughput short reference differential chaos shift keying cooperative communication system with the aid of code index modulation, referred to as CIM-SR-DCSK-CC system. In the proposed CIM-SR-DCSK-CC system, the source transmits information bits to both the relay and destination in the first time slot, while the relay not only forwards the source information bits but also sends new information bits to the destination in the second time slot. To be specific, the relay employs an N-order Walsh code to carry additional log2N information bits, which are superimposed onto the SR-DCSK signal carrying the decoded source information bits. Subsequently, the superimposed signal carrying both the source and relay information bits is transmitted to the destination. Moreover, the theoretical bit error rate (BER) expressions of the proposed CIM-SR-DCSK-CC system are derived over additive white Gaussian noise (AWGN) and multipath Rayleigh fading channels. Compared with the conventional DCSK-CC system and SR-DCSK-CC system, the proposed CIM-SR-DCSK-CC system can significantly improve the throughput without deteriorating any BER performance. As a consequence, the proposed system is very promising for the applications of the 6G-enabled low-power and high-rate communication.  © China Communications Magazine Co., Ltd. October 2023.

Keyword:

bit error rate code index modulation cooperative communication differential chaos shift keying high throughput short reference

Community:

  • [ 1 ] [Fang Y.]School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China
  • [ 2 ] [Chen W.]School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China
  • [ 3 ] [Chen P.]School of Advanced Manufacturing, Fuzhou University, Jinjiang campus, 362251, China
  • [ 4 ] [Tao Y.]School of Information Engineering, Guangdong University of Technology, Guangzhou, 510006, China
  • [ 5 ] [Guizani M.]Department of Machine Learning, MBZUAI, Abu Dhabi, 999041, United Arab Emirates

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Source :

China Communications

ISSN: 1673-5447

Year: 2023

Issue: 10

Volume: 20

Page: 1-16

3 . 1

JCR@2023

3 . 1 0 0

JCR@2023

JCR Journal Grade:2

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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