Symbiotic Radio Systems: Detection and Performance Analysis

doi:10.12142/ZTECOM.202203012

ZTE Communications ›› 2022, Vol. 20 ›› Issue (3): 93-98.DOI: 10.12142/ZTECOM.202203012

• • 上一篇

收稿日期:2021-11-28 出版日期:2022-09-13 发布日期:2022-09-14

Symbiotic Radio Systems: Detection and Performance Analysis

CUI Ziqi¹, WANG Gongpu¹, WANG Zhigang²(), AI Bo¹, XIAO Huahua³

^1.Beijing Jiaotong University, Beijing 100044, China
^2.Guangdong Communications and Networks Institute, Guangzhou 510070, China
^3.ZTE Corporation, Shenzhen 518057, China

Received:2021-11-28 Online:2022-09-13 Published:2022-09-14
About author:CUI Ziqi received her BE degree in computer science and technology from the North University of China in 2018, the MS degree from the Beijing Jiaotong University, China in 2021, where she is currently pursuing the PhD degree with the Department of Computer Science and Technology. Her research interests include the Internet of Things, performance analysis theories, and signal processing technologies.|WANG Gongpu received his BE degree from Anhui University, China in 2001, and MS degree from Beijing University of Posts and Telecommunications, China in 2004. From 2004 to 2007, he was an assistant professor in the School of Network Education, Beijing University of Posts and Telecommunications. He received his PhD degree from University of Alberta, Canada in 2011. Currently, he is a professor in School of Computer and Information Technology, Beijing Jiaotong University, China. His research interests include wireless communication theories, signal processing technologies, and the Internet of Things.|WANG Zhigang (wangzhigang@gdcni.cn) is currently with Guangdong Communications and Networks Institute, China. His research interests include Internet of Things, autonomous aerial vehicles, and MIMO communication.|AI Bo received his MS and PhD degrees from Xidian University, China in 2002 and 2004, respectively. He was with Tsinghua University, China, where he was an Excellent Post-Doctoral Research Fellow in 2007. He is currently a professor and a PhD supervisor with Beijing Jiaotong University, China. He is also the Deputy Director of the State Key Laboratory of Rail Traffic Control and Safety. He has published six Chinese academic books, three English books, over 110 IEEE journal articles, five ESI highly cited articles, and one ESI hot article. He is mainly engaged in the research and application of the theory and core technology of broadband mobile communication and rail transit dedicated mobile communication systems (GSM-R, LTE-R, 5G-R, and LTE-M). He is a Fellow of the IET. He received the National Science Fund for Distinguished Young Scholars, the Outstanding Youth Science Fund, the Ministry of Science and Technology’s Young and Middle-Aged Science and Technology Innovation Leaders, the China Association for Science and Technology’s Seeking Outstanding Youth Award, the Ministry of Education’s New Century Excellence Talent, the Zhan Tianyou Railway Science and Technology Youth Award, the Beijing Science and Technology Star Winner, and the Honorary Title of Beijing Excellent Teacher. He has obtained nine international conference paper awards and 26 invention patents (18 proposals adopted by the ITU, 3GPP, etc.), and eight provincial and ministerial-level science and technology awards. He is also the president of the IEEE BTS Xi’an Branch, the vice president of the IEEE VTS Beijing Branch, the IEEE VTS Distinguished Lecturer, an Associate Editor of the IEEE Transactions on Consumer Electronics and the IEEE Transactions On Antennas and Propagation, and a Guest Editor of the IEEE Antennas and Wireless Propagation Letters, the IEEE Transactions on Vehicular Technology, the IEEE Transactions on Industrial Electronics, and other SCI journals.|XIAO Huahua received his MS degree in computer software and theories from Sun Yat-Sen University, China. He is currently with ZTE Corporation, as a senior engineer in the field of antenna algorithm pre-research. He has applied for more than 150 Chinese and foreign patents in the multi-antenna field. His research interests include MIMO communication, cellular radio, precoding, and Long Term Evolution.

摘要/Abstract

Abstract:

Symbiotic radio (SR) is an emerging green technology for the Internet of Things (IoT). One key challenge of the SR systems is to design efficient and low-complexity detectors, which is the focus of this paper. We first drive the mathematical expression of the optimal maximum-likelihood (ML) detector, and then propose a suboptimal iterative detector with low complexity. Finally, we show through numerical results that our proposed detector can obtain near-optimal bit error rate (BER) performance at a low computational cost.

Key words: bit error rate, data detection, Internet of Things, symbiotic radio system, wireless communication

. [J]. ZTE Communications, 2022, 20(3): 93-98.

CUI Ziqi, WANG Gongpu, WANG Zhigang, AI Bo, XIAO Huahua. Symbiotic Radio Systems: Detection and Performance Analysis[J]. ZTE Communications, 2022, 20(3): 93-98.

图/表 6

Figure 1 Symbolic radio system model

Figure 2 Suboptimal iterative detector scheme

Table 1 Computational complexity of different detectors

Detector	Computational Complexity
Optimal ML	$O (A x ? \| A b \|)$
LMMSE	$O (A x ? \| A b \|)$
Suboptimal iterative	$O (A x + A b)$

Table 1 Computational complexity of different detectors

Detector	Computational Complexity
Optimal ML	$O (A x ? \| A b \|)$
LMMSE	$O (A x ? \| A b \|)$
Suboptimal iterative	$O (A x + A b)$

Figure 3 BER of x(n) and b(n) versus γp with d0=d1=d2=1 m

Figure 4 BER of x(n) and b(n) versus d1 with d0=d2=1 m and γP=8 dB

Figure 5 BER of xn and bn versus different iterations with d0=d1=d2=1 m

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