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Author:

Liu, C. (Liu, C..) | Ma, J. (Ma, J..) | Zhai, P. (Zhai, P..) | Liu, B. (Liu, B..) | Zheng, T.-X. (Zheng, T.-X..) | Wang, F. (Wang, F..)

Indexed by:

Scopus EI SCIE SCOPUS

Abstract:

Joint transmitter and receiver modulation (JSM) is a promising spatial-domain modulation scheme, which is capable of enhancing the spatial diversity, as well as the spatial multiplexing gain for the modulated multiple-input multiple-output (MIMO) systems. In this piece of paper, in order to generalize the JSM for arbitrary size MIMOs, we propose and investigate a novel joint transmit and receive spatial pattern grouping based JSM (SPG-JSM), which is enabled by RF mirrors configured around transmit antennas. To provide the proposed SPG-JSM with further enhanced spatial diversity, a SPG associated alternative null-space beamforming (ANB) strategy is introduced for accomplishing the transmitter preprocessing. In addition to the classical maximum-likelihood detection (MLD), we design a ratio sorting assisted low-complexity detection (RS-LCD) scheme to decrease the implementation cost at the receiver. Furthermore, we analyze the capacity, error performance, and the spatial diversity achievable by the proposed SPG-JSM, provided that the MLD is exploited at the receiver. Simulation outcomes are characterized to demonstrate the advantages of our novel SPG-JSM, and to validate the analytical performance derivations. © 2022 Elsevier Inc.

Keyword:

Performance analysis; Receiver detection; RF mirrors; Spatial modulation; Transmitter preprocessing

Author Community:

  • [ 1 ] [Liu, C.]School of Communications and Information Engineering, School of Artificial Intelligence, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China
  • [ 2 ] [Ma, J.]School of Communications and Information Engineering, School of Artificial Intelligence, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China
  • [ 3 ] [Zhai, P.]School of Communications and Information Engineering, School of Artificial Intelligence, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China
  • [ 4 ] [Liu, B.]School of Communications and Information Engineering, School of Artificial Intelligence, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China
  • [ 5 ] [Zheng, T.-X.]National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China
  • [ 6 ] [Zheng, T.-X.]Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China
  • [ 7 ] [Wang, F.]School of Information Engineering, Zhengzhou University, Zhengzhou, 450001, China
  • [ 8 ] [Liu, Chaowen]Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
  • [ 9 ] [Ma, Ji]Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
  • [ 10 ] [Zhai, Pengyu]Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
  • [ 11 ] [Liu, Boyang]Xian Univ Posts & Telecommun, Sch Commun & Informat Engn, Xian 710121, Peoples R China
  • [ 12 ] [Liu, Chaowen]Xian Univ Posts & Telecommun, Sch Artificial Intelligence, Xian 710121, Peoples R China
  • [ 13 ] [Ma, Ji]Xian Univ Posts & Telecommun, Sch Artificial Intelligence, Xian 710121, Peoples R China
  • [ 14 ] [Zhai, Pengyu]Xian Univ Posts & Telecommun, Sch Artificial Intelligence, Xian 710121, Peoples R China
  • [ 15 ] [Liu, Boyang]Xian Univ Posts & Telecommun, Sch Artificial Intelligence, Xian 710121, Peoples R China
  • [ 16 ] [Zheng, Tong -Xing]Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
  • [ 17 ] [Zheng, Tong -Xing]Xi An Jiao Tong Univ, Key Lab Intelligent Networks & Network Secur, Minist Educ, Xian 710049, Shaanxi, Peoples R China
  • [ 18 ] [Wang, Fasong]Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China

Reprint Author's Address:

  • [Liu, C.]School of Communications and Information Engineering, China;;

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Source :

Digital Signal Processing: A Review Journal

ISSN: 1051-2004

Year: 2023

Volume: 133

3 . 3 8 1

JCR@2020

ESI Discipline: ENGINEERING;

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: 7

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