A Partitioned IRS-Aided Transmit SM Scheme for Wireless Communication

Liping Xiong, Yuyang Peng (), Ming Yue, Haihong Wei, Runlong Ye, Fawaz AL-Hazemi and Mohammad Meraj Mirza
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Liping Xiong: School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Yuyang Peng: School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Ming Yue: School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Haihong Wei: School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Runlong Ye: School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Fawaz AL-Hazemi: Department of Computer and Network Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia
Mohammad Meraj Mirza: Department of Computer Science, College of Computers and Information Technology, Taif University, Taif 21944, Saudi Arabia

Mathematics, 2025, vol. 13, issue 9, 1-13

Abstract: In this paper, we present a practical partitioned intelligent-reflecting-surface-aided transmit spatial modulation (PIRS-TSM) scheme, where spatial modulation is implemented at the transmitter and partitioning is conducted on the IRS to enhance the spectral efficiency (SE) and reliability for multiple-input single-output (MISO) systems. The theoretical analysis of average bit error rate (ABER) based on maximum likelihood (ML) detection and the computational complexity analysis are provided. Experimental simulations demonstrate that the PIRS-TSM scheme obtains a significant ABER enhancement under the same SE compared to the existing partitioned IRS-aided transmit space shift keying or generalized space shift keying schemes by additionally carrying modulated symbols. Moreover, the system performances with different configurations of antenna numbers and symbol modulation orders under the same SE are investigated as a practical application reference.

Keywords: partitioned intelligent reflecting surface (PIRS); spatial modulation (SM); spectral efficiency (SE); average bit error rate (ABER) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
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