Signal Detection for Enhanced Spatial Modulation-Based Communication: A Block Deep Neural Network Approach

Shaopeng Jin, Yuyang Peng (), Fawaz AL-Hazemi and Mohammad Meraj Mirza
Additional contact information
Shaopeng Jin: The School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Yuyang Peng: The School of Computer Science and Engineering, Macau University of Science and Technology, Macau 999078, China
Fawaz AL-Hazemi: Department of Computer and Networking Engineering, University of Jeddah, Jeddah 21959, Saudi Arabia
Mohammad Meraj Mirza: Department of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Mathematics, 2025, vol. 13, issue 4, 1-12

Abstract: As a novel variant of spatial modulation (SM), enhanced SM (ESM) provides higher spectral efficiency and improved bit error rate (BER) performance compared to SM. In ESM, traditional signal detection methods such as maximum likelihood (ML) have the drawback of high complexity. Therefore, in this paper, we try to solve this problem using a deep neural network (DNN). Specifically, we propose a block DNN (B-DNN) structure, in which smaller B-DNNs are utilized to identify the active antennas along with the constellation symbols they transmit. Simulation outcomes indicate that the BER performance related to the introduced B-DNN method outperforms both the minimum mean-square error (MMSE) and the zero-forcing (ZF) methods, approaching that of the ML method. Furthermore, the proposed method requires less computation time compared to the ML method.

Keywords: enhanced spatial modulation; bit error rate; complexity; deep learning (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2025
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/13/4/596/pdf (application/pdf)
https://www.mdpi.com/2227-7390/13/4/596/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:13:y:2025:i:4:p:596-:d:1588832

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().