Generalized Polarization–Spatial Modulation With Multimode Transmission

Polarization-spatial modulation (PSM) has been recently proposed to improve the system performance and energy efficiency of the conventional polarization modulation (PM) by activating only a single dual-polarized (DP) antenna for signal transmission. However, the spectral efficiency (SE) of PSM is significantly degraded due to the single DP antenna transmission. To tackle this problem, we propose a generalized PSM (GPSM) scheme to enhance the SE of PSM through transmission using multiple DP antennas. In the GPSM scheme, the information bits are mapped to antenna activation patterns (AAPs), polarization matrix activation patterns (PAPs), and modulated symbols. To further enhance the SE of GPSM, we propose a more practical scheme termed multi-mode GPSM (MM-GPSM), which transmits information bits not only through the AAPs, PAPs, and modulated symbols but also via the constellation activation patterns (CAPs). A low-complexity maximum likelihood (ML) detector and a log-likelihood ratio detector for both GPSM and MM-GPSM are proposed to relieve the high computational complexity of the optimal ML detector at the cost of a negligible performance loss. An upper bound on the bit error rate (BER) is derived in closed-form to evaluate the performance of both GPSM and MM-GPSM. Simulation results show that GPSM and MM-GPSM outperform the conventional PM and PSM schemes, particularly in the high signal-to-noise ratio (SNR) region, and verify the accuracy of the theoretical analysis of the upper-bounded BER.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-04-14
DOI
https://doi.org/10.1109/jiot.2025.3558310
Citations
1
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73

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article

Generalized Polarization–Spatial Modulation With Multimode Transmission

Chuanxi Chen, Yuyang Peng, Xuan Chen, Jun Li et al.
1 citations
IEEE Internet of Things Journal
Optical Wireless Communication Technologies
0.73
article

Generalized Polarization–Spatial Modulation With Multimode Transmission

Chuanxi Chen, Yuyang Peng, Xuan Chen, Jun Li, Shuping Dang, Yu Ling, Shuangyuan Li
article en
1 citations

Abstract

Polarization-spatial modulation (PSM) has been recently proposed to improve the system performance and energy efficiency of the conventional polarization modulation (PM) by activating only a single dual-polarized (DP) antenna for signal transmission. However, the spectral efficiency (SE) of PSM is significantly degraded due to the single DP antenna transmission. To tackle this problem, we propose a generalized PSM (GPSM) scheme to enhance the SE of PSM through transmission using multiple DP antennas. In the GPSM scheme, the information bits are mapped to antenna activation patterns (AAPs), polarization matrix activation patterns (PAPs), and modulated symbols. To further enhance the SE of GPSM, we propose a more practical scheme termed multi-mode GPSM (MM-GPSM), which transmits information bits not only through the AAPs, PAPs, and modulated symbols but also via the constellation activation patterns (CAPs). A low-complexity maximum likelihood (ML) detector and a log-likelihood ratio detector for both GPSM and MM-GPSM are proposed to relieve the high computational complexity of the optimal ML detector at the cost of a negligible performance loss. An upper bound on the bit error rate (BER) is derived in closed-form to evaluate the performance of both GPSM and MM-GPSM. Simulation results show that GPSM and MM-GPSM outperform the conventional PM and PSM schemes, particularly in the high signal-to-noise ratio (SNR) region, and verify the accuracy of the theoretical analysis of the upper-bounded BER.

IEEE Internet of Things JournalVol. 12(12)
Fujian Normal University (CN), Macau University of Science and Technology (MO), University of Bristol (GB), Guangzhou University (CN), Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 30%
Optical Wireless Communication Technologies
0.73
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