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Abstract

In this paper, the detection algorithms of two generalized spatial modulation (GSM) schemes in a multiple-input multiple-output (MIMO) visible light communication (VLC) system are developed and analyzed. The considered optical GSM schemes are GSM with Transmit Diversity (GSM-TD) and GSM with Multi-Stream (GSM-MS). By allowing each activated LED to transmit independent temporal symbols simultaneously, GSM-MS benefits from higher bits per channel use (bpcu) than the GSM-TD scheme. Existing maximum likelihood (ML) detection algorithm is computationally prohibitive; hence, we develop a two-stage (identification followed by detection) receiver that decodes the spatial and temporal symbols in a sequential manner. In the first stage, we propose two algorithms, namely subspace tracking and spatial matched filtering (SMF), to identify the indices of activated LEDs, while in the second stage, effective matched filter (EMF) and decorrelating detector are employed to extract temporal symbols for GSM-TD and GSM-MS scheme, respectively. The performance assessment, including the computation load, correct identification probability and the average symbol error rate (SER), is comprehensively evaluated by computation simulation. It is shown that the complexity of the proposed two detection algorithms is extensively reduced compared with the ML algorithm. It is also demonstrated that ML detector offers the best SER performance; nevertheless, SER of the proposed algorithms approaches ML detector in high signal-to-noise ratio (SNR) or large receiver array size scenarios.

Details

1009240
Title
Low-complexity detection for MIMO visible light communication system using generalized spatial modulation
Volume
2025
Issue
1
Pages
5
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
New York
Country of publication
Netherlands
ISSN
16876172
e-ISSN
16876180
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-02-17
Milestone dates
2025-01-27 (Registration); 2023-12-22 (Received); 2025-01-14 (Accepted)
Publication history
 
 
   First posting date
17 Feb 2025
ProQuest document ID
3167826461
Document URL
https://www.proquest.com/scholarly-journals/low-complexity-detection-mimo-visible-light/docview/3167826461/se-2?accountid=208611
Copyright
Copyright Springer Nature B.V. Dec 2025
Last updated
2025-07-22
Database
ProQuest One Academic