<p>This paper presents a novel transmission and detection scheme for optical orthogonal code (OOC)-aided multistream generalized spatial modulation (MS-GSM), which is applied to the downlink multiuser (MU) multiple-input multiple-output (MIMO) channel in visible light communication (VLC). By simultaneously activating multiple light-emitting diodes (LEDs), each carrying independent optical signals, MS-GSM achieves higher system throughput than conventional index modulation techniques. For multiuser downlink transmission, temporal symbols are modulated onto user-specific OOCs. At each user terminal (UT), chip-level processing is first performed using the intended user’s OOC to eliminate multiuser interference (MUI), followed by two detection schemes: The joint detection scheme employs the maximum likelihood (ML) algorithm to jointly estimate spatial and all temporal symbols. The second scheme, alternatively, uses subspace tracking and zero-forcing (ZF) algorithms to decode spatial and temporal symbols sequentially. Comprehensive analyses of system throughput, computational load, and average overall symbol error rate (SER) are conducted, and computer simulations are performed to evaluate the proposed schemes. The results verify that the proposed scheme offers advantages in both computational load and system throughput. Additionally, the sequential detection scheme outperforms the joint detection scheme in terms of SER performance and complexity.</p>

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OOC-aided downlink multiuser MIMO visible light communication systems using multistream generalized spatial modulation

  • Wei-Chiang Wu,
  • Gan-Lin Chen

摘要

This paper presents a novel transmission and detection scheme for optical orthogonal code (OOC)-aided multistream generalized spatial modulation (MS-GSM), which is applied to the downlink multiuser (MU) multiple-input multiple-output (MIMO) channel in visible light communication (VLC). By simultaneously activating multiple light-emitting diodes (LEDs), each carrying independent optical signals, MS-GSM achieves higher system throughput than conventional index modulation techniques. For multiuser downlink transmission, temporal symbols are modulated onto user-specific OOCs. At each user terminal (UT), chip-level processing is first performed using the intended user’s OOC to eliminate multiuser interference (MUI), followed by two detection schemes: The joint detection scheme employs the maximum likelihood (ML) algorithm to jointly estimate spatial and all temporal symbols. The second scheme, alternatively, uses subspace tracking and zero-forcing (ZF) algorithms to decode spatial and temporal symbols sequentially. Comprehensive analyses of system throughput, computational load, and average overall symbol error rate (SER) are conducted, and computer simulations are performed to evaluate the proposed schemes. The results verify that the proposed scheme offers advantages in both computational load and system throughput. Additionally, the sequential detection scheme outperforms the joint detection scheme in terms of SER performance and complexity.