Performance comparison of MIMO CAP receivers in visible light communication

Akande, Kabiru O.; Offiong, Funmilayo B.; Alrakah, Hussien; Popoola, Wasiu O.

Abstract

Multiple-input, multiple-output (MIMO) techniques have recently been proposed to improve the spectral efficiency of the conventional carrierless amplitude and phase (CAP) modulation scheme while maintaining its implementation simplicity in visible light communication (VLC). The proposed MIMO CAP uses the optimum Maximum Likelihood (ML) detection scheme which has high computational complexity. As a result, four practical, low-complexity detection schemes are investigated for MIMO CAP in this work and their performances are compared with that of ML. It is found that the minimum mean square error detection with optimally-ordered successive interference cancellation (MMSE-OSIC) offers the best choice between complexity and bit-error rate (BER) performance. To achieve a spectral efficiency of 8 bits/s/Hz at BER of 10 in a 4 × 8 MIMO CAP system, the signal-to-noise ratio (SNR) requirement of the MMSE-OSIC is 5 dB higher than that of the optimum ML receiver. However, the ML receiver's complexity is an order of magnitude higher than that of the MMSE-OSIC. -4

Citation

Akande, K. O., Offiong, F. B., Alrakah, H., & Popoola, W. O. (2018). Performance comparison of MIMO CAP receivers in visible light communication. In 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP). https://doi.org/10.1109/csndsp.2018.8471813

• Conference Name: 2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2018
• Conference Location: Budapest
• Start Date: Jul 18, 2018
• End Date: Jul 20, 2018
• Acceptance Date: Jun 1, 2018
• Online Publication Date: Sep 27, 2018
• Publication Date: 2018
• Deposit Date: May 21, 2021
• Book Title: 2018 11th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP)
• ISBN: 9781538613351
• DOI: https://doi.org/10.1109/csndsp.2018.8471813
• Public URL: https://uwe-repository.worktribe.com/output/5289257