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6. Performance of Rate Splitting Multiple Access-based Visible Light Communications with Residual Interference and Channel Estimation Errors.

Author

Sabapathy, Sundaresan and Maruthu, Surendar

Subjects
OPTICAL communications, VISIBLE spectra, RICIAN channels, CHANNEL estimation, QUALITY of service
Abstract

Rate splitting multiple access (RSMA) is a powerful and upcoming multiple access technique that can serve as a promising technology for 5G and beyond applications. Due to the increase in the number of indoor communication devices, the internet of everything (IoE) demands higher bandwidth. Visible light communication (VLC) would be a viable solution for an indoor environment that offers high bandwidth, cost-free spectrum, and low power, and if employed with RSMA, the sum rate can be maximized. In this paper, we derive the closedform outage probability (OP) for the downlink RSMA-based VLC scheme over Rayleigh and Rician channels. We perform outage analyses for perfect as well as imperfect channel state information (CSI) and successive interference cancellation (SIC), respectively to study the system characteristics. Also, we show the superiority of RSMA over non-orthogonal multiple access (NOMA) for VLC-based system in terms of OP over Rayleigh and Rician channels. From the simulations, we show that the RSMA-based VLC system outperforms conventional NOMAbased VLC and the quality of services improves with the line of sight communication i.e., the Rician fading channel. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Rate-Splitting Sparse Vector Code for Next-Generation URLLC Systems

Author

Sabapathy, Sundaresan, Maruthu, Surendar, and Jayakody, Dushantha Nalin K.

Abstract

In this letter, we propose a rate splitting sparse vector coding (RS-SVC) scheme for the next generation ultra-reliable and low-latency communication (xURLLC). The key idea is to segregate the users’ data into common and private parts. A part of users’ information is taken from each user to form the common data (CD) and the rest of the information are considered as private data (PD). Subsequently, the CD is sparse mapped into a sparse vector and each user’s PD is symbol modulated and embedded into the non-zero positions of the sparse vector forming the RS-SVC. This RS-SVC is pseudo randomly spread over a code book and transmitted via a wireless channel. Upon reception, the RS-SVC undergoes a sparse demapping process to pinpoint the non-zero positions representing the CD, concurrently demodulating the embedded symbols will extract the PD. Our numerical analyses and Monte-Carlo simulations substantiate the RS-SVC scheme’s superiority over traditional SVC and its enhanced variant, demonstrating significant improvements in block error rate, user fairness and spectral efficiency.

Published
2024
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