학술논문

Intelligent Reflecting Surfaces for Enhanced NOMA-based Visible Light Communications
Document Type
Conference
Source
ICC 2022 - IEEE International Conference on Communications Communications, ICC 2022 - IEEE International Conference on. :571-576 May, 2022
Subject
Communication, Networking and Broadcast Technologies
NOMA
Key performance indicator
Reflection coefficient
Decoding
Reliability
Resource management
Optimization
visible light communication (VLC)
light fidelity (LiFi)
intelligent reflecting surface (IRS)
non-orthogonal multiple access (NOMA)
Language
ISSN
1938-1883
Abstract
The emerging intelligent reflecting surface (IRS) technology introduces the potential of controlled light propagation in visible light communication (VLC) systems. This concept opens the door for new applications in which the channel itself can be altered to achieve specific key performance indicators. In this paper, for the first time in the open literature, we investigate the role that IRSs can play in enhancing the link reliability in VLC systems employing non-orthogonal multiple access (NOMA). We propose a framework for the joint optimisation of the NOMA and IRS parameters and show that it provides significant enhancements in link reliability. For example, the bit-error-rate of the NOMA user in the first decoding order is reduced to the order of 10 −6 using the proposed framework compared to an error floor of 10 −2 under fixed power allocation and fixed IRS reflection coefficients. The enhancement is even more pronounced when the VLC channel is subject to blockage and random device orientation.