MU-MIMO NOMA with Linear Precoding Techniques in Indoor Downlink VLC Systems

Rajput, VS and Ashok, DR and Chockalingam, A (2020) MU-MIMO NOMA with Linear Precoding Techniques in Indoor Downlink VLC Systems. In: 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 25-28 May 2020, Antwerp, Belgium, Belgium.

PDF IEEE_VEH_TEC_CON_2020_2020.pdf - Published Version Restricted to Registered users only Download (198kB) | Request a copy

Abstract

In this paper, we consider non-orthogonal multiple access (NOMA) transmission with linear precoding techniques in downlink multiuser indoor multiple-input multiple-output (MIMO) visible light communication (VLC) systems. In particular, we propose a MIMO-NOMA transmission scheme in which the users having highly correlated channels are grouped into a single cluster and a common precoder is designed for all the users within this cluster. For the proposed scheme, we present an algorithm for grouping the users into clusters based on the correlation among their channel gains. Our performance results show that the proposed MIMO-NOMA transmission scheme achieves significantly higher spectral efficiency as compared to the conventional multiuser MIMO precoding schemes and can serve more number of users simultaneously. © 2020 IEEE.

Item Type:	Conference Paper
Publication:	IEEE Vehicular Technology Conference
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 91st IEEE Vehicular Technology Conference, VTC Spring 2020 ; Conference Date: 25 May 2020 Through 28 May 2020; Conference Code:161536
Keywords:	MIMO systems; Springs (components), Highly-correlated; Linear pre-coding; Multi-user MIMO; Multiple access; Non-orthogonal; Spectral efficiencies; Transmission schemes; Visible light communications (VLC), Visible light communication
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	08 Oct 2020 09:37
Last Modified:	08 Oct 2020 09:37
URI:	http://eprints.iisc.ac.in/id/eprint/66172

Actions (login required)

View Item