Dynamic multiple access configuration in intelligent Lifi attocellular access points

Abumarshoud, H. , Alshaer, H. and Haas, H. (2019) Dynamic multiple access configuration in intelligent Lifi attocellular access points. IEEE Access, 7, pp. 62126-62141. (doi: 10.1109/ACCESS.2019.2916344)

Abstract

The exponential growth in the global demand for wireless connectivity calls for efficient and reliable management of the available wireless resources. Light fidelity (LiFi) harnesses the vast untapped wireless transmission resources in the infrared spectrum and visible light spectrum to create ultra-dense wireless networks which support user mobility, multiuser access, and handover. Various multiuser access (MA) protocols have been developed to meet the varying system requirements, including orthogonal multiple access (OMA) and non-orthogonal multiple access (NOMA) schemes. While NOMA, on the one hand, allows for significant enhancement in the achievable data rates, its performance may be severely degraded under particular conditions such as a large number of connected users or users existing in highly symmetrical locations. OMA, on the other hand, provides better link reliability in such scenarios but at the expense of decreased spectral efficiency. Therefore, there is a need to enable a degree of intelligence in the LiFi access point (AP) to facilitate real-time configuration of the MA protocol. To this end, this paper develops a novel cross-layer design framework for dynamic multiple access selections (DMAS) in intelligent LiFi APs. The developed framework runs at LiFi attocell system level and can be configured to cater for various system requirements in terms of sum data rate, average outage probability, and fairness. The obtained results show that DMAS introduces an effective solution for multiuser resource allocation by achieving better satisfaction of the system requirements compared to the static configuration of a single MA scheme.

• Item Type: Articles
• Additional Information: This work is supported in part by the Engineering and Physical Sciences Research Council (EPSRC) under Grant EP/P003974/1 [U.K. Programmable Fixed and Mobile Internet Infrastructure (INITIATE)] and Grant EP/L020009/1 [Towards Ultimate Convergence of All Networks (TOUCAN Project)], and in part by the EPSRC under Established Career Fellowship under Grant EP/R007101/1.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abumarshoud, Dr Hanaa
• Authors: Abumarshoud, H., Alshaer, H., and Haas, H.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: IEEE Access
• Publisher: IEEE
• ISSN: 2169-3536
• ISSN (Online): 2169-3536
• Published Online: 13 May 2019
• Copyright Holders: Copyright © 2019 The Authors
• First Published: First published in IEEE Access 7: 62126-62141
• Publisher Policy: Reproduced under a Creative Commons License