Aggregated VLC-RF Systems: Achievable Rates, Optimal Power Allocation, and Energy Efficiency

Shuai Ma, Fan Zhang, Hang Li, Fuhui Zhou, Mohamed-Slim Alouini, Shiyin Li

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

The aggregated visible light communication (VLC) and radio frequency (RF) system, which can be viewed as a heterogeneous multi-input-multi-output system, can improve data rate compared to the conventional RF communication systems. In this paper, we first develop optimal power allocation schemes for the aggregated VLC-RF systems for the single and the multi-light-emitting diode scenarios under different dimming control setups. Moreover, we study the energy efficiency maximization problem of the considered system with the minimum rate requirement, transmitted power constraint, and the dimming control consideration which is non-convex. By using the Dinkelbach-type algorithm, we tackle this problem by solving a sequence of convex problems which converges to the global solution. Finally, the effect of critical parameters, such as total power threshold, dimming level, and bandwidths, are revealed by some selected numerical results.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Wireless Communications
DOIs
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The work of Shuai Ma and Shiyin Li was supported by the National Natural Science Foundation of China under Gran61701501 and Grant 61771474, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20170287, in part by Open Fund of IPOC (BUPT), by Young Talents of Xuzhou Science and Technology Plan Project under Grant KC19051; in part by the Shandong Provincial Major Scientific and Technological Innovation Project(MSTIP) under Grant NO. 2019JZZY020505; and in part by the Program for ”Industrial IoT and Emergency Collaboration ” Innovative Research Team in CUMT (No.2020ZY002); The work of Hang Li was supported by Shenzhen Peacock Plan under Grant KQTD2015033114415450; The work of Fuhui Zhou was supported by the Natural Science Foundation of China under Grant 61701214and in part by Young Elite Scientist Sponsorship Program by CAST.

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