Research Article
Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell
@INPROCEEDINGS{10.1007/978-3-030-41114-5_4, author={Yuan Zhang and Yang Li and Liang Chen and Ning Wang and Bo Fan}, title={Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell}, proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2020}, month={2}, keywords={Visible light communication Heterogeneous network 5G}, doi={10.1007/978-3-030-41114-5_4} }- Yuan Zhang
Yang Li
Liang Chen
Ning Wang
Bo Fan
Year: 2020
Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell
CHINACOM
Springer
DOI: 10.1007/978-3-030-41114-5_4
Abstract
Incorporating visible light communication (VLC) with existing radio frequency (RF) access techniques has received widespread concern to enhance network coverage/capacity. This paper focuses on the joint downlink resource allocation (RA) in a hybrid VLC-RF network. The problem is formulated as utility maximization by jointly adjusting downlink sub-channel allocation. A Evolution Computation (EC) based centralized algorithm is developed to solve the problem. To reduce computation complexity, the algorithm is decoupled into two sub-steps. First, users are assigned to different VLC access points and the allocation is initialized in a proportional fair (PF) like method. Second, EC search procedures are iteratively operated until optimality. Through simulation, the algorithm outperforms classic PF and Round Robin RA methods in terms of throughput and user fairness.
