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Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell

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Communications and Networking (ChinaCom 2019)

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.

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Correspondence to Bo Fan .

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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhang, Y., Li, Y., Chen, L., Wang, N., Fan, B. (2020). Evolution Computation Based Resource Allocation for Hybrid Visible-Light and RF Femtocell. In: Gao, H., Feng, Z., Yu, J., Wu, J. (eds) Communications and Networking. ChinaCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-030-41114-5_4

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  • DOI: https://doi.org/10.1007/978-3-030-41114-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41113-8

  • Online ISBN: 978-3-030-41114-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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