Research on resource allocation in ultra dense visible light communication networks based on improved differential evolution method

CHEN Sijia; WANG Qingquan; ZHOU Li

doi:10.14016/j.cnki.jgzz.2025.02.185

Laser Journal, Volume. 46, Issue 2, 185(2025)

Research on resource allocation in ultra dense visible light communication networks based on improved differential evolution method

CHEN Sijia¹, WANG Qingquan¹, and ZHOU Li²

Author Affiliations

¹College of Information Engineering, Jiaxing Nanhu University, Jiaxing Zhejiang 314000, China

²College of Information Science and Engineering, Jiaxing University, Jiaxing Zhejiang 314000, China

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References(2)

[6] [6] Allahham M S, Abdellatif A A, Mhaisen N, et al. Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks[J]. IEEE transactions on cognitive communications and networking, 2022, 8(2): 1287-1300.

[7] [7] Moradi M, Ahmadi M, Pourkarimi L. Virtualized network functions resource allocation in network functions virtualization using mathematical programming[J]. Computer Communications, 2024, 228(1): 107963-107973.

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CHEN Sijia, WANG Qingquan, ZHOU Li. Research on resource allocation in ultra dense visible light communication networks based on improved differential evolution method[J]. Laser Journal, 2025, 46(2): 185

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Paper Information

Category:

Received: Jun. 24, 2024

Accepted: Jun. 12, 2025

Published Online: Jun. 12, 2025

The Author Email:

DOI:10.14016/j.cnki.jgzz.2025.02.185

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology