Reinforcement Learning-Based Near-Optimal Load Balancing for Heterogeneous LiFi WiFi Network

Owing to the nonoverlapping spectrum, light fidelity (LiFi) and WiFi technologies can coexist and form a heterogeneous LiFi WiFi network (HLWN). The performance of HLWN significantly depends upon the load balancing strategies. Since load balancing of HLWN is a nonconvex mixed-integer nonlinear progr...

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Vydáno v:	IEEE systems journal Ročník 16; číslo 2; s. 1 - 12
Hlavní autoři:	Ahmad, Rizwana, Soltani, Mohammad Dehghani, Safari, Majid, Srivastava, Anand
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Agglomeration Algorithms Complexity Handover Heterogeneous LiFi WiFi network (HLWN) Interference Light fidelity light fidelity (LiFi) link aggregation (LA) Load balancing load balancing (LB) Machine learning Mixed integer mixed-integer nonlinear programming (MINLP) Nonlinear programming Optimization Orientation effects reinforcement learning (RL) reward shaping Search methods Signal strength Signal to noise ratio Throughput User satisfaction Visible light communication Wireless fidelity
ISSN:	1932-8184, 1937-9234
On-line přístup:	Získat plný text
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