TY - JOUR
T1 - Unified Resource Allocation and Mobility Management Technique Using Particle Swarm Optimization for VLC Networks
AU - Demir, Muhammet Selim
AU - Sait, Sadiq M.
AU - Uysal, Murat
N1 - Funding Information:
Manuscript received May 9, 2018; revised July 31, 2018; accepted August 3, 2018. Date of publication August 7, 2018; date of current version November 15, 2018. The work of M. Uysal was supported by the Turkish Scientific and Research Council under Grant 215E311. Corresponding author: Muhammet Selim Demir (e-mail: [email protected]).
Publisher Copyright:
© 2009-2012 IEEE.
PY - 2018/12
Y1 - 2018/12
N2 - In this paper, we present a unified resource allocation and mobility management algorithm based on particle swarm optimization (PSO) for indoor visible light communication (VLC) networks. We consider a VLC network where multiple LEDs serve as access points (APs). A centralized controller collects channel state information, quality of service requirements of the users, and the overload status of the APs. Based on the available information, in each time interval, the controller decides which user is served by which AP and assigns subcarriers to the users with the objective of maximizing both the system throughput and user satisfaction. We formulate the resource allocation problem as a constrained nonlinear integer programming problem and solve it using meta-heuristic PSO. Through an extensive simulation study, the superiority of the proposed algorithm in terms of system throughput and user satisfaction over round robin, best channel quality information, and genetic algorithms is demonstrated.
AB - In this paper, we present a unified resource allocation and mobility management algorithm based on particle swarm optimization (PSO) for indoor visible light communication (VLC) networks. We consider a VLC network where multiple LEDs serve as access points (APs). A centralized controller collects channel state information, quality of service requirements of the users, and the overload status of the APs. Based on the available information, in each time interval, the controller decides which user is served by which AP and assigns subcarriers to the users with the objective of maximizing both the system throughput and user satisfaction. We formulate the resource allocation problem as a constrained nonlinear integer programming problem and solve it using meta-heuristic PSO. Through an extensive simulation study, the superiority of the proposed algorithm in terms of system throughput and user satisfaction over round robin, best channel quality information, and genetic algorithms is demonstrated.
KW - DCO-OFDM
KW - Visible light communications
KW - mobility management
KW - particle swarm optimization
KW - resource allocation
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U2 - 10.1109/JPHOT.2018.2864139
DO - 10.1109/JPHOT.2018.2864139
M3 - Article
AN - SCOPUS:85051388969
SN - 1943-0655
VL - 10
JO - IEEE Photonics Journal
JF - IEEE Photonics Journal
IS - 6
M1 - 8428395
ER -