Resource allocation of visible light communication/WiFi hybrid networks based on improved proportional fairness algorithm

2021 ◽  
Author(s):  
Liwei Yang ◽  
Ziyi Huang ◽  
Xiangcheng Yi ◽  
Wenlong Xu
Keyword(s):  
Resource Allocation ◽  
Visible Light ◽  
Visible Light Communication ◽  
Hybrid Networks ◽  
Proportional Fairness

Improved Proportional Fairness Algorithm in Visible Light Communication / WiFi Hybrid Networks

2021 ◽  
Author(s):  
Liwei Yang ◽  
Ziyi Huang ◽  
Xiangcheng Yi ◽  
Haoxu Wang ◽  
Lin Li ◽  
...  
Keyword(s):  
Visible Light ◽  
Visible Light Communication ◽  
Hybrid Networks ◽  
Proportional Fairness

scholarly journals Coordinated Resource Allocation-Based Integrated Visible Light Communication and Positioning Systems for Indoor IoT

2020 ◽  
Vol 19 (7) ◽  
pp. 4671-4684
Author(s):  
Helin Yang ◽  
Wen-De Zhong ◽  
Chen Chen ◽  
Arokiaswami Alphones ◽  
Pengfei Du ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Visible Light ◽  
Visible Light Communication ◽  
Positioning Systems

scholarly journals A Low-Complexity Resource Allocation Algorithm for Indoor Visible Light Communication Ultra-Dense Networks

2019 ◽  
Vol 9 (7) ◽  
pp. 1391 ◽  
Author(s):  
Xiangwei Bai ◽  
Qing Li ◽  
Yanqun Tang
Keyword(s):  
Resource Allocation ◽  
Visible Light ◽  
Complexity Analysis ◽  
Visible Light Communication ◽  
Low Complexity ◽  
System Throughput ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Dense Networks ◽  
Average System

In this paper, a low-complexity multi-cell resource allocation algorithm with a near-optimal system throughput is proposed to resolve the conflict between the high system throughput and low complexity of indoor visible light communication ultra-dense networks (VLC-UDNs). First, by establishing the optimal model of the resource allocation problem in each cell, we concluded that the problem is a convex optimization problem. After this, the analytic formula of the normalized scaling factor of each terminal for resource allocation is derived after reasonable approximate treatment. The resource allocation algorithm is subsequently proposed. Finally, the complexity analysis shows that the proposed algorithm has polynomial complexity, which is lower than the classical optimal inter-point method. The simulation results show that the proposed method achieves a improvement of 57% in performance in terms of the average system throughput and improvement of 67% in performance in terms of the quality of service (QoS) guarantee against the required data rate proportion allocation (RDR-PA) method.

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