Development of low-complexity MLE method for image-sensor-based visible light communication

2016 ◽  
Author(s):  
Yuki Ohira ◽  
Tomohiro Yendo ◽  
Shintaro Arai
Keyword(s):  
Visible Light ◽  
Visible Light Communication ◽  
Low Complexity ◽  
Image Sensor

Visible-light communication using high-power LED panel-lamp and low-complexity MOSFET circuit

2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Huamao Huang ◽  
Tianxiang Lan ◽  
Cheng Huang ◽  
Chao Wang ◽  
Chukun Huang ◽  
...  
Keyword(s):  
Visible Light ◽  
High Power ◽  
Visible Light Communication ◽  
Low Complexity ◽  
High Power Led

750 Mb/s monochromatic LED-based real-time visible light communication system employing a low-complexity cascaded post-equalizer

2016 ◽  
Vol 14 (12) ◽  
pp. 120604-120608 ◽  
Author(s):  
Jiabin Luo Jiabin Luo ◽  
Yi Tang Yi Tang ◽  
Huiping Jia Huiping Jia ◽  
Qingwei Zhu Qingwei Zhu ◽  
and Wei Xue唯 薛 and Wei Xue唯 薛
Keyword(s):  
Visible Light ◽  
Real Time ◽  
Communication System ◽  
Visible Light Communication ◽  
Low Complexity

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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