Efficient signal design and optimal power allocation for visible light communication attocell systems

2017 ◽  
Vol 56 (32) ◽  
pp. 8959 ◽  
Author(s):  
Zheng-Guo Sun ◽  
Hongyi Yu ◽  
Yi-Jun Zhu
Keyword(s):  
Visible Light ◽  
Power Allocation ◽  
Visible Light Communication ◽  
Optimal Power Allocation ◽  
Signal Design ◽  
Optimal Power

Optimal Power Allocation for Intersatellite Visible Light Communication Based on Nonorthogonal Multiple Access

2021 ◽  
Vol 48 (7) ◽  
pp. 0706002
Author(s):  
郝少伟 Hao Shaowei ◽  
李勇军 Li Yongjun ◽  
赵尚弘 Zhao Shanghong ◽  
宋鑫康 Song Xinkang
Keyword(s):  
Visible Light ◽  
Power Allocation ◽  
Multiple Access ◽  
Visible Light Communication ◽  
Optimal Power Allocation ◽  
Optimal Power

scholarly journals Adaptive Power Allocation Scheme for Mobile NOMA Visible Light Communication System

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 381 ◽  
Author(s):  
Zanyang Dong ◽  
Tao Shang ◽  
Qian Li ◽  
Tang Tang
Keyword(s):  
Visible Light ◽  
Power Allocation ◽  
Visible Light Communication ◽  
Optimal Power Allocation ◽  
Allocation Scheme ◽  
Optimal Power ◽  
Adaptive Power ◽  
Achievable Data Rate ◽  
Fitting Model ◽  
Allocation Factor

Recently, due to its higher spectral efficiency and enhanced user experience, non-orthogonal multiple access (NOMA) has been widely studied in visible light communication (VLC) systems. As a main concern in NOMA-VLC systems, the power allocation scheme greatly affects the tradeoff between the total achievable data rate and user fairness. In this context, our main aim in this work was to find a more balanced power allocation scheme. To this end, an adaptive power allocation scheme based on multi-attribute decision making (MADM), which flexibly chooses between conventional power allocation or inverse power allocation (IPA) and the optimal power allocation factor, has been proposed. The concept of IPA is put forward for the first time and proves to be beneficial to achieving a higher total achievable data rate at the cost of user fairness. Moreover, considering users’ mobility along certain trajectories, we derived a fitting model of the optimal power allocation factor. The feasibility of the proposed adaptive scheme was verified through simulation and the fitting model was approximated to be the sum of three Gaussian functions.

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