@Article{cmc.2020.011822,
AUTHOR = {Jianzhong Li, DexiangMei, Dong Deng, Imran Khan, Peerapong Uthansakul},
TITLE = {Proportional Fairness-Based Power Allocation Algorithm for  Downlink NOMA 5G Wireless Networks},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {2},
PAGES = {1571--1590},
URL = {http://www.techscience.com/cmc/v65n2/39894},
ISSN = {1546-2226},
ABSTRACT = {Non-orthogonal multiple access (NOMA) is one of the key 5G technology 
which can improve spectrum efficiency and increase the number of user connections by 
utilizing the resources in a non-orthogonal manner. NOMA allows multiple terminals to 
share the same resource unit at the same time. The receiver usually needs to configure 
successive interference cancellation (SIC). The receiver eliminates co-channel 
interference (CCI) between users and it can significantly improve the system throughput. 
In order to meet the demands of users and improve fairness among them, this paper 
proposes a new power allocation scheme. The objective is to maximize user fairness by 
deploying the least fairness in multiplexed users. However, the objective function 
obtained is non-convex which is converted into convex form by utilizing the optimal 
Karush-Kuhn-Tucker (KKT) constraints. Simulation results show that the proposed 
power allocation scheme gives better performance than the existing schemes which 
indicates the effectiveness of the proposed scheme.},
DOI = {10.32604/cmc.2020.011822}
}