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作 者:Guangfu Wu Wenyi Zheng Wei Xiong Yun Li Hongcheng Zhuang Xin Tan
机构地区:[1]School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing,400065,China [2]Chongqing Municipal Housing Provident Fund Administration Center,Chongqing,401121,China [3]Chongqing Key Laboratory of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,Chongqing,400065,China [4]Huawei Technologies Co,Ltd.,Shenzhen,518129,China
出 处:《Digital Communications and Networks》2021年第4期580-588,共9页数字通信与网络(英文版)
基 金:supported in part by the Science and Technology Research Program of the National Science Foundation of China(61671096);Chongqing Research Program of Basic Science and Frontier Technology(cstc2017jcyjBX0005);Chongqing Municipal Education Commission(KJQN201800642);Doctoral Student Training Program(BYJS2016009).
摘 要:For future wireless communication systems,Power Domain Non-Orthogonal Multiple Access(PD-NOMA)using an advanced receiver has been considered as a promising radio access technology candidate.Power allocation plays an important role in the PD-NOMA system because it considerably affects the total throughput and Geometric Mean User Throughput(GMUT)performance.However,most existing studies have not completely accounted for the computational complexity of the power allocation process when the User Terminals(UTs)move in a slow fading channel environment.To resolve such problems,a power allocation method is proposed to considerably reduce the search space of a Full Search Power(FSP)allocation algorithm.The initial power reallocation coefficients will be set to start with former optimal values by the proposed Lemma before searching for optimal power reallocation coefficients based on total throughput performance.Step size and correction granularity will be adjusted within a much narrower power search range while invalid power combinations may be reasonably discarded during the search process.The simulation results show that the proposed power reallocation scheme can greatly reduce computational complexity while the total throughput and GMUT performance loss are not greater than 1.5%compared with the FSP algorithm.
关 键 词:NOMA Power allocation Slow fading channel Low computational complexity
分 类 号:TN929.5[电子电信—通信与信息系统]
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