摘要
为了提高传输的灵活性和应对应急通信的场景,提出了一种基于无人机辅助的非正交多址接入系统用户分组与功率分配联合优化算法。考虑基站最大发射功率约束与用户分组约束,构建了NOMA多用户和速率最大化的资源分配问题。为了解决该非凸问题,基于图论提出了最大割定理下的用户分组算法,实现了组内用户与无人机的相对距离最小。基于分组结果,利用辅助变量法,将原非凸功率分配子问题转化为凸优化问题求解。仿真结果表明,所提算法具有较好的和速率性能。
To improve the transmission flexibility of emergency communication scenarios,a joint user grouping and power allocation algorithm was proposed for UAV-aided non-orthogonal multiple access(NOMA)system.A sum-rate maximization resource allocation algorithm was formulated under the constraints of the maximum transmit power and the user grouping.To solve the non-convex problem,a graph-based user grouping algorithm was proposed to minimize the relative distance between the UAV and users.Based on the grouping result,the power allocation sub-problem was transformed into a convex one by using the auxiliary-variable approach.Simulation results demonstrate that the proposed algorithm has better performance in terms of sum rates.
作者
李国权
林金朝
徐勇军
黄正文
刘挺
LI Guoquan;LIN Jinzhao;XU Yongjun;HUANG Zhengwen;LIU Ting(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology,Chongqing 400065,China;Shaanxi Key Laboratory of Information Communication Network and Security,Xi’an University of Posts&Telecommunications,Xi’an 710121,China;Department of Electronic and Computer Engineering,Brunel University,London UB83PH,UK)
出处
《通信学报》
EI
CSCD
北大核心
2020年第9期21-28,共8页
Journal on Communications
基金
国家重点研发计划基金资助项目(No.2019YFC1511300)
重庆市自然科学基金资助项目(No.cstc2019jcyj-msxmX0666,No.cstc2019jcyj-xfkxX0002)
陕西省信息通信网络及安全重点实验室开放课题基金资助项目(No.ICNS201904)。
