Energy Consumption Minimization for NOMA-Based Secure UAV-MEC Network  

作　　者：Zhang Hao Huang Yuzhen Zhang Zhi Lu Xingbo 

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China [2]State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China [3]The Academy of Military Sciences of PLA,Beijing 100091,China

出　　处：《China Communications》2025年第3期202-216,共15页中国通信(英文版)

基　　金：supported in part by the National Natural Science Foundation of China under Grant 61971474;in part by the National Natural Science Foundation of China under Grant 62301594;in part by the Special Funds of the National Natural Science Foundation of China under Grant 62341112;in part by the Beijing Nova Program under Grant Z201100006820121;in part by the Beijing Municipal Science and Technology Project under Grant Z181100003218015.

摘　　要：Applying non-orthogonal multiple access(NOMA)to the mobile edge computing(MEC)network supported by unmanned aerial vehicles(UAVs)can improve spectral efficiency and achieve massive user access on the basis of solving computing resource constraints and coverage problems.However,the UAV-enabled network has a serious risk of information leakage on account of the openness of wireless channel.This paper considers a UAV-MEC secure network based on NOMA technology,which aims to minimize the UAV energy consumption.To achieve the purpose while meeting the security and users’latency requirements,we formulate an optimization problem that jointly optimizes the UAV trajectory and the allocation of network resources.Given that the original problem is non-convex and multivariate coupled,we proposed an effective algorithm to decouple the nonconvex problem into independent user relation coefficients and subproblems based on successive convex approximation(SCA)and block coordinate descent(BCD).The simulation results showcase the performance of our optimization scheme across various parameter settings and confirm its superiority over other benchmarks with respect to energy consumption.

关 键 词：MEC NOMA resource optimization secure transmission trajectory optimization UAV 

分 类 号：TN929.5[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]