文献类型：期刊文献

英文题名：Robust Resource Allocation for Integrated Satellite-Terrestrial Communication Systems With Eavesdroppers

作者：Zhang, Haibo[1];Dou, Shengting[1];Xu, Yongjun[1];Li, Xingwang[2];Chen, Xiaoming[3];Yang, Liang[4];Li, Lin[5]

第一作者：Zhang, Haibo

通讯作者：Xu, YJ[1]

机构：[1]Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China;[2]Henan Polytech Univ, Sch Phys & Elect Informat Engn, Jiaozuo 454000, Peoples R China;[3]Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China;[4]Hunan Univ, Coll Comp Sci & Elect Engn, Changsha 410082, Peoples R China;[5]Beijing Union Univ, Coll Appl Sci Technol, Beijing 100101, Peoples R China

第一机构：Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China

通讯机构：[1]corresponding author), Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China.

年份：2026

卷号：13

期号：1

起止页码：13-23

外文期刊名：IEEE INTERNET OF THINGS JOURNAL

收录：;EI(收录号：20250817919377);Scopus(收录号：2-s2.0-85218152172);WOS:【SCI-EXPANDED(收录号:WOS:001648577200030)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62271094, Grant U23A20279, and Grant U21A20448; in part by the Natural Science Foundation of Chongqing under Grant CSTB2022NSCQ-LZX0009 and Grant CSTB2023NSCQLZX0079; and in part by the Scientific and Technological Research Program of Chongqing Municipal Education Commission under Grant KJZD-K202200601.

语种：英文

外文关键词：Satellites; Array signal processing; Space-air-ground integrated networks; Security; Channel estimation; Resource management; Quality of service; Optimization; Internet of Things; Interference; Integrated satellite-terrestrial communication systems; resource allocation (RA); robustness; security

摘要：To solve the problems of low system security and poor transmission quality in integrated satellite-terrestrial communication systems due to eavesdroppers and channel uncertainties, a robust resource allocation (RA) problem is studied. First, considering the constraints of users' quality of service, the maximum transmit power of the satellite and the base station (BS), and the bounded channel uncertainties, an RA optimization problem is established by jointly optimizing the beamforming vectors, artificial noise (AN) vectors, and power allocation factors. Then, S-Procedure, successive convex approximation (SCA), and alternating optimization are adopted to convert the nonconvex problem with parameter perturbation into a convex one that can be solved efficiently. Finally, a robust RA algorithm based on the alternating approach is proposed to obtain the solutions. Simulation results show that the proposed algorithm has good security and robustness, and the outage probability is reduced by 9.12% compared to the traditional nonrobust algorithms without AN.