Distributed robust beamforming algorithm for spectral coexistence in satellite and high altitude platform networks

A distributed robust beamforming (BF) algorithm was proposed to improve spectrum efficiency for an integrated satellite and high altitude platform (HAP) network.Specifically, for the scenario where satellite network and HAP network adopted multicast and NOMA to serve their respective multiple users,...

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Bibliographic Details
Published inTongxin Xuebao Vol. 44; pp. 39 - 49
Main Authors Zining WANG, Min LIN, Fei LI, Lve HAN, Weiping ZHU
Format Journal Article
LanguageChinese
Published Editorial Department of Journal on Communications 01.12.2023
Subjects
distributed beamforming
imperfect channel state information
imperfect successive interference cancellation
non-orthogonal multiple access
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ISSN1000-436X

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Summary:A distributed robust beamforming (BF) algorithm was proposed to improve spectrum efficiency for an integrated satellite and high altitude platform (HAP) network.Specifically, for the scenario where satellite network and HAP network adopted multicast and NOMA to serve their respective multiple users, an optimization problem was formulated to maximize the sum rate, subject to the rate requirements of both satellite and aerial terminals, and the transmit power budget of satellite and aerial platforms.Then, by considering both the imperfect channel state information (CSI) and the imperfect successive interference cancellation (SIC), S-procedure and sequential convex approximation were adopted to transform the nonconvex problem, and then a distributed BF algorithm using Lagrange duality was proposed to enable the spectral coexistence.Finally, simulation results demonstrate that the proposed algorithm can achieve a similar performance yet at a lower signaling overhead compared with the other existing works.
ISSN:1000-436X