Location-Based Downlink Transmission Scheme for IRS-Aided Integrated Satellite-Terrestrial Networks

Xiaoyu Liu, Min Lin, Miaomiao Tan, Huaibo Guo, Jian Ouyang, Tony Q.S. Quek

研究成果: Article同行評審


This paper investigates a location-based downlink transmission scheme to provide diverse services for different users in an integrated satellite-terrestrial network (ISTN). Specifically, the satellite network employs multicast communication to disseminate information to multiple satellite users, while the terrestrial network incorporates non-orthogonal multiple access (NOMA) with intelligent reflecting surface (IRS) technology to serve terrestrial users. Given that the location information-based channel state information (LoI-CSI) of each user is available, we formulate an optimization problem to minimize the outage probability (OP) of the terrestrial network by optimizing the transmit power and beamforming (BF) weight vector at the base station, the IRS phase shift vector, and the power allocation factor, while meeting the quality-of-service (QoS) requirement of the satellite network. To make the optimization problem tractable, we first propose a low-complexity BF algorithm based on the LoI-CSI, which simplifies the optimization problem while guaranteeing the QoS requirement of the satellite network. Then, assuming that terrestrial links experience Rician fading, we derive an approximate yet accurate OP of the terrestrial network, which is explored to calculate the phase shift vector. Furthermore, we propose a novel power allocation method that employs an exponential-type approximation of the first-order Marcum Q-function, to obtain the power allocation coefficient. Finally, simulation results confirm the theoretical formulas' validity and reveal the proposed algorithms' superiority in system performance.

頁(從 - 到)1090-1104
期刊IEEE Transactions on Communications
出版狀態Published - 2024 2月 1

All Science Journal Classification (ASJC) codes

  • 電氣與電子工程


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