基于无人机中继的星地认知网络波束成形算法

doi:10.11959/j.issn.1000-0801.2021202

Abstract

Abstract:

Two beamforming (BF) schemes to achieve spectrum sharing by suppressing inter-system interferences in cognitive satellite and terrestrial networks were proposed, where the satellite and UAV cooperative network was used as the secondary network, while the terrestrial network was used as the primary network.Specifically, considering that only the statistical channel state information was available, a constrained optimization problem was formulated to maximize the signal-to- interference-plus-noise ratio of the secondary user under the constraints of the maximum transmit power at the UAV and the interference power of the primary user.Then, an iteration-based BF scheme was proposed to solve the constrained optimization problem.To reduce the computational complexity of the iterative algorithm, a zero-forcing based BF scheme was further proposed.Finally, computer simulations verify the correctness and effectiveness of the proposed BF schemes.

Key words: cognitive satellite and terrestrial network, statistical channel state information, beamforming, ze-ro-forcing

CLC Number:

TN925

Yanli LI, Zhi LIN, Zining WANG, Ba XU, Ming CHENG, Jian OUYANG. Beamforming algorithm for cognitive satellite and terrestrial network based on UAV relay[J]. Telecommunications Science, 2021, 37(8): 27-37.

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References 21

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参数	取值
干扰数	3
中继天线数	8
天线间距离	0.5λ
工作频率f/GHz	18
无人机距离地面距离/m	500
中继站发射功率最大值/ dB	3
主用户干扰功率门限值/dB	-10

Beamforming algorithm for cognitive satellite and terrestrial network based on UAV relay

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