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- Title
面向 Massive MIMO 低轨卫星通信系统的 鲁棒高效波束成形设计.
- Authors
刘 洋; 李长青; 李 炯; 武 敏; 冯 璐
- Abstract
This paper focuses on the design of robust beamforming to maximize the energy efficiency of low Earth orbit (LEO) satellite communication systems. Assuming that the LEO satellite antenna architecture adopts the massive multiple-input multiple-output (MIMO) technology, considering the influence of channel state information errors caused by propagation delay and Doppler shift, under the constraints of transmission power and quality of service, a robust energy-efficient beamforming scheme is proposed. Since that there are no explicit expressions for the ergodic user rate and the ergodic signal-to-interference-plus-noise ratio, the approximate values with closed-form expressions are adopted. Then, the semidefinite programming algorithm is used to convert the nonconvex quadratic constrained quadratic programming problem equivalently, and an inner and outer nested iterative algorithm combining quadratic transformation fractional programming and concave-convex procedure is proposed. Finally, a penalty function algorithm is used to handle the rank 1 constraint problem in semidefinite programming algorithm. Simulation results show that the performance of the proposed algorithm is better than that of traditional algorithms, and the robustness is higher.
- Subjects
NONCONVEX programming; TELECOMMUNICATION satellites; FRACTIONAL programming; SEMIDEFINITE programming; DOPPLER effect; QUADRATIC programming
- Publication
Telecommunication Engineering, 2023, Vol 63, Issue 7, p947
- ISSN
1001-893X
- Publication type
Article
- DOI
10.20079/j.issn.1001-893x.220324007