Downlink beamforming scheme for hybrid satellite–terrestrial networks

• Published in: IET communications Vol. 12; no. 18; pp. 2342 - 2346
• Main Authors: Jiang, Yang-Wei, Ouyang, Jian, Yin, Chun-Yan, Xu, Zhao-Ye, Tao, Xiang-Shuai, Lou, Li
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 20.11.2018
• Subjects: analytical downlink BF weight vectors; array signal processing; base station; constrained optimisation problem; downlink beamforming scheme; downlink transmission; duality (mathematics); hybrid satellite–terrestrial network; interference constraint; iterative algorithm; iterative methods; mean square error methods; minimal quality‐of‐service maximization; minimum mean square error; optimal BF weight vectors; optimisation; power coefficients; quality of service; Research Article; satellite communication; signal‐to‐leakage‐and‐noise ratio; transmit power budget; uplink–downlink duality theory; iterative methods; hybrid satellite–terrestrial network; transmit power budget; minimum mean square error; constrained optimisation problem; signal-to-leakage-and-noise ratio; quality of service; downlink beamforming scheme; uplink–downlink duality theory; iterative algorithm; optimal BF weight vectors; optimisation; satellite communication; analytical downlink BF weight vectors; downlink transmission; interference constraint; minimal quality-of-service maximization; duality (mathematics); power coefficients; mean square error methods; base station; array signal processing
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2018.5313

Here, the authors propose a beamforming (BF) scheme for the downlink transmission of a hybrid satellite–terrestrial network. The authors first formulate a constrained optimisation problem to maximise the minimal quality-of-service of the terrestrial users subject to the interference constraint of the satellite user and the transmit power budget of the base station (BS). Then, by using the uplink–downlink duality theory, the authors design an iterative algorithm to obtain the optimal BF weight vectors as well as the corresponding power coefficients of the considered system. Furthermore, the analytical downlink BF weight vectors are obtained through the equivalence between signal-to-leakage-and-noise ratio and minimum mean square error. Simulation results are provided to demonstrate the effectiveness of the proposed BF method.