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Volume 44 Issue 9
Sep.  2022
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LI Yun, ZHANG Bensi, PENG Deyi, XIA Yonghong, XING Zhitong. Robust Beamforming for Layer Division Multiplexing Based on Broadcast and Unicast Transmissions in Satellite-Terrestrial Integrated Networks[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3099-3107. doi: 10.11999/JEIT210838
Citation: LI Yun, ZHANG Bensi, PENG Deyi, XIA Yonghong, XING Zhitong. Robust Beamforming for Layer Division Multiplexing Based on Broadcast and Unicast Transmissions in Satellite-Terrestrial Integrated Networks[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3099-3107. doi: 10.11999/JEIT210838

Robust Beamforming for Layer Division Multiplexing Based on Broadcast and Unicast Transmissions in Satellite-Terrestrial Integrated Networks

doi: 10.11999/JEIT210838
Funds:  The National Natural Science Foundation of China (62071077, 61671096), The Doctoral Program of Chongqing University of Posts and Telecommunications (BYJS201903)
  • Received Date: 2021-08-17
  • Rev Recd Date: 2022-03-17
  • Available Online: 2022-03-28
  • Publish Date: 2022-09-19
  • The Satellite-Terrestrial Integrated Networks (STIN) is able to provide an effective framework to solve the limitation of coverage and spectrum shortage of terrestrial base station for the next generation wireless communication. Considering the performance limitation of downlink broadcast and unicast standalone transmission in STIN, an optimization problem that minimize the transmit power based on Quality of Service (QoS) constraints is established, and a robust joint beamforming transmission scheme based on Layer Division Multiplexing (LDM) is proposed. According to the worst-case criterion, the robust optimization problem with infinite-dimension constraints is transformed into a deterministic optimization form with Linear Matrix Inequality (LMI) by employing S-procedure and Semi-Definite Relaxation (SDR) methods. And then, an iterative algorithm based on penalty function is also proposed to address the original problem. Simulation results show that, the power consumption of the proposed algorithm is about 6 dBm lower than traditional orthogonal Time Division Multiplexing (TDM) transmission scheme, while the cooperative transmission scheme outperforms significantly the non-cooperative ones in terms of the average user rate.
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