Title
Iterative Optimization THP for Multiple Multi-beam Satellites High-Throughput Communication System
Abstract
As the demand for high data capacity steadily increases, high-throughput satellites based on frequency reuse are becoming the focus of future research. Under the circumstance, it is attractive that multiple multi-beam satellites with wide coverage serving the same area simultaneously can improve the system throughput by transmitting more data streams to covered terminals. However, the increased inter-beam interference become the major obstacle for increasing the overall system throughput. Considering that beamforming techniques will increase satellite complexity and linear precoding techniques will significantly amplifies noise, this paper focuses on the Tomlinson-Harashima precoding (THP) with a balanced performance and complexity in nonlinear precoding to mitigate inter-beam interference. Utilizing the feature that the performance of THP related to the ordering of data streams, this paper proposes a novel iterative optimization THP (IO-THP) based on iterative structure without modifying the existing THP structure. Based on the existing multi-branch THP (MB-THP), IO-THP configures the optimal transmission mode for each terminal through sorting and scheme selection strategies and iterative structure to obtain the optimal ordering of data streams. In addition, this paper develops IO-cTHP and IO-dTHP for two basic THP structures. The first one places the diagonal weighted filters at the terminals to reduce the amplification for noise and the second places the diagonal weighted filter at the base station to simplify terminals. Simulation results show IO-THP possess 4dB gain relative to MB-THP and more than 10 dB gain relative to conventional ZF, MMSE and THP.
Year
DOI
Venue
2021
10.1109/WCNC49053.2021.9417555
2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
Keywords
DocType
ISSN
Multiple multi-beam satellites, Tomlinson-Harashima precoding (THP), iterative optimization (IO)
Conference
1525-3511
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Donghang Lv100.34
Ke Wang212.05
Zhong-liang Deng36928.85
WenLiang Lin411.03
Yun Liu502.03