Low-complexity group precoding in multi-beam satellite systems

被引:0
|
作者
Wang, Yang [1 ]
Zhao, Danfeng [1 ]
Liao, Xi [1 ]
机构
[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin,150001, China
关键词
Communication satellites - Signal to noise ratio - Satellite communication systems;
D O I
10.11918/j.issn.0367-6234.2015.03.013
中图分类号
学科分类号
摘要
The lattice reduction aided Tomlinson-Harashima precoding (LRA-THP) is computationally intensive. In order to reduce the computational complexity, a low-complexity group precoding algorithm is proposed for multi-beam satellite systems based on an existing group precoding algorithm. Users are split into groups according to the distance between beams in the proposed algorithm. Then, preprocessing matrix is obtained by maximizing the successive signal-to-leakage-plus-noise ratio (SSLNR) to suppress the inter-group interference. The LRA-THP is applied in each group. The characteristic of the multi-beam satellite channel is exploited to reduce the dimension of the preprocessing matrix which results in computational complexity reduction. Simulation results show that the complexity of the proposed algorithm is much less than that of the LRA-THP. Furthermore, the proposed algorithm reduces the complexity over the existing group precoding algorithm by 24% while limiting the performance loss to 0.1 dB. In addition, the proposed algorithm can provide a flexible tradeoff between the performance and complexity. ©, 2015, Harbin Institute of Technology. All right reserved.
引用
收藏
页码:77 / 82
相关论文
共 50 条
  • [41] Carrier Aggregation in Multi-Beam High Throughput Satellite Systems
    Kibria, Mirza Golam
    Lagunas, Eva
    Maturo, Nicola
    Spano, Danilo
    Al-Hraishawi, Hayder
    Chatzinotas, Symeon
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [42] User Scheduling for Large Multi-beam Satellite MIMO Systems
    Boussemart, Vincent
    Berioli, Matteo
    Rossetto, Francesco
    2011 CONFERENCE RECORD OF THE FORTY-FIFTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS (ASILOMAR), 2011, : 1800 - 1804
  • [43] Offered Capacity Optimization Mechanisms for Multi-beam Satellite Systems
    Alegre-Godoy, R.
    Alagha, N.
    Vazquez-Castro, M. A.
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [44] System modeling and precoding design for multi-beam dual-polarized satellite MIMO system
    Kai T.
    Xiaoyun S.
    Yang W.
    Li J.
    Recent Patents on Engineering, 2019, 13 (04) : 374 - 381
  • [45] Low-Complexity Switching Network Design for Hybrid Precoding in mmWave MIMO Systems
    Molina, Francesc
    Borras, Jordi
    2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2019,
  • [46] Low-Complexity LSQR-Based Linear Precoding for Massive MIMO Systems
    Xie, Tian
    Lu, Zhaohua
    Han, Qian
    Quan, Jinguo
    Wang, Bichai
    2015 IEEE 82ND VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2015,
  • [47] Low-Complexity Precoding for Sum Rate Maximization in Downlink Massive MIMO Systems
    Nguyen, Hieu V.
    Van-Dinh Nguyen
    Shin, Oh-Soon
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2017, 6 (02) : 186 - 189
  • [48] A low-complexity precoding scheme for PAPR reduction in SC-FDMA systems
    Chen, Guoliang
    Song, S. H.
    Ben Letaief, Khaled
    2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2011, : 1358 - 1362
  • [49] Low-Complexity Linear Precoding for Downlink Large-Scale MIMO Systems
    Zarei, Shahram
    Gerstacker, Wolfgang
    Mueller, Ralf R.
    Schober, Robert
    2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 1119 - 1124
  • [50] Design of Low-Complexity Vector Perturbation Precoding Technique for Multiuser MIMO Systems
    Yang, Jingwen
    Wang, Xiangyang
    Chen, Shuo
    Zhong, Zhongyuan
    2016 8TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS & SIGNAL PROCESSING (WCSP), 2016,