Radio Resource Management Techniques for Multibeam Satellite Systems

被引:47
|
作者
Kisseleff, Steven [1 ]
Lagunas, Eva [1 ]
Abdu, Tedros Salih [1 ]
Chatzinotas, Symeon [1 ]
Ottersten, Bjorn [1 ]
机构
[1] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust SnT, L-1855 Esch Sur Alzette, Luxembourg
关键词
Satellite broadcasting; Resource management; Precoding; Optimization; Interference; Signal to noise ratio; Multiplexing; UHTS; radio resource management; multibeam satellites; carrier assignment; scheduling;
D O I
10.1109/LCOMM.2020.3033357
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Next-generation of satellite communication (SatCom) networks are expected to support extremely high data rates for a seamless integration into future large satellite-terrestrial networks. In view of the coming spectral limitations, the main challenge is to reduce the cost (satellite launch and operation) per bit, which can be achieved by enhancing the spectral efficiencies. In addition, the capability to quickly and flexibly assign radio resources according to the traffic demand distribution has become a must for future multibeam broadband satellite systems. This letter presents the radio resource management problems encountered in the design of future broadband SatComs and provides a comprehensive overview of the available techniques to address such challenges. Firstly, we focus on the demand-matching formulation of the power and bandwidth assignment. Secondly, we present the scheduling design in practical multibeam satellite systems. Finally, a number of future challenges and the respective open research topics are described.
引用
收藏
页码:2448 / 2452
页数:5
相关论文
共 50 条
  • [1] Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
    Ortiz-Gomez, Flor G.
    Lei, Lei
    Lagunas, Eva
    Martinez, Ramon
    Tarchi, Daniele
    Querol, Jorge
    Salas-Natera, Miguel A.
    Chatzinotas, Symeon
    ELECTRONICS, 2022, 11 (07)
  • [2] Radio Resource Management Techniques for High Throughput Satellite Communication Systems
    Dimitrov, Svilen
    Erl, Stefan
    Barth, Benjamin
    Jaeckel, Stephan
    Kyrgiazos, Argyrios
    Evans, Barry G.
    2015 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC), 2015, : 175 - 179
  • [3] Adaptive radio resource allocation for a mobile packet service in multibeam satellite systems
    Lim, K
    Kim, S
    Lee, HJ
    ETRI JOURNAL, 2005, 27 (01) : 43 - 52
  • [4] Downlink radio resource allocation for multibeam satellite communications
    Lim, K
    Kim, S
    ELECTRONICS LETTERS, 2003, 39 (11) : 871 - 872
  • [5] Dynamic Resource Allocation for Multibeam Satellite Communication Systems
    Zhang, Siya
    Chai, Rong
    Liang, Chengchao
    Chen, Qianbin
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (22): : 36907 - 36921
  • [6] Robust Precoding Techniques for Multibeam Mobile Satellite Systems
    Joroughi, Vahid
    Shankar, Bhavani M. R.
    Maleki, Sina
    Chatzinotas, Symeon
    Grotz, Joel
    Ottersten, Bjorn
    2019 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2019,
  • [7] RESOURCE MANAGEMENT IN THE MULTIBEAM NOMA-BASED SATELLITE DOWNLINK
    Ramirez, Tomas
    Mosquera, Carlos
    2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2020, : 8812 - 8816
  • [8] Multidimensional Resource Management Algorithm for a Multibeam EHF Satellite System
    Mukherjee, Sandeep
    Cianca, Ernestina
    De Sanctis, Mauro
    Rossi, Tommaso
    Stallo, Cosimo
    Ruggieri, Marina
    Prasad, Ramjee
    2014 IEEE AEROSPACE CONFERENCE, 2014,
  • [9] Resource allocation in high throughput multibeam communication satellite systems
    Wang Lei
    Zheng Jun
    He Chuan
    Yan Xuefei
    CHINESE SPACE SCIENCE AND TECHNOLOGY, 2021, 41 (05) : 85 - 94
  • [10] Resource Allocation of Multibeam Communication Satellite Systems in Sparse Networks
    Deng, Boyu
    Jiang, Chunxiao
    Kuang, Linling
    Ge, Ning
    Guo, Song
    Zhao, Shanghong
    ICC 2019 - 2019 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2019,