Capacity and Quality Enhancement using an Adaptive Resource Allocation for Multi-beam Mobile Satellite Communication Systems

被引:0
|
作者
Nakahira, Katsuya [1 ]
Kobayashi, Kiyoshi [1 ]
Ueba, Masazumi [1 ]
机构
[1] NTT Corp, NTT Access Network Serv Syst Labs, Yokosuka, Kanagawa 2390847, Japan
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
To obtain large capacity, high quality future mobile satellite communication systems, we must use a multi-beam that has extremely high levels of frequency reuse. This paper describes a novel resource allocation scheme for multi-beam satellite communication systems that can dynamically offer maximum communication capacity without compromising quality. The scheme optimizes the frequency bandwidth, satellite transmission power, modulation level, and coding rate to each beam to deal with the ever-changing user distribution and inter-beam interference conditions. First, to minimize interference, we clarified the optimal constraint conditions when all clusters share the same bandwidth, while consuming the system bandwidth. We then used them as constraints in the optimization algorithm that allocates resources to each beam. Second, to manage the various needed resources and adapt them to the beam gain and interference levels at user locations, we propose two schemes for allocating resources within a beam. As a result, although both schemes were able to accommodate the same number of users, the fixed power with adaptive modulation secured a more stable communication quality. This means that our scheme can satisfactorily allocate multi-beam satellite resources, while increasing communication capacity and improving quality.
引用
收藏
页码:153 / 158
页数:6
相关论文
共 50 条
  • [21] Traffic Demand Matching-based Dynamic Resource Allocation Algorithm for Multi-Beam Satellite Systems
    Liu, Lei
    Chai, Rong
    Yang, Guorong
    2023 IEEE 98TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2023-FALL, 2023,
  • [22] User-Level Scheduling and Resource Allocation for Multi-Beam Satellite Systems with Full Frequency Reuse
    Tao Leng
    Yanan Wang
    Dongwei Hu
    Gaofeng Cui
    Weidong Wang
    ChinaCommunications, 2022, 19 (06) : 179 - 192
  • [23] Sequential dynamic resource allocation in multi-beam satellite systems:A learning-based optimization method
    Yixin HUANG
    Shufan WU
    Zhankui ZENG
    Zeyu KANG
    Zhongcheng MU
    Hai HUANG
    Chinese Journal of Aeronautics, 2023, 36 (06) : 288 - 301
  • [24] Sequential dynamic resource allocation in multi-beam satellite systems: A learning-based optimization method
    Huang, Yixin
    Wu, Shufan
    Zeng, Zhankui
    Kang, Zeyu
    Mu, Zhongcheng
    Huang, Hai
    CHINESE JOURNAL OF AERONAUTICS, 2023, 36 (06) : 288 - 301
  • [25] Sequential dynamic resource allocation in multi-beam satellite systems:A learning-based optimization method
    Yixin HUANG
    Shufan WU
    Zhankui ZENG
    Zeyu KANG
    Zhongcheng MU
    Hai HUANG
    Chinese Journal of Aeronautics, 2023, (06) : 288 - 301
  • [26] Multi-Dimensional Resource Allocation for Covert Communications in Multi-Beam Low-Earth-Orbit Satellite Systems
    Wang, Renge
    Chen, Minghao
    Xu, Luyan
    Wen, Zhong
    Wei, Yiyang
    Li, Shice
    ELECTRONICS, 2024, 13 (17)
  • [27] Efficient Resource Allocation for Beam-Hopping-Based Multi-Satellite Communication Systems
    Wang, Yingjie
    Zeng, Ming
    Fei, Zesong
    ELECTRONICS, 2023, 12 (11)
  • [28] Joint Optimization of Satisfaction Index and Spectrum Efficiency with Cache Restricted for Resource Allocation in Multi-Beam Satellite Systems
    Zhang, Pei
    Wang, Xiaohui
    Ma, Zhiguo
    Song, Junde
    CHINA COMMUNICATIONS, 2019, 16 (02) : 189 - 201
  • [29] Joint Optimization of Satisfaction Index and Spectrum Efficiency with Cache Restricted for Resource Allocation in Multi-Beam Satellite Systems
    Pei Zhang
    Xiaohui Wang
    Zhiguo Ma
    Junde Song
    中国通信, 2019, 16 (02) : 189 - 201
  • [30] Diverse User Service Requirement-Oriented Dynamic Resource Allocation Algorithm for Multi-Beam Satellite Systems
    Chai, Rong
    Liu, Lei
    Liang, Cheng-Chao
    Chen, Qian-Bin
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2024, 52 (07): : 2438 - 2448