7th International Conference on Communications and Networking in China

Research Article

CAPACITY AND LOADING ANALYSIS OF DIGITAL CHANNELIZED SATCOM SYSTEM

  • @INPROCEEDINGS{10.1109/ChinaCom.2012.6417467,
        author={Chunli Liu and Jian Yan and Xiang Chen and Shunliang Mei},
        title={CAPACITY AND LOADING ANALYSIS OF DIGITAL CHANNELIZED SATCOM SYSTEM},
        proceedings={7th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2012},
        month={9},
        keywords={digital channelizer capacity analysis satellite communications},
        doi={10.1109/ChinaCom.2012.6417467}
    }
    
  • Chunli Liu
    Jian Yan
    Xiang Chen
    Shunliang Mei
    Year: 2012
    CAPACITY AND LOADING ANALYSIS OF DIGITAL CHANNELIZED SATCOM SYSTEM
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2012.6417467
Chunli Liu1, Jian Yan1, Xiang Chen1,*, Shunliang Mei1
  • 1: Tsinghua University
*Contact email: chenxiang98@mails.tsinghua.edu.cn

Abstract

Digital channelization techniques are widely used in current frequency division multiple access (FDMA) based satellite communications (SATCOM). In order to acquire a larger capacity and simultaneously satisfy the constraints including limited uplink Effective Isotropic Radiated Power (EIRP) and the minimal receiving Eb/N0 at terminals, a set of parameters including transponder sub-channel gains and uplink EIRP of each transmitting terminal must be determined optimally. Different from the traditional link supportability analysis aiming at minimizing the total transponder output power, a maximal sum Shannon capacity optimization objective is raised subject to the basic link supportability constraints. Further, based on rigorous analysis and derivation, an efficient multilevel optimization (MO) algorithm is proposed to solve the optimization problem. Finally, an example is provided to verify the effectiveness of our proposal. Comparison results between our proposal and previous works show that, by the MO algorithm, not only all links’ supportability can be guaranteed but also a larger sum capacity with the global optimal solution can be achieved.