In this paper, a linear precoding scheme is proposed to maximize the total throughput of a broadband geostationary earth orbit (GEO) satellite system based on traffic demands. The weighted max-min fair (WMMF) problem under the per-antenna power constraints and the traffic demands constraints is investigated to achieve this purpose. Semidefinite relaxation (SDR) approach and bisection search method are jointly adopted to solve the corresponding related problem, and then Gaussian randomization and a power control problem are proposed to get a suboptimal solution of the WMMF problem. Different traffic demands scenarios and weighted values selection schemes are considered to analyze the impact of them on the precoding design. Simulation results demonstrate that the total performance of the proposed scheme has been improved significantly over the traditional schemes and is better than the rate balance scheme.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Weighted Fair Precoding Based on Traffic Demands for Multibeam Satellite Systems


    Contributors:
    Luo, Zhengwei (author) / Yang, Dewei (author) / Wang, Hua (author) / Kuang, Jingming (author)


    Publication date :

    2019-09-01


    Size :

    247443 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    EFFECTS OF CHANNEL PHASE IN MULTIBEAM MULTICAST SATELLITE PRECODING SYSTEMS

    Artiga, Xavier / Vazquez, Miguel Angel | TIBKAT | 2021


    COORDINATED PRECODING TECHNIQUE FOR COEXISTENCE MULTIBEAM SATELLITE SYSTEMS (AIAA 2016-5730)

    Joroughi, Vahid / Mosquera, Carlos | British Library Conference Proceedings | 2016



    On-Board Precoding in a Multiple Gateway Multibeam Satellite System

    Joroughi, Vahid / Shankar, M.R. Bhavani / Maleki, Sina et al. | IEEE | 2018