Power and Bandwidth Minimization for Demand-Aware GEO Satellite Systems

被引:1
作者
Abdu, Tedros Salih [1 ]
Kisseleff, Steven [1 ]
Lagunas, Eva [1 ]
Chatzinotas, Symeon [1 ]
机构
[1] Univ Luxembourg, Interdisciplinary Ctr Secur Reliabil & Trust SnT, Luxembourg, Luxembourg
来源
2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2021年
关键词
GEO satellite; Smart radio resource allocation; Demand satisfaction; Bandwidth utilization; Quadratic transform;
D O I
10.1109/GLOBECOM46510.2021.9685889
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smart radio resource allocation combined with the recent advances of digital payloads will allow to control the transmit power and bandwidth of the satellites depending on the demand and the channel conditions of users. The system flexibility is important not only to handle divergent demand requirements but also to efficiently utilize the limited and expensive satellite resources. In this paper, we propose a demand-aware smart radio resource allocation technique, where the transmit power and the bandwidth of the GEO satellite are minimized while satisfying the user demand. The formulated optimization problem is non-convex mixed-integer nonlinear program which is difficult to solve. Hence, we apply a quadratic transform to solve the problem iteratively. The numerical results showed that the proposed scheme outperforms the benchmark schemes in terms of bandwidth utilization while accurately providing capacity-ondemand.
引用
收藏
页数:6
相关论文
共 18 条
  • [1] Abdu T. S., 2020, UEEE INT SYM PERS IN, P1, DOI DOI 10.1109/pimrc48278.2020.9217197
  • [2] [Anonymous], 2019, IEEE AER C
  • [3] [Anonymous], 1995, LMI Control Toolbox For Use With MATLAB
  • [4] Power Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization
    Aravanis, Alexis I.
    Shankar, Bhavani M. R.
    Arapoglou, Pantelis-Daniel
    Danoy, Gregoire
    Cottis, Panayotis G.
    Ottersten, Bjoern
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (06) : 3171 - 3182
  • [5] Optimum power and beam allocation based on traffic demands and channel conditions over satellite downlinks
    Choi, JWP
    Chan, VWS
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2005, 4 (06) : 2983 - 2993
  • [6] Radio Resource Management Optimization of Flexible Satellite Payloads for DVB-S2 Systems
    Cocco, Giuseppe
    de Cola, Tomaso
    Angelone, Martina
    Katona, Zoltan
    Erl, Stefan
    [J]. IEEE TRANSACTIONS ON BROADCASTING, 2018, 64 (02) : 266 - 280
  • [7] Dynamic Power Allocation for Broadband Multi-Beam Satellite Communication Networks
    Destounis, Apostolos
    Panagopoulos, Athanasios D.
    [J]. IEEE COMMUNICATIONS LETTERS, 2011, 15 (04) : 380 - 382
  • [8] Dynamic Energy-Efficient Power Allocation in Multibeam Satellite Systems
    Efrem, Christos N.
    Panagopoulos, Athanasios D.
    [J]. IEEE WIRELESS COMMUNICATIONS LETTERS, 2020, 9 (02) : 228 - 231
  • [9] Grant M., 2009, CVX-Matlab software for disciplinedconvex programming
  • [10] Kisseleff S., 2020, IEEE COMMUN LETT, P1