Paper Info
Title
Frequency Resource Management Based On Model Predictive Control For Satellite Communications System
Abstract
We propose an approach to allocate bandwidth for a satellite communications (SATCOM) system that includes the recent high-throughput satellite (HTS) with frequency flexibility. To efficiently operate the system, we manage the limited bandwidth resources available for SATCOM by employing a control method that allows the allocated bandwidths to exceed the communication demand of user terminals per HTS beam. To this end, we consider bandwidth allocation for SATCOM as an optimal control problem. Then, assuming that the model of communication requests is available, we propose an optimal control method by combining model predictive control and sparse optimization. The resulting control method enables the efficient use of the limited bandwidth and reduces the bandwidth loss and number of control actions for the HTS compared to a setup with conventional frequency allocation and no frequency flexibility. Furthermore, the proposed method allows to allocate bandwidth depending on various control objectives and beam priorities by tuning the corresponding weighting matrices. These findings were verified through numerical simulations by using a simple time variation model of the communication requests and predicted aircraft communication demand obtained from the analysis of actual flight tracking data.
Year
DOI
Venue
2018
10.1587/transfun.E101.A.2434
IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES
Keywords
Field
DocType
satellite communications, frequency resource management, model predictive control, sparse optimization
Resource management,Industrial engineering,Model predictive control,Theoretical computer science,Communications satellite,Mathematics
Journal
Volume
Issue
ISSN
E101A
12
1745-1337
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yuma Abe100.68
Hiroyuki Tsuji296.01
Miura, A.3104.92
Shuichi Adachi45612.74