摘要
Dynamic resource allocation(DRA) is a key technology to improve system performances in GEO multi-beam satellite systems. And, since the cache resource on the satellite is very valuable and limited, DRA problem under restricted cache resources is also an important issue to be studied. This paper mainly investigates the DRA problem of carrier resources under certain cache constraints. What's more, with the aim to satisfy all users' traffic demands as more as possible, and to maximize the utilization of the bandwidth, we formulate a multi-objective optimization problem(MOP) where the satisfaction index and the spectrum efficiency are jointly optimized. A modified strategy SA-NSGAII which combines simulated annealing(SA) and non-dominated sorted genetic algorithm-II(NSGAII) is proposed to approximate the Pareto solution to this MOP problem. Simulation results show the effectiveness of the proposed algorithm in terms of satisfaction index, spectrum efficiency, occupied cache, and etc.
Dynamic resource allocation(DRA) is a key technology to improve system performances in GEO multi-beam satellite systems. And, since the cache resource on the satellite is very valuable and limited, DRA problem under restricted cache resources is also an important issue to be studied. This paper mainly investigates the DRA problem of carrier resources under certain cache constraints. What's more, with the aim to satisfy all users' traffic demands as more as possible, and to maximize the utilization of the bandwidth, we formulate a multi-objective optimization problem(MOP) where the satisfaction index and the spectrum efficiency are jointly optimized. A modified strategy SA-NSGAII which combines simulated annealing(SA) and non-dominated sorted genetic algorithm-II(NSGAII) is proposed to approximate the Pareto solution to this MOP problem. Simulation results show the effectiveness of the proposed algorithm in terms of satisfaction index, spectrum efficiency, occupied cache, and etc.
基金
supported by the National Science and Technology Major Project under Grant 2018ZX03001016
作者简介
The corresponding author:Pei Zhang,is working towards her PhD degree in School of Computer Science,Beijing University of Posts and Telecommunications,China.Her research interests include 5G communication and mobile satellite communication,dynamic resource management,and machine learning,etc.Email:peizhang@bupt.edu.cn;Xiaohui Wang,received the Master degree in computer applications from Beijing University of Posts and Telecommunications.He is a lecturer in Beijing University of Posts and Telecommunications.His research interests are in dynamic resource management,communication networks,and information system architectures,etc;Zhiguo Ma,is the director of Smart Terminal Assessment department of China Telecommunication Technology Labs in China Academy of Information and Communications Technology.His research interests are in machine learning,AI testing technology,etc;Junde Song,is a Professor of School of Computer Science in Beijing University of Posts and Telecommunications,Beijing,China.His research interests are in the wireless communication,service computing,and smart city.
