Multi-Resource Management for Multi-Tier Space Information Networks: A Cooperative Game

Xinru Mi, Chungang Yang, Zheng Chang
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引用次数: 2

Abstract

With the drastic increase of space information network (SIN) traffic and the diversity of network traffic types, the optimal allocation of the scarce network resources is of great significance for optimizing the SIN system capability. In this paper, we propose a multi-resource management method for multi-tier SIN using the cooperative Nash bargaining solution. Since the original problem is a non-convex problem, we firstly make logarithmic transition, and then find a tightest lower bound function to convert the initial problem into a convex one. In order to carry out the optimal bandwidth and power allocation in SIN, we construct a joint bandwidth and power allocation (JBPA) algorithm. Simulation results show the performance improvement of the JBPA scheme and the convergence of JBPA algorithm.
多层空间信息网络的多资源管理:一种合作博弈
随着空间信息网络(SIN)流量的急剧增加和网络流量类型的多样化,稀缺网络资源的优化配置对于优化空间信息网络系统的性能具有重要意义。在本文中,我们提出了一种基于合作纳什议价的多层自适应系统的多资源管理方法。由于原问题是一个非凸问题,我们首先进行对数跃迁,然后找到一个最紧的下界函数将原问题转化为凸问题。为了在sins中实现最优的带宽和功率分配,我们构造了一种联合带宽和功率分配(JBPA)算法。仿真结果表明了JBPA方案的性能改进和JBPA算法的收敛性。
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