基于入场费的空间信息网络最优拥塞控制方案

Chao Guo, Haitao Xu, Zhiyong Yao
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引用次数: 0

摘要

空间信息网络的主要特点是时延长、稳定性低。由于对大数据传输的要求越来越高,拥塞崩溃问题成为人们关注的焦点。本文提出了一种基于最优准入费的拥塞控制算法,使网络的利润最大化。它利用了用户的主动选择性,取代了传统拥塞控制方案的反馈方式。为了区分用户的服务需求,我们将用户的等待成本定义为随机变量。然后基于排队博弈理论建立系统模型,求解出的最优入场费决定了空间信息网络中不同用户的最终拥塞控制方案。仿真结果表明,该方法改善了网络性能,实现了资源的合理分配。
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The Optimal Admission Fee Based Congestion Control Scheme in Space Information Networks
The long delay and low stability are the primary characteristics of space information networks. Due to the increasing requirements for transmitting large amount data, the congestion collapse problem becomes the focus. In this paper, an optimal admission fee based congestion control algorithm is proposed to maximum the profit of the network. Instead of the feedback mode of traditional congestion control scheme, it utilizes the active selectivity of users. So as to differentiate the service demands of users, the waiting cost of a user is defined as a random variable. Then our system model is formulated based on queuing game theory, and the solved optimal admission fee decides the final congestion control scheme for different users in space information networks. The simulation results indicate the improvement of the network performance and the rational allocation of resources.
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