Transmit Power Allocation with Connectivity Probability for Multi-QoS in Cluster Flight Spacecraft Network
Transmit Power Allocation with Connectivity Probability for Multi-QoS in Cluster Flight Spacecraft Network
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DOI：
10.1155/2020/8676835
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发表时间：
2020-02
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影响因子：
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通讯作者：
Jinrong Mo;Shengbo Hu;Tingting Yan;Xiaowei Song;Yanfeng Shi
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作者：
Jinrong Mo;Shengbo Hu;Tingting Yan;Xiaowei Song;Yanfeng Shi
研究了采用CSMA/CA信道接入机制的集群飞行航天器网络中，以最小化接入点平均误包率为目标的发射功率分配问题.首先，建立了基于双星模式的集群飞行航天器网络的节点移动性、节点距离分布和概率邻接矩阵。在此基础上，建立了描述发射功率优化分配策略的优化理论模型，并给出了相应的实现算法。而集群飞行航天器网络系统的误包率最小化问题可以转化为二进制概率邻接矩阵的期望值最大化问题，即，最大化概率邻接矩阵中的非对角元素的和。由于节点距离分布的离散性，采用蒙特卡罗方法求解发射功率分配问题。在网络总发射功率有限、业务负载较低的假设下，仿真分析了节点发射功率对集群飞行航天器网络QoS性能的影响。最后，结果表明，包错误率随着提供的业务负载而增加，但在任何轨道超周期的不同顺序时隙或不同轨道超周期的同一时隙中，包错误率几乎不随相同的业务负载而变化，并且通过最大化概率邻接矩阵中的非对角元素之和，对于集群飞行航天器网络，在任何时隙，对于给定的总网络发射功率，实现了袋差错率最小。
In this paper, we investigate the transmit power allocation problem to minimize the average packet error rate at the access point in the cluster flight spacecraft network, which adopts the CSMA/CA channel access mechanism. First, the node mobility, nodal distance distribution, and probabilistic adjacency matrix were formulated for cluster flight spacecraft network based on twin-satellite mode. Then, the optimization-theoretic model described the optimized transmit power allocation strategy and its implementation algorithm was proposed. And the problem of minimizing the packet error rate of the cluster flight spacecraft network system can be converted into maximizing the expectation of the binary probabilistic adjacency matrix, i.e., maximizing the sum of the nondiagonal elements in the probabilistic adjacency matrix. Due to discreteness of nodal distance distribution, Monte Carlo method was applied to solve the transmit power allocation problem. Yet importantly, the influence of node transmit power on the QoS performance of cluster flight spacecraft network was simulated and analyzed under the assumption of finite overall network transmit power and low traffic load. Finally, the results show that the pocket error rate increases with the provided traffic load, but the pocket error rate hardly changes with the same traffic load in different sequential time slots of any orbital hyperperiod or in the same time slot of different orbital hyperperiods, and by maximizing the sum of the nondiagonal elements in the probabilistic adjacency matrix, the pocket error rate minimum is achieved for a given total network transmit power at any time slot for cluster flight spacecraft network.