In this paper, we investigate the transmit power allocation problem to minimize the average packet error rate at the access point in\nthe cluster flight spacecraft network, which adopts the CSMA/CA channel access mechanism. First, the node mobility, nodal\ndistance distribution, and probabilistic adjacency matrix were formulated for cluster flight spacecraft network based on twinsatellite\nmode. Then, the optimization-theoretic model described the optimized transmit power allocation strategy and its\nimplementation algorithm was proposed. And the problem of minimizing the packet error rate of the cluster flight spacecraft\nnetwork system can be converted into maximizing the expectation of the binary probabilistic adjacency matrix, i.e., maximizing\nthe sum of the nondiagonal elements in the probabilistic adjacency matrix. Due to discreteness of nodal distance distribution,\nMonte Carlo method was applied to solve the transmit power allocation problem. Yet importantly, the influence of node transmit\npower on the QoS performance of cluster flight spacecraft network was simulated and analyzed under the assumption of finite\noverall network transmit power and low traffic load. Finally, the results show that the pocket error rate increases with the provided\ntraffic load, but the pocket error rate hardly changes with the same traffic load in different sequential time slots of any orbital\nhyperperiod or in the same time slot of different orbital hyperperiods, and by maximizing the sum of the nondiagonal elements in\nthe probabilistic adjacency matrix, the pocket error rate minimum is achieved for a given total network transmit power at any time\nslot for cluster flight spacecraft network.
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