基于中断概率的星地网络鲁棒功率控制算法

doi:10.19678/j.issn.1000-3428.0059553

摘要/Abstract

摘要： 相较于传统的地面认知网络，星地认知网络链路传输时延较长，因此基于实时信道感知的认知用户中断概率较高。以离散时间马尔科夫链描述授权用户的动态及衰落信道，同时考虑信道转移概率的不确定性，建立基于似然不确定性模型的信道状态马尔科夫链，利用鲁棒的向后递归方法得到离线存储的功率分配矩阵，并对网络中多个用户采用博弈论的方法，进而提出基于中断概率的功率控制算法。仿真结果表明，与RRAP和TS-RS-PA算法相比，该算法在网络延迟存在的情况下能够更有效地降低中断概率并节约能耗。

关键词: 卫星通信, 星地网络, 认知无线电, 马尔科夫链, 功率控制, 中断概率

Abstract: Compared with traditional ground-based cognitive network,satellite-ground cognitive network suffer from a longer transmission delay of links,which increases the probability of interruption of cognitive users based on real-time channel perception.To address the problem,the discrete time Markov chain is used to describe the dynamic and fading channels of authorized users.Considering the uncertainty of the channel transition probability,a channel state Markov chain is constructed based on the likelihood uncertainty model.Then the robustness of backward recursive method is used to obtain the power allocation matrix of offline storage.Finally,the method of game theory is used for multiple users in the network.On this basis,a power control algorithm based on outage probability is put forward considering energy consumption.Simulation results show that the proposed algorithm can effectively reduce the probability of interruption in the presence of network delay,and has a good performance in energy saving.

Key words: satellite communication, satellite-ground network, cognitive radio, Markov chain, power control, outage probability

中图分类号:

TN927

陈威龙, 梁俊, 肖楠, 郭子桢. 基于中断概率的星地网络鲁棒功率控制算法[J]. 计算机工程, 2021, 47(11): 214-219,226.

CHEN Weilong, LIANG Jun, XIAO Nan, GUO Zizhen. Robust Power Control Algorithm for Satellite-Ground Network Based on Outage Probability[J]. Computer Engineering, 2021, 47(11): 214-219,226.

https://www.ecice06.com/CN/Y2021/V47/I11/214

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