认知飞蜂窝网络非合作功率控制博弈模型初探

A. F. Isnawati, Risanuri Hidayat, S. Sulistyo, I. Mustika
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引用次数: 0

摘要

带宽的稀缺和频带的使用效率低下促使人们采用认知无线电技术。受绿色无线通信的激励,我们热衷于利用femtocell作为一个低功耗的网络。功率控制是认知飞蜂窝网络中提高网络性能所需要的一种控制方案。本文利用博弈论方法在认知飞蜂窝网络中实现了一种非合作功率控制算法,以提高网络在系统吞吐量、干扰抑制和最优功率分配方面的性能,同时降低低效发射功率。在无线通信中,特别是在认知飞蜂窝网络中,可行的系统是必不可少的。可行性测试的结果是一个非负的功率向量,将作为博弈论中下一个过程相关成本函数实现的参考。
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Preliminary study: Non cooperative power control game model for cognitive femtocell network
Scarcity of bandwidth and usage inefficiency of frequency band encourage of using cognitive radio technology. Being motivated by green wireless communication makes us enthusiasm to utilize femtocell as a network with low power consumption. Power control scheme is one of what we need in cognitive femtocell network to improve network performance. This paper implement a non cooperative power control algorithm using game theoretical approach in cognitive femtocell network to enhance the network performance in systems throughput, interference mitigation, and optimal power allocation while reducing inefficient transmit power. Feasible system is absolutely necessary in wireless communication, especially cognitive femtocell network. The results of the feasibility test, a nonnegative power vector, will be used as the reference for implementation of the next process related cost function in game theory.
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