基于自适应天线阵列干扰减缓分集的分散式“好邻居”DSA:有限数量的数据影响

2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications Pub Date : 2010-06-09 DOI:10.1109/ICASSP.2010.5496067

A. M. Kuzminskiy, Y. Abramovich

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引用次数: 2

摘要

分散动态频谱分配(DSA)利用接收机的自适应天线阵列干扰缓解(IM)分集，解决了有限数量的数据频谱感知效应。该系统基于频谱高效滤波器组多载波(FBMC) PHY，由基站(BSs)组成，这些基站使用“好邻居”规则调节策略来优化上行频率分配给其用户站(ss)，以实现IM对有用信号的最小影响。提出了一种频谱感知协议，并采用半解析马尔可夫链方法对低维网络和高维频谱共享系统的DSA效率进行了研究。

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Decentralized “good neighbor” DSA based on adaptive antenna array interference mitigation diversity: Finite amount of data effects

Finite amount of data spectrum sensing effects are addressed in decentralized dynamic spectrum allocation (DSA) that exploits adaptive antenna array interference mitigation (IM) diversity at the receiver. The system is based on spectrally efficient filter bank multi-carrier (FBMC) PHY and consists of base stations (BSs) that use a “good neighbor” rule-regulated strategy to optimize uplink frequency allocation to their subscriber stations (SSs) to achieve the least impact of IM on the useful signal. A spectrum sensing protocol is proposed and DSA efficiency is studied by means of semi-analytical Markov chain approach for low-dimension networks and statistical simulations for higher-dimension spectrum sharing systems.

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2010 Proceedings of the Fifth International Conference on Cognitive Radio Oriented Wireless Networks and Communications

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