基于多武装土匪的认知无线电决策问题研究

2009 3rd International Conference on Signals, Circuits and Systems (SCS) Pub Date : 2009-11-01 DOI:10.1109/ICSCS.2009.5412697

Wassim Jouini, D. Ernst, C. Moy, J. Palicot

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引用次数: 61

摘要

在本文中，我们提出认知无线电(CR)设备内部的许多与决策相关的问题可以形式化为多武装匪徒问题，并且通过使用上置信度(UCB)算法来解决这些问题可以实现高性能的CR设备。本文报道了这些算法在一个学术认知无线电问题中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-armed bandit based policies for cognitive radio's decision making issues

We suggest in this paper that many problems related to Cognitive Radio's (CR) decision making inside CR equipments can be formalized as Multi-Armed Bandit problems and that solving such problems by using Upper Confidence Bound (UCB) algorithms can lead to high-performance CR devices. An application of these algorithms to an academic Cognitive Radio problem is reported.

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2009 3rd International Conference on Signals, Circuits and Systems (SCS)

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