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Model-Free Adaptive Rate Selection in Cognitive Radio Links

  • Álvaro Gonzalo-Ayuso
  • Jesús Pérez
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 125)

Abstract

In this work we address the rate adaptation problem of a cognitive radio (CR) link in time-variant fading channels. Every time the primary users (PU) liberate the channel, the secondary user (SU) selects a transmission rate (from a finite number of available rates) and begins the transmission of fixed sized packets until a licensed user reclaims the channel back. After each transmission episode the number of successfully transmitted packets is used by the SU to update its optimal rate selection ahead of the next episode. The problem is formulated as an n-armed bandit problem and it is solved by means of a Monte Carlo control algorithm.

Keywords

Cognitive radio (CR) rate control n-armed bandit problem reinforcement learning (RL) 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Álvaro Gonzalo-Ayuso
    • 1
  • Jesús Pérez
    • 1
  1. 1.Department of Communication EngineeringUniversity of CantabriaSantanderSpain

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