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REINFORCEMENT LEARNING APPROACH TO REDUCE LATENCY FOR SPECTRUM SENSING IN COGNITIVE RADIO WIRELESS NETWORKS.

The detection of available wireless channels will allow CR radio transceivers, discovering which communication channels are in use and which are not. The main goal of Cognitive Radio devices is to move into vacant channels while avoiding occupied ones. It passes the transmission of multiple signals...

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Published in:Turkish Journal of Physiotherapy Rehabilitation Vol. 32; no. 2; pp. 3044 - 3050
Main Authors: MANASA, A., SRIKANTH, V.
Format: equations & formulas research tables/charts Journal Article
Published: Turkish Journal of Physiotherapy & Rehabilitation 2021
Online Access:View this record in EBSCOhost
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      dt: 2021
      vid: 32
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      pub: Turkish Journal of Physiotherapy & Rehabilitation
      place: Kizilay/ Ankara, <Blank>
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        atl: REINFORCEMENT LEARNING APPROACH TO REDUCE LATENCY FOR SPECTRUM SENSING IN COGNITIVE RADIO WIRELESS NETWORKS.
      aug:
        au:
          MANASA, A.
          SRIKANTH, V.
        affil: M.Tech Student, Department of CSE, Koneru Lakshmaiah Education Foundation, Guntur, India-522502
      sug:
        subj:
          Reinforcement (Psychology)
          Cognition
          Computer Communication Networks
          Radio Waves
          Transducers
          Wireless Communications
          Human
          Models, Statistical
          Neural Networks (Computer)
          Descriptive Statistics
          Wireless Local Area Networks
      ab: The detection of available wireless channels will allow CR radio transceivers, discovering which communication channels are in use and which are not. The main goal of Cognitive Radio devices is to move into vacant channels while avoiding occupied ones. It passes the transmission of multiple signals into a single medium, optimizing the spectrum while minimizing interference with other users--low latency routing algorithm based on dynamic programming in cognitive wireless mesh networks through modified Q-learning algorithm. This research aims to use an RL technique known as changed Q-Learning to provide a potential solution for allocating channels in a wireless network containing independent cognitive nodes. The proposed method demonstrates the results by spectrum sensing scheme achieves significant performance gain over various reference algorithms in scanning overhead and access delay for particular applications.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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