cogcom 16(7): e4

Research Article

Proof-of-Concept System for Opportunistic Spectrum Access in Multi-user Decentralized Networks

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  • @ARTICLE{10.4108/eai.5-9-2016.151647,
    author={Sumit J. Darak and Christophe Moy and Jacques Palicot},
    title={Proof-of-Concept System for Opportunistic Spectrum Access in Multi-user Decentralized Networks},
    journal={EAI Endorsed Transactions on Cognitive Communications},
    volume={2},
    number={7},
    publisher={EAI},
    journal_a={COGCOM},
    year={2016},
    month={9},
    keywords={Cognitive radio, opportunistic spectrum access, online learning algorithm, USRP testbed.},
    doi={10.4108/eai.5-9-2016.151647}
}
  • Sumit J. Darak
    Christophe Moy
    Jacques Palicot
    Year: 2016
    Proof-of-Concept System for Opportunistic Spectrum Access in Multi-user Decentralized Networks
    COGCOM
    EAI
    DOI: 10.4108/eai.5-9-2016.151647
Sumit J. Darak1,*, Christophe Moy2, Jacques Palicot2
  • 1: Department of Electronics and Communications Engineering, Indraprastha Institute of Information Technology (IIIT), Delhi, India
  • 2: Department of Signal, Communication et Electronique Embarquée (SCEE), CentraleSupélec/IETR, Rennes, France
*Contact email: sumit@iiitd.ac.in

Abstract

Poor utilization of an electromagnetic spectrum and ever increasing demand for spectrum have led to surge of interests in opportunistic spectrum access (OSA) based paradigms like cognitive radio and unlicensed LTE. In OSA for decentralized networks, frequency band selection from wideband spectrum is a challenging task since secondary users (SUs) do not share any information with each other. In this paper, a new decision making policy (DMP) has been proposed for OSA in the multi-user decentralized networks. First contribution is an accurate characterization of frequency bands using Bayes-UCB algorithm. Then, a novel SU orthogonization scheme using Bayes-UCB algorithm is proposed replacing randomization based scheme. At the end, USRP testbed has been developed for analyzing the performance of DMPs using real radio signals. Experimental results show that the proposed DMP offers significant improvement in spectrum utilization, fewer subband switching and collisions compared to other DMPs.

Keywords
Cognitive radio, opportunistic spectrum access, online learning algorithm, USRP testbed.
Received
2016-05-31
Accepted
2016-08-12
Published
2016-09-05
Publisher
EAI
http://dx.doi.org/10.4108/eai.5-9-2016.151647

Copyright © 2016 Sumit J. Darak et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.