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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Exploiting Multichannel Diversity in Spectrum Sharing Systems Using Optimal Stopping Rule

  • Xu, Yuhua (Institute of Communications Engineering, PLA University of Science and Technology) ;
  • Wu, Qihui (Institute of Communications Engineering, PLA University of Science and Technology) ;
  • Wang, Jinlong (Institute of Communications Engineering, PLA University of Science and Technology) ;
  • Anpalagan, Alagan (Department of Electrical and Computer Engineering, Ryerson University) ;
  • Xu, Yitao (Institute of Communications Engineering, PLA University of Science and Technology)
  • Received : 2011.06.21
  • Accepted : 2011.10.05
  • Published : 2012.04.04
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Abstract

This letter studies the problem of exploiting multichannel diversity in a spectrum sharing system, where the secondary user (SU) sequentially explores channel state information on the licensed channels with time consumption. To maximize the expected achievable throughput for the SU, we formulate this problem as an optimal stopping problem, whose objective is to choose the right channel to stop exploration based on the observed signal-to-noise ratio sequence. Moreover, we propose a myopic but optimal rule, called one-stage look-ahead rule, to solve the stopping problem.

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References

  1. A. Ghasemi and E. Sousa, "Fundamental Limits of Spectrum- Sharing in Fading Environments," IEEE Trans. Wireless Commun., vol. 6, no. 2, Feb. 2007, pp. 649-658. https://doi.org/10.1109/TWC.2007.05447
  2. H. Wang et al., "Capacity of Secondary Users Exploiting Multispectrum and Multiuser Diversity in Spectrum-Sharing Environments," IEEE Trans. Veh. Technol., vol. 59, no. 2, Feb. 2010, pp. 1030-1036. https://doi.org/10.1109/TVT.2009.2035043
  3. P. Chaporkar, A. Proutiere, and H. Asnani, "Learning to Optimally Exploit Multi-channel Diversity in Wireless Systems," Proc. IEEE INFOCOM, 2010, pp. 1-9.
  4. R. Zhang, "On Active Learning and Supervised Transmission of Spectrum Sharing Based Cognitive Radios by Exploiting Hidden Primary Radio Feedback," IEEE Trans. Commun., vol. 58, no. 10, Oct. 2010, pp. 2960-2970. https://doi.org/10.1109/TCOMM.2010.082710.090412
  5. T. Ban et al., "Multi-user Diversity in a Spectrum Sharing System," IEEE Trans. Wireless Commun., vol. 8, no. 1, Jan. 2009, pp. 102-106. https://doi.org/10.1109/T-WC.2009.080326
  6. T.S. Ferguson, Optimal Stopping and Applications. http://www. math.ucla.edu/ tom/Stopping/Contents.html

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  2. Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions vol.15, pp.4, 2013, https://doi.org/10.1109/surv.2013.030713.00189
  3. A Survey of Decision-Theoretic Models for Cognitive Internet of Things (CIoT) vol.6, pp.None, 2018, https://doi.org/10.1109/access.2018.2825282