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Economic-Robust Session Based Spectrum Trading

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Spectrum Trading in Multi-Hop Cognitive Radio Networks

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

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Abstract

This chapter further extends the session based spectrum trading into an economic-robust session based one. Beyond considering the end-to-end performance of spectrum trading as illustrated in last chapter, the economic-robust session based spectrum trading also guarantee the economic properties of spectrum trading such as incentive compatibility, individual rationality, and budget balance. By employing two bidding manners, i.e., bidding for the whole session and unit rate bidding, we formulate the spectrum trading problems under multiple economic and multi-hop CR transmission constraints, design two pricing mechanisms to charge the winning spectrum bidders, and further mathematically prove the economic-robustness of the proposed spectrum trading schemes. Through extensive simulations, we show the proposed schemes are economic-robust and effective in improving spectrum utilization.

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References

  1. IBM ILOG CPLEX Optimizer.

    Google Scholar 

  2. P. Gupta and P. R. Kumar. The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2):388–404, March 2000.

    Article  MathSciNet  MATH  Google Scholar 

  3. Y. T. Hou, Y. Shi, and H. D. Sherali. Spectrum sharing for multi-hop networking with cognitive radios. IEEE Journal on Selected Areas in Communications, 26(1):146–155, January 2008.

    Article  Google Scholar 

  4. H. Li, Y. Cheng, C. Zhou, and P. Wan. Multi-dimensional conflict graph based computing for optimal capacity in MR-MC wireless networks. In Proc. of International Conference on Distributed Computing Systems, ICDCS 2010, Genoa, Italy, June 2010.

    Google Scholar 

  5. M. Li, P. Li, M. Pan, and J. Sun. Economic-robust transmission opportunity auction in multi-hop wireless networks. In Proc. of IEEE Conference on Computer Communications, INFOCOM 2013, Turin, Italy, April 2013.

    Google Scholar 

  6. M. Pan, C. Zhang, P. Li, and Y. Fang. Joint routing and scheduling for cognitive radio networks under uncertain spectrum supply. In Proc. of IEEE Conference on Computer Communications, INFOCOM 2011, Shanghai, China, April 2011.

    Google Scholar 

  7. J. Tang, S. Misra, and G. Xue. Joint spectrum allocation and scheduling for fair spectrum sharing in cognitive radio wireless networks. Computer Networks (Elsevier) Journal, 52(11):2148–2158, August 2008.

    Google Scholar 

  8. H. Zhai and Y. Fang. Impact of routing metrics on path capacity in multirate and multihop wireless ad hoc networks. In Proc. of the IEEE International Conference on Network Protocols, ICNP 2006, Santa Barbara, CA, November 2006.

    Google Scholar 

  9. X. Zhou, S. Gandhi, S. Suri, and H. Zheng. ebay in the sky: strategy-proof wireless spectrum auctions. In Proc. of Mobile Computing and Networking, Mobicom ’08, San Francisco, CA, September 2008.

    Google Scholar 

  10. X. Zhou and H. Zheng. Trust: A general framework for truthful double spectrum auctions. In Proc. of INFOCOM 2009, Rio de Janeiro, Brazil, April 2009.

    Google Scholar 

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Pan, M., Li, M., Li, P., Fang, Y. (2015). Economic-Robust Session Based Spectrum Trading. In: Spectrum Trading in Multi-Hop Cognitive Radio Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-25631-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-25631-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25629-0

  • Online ISBN: 978-3-319-25631-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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