Journal of Communications and Networks

  • 제11권4호
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  • Pages.368-374
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  • 2009
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  • 1229-2370(pISSN)
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  • 1976-5541(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

A Distributed Multiple Spectrum Pricing Scheme for Optimality Support in Multiaccess Systems

  • Choi, Yong-Hoon (Wireless Innovative Technologies Lab., Korea Advanced Institute of Science and Technology) ;
  • Sohaib, Khan (Wireless Innovative Technologies Lab., Korea Advanced Institute of Science and Technology) ;
  • Kim, Hoon (School of Engineering, Incheon University) ;
  • Chang, Kap-Seok (Electronics and Telecommunications Research Institute) ;
  • Kang, Sung-Yeol (College of Business Management, Hongik University) ;
  • Han, Young-Nam (Wireless Innovative Technologies Lab., Korea Advanced Institute of Science and Technology)
  • 발행 : 2009.08.31
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초록

This paper focuses on a distributed multiple spectrum pricing scheme to maximize system capacity in next generation multiaccess systems, where multimode user equipments (MUEs) can connect simultaneously to multiple base stations (BSs) with multiple radio access technologies (RATs). The multi-price based scheme provides a distributed decision making for an optimal solution where radio resource allocations are determined by each MUE, unlike most centralized mechanisms where BS controls the whole radio resource. By the proposed optimal solution, MUEs can decide their share of spectrum bands and power allocation according to the spectrum price of each RAT, and at the same time the multiaccess system can achieve maximized total throughput. Numerical analysis shows that the proposed scheme achieves the maximal capacity by distributed resource allocation for the multiaccess system.

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참고문헌

  1. R Berezdivin, R Breinig, and R Topp, "Next-generation wireless communications concepts and technologies," IEEE Commun. Mag., vol. 40, pp. 108-116, Mar. 2002
  2. I. Koo, A. Furuskar, J. Zander, and K. Kim, "Erlang capacity of multiac cess systems with service-based access selection," IEEE Commun. Lett., Vol.8 .pp. 662-664, Nov. 2004 https://doi.org/10.1109/LCOMM.2004.837640
  3. I. F. Akyildiz, W. Lee, M. C. Vuran, and S. Mohanty, "A survey on spectrummanagement in cognitive radio networks," IEEE Commun. Mag., vol.46, pp. 40-48, Apr. 2008
  4. W Webb and P. Marks, "Pricing the ether [radio spectrum pricing]," IEE Review, vol. 42, pp. 57-60, Mar. 1996 https://doi.org/10.1049/ir:19960208
  5. W. Webb, "The role of economic techniques in spectrum management," IEEE Commun. Mag. , vol. 36, pp. 102-107, Mar. 1998 https://doi.org/10.1109/35.663334
  6. D. Niyato and E. Hossain, "Competitive pricing for spectrum sharing in cognitive radio networks: Dynamic game, inefficiency of nash equilibrium, and collusion," IEEE J. Sel. Areas Commun., vol 26, no. 1, pp. 192-202, Jan.2008 https://doi.org/10.1109/JSAC.2008.080117
  7. D. Niyato and E. Hossain, "Optimal price competition for spectrum sharingin cognitive radio: A dynamic game-theorεtic approach," in Proc IEEE GLOBECOM, Nov. 2007, pp. 4625-4629
  8. E Capar and E Jondral, "Spectrum pricing for excess bandwidth in radio networks," in Proc. IEEE PIMRC, Sept. 2004, pp. 2458-2462
  9. A. A. Daoud, M. Alanyali, and D. Starobinski, "Secondary pricing of spec trum in cellular CDMA networks," in Proc. IEEE DYSPAN, Apr. 2007, pp. 535-542
  10. M. M. Buddhikot and K. Ryan, "Spectrum management in coordinated dynamic spectrum access based cellular networks," in Proc. IEEE DYS PAN. 2005. , Nov. 2005, pp. 299-307
  11. J. Acharya, and R. D. Yates, "Dynamic spectrum allocation for uplink users with heterogenεous utilities," IEEE Trans. Wireless Commun., vol. 8, pp.1405-1413, Mar.2009 https://doi.org/10.1109/TWC.2009.080073
  12. D. Niyato, E. Hossain, and L. Le, "Competitive spectrum sharing and pricingin cognitive wireless mesh networks," in Proc. IEEE WCNC, Mar. 2008, pp.1431-1435
  13. W. Yu and J. M. Cioffi, "FDMA capacity of Gaussian multiple-accesschannels with ISI," IEEE Trans. Commun., vol. 50, No. 1, pp. 102-111,Jan.2002 https://doi.org/10.1109/26.975766
  14. J. Huang, V. G. Subramanian, R. Beπy， and R. Agrawal, "Joint schedulingand resource allocation in uplink OFDM systems," in Proc. IEEE ACSSC,Nov. 2007, pp. 265-269
  15. S. Boyd and L. Vandcnberghe, Convex Optimization, Cambtige University Press, 2004
  16. J. Stoer, R. Bulirsch, R. Bartels, W. Gautshi, and C. Witzgall, lntroduction to Numerical Analysis, 3rd Ed., Sptinger, 2002, pp. 289-363
  17. D. P. Bertsekas, A. Nedic, and A. E. Ozdaglar, Convex Analysis and Optimizafion, Belmont, Massachusetts: Athena Scientific, 2003
  18. T. K. Sarkar, Z. Ji, K. Kirn, A. Medouti, and M. Salazar-Palma "A sUfveyof various propagation models for mobile comrnunication," IEEE AntennasPropag. Mag. , vol. 45, pp. 51-82, Jun. 2003 https://doi.org/10.1109/MAP.2003.1232163
  19. O. Galor, and J. Zeira, Readings in the Teory of Economic Development,Blackwell Publishers, 2001 , pp. 97-116