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Issue No.03 - March (2014 vol.13)
pp: 556-568
Wireless spectrum is a scare resource, but in practice much of it is underused by current owners. To enable better use of this spectrum, we propose an auction approach that leverages dynamic spectrum access techniques to allocate spectrum in a secondary market. These are markets where spectrum owners can either sell or lease spectrum to other parties. Unlike previous auction approaches, we seek to take advantage of the ability to share spectrum among some bidders while respecting the needs of others for exclusive use. Thus, unlike unlicensed spectrum (e.g., Wi-Fi), which can be shared by any device, and exclusive-use licensed spectrum, where sharing is precluded, we enable efficient allocation by supporting sharing alongside quality-of-service protections. We present SATYA (Sanskrit for "truth"), a strategyproof and scalable spectrum auction algorithm whose primary contribution is in the allocation of a right to contend for spectrum to both sharers and exclusive-use bidders. Achieving strategyproofness in our setting requires appropriate handling of the externalities created by sharing. Using realistic Longley-Rice-based propagation modeling and data from the FCC's CDBS database, we conduct extensive simulations that demonstrate SATYA's ability to handle heterogeneous agent types involving different transmit powers and spectrum needs.
Resource management, Interference, FCC, TV, Wireless communication, Bandwidth,strategyproof, Spectrum auctions, secondary markets, sharing
"Enabling Spectrum Sharing in Secondary Market Auctions", IEEE Transactions on Mobile Computing, vol.13, no. 3, pp. 556-568, March 2014, doi:10.1109/TMC.2013.17
[1] "Shuttle Radar Topography Mission," http://www2.jpl.nasa. govsrtm, 2013.
[2] Nat'l Telecomm. & Information Administration, US Department of Commerce, Inst. for Telecomm. Science, "Irregular Terrain Model (ITM) (Longley-Rice) (20 MHz - 20 GHz)," itmitm.aspx, 2013.
[3] "Longley-Rice Methodology for Evaluating TV Coverage and Interference," OET Bulletin No. 69, Feb. 2004.
[4] "Evaluation of the Performance of Prototype TV-Band White Space Devices," FCC Press Release, Nov. 2008.
[5] L.M. Ausubel and P. Milgrom, The Lovely but Lonely Vickrey Auction, Cramton et al., eds., chapter 1, pp. 17-40, MIT, Aug 2004.
[6] A. Blum and J.D. Hartline, "Near-Optimal Online Auctions," Proc. Symp. Discrete Algorithms (SODA), pp. 1156-1163, 2005.
[7] M.M. Buddhikot, P. Kolodzy, S. Miller, K. Ryan, and J. Evans, "DIMSUMNet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access," Proc. Int'l Conf. World of Wireless, Mobile and Multimedia Networks (WOWMOM), 2005.
[8] M.M. Buddhikot and K. Ryan, "Spectrum Management in Coordinated Dynamic Spectrum Access Networks," Proc. IEEE First Int'l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2005.
[9] M.M. Bykowsky, M.A. Olson, and W.W. Sharkey, "Modeling the Efficiency of Spectrum Designated to Licensed Service and Unlicensed Operations," FCC OSP Working Paper Series, 2008.
[10] F. Constantin, M. Rao, C.-C. Huang, and D.C. Parkes, "On Expressing Value Externalities in Position Auctions," Proc. Sixth Ad Auctions Workshop, 2010.
[11] P. Cramton, "Spectrum Auctions," Handbook of Telecomm. Economics, M. Cave, S. Majumdar, and I. Vogelsang, eds., pp. 605-639, Elsevier, 2002.
[12] Combinatorial Auctions, P. Cramton, Y. Shoham, and R. Steinberg, eds. MIT, 2006.
[13] "TVQ TV Database," FCC Media Bureau,
[14] S. Gandhi, C. Buragohain, L. Cao, H. Zheng, and S. Suri, "A General Framework for Wireless Spectrum Auctions," Proc. IEEE Second Int'l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2007.
[15] S. Gandhi, C. Buragohain, L. Cao, H. Zheng, and S. Suri, "Towards Real-Time Dynamic Spectrum Auctions," Computer Networks, vol. 52, no. 4, pp. 879-897, 2008.
[16] A. Ghosh and M. Mahdian, "Externalities in Online Advertising," Proc. 17th Int'l Conf. World Wide Web (WWW '08), 2008.
[17] J. Huang, R.A. Berry, and M.L. Honig, "Auction Mechanisms for Distributed Spectrum Sharing," Proc. 42nd Allerton Conf., 2004.
[18] "Analysis of FCC Secondary Spectrum Markets Positions, Policies and Comments," white paper, Spectrum Bridge, Aug. 2008.
[19] "The Secondary Spectrum Market: A Licensing and Leasing Primer," white paper, Spectrum Bridge, Sept. 2008.
[20] K. Jain, J. Padhye, V.N. Padmanabhan, and L. Qiu, "Impact of Interference on Multi-Hop Wireless Network Performance," Wireless Networks, vol. 11, no. 4, pp. 471-487, 2005.
[21] S. Jain, K. Fill, and R. Patra, "Routing in a Delay Tolerant Network," Proc. ACM Special Interest Group Data Comm. (SIGCOMM), 2004.
[22] P. Jehiel, B. Moldovanu, and E. Stacchetti, "How (Not) to Sell Nuclear Weapons," Am. Economic Rev., vol. 84, no. 6, pp. 814-829, Sept. 1996.
[23] J. Jia, Q. Zhang, Q. Zhang, and M. Liu, "Revenue Generation for Truthful Spectrum Auction in Dynamic Spectrum Access," Proc. ACM MobiHoc, pp. 3-12, 2009.
[24] G.S. Kasbekar and S. Sarkar, "Spectrum Auction Framework for Access Allocation in Cognitive Radio Networks," Proc. ACM MobiHoc, pp. 13-22, 2009.
[25] I. Kash, R. Murty, and D. Parkes, "Enabling Spectrum Sharing in Secondary Market Auctions," Technical Report TR-08-10, Harvard Univ., 2010.
[26] P. Krysta, T. Michalak, T. Sandholm, and M. Wooldridge, "Combinatorial Auctions with Externalities," Proc. Ninth Int'l Conf. Autonomous Agents and Multiagent Systems (AAMAS '10), 2010.
[27] J. Li, C. Blake, D.S.J.D. Couto, H.I. Lee, and R. Morris, "Capacity of Ad Hoc Wireless Networks," Proc. ACM MobiCom, 2001.
[28] V. Mhatre and K. Papagiannaki, "Optimal Design of High Density 802.11 WLANs," Proc. ACM CoNEXT Conf. (CoNEXT '06), 2006.
[29] R. Myerson, "Optimal Auction Design," Math. Operations Research, vol. 6, pp. 58-73, 1981.
[30] D.C. Parkes and Q. Duong, "An Ironing-Based Approach to Adaptive Online Mechanism Design in Single-Valued Domains," Proc. 22nd Nat'l Conf. Artificial Intelligence (AAAI '07), pp. 94-101, 2007.
[31] A. Sridharan and B. Krishnamachari, "Max-Min Fair Collision-Free Scheduling for Wireless Sensor Networks," Proc. Workshop Multihop Wireless Networks, 2004.
[32] A.P. Subramanian, M. Al-Ayyoub, H. Gupta, S.R. Das, and M.M. Buddhikot, "Near Optimal Dynamic Spectrum Allocation in Cellular Networks," Proc. IEEE Third Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2008.
[33] J. Tang, G. Xue, and W. Zhang, "Maximum Throughput and Fair Bandwidth Allocation in Multi-Channel Wireless Mesh Networks," Proc. IEEE INFOCOM, 2006.
[34] X. Zhou, S. Gandhi, S. Suri, and H. Zheng, "Ebay in the Sky: Strategy-Proof Wireless Spectrum Auctions," Proc. ACM MobiCom, pp. 2-13, 2008.
[35] X. Zhou and H. Zheng, "TRUST: A General Framework for Truthful Double Spectrum Auctions," Proc. IEEE INFOCOM, pp. 999-1007, 2009.
[36] J. Zhu, X. Guo, S. Roy, and K. Papagiannaki, "CSMA Self-Adaptation Based on Interference Differentiation," Proc. IEEE Global Telecomm. Conf. (GlobeCom '07), 2007.
[37] J. Zhu, B. Metzler, Y. Liu, and X. Guo, "Adaptive CSMA for Scalable Network Capacity in High-Density WLAN: A Hardware Prototyping Approach," Proc. IEEE INFOCOM, 2006.
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