STRUCTURE: A Strategyproof Double Auction for Heterogeneous Secondary Spectrum Markets

Auction has been regarded as one of the promising methods for the scarce resources allocation due to its fairness. Thus, spectrum auction is an efficient way to allocate licensed spectrum to new demanders for mitigating the spectrum scarcity. Most of the existing studies assume that the spectrum resources are homogeneous. However, spectrums with different frequencies are intrinsically heterogeneous due to their different licensed areas and interference ranges. In this paper, we concentrate on the heterogeneity of spectrum resources and propose a strategyproof double auction mechanism STRUCTURE. The STRUCTURE assumes that all the buyers are selfish and rational, and they will submit their bids for each interested spectrum. To achieve the strategyproofness, many existing double spectrum auction mechanisms adopt the bid-independent methods to construct buyer groups, which may cause unfairness for the buyers with high bid values. To tackle this, we turn to choose a bid-related buyer group construction algorithm, which is more suitable for the laws of market and can further avoid the collusion between buyers. After that, we propose a collusion-free allocation mechanism and a bid-independent payment mechanism to ensure the strategyproofness for both buyers and sellers. Simulation results show that the proposed mechanism significantly improves the spectrum utilization with low running time. Furthermore, we also find that the buyers with higher bid values have a higher winning ratio than the buyers with low bids in the STRUCTURE.

[1]  Anna R. Karlin,et al.  Truthful and Competitive Double Auctions , 2002, ESA.

[2]  Xia Zhou,et al.  eBay in the Sky: strategy-proof wireless spectrum auctions , 2008, MobiCom '08.

[3]  Baochun Li,et al.  District: Embracing local markets in truthful spectrum double auctions , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[4]  He Huang,et al.  Truthful Multi-unit Double Auction for Spectrum Allocation in Wireless Communications , 2012, WASA.

[5]  Xiang-Yang Li,et al.  Truthful Auction Mechanisms with Performance Guarantee in Secondary Spectrum Markets , 2015, IEEE Transactions on Mobile Computing.

[6]  Fan Wu,et al.  SMALL: A Strategy-proof Mechanism for radio spectrum allocation , 2011, 2011 Proceedings IEEE INFOCOM.

[7]  He Huang,et al.  Truthful Auction for Resource Allocation in Cooperative Cognitive Radio Networks , 2015, 2015 24th International Conference on Computer Communication and Networks (ICCCN).

[8]  R. McAfee,et al.  A dominant strategy double auction , 1992 .

[9]  Xi Fang,et al.  Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing , 2012, Mobicom '12.

[10]  Xinbing Wang,et al.  A predictive methodology for truthful double spectrum auctions in cognitive radio networks , 2014, 2014 IEEE Global Communications Conference.

[11]  Xiaoshuang Xing,et al.  A multi-unit truthful double auction framework for secondary market , 2013, 2013 IEEE International Conference on Communications (ICC).

[12]  Yanjiao Chen,et al.  TAMES: A Truthful Double Auction for Multi-Demand Heterogeneous Spectrums , 2014, IEEE Transactions on Parallel and Distributed Systems.

[13]  Xiang-Yang Li,et al.  Online market driven spectrum scheduling and auction , 2009, CoRoNet '09.

[14]  Xingming Sun,et al.  Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing , 2015, IEICE Trans. Commun..

[15]  Shi-Chung Chang,et al.  Design of truthful double auction for dynamic spectrum sharing , 2014, 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN).

[16]  Xia Zhou,et al.  TRUST: A General Framework for Truthful Double Spectrum Auctions , 2009, IEEE INFOCOM 2009.

[17]  Jiguo Yu,et al.  An Extensible and Flexible Truthful Auction Framework for Heterogeneous Spectrum Markets , 2016, IEEE Trans. Cogn. Commun. Netw..

[18]  Zongpeng Li,et al.  Strategyproof auctions for balancing social welfare and fairness in secondary spectrum markets , 2011, 2011 Proceedings IEEE INFOCOM.

[19]  Zhu Han,et al.  Auction-Based Resource Allocation for Cooperative Communications , 2008, IEEE Journal on Selected Areas in Communications.

[20]  Mahmoud Al-Ayyoub,et al.  Truthful spectrum auctions with approximate revenue , 2011, 2011 Proceedings IEEE INFOCOM.

[21]  Baochun Li,et al.  A Secondary Market for Spectrum , 2010, 2010 Proceedings IEEE INFOCOM.

[22]  Xiang-Yang Li,et al.  Near-optimal truthful spectrum auction mechanisms with spatial and temporal reuse in wireless networks , 2013, MobiHoc.

[23]  Bo Li,et al.  TAHES: Truthful double Auction for Heterogeneous Spectrums , 2012, 2012 Proceedings IEEE INFOCOM.

[24]  E. H. Clarke Multipart pricing of public goods , 1971 .

[25]  Mingyan Liu,et al.  Revenue generation for truthful spectrum auction in dynamic spectrum access , 2009, MobiHoc '09.

[26]  Zhili Chen,et al.  True-MCSA: A Framework for Truthful Double Multi-Channel Spectrum Auctions , 2012, IEEE Transactions on Wireless Communications.

[27]  Theodore Groves,et al.  Incentives in Teams , 1973 .

[28]  Shaojie Tang,et al.  Mechanism Design for Finding Experts Using Locally Constructed Social Referral Web , 2015, IEEE Transactions on Parallel and Distributed Systems.

[29]  Xi Fang,et al.  Truthful auction for cooperative communications , 2011, MobiHoc '11.

[30]  XiaoHua Xu,et al.  TODA: Truthful Online Double Auction for Spectrum Allocation in Wireless Networks , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[31]  K. K. Ramakrishnan,et al.  Double Auctions for Dynamic Spectrum Allocation , 2014, IEEE/ACM Transactions on Networking.

[32]  Xiang-Yang Li,et al.  SALSA: Strategyproof Online Spectrum Admissions for Wireless Networks , 2010, IEEE Transactions on Computers.

[33]  William Vickrey,et al.  Counterspeculation, Auctions, And Competitive Sealed Tenders , 1961 .