Revenue maximization in spectrum auction for dynamic spectrum access

In this paper, we consider the revenue maximization problem in auctions for dynamic spectrum access. We assume a frequency division method of spectrum sharing with a primary spectrum owner that can divide the available spectrum into sub-bands and sell them to secondary users. We assume that a secondary user's utility function is linear in the rate it can achieve by using the spectrum. We present an incentive compatible, individual rational and revenue-maximizing mechanism that the spectrum owner can use to divide the spectrum among the strategic (selfish) secondary buyers.

[1]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[2]  Kevin W. Sowerby,et al.  A Quantitative Analysis of Spectral Occupancy Measurements for Cognitive Radio , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[3]  Radosław Pytlak,et al.  Conjugate Gradient Algorithms in Nonconvex Optimization , 2008 .

[4]  Roger B. Myerson,et al.  Optimal Auction Design , 1981, Math. Oper. Res..

[5]  E. Maasland,et al.  Auction Theory , 2021, Springer Texts in Business and Economics.

[6]  Paul R. Milgrom,et al.  Putting Auction Theory to Work: The Simultaneous Ascending Auction , 1999, Journal of Political Economy.

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

[8]  R. Myerson Incentive Compatibility and the Bargaining Problem , 1979 .

[9]  Mingyan Liu,et al.  Mining Spectrum Usage Data: A Large-Scale Spectrum Measurement Study , 2009, IEEE Transactions on Mobile Computing.

[10]  Ali Kakhbod,et al.  Power Allocation and Spectrum Sharing in Multi-User, Multi-Channel Systems With Strategic Users , 2010, IEEE Transactions on Automatic Control.

[11]  Paul Klemperer,et al.  Auctions: Theory and Practice , 2004 .

[12]  Michael L. Honig,et al.  Sequential Bandwidth and Power Auctions for Distributed Spectrum Sharing , 2008, IEEE Journal on Selected Areas in Communications.

[13]  Anthony K. H. Tung,et al.  Mining frequent closed patterns in microarray data , 2004, Fourth IEEE International Conference on Data Mining (ICDM'04).

[14]  Abhay Parekh,et al.  Spectrum sharing for unlicensed bands , 2005, IEEE Journal on Selected Areas in Communications.