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A Truthful Online Incentive Mechanism for Nondeterministic Spectrum Allocation | IEEE Journals & Magazine | IEEE Xplore

A Truthful Online Incentive Mechanism for Nondeterministic Spectrum Allocation


Abstract:

Dynamic spectrum access (DSA) is a promising platform to solve the problem of spectrum shortage for which the most challenging issue is spectrum allocation under uncertai...Show More

Abstract:

Dynamic spectrum access (DSA) is a promising platform to solve the problem of spectrum shortage for which the most challenging issue is spectrum allocation under uncertain availability information, which is referred as a nondeterministic spectrum allocation problem. The nature of such a problem is due to inaccurate spectrum sensing results, which are induced by that power or energy based sensing can be greatly impacted by thermal and environmental noise. For spectrum allocation, auction-based mechanisms have been extensively studied because of channel allocation efficiency, and its potential to achieve bidding truthfulness for secondary uses (SUs). However, most existing spectrum auction mechanisms focus on realizing the truthfulness under certain spectrum availability information. In this paper, we propose FORTUNE, the first truthful online auction mechanism for nondeterministic spectrum allocation by considering uncertain spectrum availability and dynamic spectrum requests. Specifically, we take limited information to compute expected income and losses when interference between primary users (PUs) and SUs occurs, and present a virtual request method for changing of spectrum's actual state. Thorough theoretical analysis proves the truthfulness of FORTUNE. Furthermore, given a sample set with 5%-30% noise in spectrum sensing, FORTUNE achieves not only truthfulness, but also up to 50% higher channel utilization than existing spectrum auction mechanisms.
Published in: IEEE Transactions on Wireless Communications ( Volume: 19, Issue: 7, July 2020)
Page(s): 4632 - 4642
Date of Publication: 13 April 2020

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I. Introduction

Spectrum is a scarce and non-renewable resource, therefore with the increasing demand for wireless communications, the spectrum shortage problem becomes more and more serious. With the potential of increasing spectrum utilization, dynamic spectrum access (DSA) is regarded as a promising platform to solve the spectrum shortage problem. In DSA, wireless devices (i.e., secondary users, SUs) without interference are allowed to dynamically access unoccupied channels, which belongs to primary license holder(i.e., primary users, PUs). Most existing spectrum allocation mechanisms (e.g., [2]–[6]) in DSA assume that an auctioneer has complete knowledge about spectrum state information (e.g., spectrum is available/busy for use by SUs deterministically). However, the complete knowledge about the spectrum state information cannot be obtained all the time. Spectrum allocation problem under uncertain spectrum availability should be discussed, which refers to nondeterministic spectrum allocation [1].

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1.
Ridhima and A. Singh Buttar, "Fundamental operations of cognitive radio: A survey", Proc. IEEE Int. Conf. Electr. Comput. Commun. Technol. (ICECCT), pp. 1-5, Feb. 2019.
2.
F. Wu, Q. Huang, Y. Tao and G. Chen, "Towards privacy preservation in strategy-proof spectrum auction mechanisms for noncooperative wireless networks", IEEE/ACM Trans. Netw., vol. 23, no. 4, pp. 1271-1285, Aug. 2015.
3.
Y. Chen, P. Lin and Q. Zhang, "LOTUS: location-aware online truthful double auction for dynamic spectrum access", IEEE Trans. Wireless Commun., vol. 14, no. 2, pp. 1092-1099, Feb. 2015.
4.
S. Wang, P. Xu, X. Xu, S. Tang, X. Li and X. Liu, "TODA: Truthful online double auction for spectrum allocation in wireless networks", Proc. IEEE Symp. New Frontiers Dyn. Spectr. (DySPAN), pp. 1-10, Apr. 2010.
5.
Q. Wang et al., "Robust large-scale spectrum auctions against false-name bids", IEEE Trans. Mobile Comput., vol. 16, no. 6, pp. 1730-1743, Jun. 2017.
6.
T. Sanguanpuak, S. Guruacharya, N. Rajatheva, M. Bennis and M. Latva-Aho, "Multi-operator spectrum sharing for small cell networks: A matching game perspective", IEEE Trans. Wireless Commun., vol. 16, no. 6, pp. 3761-3774, Jun. 2017.
7.
M. Lopez-Benitez and F. Casadevall, "Signal uncertainty in spectrum sensing for cognitive radio", IEEE Trans. Commun., vol. 61, no. 4, pp. 1231-1241, Apr. 2013.
8.
F. Z. El Bahi, H. Ghennioui and M. Zouak, "Spectrum sensing technique of OFDM signal under noise uncertainty based on mean ambiguity function for cognitive radio", Phys. Commun., vol. 33, pp. 142-150, Apr. 2019.
9.
O. H. Toma, M. Lopez-Benitez, D. K. Patel and K. Umebayashi, "Estimation of primary channel activity statistics in cognitive radio based on imperfect spectrum sensing", IEEE Trans. Commun., pp. 1-1, 2020.
10.
D. Roy, T. Mukherjee, M. Chatterjee and E. Pasiliao, "Primary user activity prediction in DSA networks using recurrent structures", Proc. IEEE Int. Symp. Dyn. Spectr. Access Netw. (DySPAN), pp. 1-10, Nov. 2019.
11.
Q. Huang, Y. Gui, F. Wu, G. Chen and Q. Zhang, "A general privacy-preserving auction mechanism for secondary spectrum markets", IEEE/ACM Trans. Netw., vol. 24, no. 3, pp. 1881-1893, Jun. 2016.
12.
Q. Huang, Y. Tao and F. Wu, "SPRING: A strategy-proof and privacy preserving spectrum auction mechanism", Proc. IEEE INFOCOM, pp. 827-835, Apr. 2013.
13.
X. Zhou and H. Zheng, "TRUST: A general framework for truthful double spectrum auctions", Proc. IEEE 28th Conf. Comput. Commun. (INFOCOM), pp. 999-1007, Apr. 2009.
14.
Z. Chen, L. Huang and L. Chen, "ITSEC: An information-theoretically secure framework for truthful spectrum auctions", Proc. IEEE Conf. Comput. Commun. (INFOCOM), pp. 2065-2073, Apr. 2015.
15.
Z. Chen et al., "PS-TRUST: Provably secure solution for truthful double spectrum auctions", Proc. IEEE Conf. Comput. Commun. (INFOCOM), pp. 1249-1257, Apr. 2014.
16.
D. Yang, X. Zhang and G. Xue, "PROMISE: A framework for truthful and profit maximizing spectrum double auctions", Proc. IEEE Conf. Comput. Commun. (INFOCOM), pp. 109-117, Apr. 2014.
17.
M. Dong, G. Sun, X. Wang and Q. Zhang, "Combinatorial auction with time-frequency flexibility in cognitive radio networks", Proc. IEEE INFOCOM, pp. 2282-2290, Mar. 2012.
18.
R. Zhu and K. G. Shin, "Differentially private and strategy-proof spectrum auction with approximate revenue maximization", Proc. IEEE Conf. Comput. Commun. (INFOCOM), pp. 918-926, Apr. 2015.
19.
P. Xu and X.-Y. Li, "TOFU: semi-truthful online frequency allocation mechanism for wireless networks", IEEE/ACM Trans. Netw., vol. 19, no. 2, pp. 433-446, Apr. 2011.
20.
P. Xu, X. Xu, S. Tang and X.-Y. Li, "Truthful online spectrum allocation and auction in multi-channel wireless networks", Proc. IEEE INFOCOM, pp. 26-30, Apr. 2011.
21.
V. S. S. Nadendla, S. K. Brahma and P. K. Varshney, "Optimal spectrum auction design with 2-D truthful revelations under uncertain spectrum availability", IEEE/ACM Trans. Netw., vol. 25, no. 1, pp. 420-433, Feb. 2017.
22.
Y. Chen, X. Tian, Q. Wang, M. Li, M. Du and Q. Li, "ARMOR: A secure combinatorial auction for heterogeneous spectrum", IEEE Trans. Mobile Comput., vol. 18, no. 10, pp. 2270-2284, Oct. 2019.
23.
X. Dong, Q. Kang, Y. Xu, Z. Ma and T. Li, "Poster abstract: A practical Sybil-proof incentive mechanism for multichannel allocation", Proc. IEEE Conf. Comput. Commun. Workshops (INFOCOM WKSHPS), pp. 1047-1048, Apr. 2019.
24.
X. Zhou, S. Gandhi, S. Suri and H. Zheng, "EBay in the sky: Strategy-proof wireless spectrum auctions", Proc. 14th ACM Int. Conf. Mobile Comput. Netw. (MobiCom), pp. 2-13, 2008.
25.
Z. Zheng, F. Wu and G. Chen, "A strategy-proof combinatorial heterogeneous channel auction framework in noncooperative wireless networks", IEEE Trans. Mobile Comput., vol. 14, no. 6, pp. 1123-1137, Jun. 2015.
26.
X. Wang, Y. Ji, H. Zhou, Z. Liu, Y. Gu and J. Li, "A privacy preserving truthful spectrum auction scheme using homomorphic encryption", Proc. IEEE Global Commun. Conf. (GLOBECOM), pp. 1-6, Dec. 2015.
27.
P. Xu, X.-Y. Li and S. Tang, "Efficient and strategyproof spectrum allocations in multichannel wireless networks", IEEE Trans. Comput., vol. 60, no. 4, pp. 580-593, Apr. 2011.
28.
F. Wu and N. Vaidya, "A strategy-proof radio spectrum auction mechanism in noncooperative wireless networks", IEEE Trans. Mobile Comput., vol. 12, no. 5, pp. 885-894, May 2013.
29.
M. Al-Ayyoub and H. Gupta, "Truthful spectrum auctions with approximate revenue", Proc. IEEE INFOCOM, pp. 2813-2821, Apr. 2011.
30.
J. Jia, Q. Zhang, Q. Zhang and M. Liu, "Revenue generation for truthful spectrum auction in dynamic spectrum access", Proc. 10th ACM Int. Symp. Mobile Ad Hoc Netw. Comput. (MobiHoc), pp. 3-12, 2009.

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References

References is not available for this document.