It is
not more and more, easy to satisfy the important and growing spectrum demands
in the context of the static conventional policy spectrum allocation.
Therefore, to find a suitable solution to this problem, we are to days
observing the apparition of flexible dynamic spectrum allocation methods. These
methods that ought to improve more significantly the spectrum use have gained
much interest. In fact, the digital dividend due to the change-over from the
analog television to the digital terrestrial television must be efficiently used.
So the Dynamic Spectrum Access (DSA) can potentially play a key role in shaping
the future digital dividend use. In the DSA, two kinds of users or networks
coexist on different channels. The first one, known as the primary user,
accesses to a channel with high priority; and the second one, known as
secondary user has a low priority. This paper presents a dynamic spectrum
access protocol based on an auction framework. Our protocol is an interesting
tool that allows the networks to bid and obtain on the available spectrum, the
rights to be primary and secondary users according their valuations and traffic
needs. Based on certain offers, our protocol selects primary and secondary
users for each idle channel in order to realize the maximum economic for the
regulator or social benefits. We deal with the case in which the offers of the
networks are independent one another even if they will share the same channels.
We design an algorithm in accordance with our dynamic spectrum access protocol.
The algorithm is used here to find an optimal solution to the access allocation
problem, specifically to digital dividend. Finally, the results in the numeric
section, regarding the three suggested scenarios, show that the proposed
dynamic spectrum access protocol is viable. The algorithm is able to eliminate
all non-compliant bidders for the available spectrum sharing. We notice that
the revenue or social benefits of the regulator is maximized when we have on
each channel, one primary user and the maximum number of secondary users.
References
[1]
Kaur, M.J., Uddin, M. and Verma, H.K (2012) QoS Provisioning of Cognitive Radio Using Soft Computing Techniques—A Survey. International Journal of Computational Intelligence and Information Security, 3, 51-63.
[2]
Reed, D.P. (2003) Bits Aren’t Bites: Constructing a “Communications Ether” That Can Grow and Adapt. International Symposium on Advanced Radio Technologies (ISART), Boulder, 4 March 2003, 39-46.
[3]
OFcom (2004) A Guide to the Spectrum Framework Review.
[4]
Ghosh, G., Das, P. and Chatterjee, S. (2014) Cognitive Radio and Dynamic Spectrum Access—A Study. International Journal of Next-Generation Networks, 6, 43-60. http://dx.doi.org/10.5121/ijngn.2014.6104
[5]
Zhao, Q. and Sadler, B.M. (2007) A Survey of Dynamic Spectrum Access. IEEE Signal Processing Magazine, 24, 79-89. http://dx.doi.org/10.1109/MSP.2007.361604
[6]
Ren, P., Wang, Y., Du, Q. and Xu, J. (2012) A Survey on Dynamic Spectrum Access Protocols for Distributed Cognitive Wireless Networks. EURASIP Journal on Wireless Communications and Networking, 2012, 60. http://dx.doi.org/10.1186/1687-1499-2012-60
[7]
Liu, C. (2009) Spectrum Sharing in Dynamic Spectrum Access Networks: WPE-II Written Report. Technical Report Available at Scholarly Commons.
[8]
Gandhi, S., Buragohain, C., Cao, L., Zheng, H. and Suri, S. (2008) Towards Real-Time Dynamic Spectrum Auctions. Computer Network, 52, 879-897. http://dx.doi.org/10.1016/j.comnet.2007.11.003
[9]
FCC Auctions. http://wireless.fcc.gov/auctions
[10]
Buddhikot, M.M., Kolodzy, P., Miller, S., Ryan, K. and Evans, J. (2005) DIMSUMNet: New Directions in Wireless Networking Using Coordinated Dynamic Spectrum Access. 6th IEEE International Conference on a World of Wireless Mobile and Multimedia Networks (WoWMoM), Taormina, 16 June 2015, 78-85. http://dx.doi.org/10.1109/WOWMOM.2005.36
[11]
Office of Communications (Ofcom) (2007) A Study into Dynamic Spectrum Access—Final Report. Report No. 72/06/R/353/U, London, England.
[12]
Amitay, N. and Greenstein, L.J. (1994) Resource Auction Multiple Access (RAMA) in the Cellular Environment. IEEE Transactions on Vehicular Technology, 43, 1101-1111. http://dx.doi.org/10.1109/25.330174
[13]
Kock, C., Jaekel, H. and Jondral, F. (2005) Auction Sequence as a New Resource Allocation Mechanism. 61st Vehicular Technology Conference (VTC), 1, 240-244.
[14]
Grandblaise, D., Moessner, K., Vivier, G. and Tafazolli, R. (2006) Credit Token Based Rental Protocol for Dynamic Channel Allocation. 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom), Mykonos Island, 8-10 June 2006, 1-5.
[15]
Weiss, T.A. and Jondral, F.K. (2004) Spectrum Pooling: An Innovative Strategy for the Enhancement of Spectrum Efficiency. IEEE Communications Magazine, 42, S8-S14. http://dx.doi.org/10.1109/mcom.2004.1273768
[16]
Huang, J.W., Berry, R.A. and Honig, M.L. (2006) Auction-Based Spectrum Sharing. Mobile Networks and Applications, 11, 405-418. http://dx.doi.org/10.1007/s11036-006-5192-y