• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Short Term Spectrum Trading in Future LTE Based Cognitive Radio Systems

Vol. 9, No. 1, January 30, 2015
10.3837/tiis.2015.01.003, Download Paper (Free):

Abstract

Market means of spectrum trading have been utilized as a vital method of spectrum sharing and access in future cognitive radio system. In this paper, we consider the spectrum trading with multiple primary carrier providers (PCP) leasing the spectrum to multiple secondary carrier providers (SCP) for a short period of time. Several factors including the price of the resource, duration of leasing, and the spectrum quality guides the proposed model. We formulate three trading policies based on the game theory for dynamic spectrum access in a LTE based cognitive radio system (CRS). In the first, we consider utility function based resource sharing (UFRS) without any knowledge of past transaction. In the second policy, each SCP deals with PCP using a non-cooperative resource sharing (NCRS) method which employs optimal strategy based on reinforcement learning. In variation of second policy, third policy adopts a Nash bargaining while incorporating a recommendation entity in resource sharing (RERS). The simulation results suggest overall increase in throughput while maintaining higher spectrum efficiency and fairness.


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Cite this article

[IEEE Style]
H. K. singh, D. Kumar and S. R, "Short Term Spectrum Trading in Future LTE Based Cognitive Radio Systems," KSII Transactions on Internet and Information Systems, vol. 9, no. 1, pp. 34-49, 2015. DOI: 10.3837/tiis.2015.01.003.

[ACM Style]
Hiran Kumar singh, Dhananjay Kumar, and Srilakshmi R. 2015. Short Term Spectrum Trading in Future LTE Based Cognitive Radio Systems. KSII Transactions on Internet and Information Systems, 9, 1, (2015), 34-49. DOI: 10.3837/tiis.2015.01.003.