Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89696
Title: Dynamic spectrum access networks with heterogeneous users : how to price the spectrum?
Authors: Li, Feng
Lam, Kwok-Yan
Li, Xiuhua
Liu, Xin
Wang, Li
Leung, Victor C. M.
Keywords: Spectrum Leasing
DRNTU::Engineering::Computer science and engineering
Dynamic Spectrum Access
Issue Date: 2018
Source: Li, F., Lam, K.-Y., Li, X., Liu, X., Wang, L., & Leung, V. C. M. (2018). Dynamic Spectrum Access Networks With Heterogeneous Users: How to Price the Spectrum?. IEEE Transactions on Vehicular Technology, 67(6), 5203-5216. doi:10.1109/TVT.2018.2818749
Series/Report no.: IEEE Transactions on Vehicular Technology
Abstract: In a pricing-based spectrum trading market, an interesting issue is to study how secondary users make their selections in a rational manner when there are available spectrum of different qualities in the market. In this case, primary systems inherently require a precise pricing strategy to maximize their profits especially when the secondary users selection preferences are not uniform nor predictable during the dynamic access. In this paper, we propose a novel spectrum pricing mechanism for primary systems by taking into account the selection preferences of heterogeneous secondary users and quality diversity of leased spectrum caused by different interference levels and channel fading characteristics. Our work mainly focuses on exploring the optimal pricing solution in the case that the selection preference of secondary buyers is stochastic. In the proposed system model, the spectrum to be leased is divided into a series of uniform subchannels of various qualities for spectrum trading. We analyze the impact of secondary users' preference on spectrum trading and propose an iterative algorithm for spectrum pricing by introducing the Hotelling model to describe the relationship between the spectrum diversity and the primary system's utility. Proofs of the integrability of the utility function and existence of Nash equilibrium used in the proposed algorithm are provided. Numerical results demonstrate the effectiveness of the proposed pricing method in improving the primary system's profits.
URI: https://hdl.handle.net/10356/89696
http://hdl.handle.net/10220/48363
ISSN: 0018-9545
DOI: 10.1109/TVT.2018.2818749
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TVT.2018.2818749.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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