Spectrum Sharing with Vehicular Communication in Cognitive Small-Cell Networks

Author:

Wu Guilu123ORCID,Chu Hongyun4ORCID

Affiliation:

1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

2. Key Laboratory of Industrial Internet of Things & Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

3. National Mobile Communications Research Laboratory, Southeast University, Nanjing 211198, China

4. Center for Frontier Science and Technology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Abstract

An increasing number of vehicles make spectrum resources face serious challenges in vehicular cognitive small-cell networks. The means of spectrum sharing can greatly alleviate this pressure. In this paper, we introduce a supermodular game theoretic approach to analyze the problem of spectrum sharing. The small-cell BS (primary service provider, PSP) and the vehicle (secondary service provider, SSP) can share the spectrum, where the PSP can sell idle spectrum resources to the SSP. This is taken as a spectrum trading market, and a Bertrand competition model is considered to depict this phenomenon. Different PSPs compete with each other to maximize their individual profits. The Bertrand competition model can be proved as a supermodular game, and the corresponding Nash equilibrium (NE) solution is provided as the optimal price solution. Hence, an improved genetic simulated annealing algorithm is designed to achieve NE. Simulation results demonstrate that the NE point for the price of the primary service provider exists. The change of the exogenous variable is also analyzed on the equilibrium point.

Funder

Leading Talents Program of Guangdong Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering

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