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Mobile Information Systems
Volume 2017 (2017), Article ID 1821084, 11 pages
Research Article

Network-Assisted Distributed Fairness-Aware Interference Coordination for Device-to-Device Communication Underlaid Cellular Networks

1Department of Information and Communication System, Inje University, 197 Inje-ro, Gimhae, Gyeongnam, Republic of Korea
2Department of Electronic, Telecommunications, Mechanical and Automotive Engineering, HSV-TRC, Inje University, 197 Inje-ro, Gimhae, Gyeongnam 621-749, Republic of Korea

Correspondence should be addressed to Won-Joo Hwang

Received 21 May 2016; Accepted 19 December 2016; Published 30 January 2017

Academic Editor: Yuh-Shyan Chen

Copyright © 2017 Francis Boabang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Device-to-device (D2D) communication underlaid cellular network is considered a key integration feature in future cellular network. However, without properly designed interference management, the interference from D2D transmission tends to degrade the performance of cellular users and D2D pairs. In this work, we proposed a network-assisted distributed interference mitigation scheme to address this issue. Specifically, the base station (BS) acts as a control agent that coordinates the cross-tier interference from D2D transmission through a taxation scheme. The cotier interference is controlled by noncooperative game amongst D2D pairs. In general, the outcome of noncooperative game is inefficient due to the selfishness of each player. In our game formulation, reference user who is the victim of cotier interference is factored into the payoff function of each player to obtain fair and efficient outcome. The existence, uniqueness of the Nash Equilibrium (NE), and the convergence of the proposed algorithm are characterized using Variational Inequality theory. Finally, we provide simulation results to evaluate the efficiency of the proposed algorithm.