NDLI: A Robust Stackelberg Game Based Uplink Power Control for Device-to-Device Communication with Channel Uncertainty and Outage Probability Constraints

Content Provider	Springer Nature Link
Author	Yang, Helin Xie, Xianzhong Vasilakos, Athanasios V.
Copyright Year	2015
Abstract	This paper studies the problem of robust uplink power control in OFDMA-based Device-to-device (D2D) cellular networks composed of cellular and D2D user equipments (UEs). Both cellular UEs and D2D UEs compete with each other to maximize their own utility considering imperfect channel state information (CSI). We formulate a robust Stackelberg game (RSG) based SINR maximization to model this hierarchical competition, where the cellular UEs and D2D UEs are considered to be leaders and followers, respectively. Then, a comprehensive investigation of the RSG is developed with considering various power constraints, various interference constraints and outage probability constraints under a channel uncertainty model. Moreover, we apply the Lagrange dual decomposition method to solve this problem, and an efficient iterative algorithm is proposed to achieve the robust Stackelberg equilibrium (RSE). Global efficiency of the RSE and its complexity are also analysed. Simulation results show that the proposed RSG solution with imperfect CSI can achieve better performance in terms of sum rate for cellular UEs and D2D pairs, sum transmission power, and outage probability by comparing with other existing Stackelberg game solutions.
Starting Page	551
Ending Page	573
Page Count	23
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	90
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2015-10-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Device-to-device communication Power control Robust Stackelberg game Channel uncertainty Outage probability SINR maximization Worst-case analysis Communications Engineering, Networks Signal, Image and Speech Processing Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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