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

Yang, H; Xie, X; Vasilakos, AV

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

Yang, H Xie, X Vasilakos, AV

Permalink

Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Wireless Personal Communications, 2016, 90, (2), pp. 551-573
Issue Date:: 2016-09-01

Closed Access

	Filename	Description	Size
	Yang2016_Article_ARobustStackelbergGameBasedUpl.pdf	Published version	1.31 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Yang, H
dc.contributor.author	Xie, X
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-12T07:09:55Z
dc.date.available	2022-08-12T07:09:55Z
dc.date.issued	2016-09-01
dc.identifier.citation	Wireless Personal Communications, 2016, 90, (2), pp. 551-573
dc.identifier.issn	0929-6212
dc.identifier.issn	1572-834X
dc.identifier.uri	http://hdl.handle.net/10453/160031
dc.description.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.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Wireless Personal Communications
dc.relation.isbasedon	10.1007/s11277-015-3097-4
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.subject.classification	Networking & Telecommunications
dc.title	A Robust Stackelberg Game Based Uplink Power Control for Device-to-Device Communication with Channel Uncertainty and Outage Probability Constraints
dc.type	Journal Article
utslib.citation.volume	90
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-08-12T07:09:54Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	90
utslib.citation.issue	2

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/160031