Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/25845

Title: Truth-telling mechanism for two-way relay selection for secrecy communications with energy-harvesting revenue
Authors: Khandaker, Muhammad R.
Wong, Kai-Kit
Zheng, Gan
Keywords: Cooperative beamforming
Energy harvesting
Mechanism design
Two-way relay
Issue Date: 2017
Publisher: IEEE
Citation: KHANDAKER, M.R., WONG, K.-K. and ZHENG, G., 2017. Truth-telling mechanism for two-way relay selection for secrecy communications with energy-harvesting revenue. IEEE Transactions on Wireless Communications, 16 (5), pp. 3111-3123.
Abstract: This paper brings the novel idea of paying the utility to the winning agents in terms of some physical entity in cooperative communications. Our setting is a secret two-way communication channel where two transmitters exchange information in the presence of an eavesdropper. The relays are selected from a set of interested parties such that the secrecy sum rate is maximized. In return, the selected relay nodes’ energy harvesting requirements will be fulfilled up to a certain threshold through their own payoff so that they have the natural incentive to be selected and involved in the communication. However, relays may exaggerate their private information in order to improve their chance to be selected. Our objective is to develop a mechanism for relay selection that enforces them to reveal the truth since otherwise they may be penalized. We also propose a joint cooperative relay beamforming and transmit power optimization scheme based on an alternating optimization approach. Note that the problem is highly non-convex since the objective function appears as a product of three correlated Rayleigh quotients. While a common practice in the existing literature is to optimize the relay beamforming vector for given transmit power via rank relaxation, we propose a second-order cone programming (SOCP)-based approach in this paper which requires a significantly lower computational task. The performance of the incentive control mechanism and the optimization algorithm has been evaluated through numerical simulations.
Description: This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Sponsor: This work is supported by EPSRC under grant EP/K015893/1.
Version: Accepted for publication
DOI: 10.1109/TWC.2017.2675402
URI: https://dspace.lboro.ac.uk/2134/25845
Publisher Link: http://dx.doi.org/10.1109/TWC.2017.2675402
ISSN: 1536-1276
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
07880693.pdfPublished version937.04 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.