SRI - Center for Uncertainty Quantification
in Computational Science & Engineering
Home
About
People
Faculty
Visiting Professors
Consultants
Research Scientists
Postdoctoral Fellows
Students
Visiting Students
Staff
Member of the Board
Previous Members
Research
Research Projects
Posters
Publications
Books
Book Chapters
Conference Proceedings
Manuscripts
Refereed Journals
Technical Reports
Events
Calendar
Gallery
KAUST UQ School 2016
Zavala's Seminar and Short Course
Grossmann’s Seminars and Short Course
UQ Annual Workshop 2016
UQ Annual Workshop 2015
Spatial Statistics Workshop 2014
UQ Annual Workshop 2014
UQ Annual Workshop 2013
News
Courses
Spring 2016
Summer 2015
Fall 2015
Seminars
Join Us
Links
Home
>
Publications
>
Conference Proceedings
>
Multi-pair cognitive two-way relaying and power allocation under imperfect CSI
Publications
Multi-pair cognitive two-way relaying and power allocation under imperfect CSI
Bibliography:
Bibliography
P.
Ubaidulla
, M. -S.
Alouini
, and S.
Aissa,
Multi-pair cognitive two-way relaying and power allocation under imperfect CSI,
In proceedings IEEE Vehicular Technology Conference (VTC Spring'2013), Dresden, Germany, June 2013.
Authors:
P Ubaidulla, Mohammed-Slim Alouini and Sonia Aissa
Keywords:
Cognitive radio, convex optimization
Year:
2013
Abstract:
In this paper, we present a robust joint relay precoder design and transceiver power allocation for a cognitive radio network under imperfect channel state information. The secondary (or cognitive) network consists of multiple pairs of single-antenna transceiver nodes and a non-regenerative twoway relay with multiple antennas which aids the intra-pair communication process of the transceiver nodes. The secondary
nodes share the spectrum with a licensed primary user (PU) while guaranteeing that the interference to the PU receiver is maintained below a specified threshold. The proposed robust design is based on the minimization of the sum mean-square error (MSE) of the transceiver nodes under constraints on the secondary users’ transmit powers and interference to PU the receiver. Though the original problem is non-convex, we
show that the proposed design can be solved using alternating optimization of convex subproblems which have analytic or efficient numerical solutions. We illustrate the performance of the proposed designs through some selected numerical simulations.
ISSN:
Accepted for publication
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6692645
No
Site Map
|
Privacy Policy
|
Terms of Use
|
Team Site
©
2021
King Abdullah University of Science and Technology,
All rights reserved.
SRI - Center for Uncertainty Quantification
in Computational Science & Engineering
http://
http://