Paper Info
Title
A Convex Optimization For Sum Rate Maximization In A Mimo Cognitive Radio Network
Abstract
Cognitive radio is a promising approach that allows a secondary system to reuse radio resources assigned to a primary system. In a cognitive system, it is challenging to design a precoding scheme for the secondary system such that the sum rate of the secondary system is maximized while meeting interference constraints for the primary system. In this paper, we first formulate a sum rate maximization problem for the secondary system. We then use block matrices to modify the problem in the unique form of constraints. Numerical results show that the proposed optimization is efficient for sum rate maximization in a cognitive radio system.
Year
DOI
Venue
2016
10.1109/ICUFN.2016.7537081
2016 EIGHTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN)
Field
DocType
ISSN
Radio resource management,Mathematical optimization,Computer science,MIMO,Interference (wave propagation),Zero-forcing precoding,Convex optimization,Maximization,Precoding,Cognitive radio
Conference
2165-8528
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Hieu V. Nguyen125417.89
Van-Dinh Nguyen217923.75
Hyeon Min Kim301.01
Oh-Soon Shin462063.13