Paper Info
Title
Energy Efficiency Of Sensing-Based Spectrum Sharing Technique For Cognitive Radio Systems
Abstract
We study energy-efficient power allocation for the sensing-based spectrum sharing (SBSS) of the cognitive users operating in an uplink multiuser MIMO mode. Different from the existing energy-efficient designs that consider system-wise energy efficiency, we consider user-wise energy efficiencies and optimize them in a Pareto sense. However, due to the nonconvexity of the formulated problem, finding the optimal solution is a challenging problem. To resolve the non-convexity of the problem, we propose to reduce the feasible set by including additional power constraints. Also, we show that the feasible set reduction technique preserves the optimality of the original problem. Simulation results show that the proposed scheme significantly enhances the energy efficiency of the cognitive users compared with the existing spectral-efficient designs.
Year
DOI
Venue
2016
10.1109/ICC.2016.7511211
2016 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
Keywords
Field
DocType
Energy efficiency, cognitive radio, sensing-based spectrum sharing, multi-user MIMO
Radio resource management,3G MIMO,Computer science,Efficient energy use,Computer network,MIMO,Feasible region,Pareto principle,Telecommunications link,Cognitive radio
Conference
ISSN
Citations 
PageRank 
1550-3607
0
0.34
References 
Authors
15
2
Name
Order
Citations
PageRank
Hyunsung Park1529.72
Taewon Hwang239931.78