Title
Energy-efficient power and sensing/transmission duration optimization with cooperative sensing in cognitive radio networks
Abstract
This paper investigates an energy-efficient transmission scheme in cognitive radio networks, where primary users (PUs) may reoccupy the spectrum when secondary users (SUs) is transmitting data. We aim to maximize the energy efficiency by jointly optimizing the transmission power, the fusion rule threshold and the sensing/transmission durations. Firstly, it is derived that for a given fusion rule threshold, the objective function is unimodal while only one optimization parameter varies. Furthermore, we provide the corresponding closed-form expressions of the optimal data transmission duration and transmission power. Finally, the globally unimodal property is proven, and hence, the globally optimal point can be easily found with the proposed algorithm based on the alternating direction method (ADM). Numerical simulation results show that our proposed scheme is much better than the existing ones.
Year
DOI
Venue
2014
10.1109/WCNC.2014.6952132
WCNC
Keywords
Field
DocType
cognitive radio networks,secondary users,energy-efficient sensing duration optimization,sensing and transmission duration,energy-efficient power duration optimization,alternating direction method,cooperative communication,cognitive radio,energy-efficient transmission duration optimization,numerical analysis,k-out-of-n,fusion rule threshold,optimal data transmission duration,transmission power,radio spectrum management,globally unimodal property,cooperative sensing,primary users,energy efficiency,signal detection,sensor fusion,throughput,optimization,algorithm design and analysis,sensors
Transmission (mechanics),Data transmission,Computer simulation,Expression (mathematics),Computer science,Efficient energy use,Real-time computing,Cognitive radio
Conference
ISSN
Citations 
PageRank 
1525-3511
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Yujing Tian100.34
Wenjun Xu231359.63
Shengyu Li38213.28
Li Guo45818.35
Jiaru Lin564680.74