Title
Interference-aware spectrum sensing mechanisms in cognitive radio networks
Abstract
Throughput vs. spectrum sensing time under high (left) and moderate (right) usage of spectrum.Display Omitted Study spectrum sensing mechanisms by the optimization of network parameters and strategies.The proposed mechanisms have fewer sensing overhead.SUs can access into the spectrum holes efficiently, and transmit with a low power. This paper focuses on the spectrum sensing mechanisms, which could improve network throughput through the sensing strategy optimization and cooperative spectrum sensing methods. In order to guarantee an integrated and effective research, we take the whole channel scenarios into consideration, i.e., Single Secondary user with Single and Multiple Channels (SSSC and SSMC), Multiple Secondary users with Single and Multiple Channels (MSSC and MSMC). Moreover, according to the specific feature of each scenario, different sensing methods are adopted, i.e., optimal sensing period to maximize network throughput for SSSC, a novel sensing method to minimize searching time for SSMC, partial cooperative spectrum sensing mechanism for MSMC, and setting a spectrum pool in the fusion center to record the channel states for MSMC. Simulation results demonstrate that our methods can improve spectrum efficiency, network throughput and channel utilization, especially when the spectrum is utilized inadequately.
Year
DOI
Venue
2015
10.1016/j.compeleceng.2014.10.011
Computers & Electrical Engineering
Keywords
Field
DocType
Cognitive radio network,Interference temperature,Cooperative spectrum sensing,Spectrum detection
Computer science,Computer network,Communication channel,Real-time computing,Electronic engineering,Fusion center,Interference (wave propagation),Spectral efficiency,Throughput,Cognitive radio
Journal
Volume
Issue
ISSN
42
C
0045-7906
Citations 
PageRank 
References 
3
0.37
17
Authors
5
Name
Order
Citations
PageRank
Zhaolong Ning155350.11
Yao Yu2746.72
Qingyang Song359251.74
Yuhuai Peng4957.99
Bo Zhang511611.83