JOURNAL ARTICLE

Optimisation of cooperative spectrum sensing via optimal power allocation in cognitive radio networks

Arash OstovarZheng Chang

Year: 2017 Journal:   IET Communications Vol: 11 (13)Pages: 2116-2124   Publisher: Institution of Engineering and Technology

Abstract

To detect the presence of primary users, spectrum sensing is considered as one of the most important and basic functions of cognitive radio. To improve the detection probability in spectrum sensing, this study mainly investigates the effect of channel gain and signal‐to‐noise ratio to secondary users (SUs) cooperation in weighted combining energy detection. In particular, with the objective to maximise the detection probability, optimal linear combining weights are derived as well as optimal transmit power of each SUs for sensing data transmission from the SUs to the fusion centre. Simulation results indicate that the detection probability can be improved by the presented scheme and the performance of the proposed method outperforms some recent works detection.

Keywords:
Cognitive radio Computer science Statistical power Transmission (telecommunications) Transmitter power output Channel (broadcasting) Detection theory Energy (signal processing) Signal-to-noise ratio (imaging) Power (physics) Algorithm Telecommunications Wireless Transmitter Mathematics Statistics Detector

Metrics

8
Cited By
1.65
FWCI (Field Weighted Citation Impact)
32
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Distributed Sensor Networks and Detection Algorithms
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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