Wireless Engineering and Technology

Volume 6, Issue 2 (April 2015)

ISSN Print: 2152-2294   ISSN Online: 2152-2308

Google-based Impact Factor: 1.88  Citations  

Throughput Estimation with Noise Uncertainty for Cyclostationary Feature Detector in Cognitive Radio Network

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DOI: 10.4236/wet.2015.62003    4,466 Downloads   4,954 Views  
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ABSTRACT

Cognitive Radio Networks (CRNs) are recognized as the enabling technology for improving the future bandwidth utilization. In CRNs secondary users are allowed to utilize the frequency bands of primary users when these bands are not currently being used. The secondary users are required to sense the radio frequency environment. The lower the probability of false alarm, the more chances the channel can be reused and the higher the achievable throughput for the secondary network. The main contribution of this paper is to formulate the sensing-throughput-noise uncertainty tradeoff for cyclostationary feature detection. Computer simulations have shown that for a 1 MHz channel, when the sensing duration is 2% of total time, the spectrum will get 99% probability of detection regardless of 50% noise uncertainty.

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Tantawy, M. (2015) Throughput Estimation with Noise Uncertainty for Cyclostationary Feature Detector in Cognitive Radio Network. Wireless Engineering and Technology, 6, 25-32. doi: 10.4236/wet.2015.62003.

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