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Bogale, T.E., Vandendorpe, L. and Le, L.B. (2014) Sensing Throughput Tradeoff for Cognitive Radio Networks with Noise Variance Uncertainty. CROWNCOM 2014—9th International Conference on Cognitive Radio Oriented Wireless Networks, Oulu, 2-4 June 2014.

has been cited by the following article:

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

  AUTHORS: Mohsen M. Tantawy

  KEYWORDS: Cognitive Radio Network, Cyclostationary Feature Detector, Throughput, Noise Uncertainty

  JOURNAL NAME: Wireless Engineering and Technology, Vol.6 No.2, June 5, 2015

  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.