Capacity- and Bayesian-Based Cognitive Sensing with Location Side Information

— We investigate spectrum sensing by energy detection based on two different objective functions: a Bayesian sensing cost or the network weighted sum capacity. The Bayesian cost is a traditional detection measure which aims at minimizing a combination of the miss-detection and false-alarm probabilities, while the capacity objective is a communication measure which aims at maximizing the network throughput. Fading-dependent optimal sensing thresholds for each objective are derived in closed-form for different cases of location side information. To make sensing more robust to channel fading, we also propose fading-independent sub-optimal thresholds. Results show that location side information helps improve performance when using the threshold designed for that performance measure. However, the Bayesian-based threshold does not utilize the side information well in improving the network sum capacity. On the other hand, the capacity-based threshold captures the benefit of side informatio...

• Type: Journal
• Year: 2011
• Where: JSAC
• Authors: Peng Jia, Mai Vu, Tho Le-Ngoc, Seung-Chul Hong, Vahid Tarokh
• Keywords: Bayesian Cost, JSAC 2011, Sensing, Sum Capacity