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A sequential cooperative spectrum sensing algorithm is developed for multi-channel cognitive radio (CR) systems. Each CR quantizes the local observations to a single-bit datum per sample per channel, and relays the data sequentially to the fusion center for joint decision. The optimal trade-off between the sensing time and the sensing reliability is sought with the objective of maximizing the overall...
Effective spectrum sensing is a critical prerequisite for multi-channel cognitive radio (CR) networks, where multiple spectrum bands are sensed to identify transmission opportunities, while preventing interference to the primary users. The present paper develops sequential spectrum sensing algorithms which explicitly take into account the sensing time overhead, and optimize a performance metric capturing...
Sequential sensing algorithms are developed for OFDM-based hierarchical cognitive radio (CR) systems. Secondary users sense multiple sub-bands simultaneously for possible spectrum availabilities under hard miss-detection constraints to prevent interference to the primary users. Accounting for the fact that the sensing time overhead can often be significant, a performance metric is developed based...
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