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This paper deals with the resource allocation task for the uplink of OFDMA-based cognitive radio (CR) systems. A weighted sum-rate maximization problem is formulated to optimize the subcarrier assignment as well as the power loading per CR user, while protecting the primary user (PU) systems. Since the CR-to-PU channels may not be accurately acquired, the PU interference constraint is cast as a chance...
A weighted sum-rate maximization problem is considered for an access point (AP) allocating resources to wireless cognitive radios (CRs) communicating using orthogonal frequency-division multiple access (OFDMA). To protect the incumbent primary user (PU) system operating over the same frequency band, the interference inflicted to the PU receiver must be regulated. Since the channel gain estimates from...
Spectrum sensing algorithms are developed for cognitive radios to support real-time traffic. Multiple bands are sensed in parallel to reduce sensing delay, while meeting a minimum rate requirement with a prescribed outage probability. Interference constraints are also imposed to protect primary user (PU) transmissions. Both fixed sample size (FSS) and sequential sensing algorithms are developed. In...
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...
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