Performance of power detector sensors of DTV signals in IEEE 802.22 WRANs
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
In-band spectrum sensing in cognitive radio networks: energy detection or feature detection?
Proceedings of the 14th ACM international conference on Mobile computing and networking
Optimal spectrum sensing framework for cognitive radio networks
IEEE Transactions on Wireless Communications
Impact of mobility on spectrum sensing in cognitive radio networks
Proceedings of the 2009 ACM workshop on Cognitive radio networks
Spatio-temporal fusion for small-scale primary detection in cognitive radio networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
Cognitive radios for dynamic spectrum access: from concept to reality
IEEE Wireless Communications
Reliable telemetry in white spaces using remote attestation
Proceedings of the 27th Annual Computer Security Applications Conference
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Power and Time Allocation Between Multiple Channels in Cognitive Radio Networks
Wireless Personal Communications: An International Journal
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In cognitive radio networks (CRNs), regulatory bodies, such as the FCC, enforce an extremely demanding detectability requirement to protect primary users' communications, which can hardly be achieved with one-time sensing using only a single sensor. Most of the previous work focused on either cooperative sensing or sensing scheduling as a viable means to improve the detection performance without studying their interactions. In this paper, we propose an optimal spectrum sensing framework in CRNs that jointly exploits sensors' cooperation and sensing scheduling to meet the desired detection performance with minimum sensing overhead. Specifically, we propose an optimal sensing framework for the IEEE 802.22 wireless regional area networks (WRANs) that directs the base station (BS) to manage spectrum sensing by (i) constructing each primary signal's spatial profile of received signal strengths (RSSs) as a detection criterion, (ii) selecting an optimal set of sensors for cooperative sensing, and (iii) finding an optimal time to stop sensing. This framework will ensure the desired sensing performance of 802.22 with minimum sensing overhead. Our evaluation results show that the proposed sensing algorithms reduce the sensing overhead significantly and lower the feasible operation region of energy detector by 13 dB for practical scenarios.