Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
IEEE Spectrum
Optimal cooperative spectrum sensing in cognitive sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Optimal selection of channel sensing order in cognitive radio
IEEE Transactions on Wireless Communications
Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks
IEEE Transactions on Wireless Communications
A review on spectrum sensing for cognitive radio: challenges and solutions
EURASIP Journal on Advances in Signal Processing - Special issue on advanced signal processing for cognitive radio networks
Optimization of cooperative sensing in cognitive radio networks: a sensing-throughput tradeoff view
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Evolutionary cooperative spectrum sensing game: how to collaborate?
IEEE Transactions on Communications
Computationally tractable model of energy detection performance over slow fading channels
IEEE Communications Letters
Optimal multi-channel cooperative sensing in cognitive radio networks
IEEE Transactions on Wireless Communications
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Joint iterative algorithm for optimal cooperative spectrum sensing in cognitive radio networks
Computer Communications
A MAC Sensing Protocol Design for Data Transmission with More Protection to Primary Users
IEEE Transactions on Mobile Computing
Hi-index | 0.24 |
In this paper, optimal multiple channels cooperative spectrum sensing setting in non-identical environment is investigated. In previous works on cooperative sensing, the secondary users are assumed to have the same detection threshold and the noise received is assumed to be independent identically distributed random variable. Thus researchers often assume that identical sensing time is assigned to the channels for spectrum sensing. In our paper, secondary users cooperatively sense the channel and send the binary results to the common receiver where energy detection with hard decision rule is employed. We assume that secondary users can assign non-identical sensing time to the channel with possibly different noise powers and detection thresholds. An iterative algorithm with polynomial complexity is established to determine the optimal sensing sequence (which represents the order at which the secondary users sense the channels) for the secondary users to assign the mini-slots (minimum sensing unit) to sense the channels, such that the throughput increase can be maximized in each iteration. Furthermore, delay sensitivity is introduced as a new performance metric to evaluate how long the authorized transmitting users need to wait for data transmission. Simulation results show that our algorithm is highly effective in improving the achievable throughput and delay sensitivity.