Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
Elements of information theory
Elements of information theory
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Approximate Dynamic Programming: Solving the Curses of Dimensionality (Wiley Series in Probability and Statistics)
Optimal multiband joint detection for spectrum sensing in cognitive radio networks
IEEE Transactions on Signal Processing
Autocorrelation-based decentralized sequential detection of OFDM signals in cognitive radios
IEEE Transactions on Signal Processing
Optimal selection of channel sensing order in cognitive radio
IEEE Transactions on Wireless Communications
Rate-optimal and reduced-complexity sequential sensing algorithms for cognitive OFDM radios
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Algorithms for dynamic spectrum access with learning for cognitive radio
IEEE Transactions on Signal Processing
Spectrum sensing measurements of pilot, energy, and collaborative detection
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Distributed Structures, Sequential Optimization, and Quantization for Detection
IEEE Transactions on Signal Processing
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
On the extraction of the channel allocation information in spectrum pooling systems
IEEE Journal on Selected Areas in Communications
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
HC-MAC: A Hardware-Constrained Cognitive MAC for Efficient Spectrum Management
IEEE Journal on Selected Areas in Communications
Regression methods for pricing complex American-style options
IEEE Transactions on Neural Networks
Rate-optimal and reduced-complexity sequential sensing algorithms for cognitive OFDM radios
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
A decentralized MAC protocol for opportunistic spectrum access in cognitive wireless networks
Computer Communications
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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 the effective average data rate of CR transmitters. A constrained dynamic programming problem is formulated to obtain the policy that chooses the best time to stop taking measurements and the best set of channels to access for data transmission, while adhering to hard "collision" constraints imposed to protect primary links. Given the associated Lagrange multipliers, the optimal access policy is obtained in closed form, and the subsequent problem reduces to an optimal stopping problem. A basis expansion-based sub-optimal strategy is employed to mitigate the prohibitive computational complexity of the optimal stopping policy. A novel on-line implementation based on the recursive least-squares (RLS) algorithm along with a stochastic dual update procedure is then developed to obviate the lengthy training phase of the batch scheme. Cooperative sequential sensing generalizations are also provided with either raw or quantized measurements collected at a central processing unit. The numerical results presented verify the efficacy of the proposed algorithms.