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Open AccessJournal ArticleDOI

Optimal multi-channel cooperative sensing in cognitive radio networks

Rongfei Fan, +1 more
- 01 Mar 2010 - 
- Vol. 9, Iss: 3, pp 1128-1138
TLDR
In this paper, optimal multi-channel cooperative sensing strategies in cognitive radio networks are investigated and a polynomial-complexity algorithm is proposed to solve the problem optimally.
Abstract
In this paper, optimal multi-channel cooperative sensing strategies in cognitive radio networks are investigated. A cognitive radio network with multiple potential channels is considered. Secondary users cooperatively sense the channels and send the sensing results to a coordinator, in which energy detection with a soft decision rule is employed to estimate whether there are primary activities in the channels. An optimization problem is formulated, which maximizes the throughput of secondary users while keeping detection probability for each channel above a pre-defined threshold. In particular, two sensing modes are investigated: slotted-time sensing mode and continuous-time sensing mode. With a slotted-time sensing mode, the sensing time of each secondary user consists of a number of mini-slots, each of which can be used to sense one channel. The initial optimization problem is shown to be a nonconvex mixed-integer problem. A polynomial-complexity algorithm is proposed to solve the problem optimally. With a continuous-time sensing mode, the sensing time of each secondary user for a channel can be any arbitrary continuous value. The initial nonconvex problem is converted into a convex bilevel problem, which can be successfully solved by existing methods. Numerical results are presented to demonstrate the effectiveness of our proposed algorithms.

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Citations
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Journal ArticleDOI

Energy detector performance over log-normal fading channel with diversity reception

TL;DR: In this article, the performance of energy detection (ED)-based spectrum-sensing in cognitive radio (CR) networks over the Log-Normal (LN) fading channel has been analyzed.
Proceedings ArticleDOI

Adaptive multi-channel spectrum sensing throughput tradeoff

TL;DR: Simulation results show that significant gains in the throughput of the secondary users are achieved through jointly optimizing the resource allocation factor and number of iterations in channel exploration.
Proceedings ArticleDOI

A Mini-Slot Sensing with Selective Coordinator in Cognitive Radio System

TL;DR: It is proved that in mini-slot sensing, not all slots do benefits to CR system, and a Greedy based two stage assignment method is proposed as the sub-optimal solution.
Proceedings ArticleDOI

Joint optimal sensing time and number of cooperative users in OR-RULE cooperative spectrum sensing

TL;DR: Simulation results show that the significant improvement on the throughput of cognitive radio can be achieved through the proposed joint optimization algorithm.
Journal ArticleDOI

Multichannel cooperative sensing for cognitive radio with users owning heterogeneous sensing ability

TL;DR: This paper studies the MCS problem for secondary users with heterogeneous sensing ability in terms of sensing accuracy, and proposes a heuristic scheme, which has approximate performance compared with the exact scheme.
References
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Book

Convex Optimization

TL;DR: In this article, the focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them, and a comprehensive introduction to the subject is given. But the focus of this book is not on the optimization problem itself, but on the problem of finding the appropriate technique to solve it.
Journal ArticleDOI

Cognitive radio: brain-empowered wireless communications

TL;DR: Following the discussion of interference temperature as a new metric for the quantification and management of interference, the paper addresses three fundamental cognitive tasks: radio-scene analysis, channel-state estimation and predictive modeling, and the emergent behavior of cognitive radio.
Journal ArticleDOI

Sensing-Throughput Tradeoff for Cognitive Radio Networks

TL;DR: This paper designs the sensing duration to maximize the achievable throughput for the secondary network under the constraint that the primary users are sufficiently protected, and forms the sensing-throughput tradeoff problem mathematically, and uses energy detection sensing scheme to prove that the formulated problem indeed has one optimal sensing time which yields the highest throughput.
Journal ArticleDOI

Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework

TL;DR: An analytical framework for opportunistic spectrum access based on the theory of partially observable Markov decision process (POMDP) is developed and cognitive MAC protocols that optimize the performance of secondary users while limiting the interference perceived by primary users are proposed.
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