Optimal multi-channel cooperative sensing in cognitive radio networks
Rongfei Fan,Hai Jiang +1 more
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.read more
Citations
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Journal Article
Capacity Optimization in Cooperative Cognitive Radio Networks
TL;DR: An efficient central capacity optimization algorithm is proposed to minimize cooperative sensing time in a homogenous sensor network using OR decision rule subject to the detection and false alarm probabilities constraints.
Proceedings ArticleDOI
A novel frame structure for centralized cooperative cognitive networks to achieve overhead-throughput tradeoff
TL;DR: Numerical results show that under the proposed frame structure, there exists an optimal number of reporting SUs to achieve overhead-throughput tradeoff, and maximize the achievable throughput of the cognitive network.
Proceedings ArticleDOI
An analysis of competition among autonomous devices in multichannel cognitive radios networks
TL;DR: This paper investigates an autonomous opportunistic spectrum access (OSA) strategy for a multichannel cognitive radio (CR) network, and finds that, when the number of potentially available channels is not large as compared to thenumber of CRs in the network, then having more free channels beyond a certain number actually hurts the CRs.
Proceedings ArticleDOI
A Virtual Grid Sensing Strategy Based on Three Regions of Cognitive Radio System
Lijun Peng,Jing Zhang,Wei Luo +2 more
TL;DR: In this paper, a virtual grid sensing strategy based on three regions of cognitive radio system is investigated and it is shown that the proposed strategy has a better performance than the traditional sensing strategy.
References
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Book
Convex Optimization
Stephen Boyd,Lieven Vandenberghe +1 more
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.