Topic
Cognitive network
About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.
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01 Oct 2012
TL;DR: This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics.
Abstract: This book discusses in-depth the concept of distributed artificial intelligence (DAI) and its application to cognitive communicationsIn this book, the authors present an overview of cognitive communications, encompassing both cognitive radio and cognitive networks, and also other application areas such as cognitive acoustics. The book also explains the specific rationale for the integration of different forms of distributed artificial intelligence into cognitive communications, something which is often neglected in many forms of technical contributions available today. Furthermore, the chapters are divided into four disciplines: wireless communications, distributed artificial intelligence, regulatory policy and economics and implementation. The book contains contributions from leading experts (academia and industry) in the field.Key Features:Covers the broader field of cognitive communications as a whole, addressing application to communication systems in general (e.g. cognitive acoustics and Distributed Artificial Intelligence (DAI)Illustrates how different DAI based techniques can be used to self-organise the radio spectrumExplores the regulatory, policy and economic issues of cognitive communications in the context of secondary spectrum accessDiscusses application and implementation of cognitive communications techniques in different application areas (e.g. Cognitive Femtocell Networks (CFN)Written by experts in the field from both academia and industryCognitive Communications will be an invaluable guide for research community (PhD students, researchers) in the areas of wireless communications, and development engineers involved in the design and development of mobile, portable and fixed wireless systems., wireless network design engineer. Undergraduate and postgraduate students on elective courses in electronic engineering or computer science, and the research and engineering community will also find this book of interest.
19 citations
22 Jun 2009
TL;DR: Simulation results highlight that the adoption of an energy-efficient, sensing-aware clustering algorithm in the sensing procedure can significantly improve both sensing reliability and network lifetime in secondary cognitive networks.
Abstract: This work proposes a novel algorithm for energyefficient and reliable spectrum sensing in a cognitive network. The algorithm relies on cooperation between secondary devices, that organize themselves in clusters defined according to both sensing reliability and energy efficiency. The proposed algorithm is compared by means of computer simulations with a simpler, non cluster-based cooperative sensing scheme. Simulation results highlight that the adoption of an energy-efficient, sensing-aware clustering algorithm in the sensing procedure can significantly improve both sensing reliability and network lifetime in secondary cognitive networks.
19 citations
17 Jul 2010
TL;DR: This paper analyzed the architecture of cognitive radio networks and emphatically discussed the possible various DoS attacks in ad hoc Cognitive radio networks in different protocol layers.
Abstract: As we know, secure communication is the key of success for any wireless network. Denial of Service (DoS) attacks is severe in all the attacks in security of wireless network. Furthermore, cognitive radio networks are vulnerable to DoS attack due to their own characteristics. This paper analyzed the architecture of cognitive radio networks and emphatically discussed the possible various DoS attacks in ad hoc cognitive radio networks in different protocol layers.
19 citations
TL;DR: The beamforming vectors of the cognitive link are designed to maximize the achievable rate under the condition that the interference both at the primary and cognitive receivers is completely nullified.
Abstract: In this paper, we propose jointly-optimized beamforming algorithms for cognitive networks to maximize the achievable rates, where primary and cognitive users share the same spectrum and are equipped with multiple antennas. We consider the transmission of a single information stream in both primary and secondary links. No coordination is required between the primary and cognitive users and the interference cancellation is done at the cognitive user. Specifically, the beamforming vectors of the cognitive link are designed to maximize the achievable rate under the condition that the interference both at the primary and cognitive receivers is completely nullified. Furthermore, it is proved that the achievable rate of a general NtC × 2 (NtC transmit antennas at the cognitive transmitter and 2 receive antennas at the cognitive receiver) cognitive multiple-input multiple-output (MIMO) link employing the optimal proposed beamformers (which completely nullifies the interference to and from the primary link while maximizing its own achievable rate) is the same as the rate of an interference-free (NtC-1)×1 multiple-input single-output (MISO) link employing an optimal maximal ratio transmission beamforming vector. The sum rate performance of the proposed algorithms is evaluated by Monte Carlo simulations. The impact of the number of transmit and receive antennas on the proposed algorithm is also discussed.
19 citations
19 Apr 2009
TL;DR: This work investigates the optimization of access and power control for a network with two groups of users where transmission by the second group is constrained by the process distortion generated to the first group, and defines a novel interference measure called process distortion that takes this effect into account.
Abstract: We present a novel optimization framework based on stochastic control and Markov theory for wireless networks where users concurrently access the channel and implement retransmission-based error control. In order to let users transmit at the same time, we consider an interference mitigation, rather than a collision avoidance approach. Our focus is on the interaction between the stochastic processes modeling the various individual sources of the network. Due to retransmissions, transmission by a user does not only instantaneously interfere with other simultaneous communications, but also biases the future evolution of the stochastic processes describing the other users. We, thus, define a novel interference measure called process distortion, that takes this effect into account. We investigate the optimization of access and power control for a network with two groups of users where transmission by the second group is constrained by the process distortion generated to the first group. We present algorithms to solve the unconstrained and constrained infinite horizon average cost per stage problems modeling this scenario. We discuss in detail the application of this framework to cognitive networks.
19 citations