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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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Proceedings ArticleDOI
12 Jul 2011
TL;DR: It is proved that for a fixed percentage of malicious users, the detection accuracy increases almost exponentially as the network size increases, and a simple but accurate approach is proposed that significantly reduces the complexity of the q-out-of-m scheme.
Abstract: This paper considers cooperative sensing in cognitive networks under Spectrum Sensing Data Falsification attack (SSDF) in which malicious users can intentionally send false sensing information. One effective method to deal with the SSDF attack is the q-out-of-m scheme, where the sensing decision is based on q sensing reports out of m polled nodes. The major limitation with the q-out-of-m scheme is its high computational complexity due to exhaustive search. In this paper, we prove that for a fixed percentage of malicious users, the detection accuracy increases almost exponentially as the network size increases. Motivated by this observation, as well as the linear relationship between the scheme parameters and the network size, we propose a simple but accurate approach that significantly reduces the complexity of the q-out-of-m scheme. The proposed approach can easily be applied to the large scale networks, which can be much more reliable under malicious attacks.

25 citations

Proceedings ArticleDOI
03 Nov 2011
TL;DR: A neural network prediction model of the spectrum is designed, and by simulation, spectrum occupancy state can be predicted and spectrum efficiency can be increased.
Abstract: Cognitive radio technology enables unauthorized users to use the same spectrum in the absence of interference. And spectrum sensing for non-authorized users perceive the availability of the channel is a very important tool. But the perceived need to consume a large spectrum of energy, and this part of the energy can be reduced by perceive of the spectrum holes. The use of reliable prediction methods, non-authorized users will perceive only the channel idle, which will not only reduce energy consumption, but also spectrum efficiency can be increased. In this paper, we design a neural network prediction model of the spectrum, by simulation, spectrum occupancy state can be predicted.

24 citations

Proceedings ArticleDOI
01 Dec 2012
TL;DR: A QoS based spectrum decision framework for cognitive radio networks which guarantees the QoS to the data packets by allocating the channel which can satisfy theQoS requirement is proposed.
Abstract: Recently cognitive radio has gained considerable interest by wireless communication researchers as a viable mean to solve the spectrum utilization problem. The advancement in this area has met with many challenges including in the field of spectrum decision. To this end we propose a QoS based spectrum decision framework for cognitive radio networks which guarantees the QoS to the data packets by allocating the channel which can satisfy the QoS requirement. This is done by categorizing the data packets and channels and then by providing a mapping between them. Four levels of packet priority is supported with this framework. Performance analysis is done to show the effectiveness of the proposed framework.

24 citations

Proceedings ArticleDOI
17 May 2004
TL;DR: In this paper a beyond 3G radio access network reference architecture supporting these requirements is presented and considers new deployment concepts such as multi-hop radio networks, moving networks and personal area networks.
Abstract: Today a multitude of radio access technologies exist and are continuously evolved to support higher bit rates, lower delays, lower cost, etc. In addition, new radio access technologies are developed to complement those of today. When using services in this environment with multiple radio access technologies, end users expect mobility between the different radio access technologies to be seamless. Network operators, in addition, look for efficient resource usage of different radio access technologies and more cost efficient ways to deploy networks. This requires increased flexibility in the radio access network architecture compared with today's architectures. In this paper a beyond 3G radio access network reference architecture supporting these requirements is presented. The architecture allows for various implementations and considers new deployment concepts such as multi-hop radio networks, moving networks and personal area networks.

24 citations

Proceedings ArticleDOI
01 Apr 2007
TL;DR: It is outlined how the introduction of distributed decision-making concepts improves the efficiency of the heterogeneous system in terms of i) signaling overhead, ii) reactivity of user mobile terminals (MTs) and iii) numerical resource selection optimization complexity on the network side.
Abstract: This contribution presents and discusses the system concept approach which has been proposed by the European Integrated Project IST-E2R II in the IEEE P1900.B Standardization Study Group (SG); it currently is under further elaboration in the framework of the follow-up IEEE P1900.4 Working Group (WG) whose Project Authorization Request (PAR) was accepted in December 2006. This effort targets reconfigurable (typically software defined radio (SDR) based) networks and terminals in a heterogeneous wireless environment, with multi-homing capable terminals enabling the users to operate multiple wireless links simultaneously. In order to ensure backwards compatibility to legacy standards, the approach is to introduce three new building blocks into the (existing and/or evolving) heterogeneous landscape: i) A network reconfiguration management module, ii) a radio enabler and iii) a terminal reconfiguration management module. Within this paper, the key functionalities of these building blocks are detailed and discussed; it is furthermore outlined how the introduction of distributed decision-making concepts improves the efficiency of the heterogeneous system in terms of i) signaling overhead, ii) reactivity of user mobile terminals (MTs) and iii) numerical resource selection optimization complexity on the network side.

24 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202317
202234
202175
2020104
2019121
2018134