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Journal ArticleDOI

Routing in cognitive radio networks: Challenges and solutions

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TLDR
This work provides an extensive overview of the research in the field of routing for CRNs, clearly differentiating two main categories: approaches based on a full spectrum knowledge, and approaches that consider only local spectrum knowledge obtained via distributed procedures and protocols.
Abstract
Cognitive radio networks (CRNs) are composed of cognitive, spectrum-agile devices capable of changing their configurations on the fly based on the spectral environment. This capability opens up the possibility of designing flexible and dynamic spectrum access strategies with the purpose of opportunistically reusing portions of the spectrum temporarily vacated by licensed primary users. On the other hand, the flexibility in the spectrum access phase comes with an increased complexity in the design of communication protocols at different layers. This work focuses on the problem of designing effective routing solutions for multi-hop CRNs, which is a focal issue to fully unleash the potentials of the cognitive networking paradigm. We provide an extensive overview of the research in the field of routing for CRNs, clearly differentiating two main categories: approaches based on a full spectrum knowledge, and approaches that consider only local spectrum knowledge obtained via distributed procedures and protocols. In each category we describe and comment on proposed design methodologies, routing metrics and practical implementation issues. Finally, possible future research directions are also proposed.

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Citations
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Proceedings ArticleDOI

Opportunistic spectrum allocation for max-min rate in NC-OFDMA

TL;DR: A framework for spectrum allocation that maximizes the minimum rate achieved by the cognitive radio links, under a constraint on the maximum permissible spectrum span is proposed and shown to be close to the trade-off boundary.
Journal ArticleDOI

Artificial Intelligence Based Cognitive Routing for Cognitive Radio Networks

TL;DR: In this paper, the authors provide a self-contained tutorial on various AI and machine learning techniques that can be used for developing cognitive routing protocols and survey the application of various classes of AI techniques to CRNs in general and to the problem of routing in particular.
Journal ArticleDOI

A Joint Routing and Time-Slot Assignment Algorithm for Multi-Hop Cognitive Radio Networks with Primary-User Protection

TL;DR: This paper forms the routing and time-slot assignment problem into a mixed integer linear programming (MILP) into an algorithm named RSAA (Routing and Slot Assignment Algorithm), and proposes an algorithm that can obtain near-optimal throughputs for SUs.
Journal ArticleDOI

A Review of Cross-layer Design in Dynamic Spectrum Access for Cognitive Radio Networks

TL;DR: This paper provides a comprehensive survey of cross-layer design in cognitive radio network and jointly considers the functions of the layers to maximize the performance of CR networks.
Journal ArticleDOI

CR-CEA: A collision- and energy-aware routing method for cognitive radio wireless sensor networks

TL;DR: A routing method for cognitive radio wireless sensor networks (CR-CEA) is presented, that is based on a cross-layer design that jointly considers route and spectrum selection and results reveal that by applying cognitive radio technology to WSNs and selecting a proper operating channel, it can consciously decrease collision probability.
References
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Journal ArticleDOI

NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey

TL;DR: The novel functionalities and current research challenges of the xG networks are explained in detail, and a brief overview of the cognitive radio technology is provided and the xg network architecture is introduced.

Cognitive Radio An Integrated Agent Architecture for Software Defined Radio

Joseph Mitola
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
Journal ArticleDOI

A survey on spectrum management in cognitive radio networks

TL;DR: Recent developments and open research issues in spectrum management in CR networks are presented and four main challenges of spectrum management are discussed: spectrum sensing, spectrum decision, spectrum sharing, and spectrum mobility.
Journal ArticleDOI

CRAHNs: Cognitive radio ad hoc networks

TL;DR: In this article, spectrum management functionalities such as spectrum sensing, spectrum sharing and spectrum decision, and spectrum mobility are introduced from the viewpoint of a network requiring distributed coordination, and a particular emphasis is given to distributed coordination between CR users through the establishment of a common control channel.
Proceedings ArticleDOI

White space networking with wi-fi like connectivity

TL;DR: This work presents the design and implementation of Net7, the first Wi-Fi like system constructed on top of UHF white spaces, which incorporates a new adaptive spectrum assignment algorithm to handle spectrum variation and fragmentation, and proposes a low overhead protocol to handle temporal variation.
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