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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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Book Chapter

Multimedia commmmunication in cognitive radio ad hoc and sensor networks

TL;DR: Small and low-cost sensor nodes are available, thanks to developments in micro-electro-mechanical systems (MEMS) technology, and they are deployed in specific regions of interest and forms wireless ad hoc networks, namely wireless sensor networks (WSNs).

Towards Self-Configuration Techniques for Cognitive Radio Networks

TL;DR: In this paper, the authors report on the mechanisms that can help radio networks to be self-configured, including channels aware schedulers, location aware scheduler, autonomous mechanisms and self-adjusting frequency reuse mechanisms.
Journal ArticleDOI

Perfromance Analysis of aTree Routing Protocol for Cognitive Radio Network Under Impact of Different Primary User Activity Patterns.

TL;DR: Simulation results confirm that C-TRP outperforms “spectrum-tree based on demand routing protocol for multi-hopcognitive radio networks” (STOD-RP), and Cognitive Tree-based Routing (CTBR) in terms of packetdelivery ratio and causes less harmful interference to PR nodes, and also less end-to-end delay in all primary radio nodes activity patterns.
Book ChapterDOI

Fuzzy Reinforcement Learning for Routing in Multi-Hop Cognitive Radio Networks

TL;DR: The proposed fuzzy reinforcement learning method learns the best routing with a guarantee that the interference at the primary receivers is below the threshold and focuses on the problem of effective routing solutions in multi-hop CRNs.

Literature review on Energy Efficiency of Base Stations and Improving Energy Efficiency of a network through Cognitive Radio

TL;DR: This research concentrates on various approaches for energy efficiency in base stations and identifies the best technologies that best suits the base station platform in terms of energy efficiency.
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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