Article

CogNet: an architectural foundation for experimental cognitive radio networks within the future internet

Authors:

Dipankar Raychaudhuri,

Narayan B. Mandayam,

Joseph B. Evans,

Benjamin J. Ewy,

Srinivasan Seshan,

Peter SteenkisteAuthors Info & Claims

MobiArch '06: Proceedings of first ACM/IEEE international workshop on Mobility in the evolving internet architecture

Pages 11 - 16

https://doi.org/10.1145/1186699.1186707

Published: 01 December 2006 Publication History

Abstract

This paper describes a framework for research on architectural tradeoffs and protocol designs for cognitive radio networks at both the local network and the global internetwork levels. Several key architectural issues for cognitive radio networks are discussed, including control and management protocols, support for collaborative PHY, dynamic spectrum coordination, flexible MAC layer protocols, ad hoc group formation and cross-layer adaptation. The overall goal of this work is the design and validation of the control/management and data interfaces between cognitive radio nodes in a local network, and also between cognitive radio networks and the global Internet. Protocol design and implementation based on this framework will result in the CogNet architecture, a prototype open-source cognitive radio protocol stack. Experimental evaluations on emerging cognitive radio platforms are planned for future work, first in a wireless local-area radio network scenario using wireless testbeds such as ORBIT, and later as part of several end-to-end experiments using a wide-area network testbed such as PlanetLab (and GENI in the future).

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Cited By

Ameri RMeybodi M(2024)Cognitive blockchain and its application to optimize performance in blockchain systemsTransactions on Emerging Telecommunications Technologies10.1002/ett.500935:7Online publication date: 19-Jun-2024
https://doi.org/10.1002/ett.5009
Rai ASehgal ASingal TAgrawal R(2020)Spectrum Sensing and Allocation Schemes for Cognitive RadioMachine Learning and Cognitive Computing for Mobile Communications and Wireless Networks10.1002/9781119640554.ch5(91-129)Online publication date: 10-Jul-2020
https://doi.org/10.1002/9781119640554.ch5
Isolani PClaeys MDonato CGranville LLatre S(2019)A Survey on the Programmability of Wireless MAC ProtocolsIEEE Communications Surveys & Tutorials10.1109/COMST.2018.288176121:2(1064-1092)Online publication date: Oct-2020
https://doi.org/10.1109/COMST.2018.2881761
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Index Terms

CogNet: an architectural foundation for experimental cognitive radio networks within the future internet
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
2. Networks

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cover image ACM Conferences

MobiArch '06: Proceedings of first ACM/IEEE international workshop on Mobility in the evolving internet architecture

December 2006

92 pages

ISBN:1595935665

DOI:10.1145/1186699

Program Chairs:
Xiaoming Fu
University of Goettingen, Germany
,
Katherine Guo
Bell Laboratories, Lucent Technologies

Copyright © 2006 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 December 2006

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MobiArch06: First International Workshop on Mobility in the Evolving Internet Architecture

December 1, 2006

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Ameri RMeybodi M(2024)Cognitive blockchain and its application to optimize performance in blockchain systemsTransactions on Emerging Telecommunications Technologies10.1002/ett.500935:7Online publication date: 19-Jun-2024
https://doi.org/10.1002/ett.5009
Rai ASehgal ASingal TAgrawal R(2020)Spectrum Sensing and Allocation Schemes for Cognitive RadioMachine Learning and Cognitive Computing for Mobile Communications and Wireless Networks10.1002/9781119640554.ch5(91-129)Online publication date: 10-Jul-2020
https://doi.org/10.1002/9781119640554.ch5
Isolani PClaeys MDonato CGranville LLatre S(2019)A Survey on the Programmability of Wireless MAC ProtocolsIEEE Communications Surveys & Tutorials10.1109/COMST.2018.288176121:2(1064-1092)Online publication date: Oct-2020
https://doi.org/10.1109/COMST.2018.2881761
Qi LZhou LDou Z(2016)A modified dynamic spectrum access method to enhance spectrum efficiency2016 IEEE International Conference on Electronic Information and Communication Technology (ICEICT)10.1109/ICEICT.2016.7879668(138-141)Online publication date: Aug-2016
https://doi.org/10.1109/ICEICT.2016.7879668
Saghiri AMeybodi M(2016)An approach for designing cognitive engines in cognitive peer-to-peer networksJournal of Network and Computer Applications10.1016/j.jnca.2016.05.01270:C(17-40)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.jnca.2016.05.012
(2016)Cognitive radio for M2M and Internet of ThingsComputer Communications10.1016/j.comcom.2016.07.01294:C(1-29)Online publication date: 15-Nov-2016
https://dl.acm.org/doi/10.1016/j.comcom.2016.07.012
Bharatula SMeenakshi M(2016)Design of Cognitive Radio Network for Hospital Management SystemWireless Personal Communications: An International Journal10.1007/s11277-016-3280-290:2(1021-1038)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1007/s11277-016-3280-2
Ezirim KSengupta SJi P(2015)Distributed Mechanisms for Multiple Channel Acquisition in a System of Uncoordinated Cognitive Radio NetworksHandbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management10.4018/978-1-4666-6571-2.ch014(368-387)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6571-2.ch014
Kumbhkar RKuber TSridharan GNarayan BMandayam Seskar I(2015)Opportunistic spectrum allocation for max-min rate in NC-OFDMA2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)10.1109/DySPAN.2015.7343934(385-391)Online publication date: Sep-2015
https://doi.org/10.1109/DySPAN.2015.7343934
Kumbhkar RIslam MMandayam NSeskar I(2015)Rate optimal design of a wireless backhaul network using TV white space2015 7th International Conference on Communication Systems and Networks (COMSNETS)10.1109/COMSNETS.2015.7098691(1-7)Online publication date: Jan-2015
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