research-article

COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Throughput Potential of Cognitive Radio: A Theoretical Perspective

Authors:

S. Srinivasa,

S. A. JafarAuthors Info & Claims

IEEE Communications Magazine, Volume 45, Issue 5

Pages 73 - 79

https://doi.org/10.1109/MCOM.2007.358852

Published: 01 May 2007 Publication History

Abstract

Cognitive radios are promising solutions to the problem of overcrowded spectrum. In this article we explore the throughput potential of cognitive communication. Different interpretations of cognitive radio that underlay, overlay, and interweave the transmissions of the cognitive user with those of licensed users are described. Considering opportunistic communication as a baseline, we investigate the throughput improvements offered by the overlay methods. Channel selection techniques for opportunistic access such as frequency hopping, frequency tracking, and frequency coding are presented. The trade-off between regulation and autonomy inherent in the design and performance of cognitive networks is examined through a simple example, which shows that the optimal amount of licensing is equal to the duty cycle of the traffic arrivals

Cited By

View all

Sasikumar SJayakumari J(2023)Novel Heuristic Subcarrier Allocation for Spectral: Energy Efficiency Tradeoff Improvement in Underlay Cognitive Radio NetworkWireless Personal Communications: An International Journal10.1007/s11277-023-10479-0131:2(1279-1293)Online publication date: 27-Apr-2023
https://dl.acm.org/doi/10.1007/s11277-023-10479-0
Perumal KKanmani Ruby EDhivya MAloy Anuja Mary GKavitha VKandasamy U(2022)Experimental Analysis Using USRP for Novel Wavelet-Based Spectrum Sensing for 2.2 GHZ Band Communication Using LabVIEWJournal of Nanomaterials10.1155/2022/49472242022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4947224
Singh J(2022)APC: Adaptive Power Control Technique for Multi-Radio Multi-Channel Cognitive Radio NetworksWireless Personal Communications: An International Journal10.1007/s11277-021-09103-w122:4(3603-3632)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s11277-021-09103-w
Show More Cited By

Recommendations

Dynamic spectrum access in underlay cognitive radio system with SINR constraints
WiCOM'09: Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing

How to improve the spectrum utility of the unlicensed uses (secondary users) without interfering the licensed spectrum holders' usage becomes a key issue in the cognitive radio system. In this paper, we consider an underlay cognitive radio system in ...
An overview on cooperative spectrum sensing in cognitive radios

With the advent of wireless technology, a large number of devices are continuously accessing the frequency spectrum. As the number of mobile devices is increasing, the contention for spectrum utilisation is seriously challenging the spectrum ...
Maximizing throughput with wireless spectrum sensing network assisted cognitive radios
Special issue on Spectrum-Efficient Wireless Sensor Networks

In a cognitive radio network (CRN), secondary users (SUs) utilize primary users (PUs) licensed spectrum in an opportunistic manner. Spectrum sensing is of the utmost importance in CRN to find and use the available spectrum without harmful interference ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image IEEE Communications Magazine

IEEE Communications Magazine Volume 45, Issue 5

May 2007

120 pages

ISSN:0163-6804

Issue’s Table of Contents

Publisher

IEEE Press

Publication History

Published: 01 May 2007

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

54
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 20 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Sasikumar SJayakumari J(2023)Novel Heuristic Subcarrier Allocation for Spectral: Energy Efficiency Tradeoff Improvement in Underlay Cognitive Radio NetworkWireless Personal Communications: An International Journal10.1007/s11277-023-10479-0131:2(1279-1293)Online publication date: 27-Apr-2023
https://dl.acm.org/doi/10.1007/s11277-023-10479-0
Perumal KKanmani Ruby EDhivya MAloy Anuja Mary GKavitha VKandasamy U(2022)Experimental Analysis Using USRP for Novel Wavelet-Based Spectrum Sensing for 2.2 GHZ Band Communication Using LabVIEWJournal of Nanomaterials10.1155/2022/49472242022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/4947224
Singh J(2022)APC: Adaptive Power Control Technique for Multi-Radio Multi-Channel Cognitive Radio NetworksWireless Personal Communications: An International Journal10.1007/s11277-021-09103-w122:4(3603-3632)Online publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1007/s11277-021-09103-w
Aggarwal MVelmurugan TNandakumar S(2021)Comparative Analysis of Algorithms Governing Spectrum Handoff in Cognitive Radio NetworksWireless Personal Communications: An International Journal10.1007/s11277-021-08677-9121:3(1423-1435)Online publication date: 1-Dec-2021
https://dl.acm.org/doi/10.1007/s11277-021-08677-9
Ye ZWang YWan P(2020)Joint Channel Allocation and Power Control Based on Long Short-Term Memory Deep Q Network in Cognitive Radio NetworksComplexity10.1155/2020/16280232020Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1155/2020/1628023
Xu YYu JBuehrer R(2020)The Application of Deep Reinforcement Learning to Distributed Spectrum Access in Dynamic Heterogeneous Environments With Partial ObservationsIEEE Transactions on Wireless Communications10.1109/TWC.2020.298422719:7(4494-4506)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1109/TWC.2020.2984227
Rezaie MDosaranian‐Moghadam MBakhshi HHassannejad Bibalan M(2020)Sum‐throughput maximization for overlay cognitive wireless powered network with energy harvesting capabilityTransactions on Emerging Telecommunications Technologies10.1002/ett.404631:10Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1002/ett.4046
Saad WShokair MIbraheem S(2019)On the Security of Relay Assisted Cognitive Radio Networks in the Presence of Primary Transceiver NetworkWireless Personal Communications: An International Journal10.1007/s11277-018-6062-1104:3(949-977)Online publication date: 1-Feb-2019
https://dl.acm.org/doi/10.1007/s11277-018-6062-1
Sethom KPujolle G(2018)Spectrum mobility management in cognitive two‐tier networksInternational Journal of Network Management10.1002/nem.201928:3Online publication date: 16-May-2018
https://dl.acm.org/doi/10.1002/nem.2019
Amin OAbediseid WAlouini M(2017)Impact of Improper Gaussian Signaling on the Achievable Rate of Overlay Cognitive Radio2017 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2017.7925572(1-6)Online publication date: 19-Mar-2017
https://dl.acm.org/doi/10.1109/WCNC.2017.7925572
Show More Cited By

Abstract

Cited By

Recommendations

Dynamic spectrum access in underlay cognitive radio system with SINR constraints

An overview on cooperative spectrum sensing in cognitive radios

Maximizing throughput with wireless spectrum sensing network assisted cognitive radios

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations