Low complexity multichannel spectrum prediction algorithm based on optimized neural network for spectrum allocation in cognitive radio internet of things-Reference-Cited by-同舟云学术

Low complexity multichannel spectrum prediction algorithm based on optimized neural network for spectrum allocation in cognitive radio internet of things

Published:2022-06-12 Issue:9 Volume:33 Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Tidjani Sayhia¹^ORCID,Hammoudi Zoheir¹^ORCID,Moad Mohammed Essayah²

Affiliation:

1. Signaux et Systèmes de Communication “SISCOM” Laboratory, Department of Electronics University of Frères Mentouri of Constantine 1 Constantine Algeria

2. Electrical Engineering Laboratory (LAGE), Department of Electronics and Telecommunications University of Kasdi Merbah of Ouargla Ouargla Algeria

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4562

Reference20 articles.

1. Cognitive radio: making software radios more personal

2. Performance measurements of communication access technologies and improved cognitive radio model for smart grid communication

3. An effective spectrum sensing in cognitive radio networks using improved convolution neural network by glow worm swarm algorithm;Danesh K;Trans Emerg Telecommun Technol,2021

4. Performance analysis of spectrum sensing techniques over TWDP fading channels for CR based IoTs

5. McHenryMA TenhulaPA McCloskeyD RobersonDA HoodCS.Chicago spectrum occupancy measurements & analysis and a long‐term studies proposal. Proceedings of the 1st International Workshop on Technology and Policy for Accessing Spectrum. TAPAS '06;2006:1‐es; Association for Computing Machinery New York NY.

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