Cluster Control and Energy Consumption Minimization for Cooperative Prediction Based Spectrum Sensing in Cognitive Radio Networks-Reference-Cited by-同舟云学术

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Cluster Control and Energy Consumption Minimization for Cooperative Prediction Based Spectrum Sensing in Cognitive Radio Networks

Published:2023-09 Issue:9 Volume:71 Page:5580-5594
ISSN:0090-6778
Container-title:IEEE Transactions on Communications
language:
Short-container-title:IEEE Trans. Commun.

Author:

Nie Dawei¹^ORCID,Yu Wenjuan¹^ORCID,Ni Qiang¹^ORCID,Pervaiz Haris²^ORCID,Min Geyong³^ORCID

Affiliation:

1. InfoLab21, School of Computing and Communications, Lancaster University, Lancaster, U.K

2. School of Computer Science and Electronic Engineering (CSEE), University of Essex, Colchester, U.K

3. Department of Computer Science, University of Exeter, Exeter, U.K

Funder

European Union’s Horizon 2020 SANCUS project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/26/10252108/10155417.pdf?arnumber=10155417

Reference30 articles.

1. Nash Bargaining Game Theoretic Scheduling for Joint Channel and Power Allocation in Cognitive Radio Systems

2. Opportunistic Spectrum Access in Support of Ultra-Reliable and Low Latency Communications

3. Cognitive radio networking and communications: an overview

4. Sensing-throughput tradeoff for cognitive radio networks: A multiple-channel scenario

5. Spectrum and energy efficiency of cooperative spectrum prediction in cognitive radio networks;shaghluf;Wireless Netw,2018

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. QoS-Aware Smart Resource Allocation for Green Cognitive Radio Networks;Advances in Wireless Technologies and Telecommunication;2024-06-14

2. Improved energy efficiency using adaptive ant colony distributed intelligent based clustering in wireless sensor networks;Scientific Reports;2024-02-22

3. Optimal Deep Learning Empowered Malicious User Detection for Spectrum Sensing in Cognitive Radio Networks;IEEE Access;2024

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