Energy Consumption for Cognitive Radio Network Enabled Multi-Access Edge Computing-Reference-Cited by-同舟云学术

Energy Consumption for Cognitive Radio Network Enabled Multi-Access Edge Computing

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Elnaim Areeg Ali¹,Babeker Amin¹,Barakat Mohammed²,Gaid Abdulguddoos S.A.³,Saeed Mamoon M.⁴,Ahmed Zainab. E.⁵,Saeed Rashid A.⁶

Affiliation:

1. College of Engineering and Communication, Alneelain University,Khartoum,Sudan

2. School of Electronics Engineering, Sudan University of Science and Technology,Khartoum,Sudan

3. Taiz University,Dept. of Communication & Computer Engineering,Taiz,Yemen

4. University of Modern Sciences (UMS),Faculty of Engineering,Department of Communications and Electronics Engineering,Yemen

5. Gezira University,Department of Electrical and Computer Engineering,Khartoum,Sudan

6. College of Computers and Information Technology, Taif University,Department of Computer Engineering,Taif,Saudi,21944

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293182/10293222/10293270.pdf?arnumber=10293270

Reference48 articles.

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3. Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT

4. Developing a standard for TV white space coexistence: technical challenges and solution approaches

5. Design of cultural emperor penguin optimizer for energy-efficient resource scheduling in a green cloud computing environment;mansour;Cluster Comput,2022

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