Quality of service optimization in orthogonal frequency division multiplexing‐based cognitive radio systems based on shuffled frog leaping algorithm-Reference-Cited by-同舟云学术

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Quality of service optimization in orthogonal frequency division multiplexing‐based cognitive radio systems based on shuffled frog leaping algorithm

Published:2021-10-18 Issue:1 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Benmammar Badr¹^ORCID

Affiliation:

1. LTT Laboratory University of Tlemcen Tlemcen Algeria

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6530

Reference28 articles.

1. Review of optical and wireless backhaul networks and emerging trends of next generation 5G and 6G technologies

2. Magnitude and Wrap-Phase OFDM for MIMO Visible Light Communication Systems

3. An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

4. Optimization of Resource Allocation Model With Energy-Efficient Cooperative Sensing in Green Cognitive Radio Networks

5. Interference-Aware QoS Guarantees in OFDM-Based Cognitive Radio Networks Based on Branch and Bound

Cited by 4 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. Shuffled frog Leaping algorithm based circular patterns loaded ring shaped fractal antenna for multistandard wireless applications;AEU - International Journal of Electronics and Communications;2024-03

2. Quality of Service Optimization for Green Cognitive Radio Network: a Comparative Study of Flower Pollination and AHP-TOPSIS Algorithm;2023 13th International Conference on Advanced Computer Information Technologies (ACIT);2023-09-21

3. A Comparative Study of Metaheuristics Based Task Scheduling in Cloud Computing;Modelling and Implementation of Complex Systems;2022-10-13

4. The Optimization Algorithm of Tourism Route Based on Deep Learning Theory;Cyber Security Intelligence and Analytics;2022

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