Performance Analysis of Support Vector Machine Learning Based Carrier Aggregation Resource scheduling in 5G Mobile Communication-Reference-Cited by-同舟云学术

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Performance Analysis of Support Vector Machine Learning Based Carrier Aggregation Resource scheduling in 5G Mobile Communication

Published:2023 Issue: Volume:218 Page:2776-2785
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Mathur Samiksha,Chaba Yogesh,Noliya Amandeep

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Reduced-complexity proportional fair scheduling for OFDMA systems;Sun,2016

2. Performance Analysis of Resource Scheduling Techniques in Homogeneous and Heterogeneous Small Cell LTEA Networks;Noliya;Wireless Pers Commun,2020

3. Analysis of Security Protocols in Wireless Sensor Network;Sharma;Int. J. Advanced Networking and Applications,2010

4. Optimal agreement achievement in a fog computing based IoT;Wang;Journal of Internet Technology,2019

5. A distributed approach to improving spectral efficiency in uplink device-to-device-enabled cloud radio access networks;Sun;IEEE Transactions on Communications,2018

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1. Massive MIMO based beamforming by optical multi-hop communication with energy efficiency for smart grid IoT 5G application;Optical and Quantum Electronics;2023-12-08

2. An Evaluation of the Humanitarian Supply Chains in the Event of Flash Flooding;Water;2023-09-21

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