Deep Learning Traffic Prediction and Resource Management for 5G RAN Slicing

Q3 Computer Science

Journal of The Institution of Engineers (India): Series B Pub Date : 2024-07-15 DOI:10.1007/s40031-024-01110-2

Dhanashree A. Kulkarni, Mithra Venkatesan, A. Kulkarni

引用次数: 0

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面向 5G RAN 分片的深度学习流量预测和资源管理

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of The Institution of Engineers (India): Series B Computer Science-Computer Science (all)

CiteScore

3.10

自引率

0.00%

发文量

124

期刊介绍： This series attempts to cover the research findings & developments, State-of-the-Art research & fundamental advances in all aspects of electrical, electronics & telecommunication, computer science and engineering. It covers the outstanding research achievements in a broad area of telecommunication engineering with the help of hi-tech expertise. The international and multidisciplinary nature of this field also bears the mission of being the window to academic and professional achievements. The subject areas wrap branches of Electronics and Information Sciences covering, both theoretical research and technological development. The disciplines include but are not limited to the following areas under Series-B:Electrical Engineering Materials, Electrical Machinery & Power Apparatus, Energy StudiesHigh Voltage Engineering, Illumination Engineering, Instrumentation & ControlLegal, Commercial & Safety Aspects of Electrical Engineering Practice, Power Electronics & Drives, Power System PerformanceCommunication Engineering, Electromagnetics, Control Systems & Automation· Circuit and Systems, Electronic Devices & Solid State, Radar & Microwave EngineeringTesting, Evaluation, Quality Control & MeasurementAlgorithms, Programming Paradigms & Compilers, Operating Systems, Performance Evaluation Knowledge Engineering, Computer Communication Network, Data Base System· Signal Processing, Image ProcessingPeer Review Information: This journal follows a Double blind peer review process.