Machine learning-based methods for MCS prediction in 5G networks
IF 1.7
4区 计算机科学
Q3 TELECOMMUNICATIONS
引用次数: 0
基于机器学习的 5G 网络 MCS 预测方法
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来源期刊
Telecommunication Systems
工程技术-电信学
CiteScore
5.40
自引率
8.00%
发文量
105
审稿时长
6.0 months
期刊介绍：
Telecommunication Systems is a journal covering all aspects of modeling, analysis, design and management of telecommunication systems. The journal publishes high quality articles dealing with the use of analytic and quantitative tools for the modeling, analysis, design and management of telecommunication systems covering:
Performance Evaluation of Wide Area and Local Networks;
Network Interconnection;
Wire, wireless, Adhoc, mobile networks;
Impact of New Services (economic and organizational impact);
Fiberoptics and photonic switching;
DSL, ADSL, cable TV and their impact;
Design and Analysis Issues in Metropolitan Area Networks;
Networking Protocols;
Dynamics and Capacity Expansion of Telecommunication Systems;
Multimedia Based Systems, Their Design Configuration and Impact;
Configuration of Distributed Systems;
Pricing for Networking and Telecommunication Services;
Performance Analysis of Local Area Networks;
Distributed Group Decision Support Systems;
Configuring Telecommunication Systems with Reliability and Availability;
Cost Benefit Analysis and Economic Impact of Telecommunication Systems;
Standardization and Regulatory Issues;
Security, Privacy and Encryption in Telecommunication Systems;
Cellular, Mobile and Satellite Based Systems.
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