Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks. Ornatelli, A., Tortorelli, A., & Giuseppi, A. 2020.
doi  abstract   bibtex   
Multi-Access Heterogeneous Networks introduced a step forward in modern communication networks allowing the provision of reliable and efficient broadband services. However, heterogeneous networks imply a burden of complexity in the integration, coordination and QoS management processes thus complicating the satisfaction of users' requirements. The aim of the present work is to address the above-mentioned issues by developing a mathematical framework for optimizing resource usage in 5G heterogeneous networks. More in detail, the optimization will take into account both the network's load and energy consumption simultaneously. The proposed approach, based on Model Predictive Control, will be compared with other control strategies for validation and performance comparison. © 2020 IEEE.
@CONFERENCE{Ornatelli20200467,
author={Ornatelli, A. and Tortorelli, A. and Giuseppi, A.},
title={Iterative MPC for Energy Management and Load Balancing in 5G Heterogeneous Networks},
journal={2020 11th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2020},
year={2020},
pages={0467-0471},
doi={10.1109/UEMCON51285.2020.9298113},
art_number={9298113},
scopus={https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099740346&doi=10.1109%2fUEMCON51285.2020.9298113&partnerID=40&md5=2523ba289bd79d69808f40528528da4f},
abstract={Multi-Access Heterogeneous Networks introduced a step forward in modern communication networks allowing the provision of reliable and efficient broadband services. However, heterogeneous networks imply a burden of complexity in the integration, coordination and QoS management processes thus complicating the satisfaction of users' requirements. The aim of the present work is to address the above-mentioned issues by developing a mathematical framework for optimizing resource usage in 5G heterogeneous networks. More in detail, the optimization will take into account both the network's load and energy consumption simultaneously. The proposed approach, based on Model Predictive Control, will be compared with other control strategies for validation and performance comparison. © 2020 IEEE.},
author_keywords={Energy Management;  Heterogenous Networks;  Load Balancing;  Model Predictive Control;  Multi-Access Networks},
keywords={Energy utilization;  Heterogeneous networks;  Mobile telecommunication systems;  Model predictive control;  Predictive control systems;  Ubiquitous computing, Broadband service;  Control strategies;  Mathematical frameworks;  Multiaccess;  Performance comparison;  QOS management;  Resource usage, 5G mobile communication systems},
document_type={Conference Paper},
source={Scopus},
}

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