[HTML][HTML] Prospects and challenges of the machine learning and data-driven methods for the predictive analysis of power systems: A review

W Strielkowski, A Vlasov, K Selivanov, K Muraviev… - Energies, 2023 - mdpi.com
The use of machine learning and data-driven methods for predictive analysis of power
systems offers the potential to accurately predict and manage the behavior of these systems …

Machine learning for millimeter wave and terahertz beam management: A survey and open challenges

MQ Khan, A Gaber, P Schulz, G Fettweis - IEEE Access, 2023 - ieeexplore.ieee.org
Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

Comprehensive survey on self-organizing cellular network approaches applied to 5G networks

H Fourati, R Maaloul, L Chaari, M Jmaiel - Computer Networks, 2021 - Elsevier
Abstract Self-Organizing Network (SON) stands for a key concept characterizing the
behavior of the future mobile networks. The evolution of telecom infrastructures towards 5G …

Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions

OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

[HTML][HTML] a survey on handover and mobility management in 5G HetNets: current state, challenges, and future directions

Y Ullah, MB Roslee, SM Mitani, SA Khan, MH Jusoh - Sensors, 2023 - mdpi.com
Fifth-generation (5G) networks offer high-speed data transmission with low latency,
increased base station volume, improved quality of service (QoS), and massive multiple …

Survey on joint paradigm of 5G and SDN emerging mobile technologies: Architecture, security, challenges and research directions

SHA Kazmi, F Qamar, R Hassan, K Nisar… - Wireless Personal …, 2023 - Springer
Modern communication systems are probable to surface new challenges while introducing
innovative fronts concerning context consciousness in wireless networks. The main outcome …

[HTML][HTML] Security and privacy threats to federated learning: Issues, methods, and challenges

J Zhang, H Zhu, F Wang, J Zhao, Q Xu… - Security and …, 2022 - hindawi.com
Federated learning (FL) has nourished a promising method for data silos, which enables
multiple participants to construct a joint model collaboratively without centralizing data. The …

[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey

J Tanveer, A Haider, R Ali, A Kim - Electronics, 2021 - mdpi.com
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …

Communication technologies for Smart Water Grid applications: Overview, opportunities, and research directions

Y Lalle, M Fourati, LC Fourati, JP Barraca - Computer Networks, 2021 - Elsevier
Due to the aging of current water infrastructure and the increased demand for water
resources, water distribution systems encounter several problems such as pipes leaks and …

Routing-based interference mitigation in SDN enabled beyond 5G communication networks: A comprehensive survey

SHA Kazmi, F Qamar, R Hassan, K Nisar - IEEE Access, 2023 - ieeexplore.ieee.org
The outright aim of Beyond Fifth Generation (B5G) communication is to bring a revolution in
Quality of Service (QoS) through enhanced Mobile Broadband (eMBB), Ultra-Reliable Low …