Towards energy efficient 5G networks using machine learning: Taxonomy, research challenges, and future research directions

A Mughees, M Tahir, MA Sheikh, A Ahad - Ieee Access, 2020 - ieeexplore.ieee.org
As the world pushes toward the use of greener technology and minimizes energy waste,
energy efficiency in the wireless network has become more critical than ever. The next …

A review of machine learning techniques for enhanced energy efficient 5G and 6G communications

TP Fowdur, B Doorgakant - Engineering Applications of Artificial …, 2023 - Elsevier
Cellular technologies have evolved continuously from the 1st to the 5th generation (5G) to
meet the exponentially growing needs of bandwidth, throughput and latency. However, the …

Advancements and challenges in energy-efficient 6G mobile communication network

K Slimani, S Khoulji, ML Kerkeb - E3S Web of Conferences, 2023 - e3s-conferences.org
The arrival of 6G mobile communication networks is anticipated to revolutionize the
technological landscape, bringing about profound innovations. This research paper …

[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 …

A comprehensive survey on 6G and beyond: Enabling technologies, opportunities of machine learning and challenges

AT Jawad, R Maaloul, L Chaari - Computer Networks, 2023 - Elsevier
Multiple nations are now in the process of launching 5G mobile networks. All of the telecoms
industry has been revolutionized by the concept of 5G networks. Since late 2018 …

[HTML][HTML] From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

Towards artificial intelligence enabled 6G: State of the art, challenges, and opportunities

S Zhang, D Zhu - Computer Networks, 2020 - Elsevier
Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Can machine learning aid in delivering new use cases and scenarios in 5G?

TS Buda, H Assem, L Xu, D Raz… - NOMS 2016-2016 …, 2016 - ieeexplore.ieee.org
5G represents the next generation of communication networks and services, and will bring a
new set of use cases and scenarios. These in turn will address a new set of challenges from …

[HTML][HTML] Big data perspective and challenges in next generation networks

K Sultan, H Ali, Z Zhang - Future Internet, 2018 - mdpi.com
With the development towards the next generation cellular networks, ie, 5G, the focus has
shifted towards meeting the higher data rate requirements, potential of micro cells and …

[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …