[HTML][HTML] Federated learning for the internet-of-medical-things: A survey

VK Prasad, P Bhattacharya, D Maru, S Tanwar… - Mathematics, 2022 - mdpi.com
Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …

[HTML][HTML] A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches

AI Abubakar, I Ahmad, KG Omeke, M Ozturk, C Ozturk… - Drones, 2023 - mdpi.com
Wireless communication networks have been witnessing unprecedented demand due to the
increasing number of connected devices and emerging bandwidth-hungry applications …

A comprehensive review of energy-efficient lighting technologies and trends

OK Olajiga, EC Ani, ZQ Sikhakane… - Engineering Science & …, 2024 - fepbl.com
Energy-efficient lighting technologies have undergone significant advancements in recent
years, driving a transformation in the lighting industry. This comprehensive review explores …

Distributed and secure federated learning for wireless computing power networks

P Wang, W Sun, H Zhang, W Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The explosively growth of mobile applications imposes much burden on the current
computing networks. Wireless Computing Power Network (WCPN), as an emerging …

[HTML][HTML] SWIPT-pairing mechanism for channel-aware cooperative H-NOMA in 6G terahertz communications

HW Oleiwi, H Al-Raweshidy - Sensors, 2022 - mdpi.com
The constraints of 5G communication systems compel further improvements to be
compatible with 6G candidate technologies, especially to cope with the limited wavelengths …

Resource allocation for aerial assisted digital twin edge mobile network

Q Guo, F Tang, N Kato - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
In the context of the 5G/6G mobile network, high levels of requirements such as ultra-high
data transmission rate, support for the high mobility node and seamless connection need to …

Deep learning (DL)-based channel prediction and hybrid beamforming for LEO satellite massive MIMO system

Y Zhang, A Liu, P Li, S Jiang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Low-Earth orbit (LEO) satellites are recognized as one of the most promising infrastructures
for realizing global Internet of Things (IoT) services. With the explosive growth of user …

Towards deterministic communications in 6g networks: State of the art, open challenges and the way forward

GP Sharma, D Patel, J Sachs, M De Andrade… - IEEE …, 2023 - ieeexplore.ieee.org
Over the last decade, society and industries have undergone rapid digitization that is
expected to lead to the evolution of the cyber-physical continuum. End-to-end deterministic …

AF relaying secrecy performance prediction for 6G mobile communication networks in industry 5.0

L Xu, X Zhou, Y Tao, X Yu, M Yu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Industry 5.0 has developed in full swing, and accelerated the process of the sixth-generation
(6G) mobile communication. Physical layer security is important for complex 6G mobile …

[HTML][HTML] Towards 6G: Key technological directions

C De Alwis, P Kumar, QV Pham, K Dev, A Kalla… - ICT Express, 2023 - Elsevier
Sixth-generation mobile networks (6G) are expected to reach extreme communication
capabilities to realize emerging applications demanded by the future society. This paper …