Can high altitude platform stations make 6G sustainable?

D Renga, M Meo - IEEE Communications Magazine, 2022 - ieeexplore.ieee.org
The staggering growth of mobile traffic fostered by the spreading of 5G technology and
massive Internet of Things applications is leading to the need for extensive radio access …

Energy-efficient massive MIMO SWIPT-enabled systems

V Khodamoradi, A Sali, O Messadi… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
This study focuses on the downlink (DL) transmission of massive multiple-input-multiple-
output (MIMO) with the support of simultaneous wireless information and power transfer …

Energy efficiency and delay optimization of virtual slicing of fog radio access network

Y Zhang, L Zhao, K Liang, G Zheng… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
To develop the energy efficient of 6G networks, the fog radio access network (F-RAN) is
expected to meet various use cases of high-performance mobile services. Although network …

Low-Complexity Adaptive DPD: From online optimization to meta-learning

A Falempin, JB Doré, R Zayani… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate low-complexity and adaptive digital predistorsion (DPD)
techniques in order to enhance wireless communication system latency, complexity and …

[HTML][HTML] Renewable energy-based energy-efficient off-grid base stations for heterogeneous network

KZ Islam, MS Hossain, BM Ruhul Amin, GM Shafiullah… - Energies, 2022 - mdpi.com
The heterogeneous network (HetNet) is a specified cellular platform to tackle the rapidly
growing anticipated data traffic. From a communications perspective, data loads can be …

Integrating Aerial Base Stations for sustainable urban mobile networks

M Meo, D Renga, F Scarpa - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The extensive densification of mobile networks is increasing the network energy
consumption and leading to remarkable economical and sustainability concerns. At the …

Low-complexity adaptive digital pre-distortion with meta-learning based neural networks

A Falempin, R Zayani, JB Doré… - 2022 IEEE 19th Annual …, 2022 - ieeexplore.ieee.org
In this paper, we study a meta-learning based neural network (NN) model to enhance the
energy-efficiency related to power amplification in wireless communication systems …

A green fuzzy multi-objective approach to the RNP problem for LTE networks

S Dahmani, M Gabli, A Serghini - Progress in Artificial Intelligence, 2022 - Springer
The development of future wireless access networks often results in very high energy
consumption. To reduce this consumption, decision-makers (DM) minimize the number of …

Periodic-collaboration-based energy-efficient cell dormancy in heterogeneous dense networks

W Guo, SA Wagan, DR Shin, IF Siddiqui… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
In order to adapt to the change of mobile service needs, a base station sleep method
combining long cycle and short cycle style is proposed to realize energy saving in …

Joint optimization algorithm of user association and power control based on spatial traffic distribution

W Wang, J Zhao, H Qu, Y Zhang… - Transactions on …, 2022 - Wiley Online Library
Abstract 5G networks must reduce network overhead while meeting user needs. Based on
the flow model, this paper jointly optimizes the user association and power control in cellular …