A survey on 5G radio access network energy efficiency: Massive MIMO, lean carrier design, sleep modes, and machine learning

D López-Pérez, A De Domenico… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Cellular networks have changed the world we are living in, and the fifth generation (5G) of
radio technology is expected to further revolutionise our everyday lives by enabling a high …

[HTML][HTML] Energy efficiency techniques in ultra-dense wireless heterogeneous networks: An overview and outlook

O Alamu, A Gbenga-Ilori, M Adelabu, A Imoize… - … Science and Technology …, 2020 - Elsevier
In wireless heterogeneous networks (HetNets), the spatial densification through small cells
and the application of massive MIMO antenna arrays are key enablers for high data …

Joint power allocation and load balancing optimization for energy-efficient cell-free massive MIMO networks

T Van Chien, E Björnson… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Large-scale distributed antenna systems with many access points (APs) that serve the users
by coherent joint transmission is being considered for 5G-and-beyond networks. The …

Spectral efficiency analysis of cell-free massive MIMO systems with zero-forcing detector

P Liu, K Luo, D Chen, T Jiang - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
In this paper, we firstly derive two approximations of the achievable uplink rate with the
perfect/imperfect channel state information (CSI) in cell-free massive multi-input multi-output …

Energy optimization with multi-sleeping control in 5G heterogeneous networks using reinforcement learning

A El Amine, JP Chaiban, HAH Hassan… - … on Network and …, 2022 - ieeexplore.ieee.org
The massive deployment of small cells in 5G networks represents an alternative to meet the
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …

Pre-trained models for non-intrusive appliance load monitoring

L Wang, S Mao, BM Wilamowski… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) is to estimate individual appliance's power
consumption from aggregated smart meter data, which is useful for optimized energy …

Energy-efficient ultra-dense 5G networks: recent advances, taxonomy and future research directions

A Mughees, M Tahir, MA Sheikh, A Ahad - IEEE Access, 2021 - ieeexplore.ieee.org
The global surge of connected devices and multimedia services necessitates increased
capacity and coverage of communication networks. One approach to address the …

Antenna selection and power allocation design for 5G massive MIMO uplink networks

H Gao, Y Su, S Zhang, M Diao - China Communications, 2019 - ieeexplore.ieee.org
Massive MIMO is one of the key technologies in future 5G communications which can satisfy
the requirement of high speed and large capacity. This paper considers antenna selection …

Increasing energy efficiency of massive-MIMO network via base stations switching using reinforcement learning and radio environment maps

M Hoffmann, P Kryszkiewicz, A Kliks - Computer Communications, 2021 - Elsevier
Energy Efficiency (EE) is of high importance while considering Massive Multiple-Input
Multiple-Output (M-MIMO) networks where base stations (BSs) are equipped with an …

Joint User Association and BS Operation for Green Communications in Ultra-Dense Heterogeneous Networks

T Zhou, Y Fu, D Qin, X Li, C Li - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Ultra-dense heterogeneous networks (UDHNs) have been widely regarded as a long-term
and reliable solution for enhancing system performance and reducing cost efficiency. To …