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 …

[PDF][PDF] A survey on 5g energy efficiency: Massive mimo, lean carrier design, sleep modes, and machine learning

D Lopez-Perez, AD Domenico, N Piovesan… - arXiv preprint arXiv …, 2021 - academia.edu
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 …

Energy-efficient resource allocation for wireless powered massive MIMO system with imperfect CSI

Z Chang, Z Wang, X Guo, Z Han… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose an energy-efficient resource allocation scheme for a wireless
power transfer (WPT) enabled multi-user massive multiple-input multiple-output system with …

Energy-efficiency-oriented joint user association and power allocation in distributed massive MIMO systems

G Dong, H Zhang, S Jin, D Yuan - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper investigates the energy efficient downlink transmission in distributed massive
multiple-input-multiple-output systems, where massive antennas are clustered on …

Robust multi-objective optimization for EE-SE tradeoff in D2D communications underlaying heterogeneous networks

Y Hao, Q Ni, H Li, S Hou - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, we concentrate on the robust multi-objective optimization (MOO) for the
tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device …

User association and load balancing for massive MIMO through deep learning

A Zappone, L Sanguinetti… - 2018 52nd Asilomar …, 2018 - ieeexplore.ieee.org
This work investigates the use of deep learning to perform user-cell association for sum-rate
maximization in Massive MIMO networks. It is shown how a deep neural network can be …

Energy and spectral efficiency tradeoff via rate splitting and common beamforming coordination in multicell networks

J Zhang, J Zhang, Y Zhou, H Ji, J Sun… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Rate splitting (RS) has the potential to significantly enhance both energy efficiency (EE) and
spectral efficiency (SE) of wireless networks. In this paper, we propose joint design of the …

On the energy and spectral efficiency tradeoff in massive MIMO-enabled HetNets with capacity-constrained backhaul links

Y Hao, Q Ni, H Li, S Hou - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a general framework to study the tradeoff between energy
efficiency (EE) and spectral efficiency (SE) in massive multiple-input-multiple-output …

Energy-efficient multi-user mobile-edge computation offloading in massive MIMO enabled HetNets

Y Hao, Q Ni, H Li, S Hou - ICC 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
In this paper, we investigate the energy-efficient multi-user mobile-edge computing
offloading problem in massive MIMO enabled HetNets, where the CPU-cycle frequency of …

Multiobjective optimization based on self‐organizing Particle Swarm Optimization algorithm for massive MIMO 5G wireless network

KE Purushothaman, V Nagarajan - International Journal of …, 2021 - Wiley Online Library
The development of future fifth‐generation (5G) wireless networks (WNs) is an active
research area worldwide. The 5G network grants significantly upgraded necessities …