Massive MIMO networks: Spectral, energy, and hardware efficiency

E Björnson, J Hoydis… - Foundations and Trends® …, 2017 - nowpublishers.com
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …

Joint load balancing and offloading in vehicular edge computing and networks

Y Dai, D Xu, S Maharjan… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of computation intensive and delay sensitive on-vehicle applications makes
it quite a challenge for vehicles to be able to provide the required level of computation …

Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations

H Zhang, S Huang, C Jiang, K Long… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …

Energy-minimization task offloading and resource allocation for mobile edge computing in NOMA heterogeneous networks

C Xu, G Zheng, X Zhao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been regarded as a promising technology to improve the
quality of service (QoS) of users by offloading their computation-intensive and delay …

Non-orthogonal multiple access in large-scale heterogeneous networks

Y Liu, Z Qin, M Elkashlan… - IEEE Journal on …, 2017 - ieeexplore.ieee.org
In this paper, the potential benefits of applying non-orthogonal multiple access (NOMA)
technique in K-tier hybrid heterogeneous networks (HetNets) is explored. A promising new …

Joint user association and resource allocation for multi-band millimeter-wave heterogeneous networks

R Liu, Q Chen, G Yu, GY Li - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Millimeter-wave (mmWave) heterogeneous network (HetNet) has been regarded as a
promising means to improve the cellular system capacity in the 5G era. In this paper, we …

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 …

Mobility-aware performance in hybrid RF and terahertz wireless networks

MT Hossan, H Tabassum - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Using tools from stochastic geometry, this paper develops a tractable framework to analyze
the performance of a mobile user in a two-tier wireless network operating on sub-6GHz and …

A dynamic resource management algorithm for maximizing service capability in fog-empowered vehicular ad-hoc networks

MA Thanedar, SK Panda - Peer-to-Peer Networking and Applications, 2023 - Springer
The new computing paradigm, fog computing, enables advanced services, such as
navigation, self-driving cars, and augmented reality, by integrating with vehicular networks to …

Joint frame design, resource allocation and user association for massive MIMO heterogeneous networks with wireless backhaul

M Feng, S Mao, T Jiang - IEEE Transactions on Wireless …, 2017 - ieeexplore.ieee.org
In this paper, we investigate the problem of frame design, resource allocation, and user
association in a massive multiple input multiple output (MIMO) heterogeneous network …