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 …
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 …
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
Millimeter wave (mmWave) communication technologies have recently emerged as an
attractive solution to meet the exponentially increasing demand on mobile data traffic …
attractive solution to meet the exponentially increasing demand on mobile data traffic …
Non-orthogonal multiple access in large-scale heterogeneous networks
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 …
technique in K-tier hybrid heterogeneous networks (HetNets) is explored. A promising new …
Energy-minimization task offloading and resource allocation for mobile edge computing in NOMA heterogeneous networks
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 …
quality of service (QoS) of users by offloading their computation-intensive and delay …
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 …
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 …
the performance of a mobile user in a two-tier wireless network operating on sub-6GHz and …
Joint user association and resource allocation for multi-band millimeter-wave heterogeneous networks
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 …
promising means to improve the cellular system capacity in the 5G era. In this paper, we …
Joint frame design, resource allocation and user association for massive MIMO heterogeneous networks with wireless backhaul
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 …
association in a massive multiple input multiple output (MIMO) heterogeneous network …
BOOST: Base Station on-off Switching Strategy for Green Massive MIMO HetNets
We investigate the problem of base station (BS) ON-OFF switching, user association, and
power control in a heterogeneous network (HetNet) with massive multiple input multiple …
power control in a heterogeneous network (HetNet) with massive multiple input multiple …