Combination of ultra-dense networks and other 5G enabling technologies: A survey
MA Adedoyin, OE Falowo - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, to address the astonishing capacity requirement of 5G, researchers are
investigating the possibility of combining different technologies with ultra-dense networks …
investigating the possibility of combining different technologies with ultra-dense networks …
Reinforcement learning for energy-efficient trajectory design of UAVs
Integrating unmanned aerial vehicles (UAVs) as aerial base stations (BSs) into terrestrial
cellular networks has emerged as an effective solution to provide coverage and complement …
cellular networks has emerged as an effective solution to provide coverage and complement …
HAPS-UAV-enabled heterogeneous networks: A deep reinforcement learning approach
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …
platform station (HAPS) and low-altitude platform station (LAPS) has become essential …
Fairness-aware link optimization for space-terrestrial integrated networks: A reinforcement learning framework
The integration of space and air components considering satellites and unmanned aerial
vehicles (UAVs) into terrestrial networks in a space-terrestrial integrated network (STIN) has …
vehicles (UAVs) into terrestrial networks in a space-terrestrial integrated network (STIN) has …
Resource optimization with load coupling in multi-cell NOMA
Optimizing non-orthogonal multiple access (NOMA) in multi-cell scenarios is much more
challenging than the single-cell case because inter-cell interference must be considered …
challenging than the single-cell case because inter-cell interference must be considered …
The fixed point iteration of positive concave mappings converges geometrically if a fixed point exists: Implications to wireless systems
T Piotrowski, RLG Cavalcante - IEEE Transactions on Signal …, 2022 - ieeexplore.ieee.org
We prove that the fixed point iteration of arbitrary positive concave mappings with nonempty
fixed point set converges geometrically for any starting point. We also show that positivity is …
fixed point set converges geometrically for any starting point. We also show that positivity is …
Connections between spectral properties of asymptotic mappings and solutions to wireless network problems
RLG Cavalcante, Q Liao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this study, we establish connections between asymptotic functions and properties of
solutions to important problems in wireless networks. We start by introducing a class of self …
solutions to important problems in wireless networks. We start by introducing a class of self …
Learning in the sky: Towards efficient 3D placement of UAVs
Deployment of unmanned aerial vehicles (UAVs) as aerial base stations to support cellular
networks can deliver a fast and flexible solution for serving high and varying traffic demand …
networks can deliver a fast and flexible solution for serving high and varying traffic demand …
Minimizing base stations' ON/OFF switchings in self-organizing heterogeneous networks: A distributed satisfactory framework
The deployment of heterogeneous networks (HetNets) can significantly boost the network
capacity. However, the large number of small cell base stations (SBSs) deployed in HetNets …
capacity. However, the large number of small cell base stations (SBSs) deployed in HetNets …
Hierarchical energy optimization with more realistic power consumption and interference models for ultra-dense networks
H Zhuang, J Chen, R Gilimyanov - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
To fulfill the high capacity requirements of 5G and B5G, ultra-dense network (UDN) is a
promising technology. As the network becomes denser, energy consumption becomes one …
promising technology. As the network becomes denser, energy consumption becomes one …