Propagation-model-free base station deployment for mobile networks: Integrating machine learning and heuristic methods
L Dai, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
As densification is the promising trend of future mobile networks, deployment of base
stations (BSs) becomes increasingly difficult due to the laborious procedures in network …
stations (BSs) becomes increasingly difficult due to the laborious procedures in network …
Data-driven cell zooming for large-scale mobile networks
H Jiang, S Yi, L Wu, H Leung, Y Wang… - … on Network and …, 2018 - ieeexplore.ieee.org
In large-scale mobile networks, energy minimization problem pertaining to base station (BS)
switching is known to require high computational complexity. In this paper, we propose a …
switching is known to require high computational complexity. In this paper, we propose a …
On mathematical modelling of automated coverage optimization in wireless 5G and beyond deployments
The need to optimize the deployment and maintenance costs for service delivery in wireless
networks is an essential task for each service provider. The goal of this paper was to …
networks is an essential task for each service provider. The goal of this paper was to …
Cost-optimal deployment of millimeter-wave base stations under outage requirement
M Dong, M Cho, K Lee, S Yoon… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Today's growth in the volume of wireless devices coupled with the demand for data-
intensive use cases has motivated the deployment of millimeter-wave (mmWave) small-cell …
intensive use cases has motivated the deployment of millimeter-wave (mmWave) small-cell …
Link Quality-Guaranteed Minimum-Cost Millimeter-Wave Base Station Deployment
M Dong, T Kim, M Cho, K Lee, S Yoon - arXiv preprint arXiv:2108.02716, 2021 - arxiv.org
Today's growth in the volume of wireless devices coupled with the promise of supporting
data-intensive 5G-&-beyond use cases is driving the industry to deploy more millimeter …
data-intensive 5G-&-beyond use cases is driving the industry to deploy more millimeter …
[HTML][HTML] Optimal BTS location for coverage and traffic of cellular wireless networks
E Mousavi Kiasari, A Hashemi Borzabadi… - … in Production and …, 2023 - jpom.ui.ac.ir
Purpose: This paper aims to efficiently find the number and optimal placement of BTSs in the
coverage area such that the implementation cost is minimized, while the user's traffic in the …
coverage area such that the implementation cost is minimized, while the user's traffic in the …
[PDF][PDF] BRNO UNIVERSITY DF TECHNOLOGY
MIP Šeda - theses.cz
The dissertation is focused on" optimization of network infrastructures using artificial
intelligence algorithms". The growing requirements for network traffic in 5G+ networks …
intelligence algorithms". The growing requirements for network traffic in 5G+ networks …
Base station power optimization for green networks using reinforcement learning
S Aktaş - 2019 - open.metu.edu.tr
The next generation mobile networks have to provide high data rates, extremely low latency,
and support high connection density. To meet these requirements, the number of base …
and support high connection density. To meet these requirements, the number of base …