Where are the (cellular) data?
New generations of cellular networks are data oriented, targeting the integration of machine
learning and artificial intelligence solutions. Data availability, required to train and compare …
learning and artificial intelligence solutions. Data availability, required to train and compare …
Mobility management in 5G and beyond: a novel smart handover with adaptive Time-to-trigger and hysteresis margin
R Karmakar, G Kaddoum… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The 5th Generation (5G) New Radio (NR) and beyond technologies will support enhanced
mobile broadband, very low latency communications, and huge numbers of mobile devices …
mobile broadband, very low latency communications, and huge numbers of mobile devices …
Intelligent dual active protocol stack handover based on double DQN deep reinforcement learning for 5G mmWave networks
The recently proposed dual active protocol stack (DAPS) handover (HO) is one of the
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
mobility enhancements that can effectively reduce the handover interruption time (HIT) in 5G …
Cluster-based load balancing algorithm for ultra-dense heterogeneous networks
In a highly dense heterogeneous cellular network, the loads across cells are uneven due to
random deployment of cells and the mobility of user equipments (UEs). Such unbalanced …
random deployment of cells and the mobility of user equipments (UEs). Such unbalanced …
Network under control: Multi-vehicle E2E measurements for AI-based QoS prediction
A Palaios, P Geuer, J Fink, DF Külzer… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
In the future, mobility use cases will depend on precise predictions, with Quality of Service
(QoS) prediction being a prominent example. This paper presents realistic measurements …
(QoS) prediction being a prominent example. This paper presents realistic measurements …
LTE and NB-IoT Performance Estimation Based on Indicators Measured by the Radio Module
R Burczyk, A Czapiewska, M Gajewska, S Gajewski - Electronics, 2022 - mdpi.com
Monitoring the operating parameters of power grids is extremely important for their proper
functioning as well as for ensuring the security of the entire infrastructure. As the idea of the …
functioning as well as for ensuring the security of the entire infrastructure. As the idea of the …
Crowdsensed performance benchmarking of mobile networks
In recent years, the boom of mobile-network-measurement apps has stimulated the growth
of publicly available datasets, which contain up to billions of measurements conducted by …
of publicly available datasets, which contain up to billions of measurements conducted by …
Real world performance of LTE downlink in a static dense urban scenario-an open dataset
Open datasets with measurements in cellular mobile networks are rare. In this paper, we
share 90 hours (over 600 000 samples with time-resolution of 500 milliseconds) of …
share 90 hours (over 600 000 samples with time-resolution of 500 milliseconds) of …
On the stability of rsrp and variability of other kpis in lte downlink-an open dataset
V Raida, P Svoboda, M Koglbauer… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
In this paper, we discuss the temporal behavior of several key parameter indicators (KPIs) in
LTE downlink (DL) based on multiple long-term static measurement campaigns conducted …
LTE downlink (DL) based on multiple long-term static measurement campaigns conducted …
On the inappropriateness of static measurements for benchmarking in wireless networks
A state-of-the-art method of characterizing a mobile network operator's performance or of
benchmarking multiple operators is to measure the achievable throughput along a particular …
benchmarking multiple operators is to measure the achievable throughput along a particular …