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System for automated diagnosis in cellular networks based on performance indicators
2005
Transactions on Emerging Telecommunications Technologies
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This paper presents a system for automated diagnosis of problems in a cellular network, which comprises a method and a model. ...
A diagnosis model for GSM/ GPRS radio access networks is also described, whose elements are available in the network management systems (NMSs) of most networks. ...
ACKNOWLEDGEMENTS This work have been partially supported by the Spanish Ministry of Science and Technology under project TIC2003-07827. ...
doi:10.1002/ett.1060
fatcat:i5lcplc4wfg6rgrw7r4wgixzua
Towards Automated Intelligence in 5G Systems
2017
2017 26th International Conference on Computer Communication and Networks (ICCCN)
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It consists of a radio access network (RAN) and a core is the data-plane protocols above IP, which are not cellular
network. ...
network access. ...
doi:10.1109/icccn.2017.8038472
dblp:conf/icccn/DengLLLPRTYZ17
fatcat:u2nakhij2zfqrhtgxq4tkuj2my
Implementation of Self-Organizing Network (SON) on Cellular Technology base on Big Data Analytic
[article]
2020
arXiv
pre-print
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By predicting network problems early, solving network problems can be done faster. ...
It is suggested that on 5G networks, Big Data changes the SON detection paradigm from reactive to proactive. Detecting problems starts with data collection and analysis of possible network problems. ...
CONCLUSIONS SON is a network automation technology designed to make planning, configuration, management, optimization and repair of cellular networks to be simpler and faster. ...
arXiv:2005.14651v1
fatcat:fy6vb4gorbhjdbygup7s7d55aa
A Systematic Review of Artificial Intelligence Applications in Cellular Networks
2019
Engineering, Technology & Applied Science Research
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The current paper presents the state of the art of artificial intelligence (AI) in enhancing the performance of cellular networks. ...
This paper summarizes the AI concept and reviews its applications in cellular network design, operations, and optimization. ...
To tackle this in future networks, the system and network drivers need to get smarter and more automated. System automation in a radio network is realizable through AI [2] . ...
doi:10.48084/etasr.2788
fatcat:sawovzwlnzaata7yu4fapqafrm
Guest Editorial Special Section on Wireless Technologies in Factory and Industrial Automation—Part I
2007
IEEE Transactions on Industrial Informatics
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W IRELESS technologies are nowadays in widespread use, with cellular telephony and wireless Internet access being two of the major driving forces behind this. ...
These differences pose significant challenges for the design of network architectures, protocols and tools for industrial and automation applications [3], [4], [5] . ...
W IRELESS technologies are nowadays in widespread use, with cellular telephony and wireless Internet access being two of the major driving forces behind this. ...
doi:10.1109/tii.2007.898410
fatcat:yip7f32nqjg7pdji3fbvvffwvy
Review on Self Organization in Next Generation Mobile Network
2015
International Journal of Computer Applications
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This paper is the review of Self organization in future mobile network. ...
As for now self organization is being applied to autonomic computer, or wireless network but presently self organization in mobile network is the emerging field with lot of research direction in various ...
In [10] Bayesian approach is used for automated diagnosis of fault in UMTS networks. ...
doi:10.5120/20041-1848
fatcat:p65ddzh2l5golmd4fzhby75j7y
Embedding IOT Systems for a Fluid Powered Cable Pulling Winch
2019
International Journal of Control and Automation
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Due to its assurance of efficiency, quality, reliability, and superiority over manual systems, incorporating Industrial Automation has improved productivity within a short period of time. ...
This paper focuses on consolidating a completely automated hydraulic machine, the features of IoT and implementing Machine-to-Machine (M2M) Technology. ...
These base stations conduct transmission and receive radio signals. In a 3G network, a radio network controller (RNC) supervises base station and user connections or the radio access network (RAN). ...
doi:10.33832/ijca.2019.12.3.04
fatcat:pail6bqhw5eq3mavxtavaftt5e
MonTrees: Automated Detection and Classification of Networking Anomalies in Cellular Networks
[article]
2021
arXiv
pre-print
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Identification of network problems leveraging on machine learning has gained a lot of visibility in the past few years, resulting in dramatically improved cellular network services. ...
The active growth and dynamic nature of cellular networks makes network troubleshooting challenging. ...
We use Gini as the metric to determine the best Radio and TCP data attributes to split the new classes (Radio OK/TCP OK, Radio OK/TCP Problem, Radio Problem/TCP OK, Radio Problem/TCP Problem) at each point ...
arXiv:2108.13156v1
fatcat:rjfgi3allfe3zizipoxkbxz2li
Integration of 5G Technologies in Smart Grid Communication-A Short Survey
2019
International Journal of Renewable Energy Development
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This paper presents a broad review of communication and network technologies with regard to Internet of Things, Machine to Machine Communication, and Cognitive radio terminologies which comprises 5G technology ...
Dual communication helps to overseer the internet access points, energy meters, and power demand of the entire grid. ...
HAN
NAN
WAN
•Zigbee/Bluetooth
•Wi-Fi
•Wireless Sensor Network
•Cellular Network
•WiMAX
•Wi-Fi
•SDN
•IOT
•Cellular Network
Table 1
Requirements of Data rate and communication range
Network ...
doi:10.14710/ijred.8.3.275-283
fatcat:3rkhspq3brc3tgpd42ju6xweau
Performance Characterization and Call Reliability Diagnosis Support for Voice over LTE
2015
Proceedings of the 21st Annual International Conference on Mobile Computing and Networking - MobiCom '15
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We discover 3 instances of problems in the early deployment of VoLTE lying in the protocol design and implementation. ...
We propose an on-device VoLTE problem detection tool, which can capture new types of problems concerning audio quality with high accuracy and minimum overhead, and perform stress testing on VoLTE call's ...
Specially, we would like to acknowledge contributions from Suchit Satpathy from operations team at T-Mobile, who grounded us to the practicality of the problems that customers are facing. ...
doi:10.1145/2789168.2790095
dblp:conf/mobicom/JiaCMHSYKL15
fatcat:niyr5zv4bnahlgg3lxiyrvgxuy
Anomaly Prevision in Radio Access Networks Using Functional Data Analysis
2017
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
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In order to help the network maintainers with the daily diagnosis and optimization tasks, a supervised model for mobile anomalies prevention is proposed. ...
The model has proven its efficiency with an application on real data that aims to detect capacity degradation, accessibility and call drops anomalies for LTE networks. ...
The EPS is composed of the radio access part E-UTRAN (Evolved Universal Terrestrial Radio Access Network), the core part EPC (Evolved Packet Core) and the Packet Data Network (PDN). ...
doi:10.1109/glocom.2017.8254087
dblp:conf/globecom/SlimenAJ17
fatcat:3yayajkqh5e73eknhh5wecw3ku
An Automatic Detection and Diagnosis Framework for Mobile Communication Systems
2012
IEEE Transactions on Network and Service Management
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He currently studies the applicability of machine learning techniques to achieve automated fault detection, diagnosis and prediction in 3G and LTE radio access networks. ...
As the complexity of commercial cellular networks grows, there is an increasing need for automated methods detecting and diagnosing cells not only in complete outage but with degraded performance as well ...
also the challenges of automated diagnosis in cellular networks. ...
doi:10.1109/tnsm.2012.031912.110155
fatcat:fbbymyegjjgqnnmcg637wikbfi
Digital mediators as key enablers of navigation toward health in knowledge landscapes
2018
Croatian Medical Journal
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Another application by the same service is Health Navigator Diagnosis Engine, which generates a list of possible causes of a specific symptom or problem. ...
), beamforming applications (signal-processing techniques used in sensor arrays for directional signal transmission or reception), small cells (low-powered cellular radio access nodes that operate in licensed ...
doi:10.3325/cmj.2018.59.178
fatcat:luyhnlb2ivcbvnv4v3mgu3ymci
Special Issue: Advances in Vehicular Networks
2020
Journal of Sensor and Actuator Networks
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Connected vehicles are expected to transform the way we travel through the creation of a safe, interoperable wireless communication network among road actors, infrastructures, and objects [...] ...
The work in [7] , instead, investigates the suitability of convolutional neural networks (CNN) for the diagnosis of defective automotive dampers. ...
In [6] , the authors proposes an integer linear program (ILP) to solve the joint deployment problem of baseband processing and edge computing with reliability against single-node failure in a cloud radio ...
doi:10.3390/jsan9040050
fatcat:zz7hhhxutfgxfksl72yl7sikiu
A Survey of Recent Developments in Home M2M Networks
2014
IEEE Communications Surveys and Tutorials
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Recent years have witnessed the emergence of machine-to-machine (M2M) networks as an efficient means for providing automated communications among distributed devices. ...
Moreover, we review existing home networking projects to better understand the real-world applicability of these systems. ...
saving, and multiple radio access technologies coordination. ...
doi:10.1109/surv.2013.110113.00249
fatcat:luvfymq6vjf3ferq4v7oeiolii
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