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QoE Enhancement in Next Generation Wireless Ecosystems: A Machine Learning Approach
2019
IEEE Communications Standards Magazine
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Considering the new ITU-T QoS framework, we propose a methodology to develop a global QoS management model for next generation wireless ecosystems taking advantage of big data and machine learning (ML) ...
Next-generation wireless ecosystems are expected to comprise heterogeneous technologies and diverse deployment scenarios. ...
the methodology may aid enhanced QoE in next generation wireless environments. ...
doi:10.1109/mcomstd.001.1900001
fatcat:2kgbla6fvnbkjjvgtaviskodui
A Machine Learning approach to 5G Infrastructure Market optimization
2019
IEEE Transactions on Mobile Computing
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A machine learning approach to 5G infrastructure market optimization, in: IEEE transactions on mobile computing (In press) Abstract-It is now commonly agreed that future 5G Networks will build upon the ...
Process) and the optimization of the infrastructure providers revenue, and (iii) the design of a machine learning algorithm that can be deployed in practical settings and achieves close to optimal performance ...
In this paper we propose a machine learning approach to address this problem. ...
doi:10.1109/tmc.2019.2896950
fatcat:pzk7zbnwcnblrphlemfv7srbfm
Shaping QoE in the 5G ecosystem
2015
2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)
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Given this background, this paper aims to push towards integrating QoE requirements in the 5G ecosystem, and to highlight the importance of network designs that have the enduser at their epicenter. ...
Then we describe current and emerging technological enablers of QoE in 5G, as well as important challenges towards achieving this goal. ...
According to the Next Generation Mobile Networks (NGMN) alliance, "5G is an end-to-end ecosystem to enable a fully mobile and connected society. ...
doi:10.1109/qomex.2015.7148089
dblp:conf/qomex/LiotouESIDPM15
fatcat:vxigoz3yzrh73kakzcobvvx374
6G Ecosystem: Current Status and Future Perspective
2021
IEEE Access
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Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future ...
Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for ...
HOW MACHINE LEARNING WILL RULE 6G Machine Learning (ML) is a sub-branch of AI which assists in the prediction and classification of data based on the trained data. ...
doi:10.1109/access.2021.3054833
fatcat:d5pkupvwobh45dp2k3jr67yrgu
O-RAN: Disrupting the Virtualized RAN Ecosystem
2021
Zenodo
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The O-RAN Alliance is a worldwide effort to reach new levels of openness in next-generation virtualized radio access networks (vRANs). ...
In this paper, we provide a summary of the O-RAN Alliance RAN architecture along with its main building blocks. ...
Artificial Intelligence and Machine Learning Services AI/ML is a cornerstone in the design of the O-RAN architecture. ...
doi:10.5281/zenodo.5734888
fatcat:kdy7hn2vlfex5j77jrs445qccq
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
[article]
2021
arXiv
pre-print
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In terms of applications, the metaverse ecosystem allows human users to live and play within a self-sustaining, persistent, and shared realm. ...
This survey paper presents the first effort to offer a comprehensive framework that examines the latest metaverse development under the dimensions of state-of-the-art technologies and metaverse ecosystems ...
Recent deep learning-based approaches [355] , [356] , [358] have shown a significant performance enhancement in urban driving datasets designed for autonomous driving. ...
arXiv:2110.05352v3
fatcat:pv4fxf5lfbc7vk3ogsyidwfloy
Active and Assisted Living Ecosystem for the Elderly
2018
Sensors
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The platform was tested by seniors in a real scenario. The experimental results demonstrated that the proposed ecosystem was well accepted and is easy to use by seniors. ...
A novel ecosystem to promote the physical, emotional and psychic health and well-being of the elderly is presented. ...
Specifically, using the critical level of a generated situation as a weight, the sum of different inputs and associated weights generates a value that enhances an action. ...
doi:10.3390/s18041246
pmid:29673234
pmcid:PMC5948742
fatcat:ff67fpcv2jb3vgx3x4clfcn5h4
A Novel Approach to the Job Shop Scheduling Problem Based on the Deep Q-Network in a Cooperative Multi-Access Edge Computing Ecosystem
2021
Sensors
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We tried to solve the job shop scheduling problem by applying DQN (deep Q-network), a reinforcement learning model, to this method. ...
Additionally, we conducted scheduling studies in the edge computing ecosystem of our manufacturing processes without the help of cloud centers. ...
In conclusion, after constructing the cooperative MEC ecosystem, we tried to find a new problem-solving approach by using the JSP as a sample based on DQN. ...
doi:10.3390/s21134553
doaj:5709e2d781b947948a2fd79e6c8da322
fatcat:773mxn7dajfc5h4sni2dfl4r5q
Quality of Experience for Streaming Services: Measurements, Challenges and Insights
2020
IEEE Access
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Moreover, we exhibit notable enhancements and controlling approaches proposed by researchers to meet the user expectation in terms of service experience. ...
In this paper, we present the importance of QoE in wireless and mobile networks (4G, 5G, and beyond), by providing standard definitions and the most important measurement methods developed. ...
In this aspect, machine learning techniques can be applied to approach these difficulties possibly by using available traces. ...
doi:10.1109/access.2020.2965099
fatcat:hkracswkqjh5xjvrj5skk7tpgu
Quality of Experience for Streaming Services: Measurements, Challenges and Insights
[article]
2019
arXiv
pre-print
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Moreover, we exhibit notable enhancements and controlling approaches proposed by researchers to meet the user expectation in terms of service experience. ...
In this paper, we present the importance of QoE in wireless and mobile networks (4G, 5G, and beyond), by providing standard definitions and the most important measurement methods developed. ...
In this aspect, machine learning techniques can be applied to approach these difficulties possibly by using available traces. ...
arXiv:1912.11318v1
fatcat:oqzhk7u7ureu5oxjhugratzvoi
User-Centric Quality of Experience Measurement
[chapter]
2014
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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These technical indicators are measured at the different levels in a wireless network. ...
QoE data. In contrast to QoS, QoE provides an assessment of human perceptions, feelings, emotions and intentions with respect to a particular product, service or application [18] . ...
In a future work, we plan to investigate the possibility of using more advanced machine learning techniques (on an Android device) like neural networks to generate a QoE model with better accuracy. ...
doi:10.1007/978-3-319-05452-0_3
fatcat:eahqbjru5jfudila4r53d7fkde
Machine Learning for Multimedia Communications
2022
Sensors
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Machine learning is revolutionizing the way multimedia information is processed and transmitted to users. ...
However, learning-based algorithms often imply drastic changes to the way data are represented or consumed, meaning that the overall pipeline can be affected even though a subpart of it is optimized. ...
In the next section, we review how learning-based approaches have been investigated in multimedia transmission. ...
doi:10.3390/s22030819
pmid:35161566
pmcid:PMC8840624
fatcat:nmz7s6ei3bdddarbt2bqhf6beu
Evolution of Wireless Communication to 6G: Potential Applications and Research Directions
2022
Sustainability
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However, B5G is viewed as a turning point that will fundamentally transform existing global trends in wireless communication practices as well as in the lives of masses. ...
B5G foresees a world where physical–digital confluence takes place. ...
Machine Learning Approaches Machine Learning approaches broadly falls under supervised learning (SL), unsupervised learning (USL), and reinforcement learning (RL). ...
doi:10.3390/su14106356
fatcat:uh5hg5jzljcwbm4ygesghgfbhq
2019 Index IEEE Transactions on Network and Service Management Vol. 16
2019
IEEE Transactions on Network and Service Management
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., +, T-NSM Dec. 2019 1884-1898 Neurophysiology Inferring Functional Connectivity From Time-Series of Events in Large Scale Network Deployments.Messager, A., +, T-NSM Sept. 2019 857-870 Next generation ...
., +, T-NSM Dec. 2019 1493-1506 Network servers Optimizing and Updating LoRa Communication Parameters: A Machine Learning Approach. ...
doi:10.1109/tnsm.2019.2960621
fatcat:zdo7i4plobaqxp54v7624wkrxi
IEEE Access Special Section Editorial: Artificial Intelligence and Cognitive Computing for Communication and Network
2020
IEEE Access
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Furthermore, communications and network ecosystems must be upgraded with new capabilities such as machine learning, data analytics, and cognitive power for providing human intelligence. ...
Advanced communications and networks greatly enhance the user experience, and have a major impact on all aspects of people's lifestyles in terms of work, society, and the economy. ...
In the article ''QoE-oriented rate adaptation for DASH with enhanced deep Q-learning,'' by Liu et al., the authors propose redirecting enhanced Deep Q-Learning toward DASH video QoE (RDQ), a QoE-oriented ...
doi:10.1109/access.2020.3014475
fatcat:z3xpk3x7ofhjbf7vmj2glozx6y
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