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QoE Enhancement in Next Generation Wireless Ecosystems: A Machine Learning Approach

Eva Ibarrola, Mark Davis, Camille Voisin, Ciara Close, Leire Cristobo
2019 IEEE Communications Standards Magazine  
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

Dario Bega, Marco Gramaglia, Albert Banchs, Vincenzo Sciancalepore, Xavier Costa-Perez
2019 IEEE Transactions on Mobile Computing  
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

Eirini Liotou, Hisham Elshaer, Raimund Schatz, Ralf Irmer, Mischa Dohler, Nikos Passas, Lazaros Merakos
2015 2015 Seventh International Workshop on Quality of Multimedia Experience (QoMEX)  
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

Jagadeesha R Bhat, Salman A. AlQahtani
2021 IEEE Access  
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

Andres Garcia-Saavedra, Xavier Costa-Perez
2021 Zenodo  
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]

Lik-Hang Lee, Tristan Braud, Pengyuan Zhou, Lin Wang, Dianlei Xu, Zijun Lin, Abhishek Kumar, Carlos Bermejo, Pan Hui
2021 arXiv   pre-print
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

Isabel Marcelino, Rosalía Laza, Patrício Domingues, Silvana Gómez-Meire, Florentino Fdez-Riverola, António Pereira
2018 Sensors  
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

Junhyung Moon, Minyeol Yang, Jongpil Jeong
2021 Sensors  
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

Khadija Bouraqia, Essaid Sabir, Mohamed Sadik, Latif Ladid
2020 IEEE Access  
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]

Khadija Bouraqia, Essaid Sabir, Mohamed Sadik, Latif Ladid
2019 arXiv   pre-print
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]

Bachir Chihani, Khalil ur Rehman Laghari, Emmanuel Bertin, Denis Collange, Noël Crespi, Tiago H. Falk
2014 Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering  
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

Nikolaos Thomos, Thomas Maugey, Laura Toni
2022 Sensors  
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

Muhammad Zeeshan Asghar, Shafique Ahmed Memon, Jyri Hämäläinen
2022 Sustainability  
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  
., +, 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

Yin Zhang, Giancarlo Fortino, Limei Peng, Iztok Humar, Jianshan Sun
2020 IEEE Access  
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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