Article
Chemistry, Multidisciplinary
Samier Barguil, Victor Lopez Alvarez, Luis Miguel Contreras Murillo, Oscar Gonzalez de Dios, Alejandro Alcala Alvarez, Carlos Manso, Pol Alemany, Ramon Casellas, Ricardo Martinez, David Gonzalez-Perez, Xufeng Liu, Jose-Miguel Pulido, Juan Pedro Fernandez-Palacios, Raul Munoz, Ricard Vilalta
Summary: Network operators are transitioning to a more modern architecture defined by programmable interfaces and standard protocols to support the new use cases derived from 5G adoption. The study validates network slicing instantiation in an IP/Optical environment using standard protocols and interfaces, showing the creation, modification, and deletion of network slices, and the use of standard communication protocols in conjunction with YANG data models.
APPLIED SCIENCES-BASEL
(2021)
Article
Telecommunications
Alessio Giorgetti, Davide Scano, Luca Valcarenghi
Summary: Network slicing is an important concept recently introduced in communication networks, defining logical networks with specific requirements. SDN is a candidate technology for implementing network slicing, but providing different QoS to multiple slices sharing a single physical infrastructure is challenging. A proposed SDN solution based on the OpenFlow standard aims to effectively utilize bandwidth and provide isolation in terms of connectivity and performance for deployed slices.
IEEE COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Hardware & Architecture
B. Shariati, L. Velasco, J-J Pedreno-Manresa, A. Dochhan, R. Casellas, A. Muqaddas, O. Gonzalez de Dios, L. Luque Canto, B. Lent, J. E. Lopez de Vergara, S. Lopez-Buedo, F. Moreno, P. Pavon, M. Ruiz, S. K. Patri, A. Giorgetti, F. Cugini, A. Sgambelluri, R. Nejabati, D. Simeonidou, R-P Braun, A. Autenrieth, J-P Elbers, J. K. Fischer, R. Freund
Summary: The H2020 METRO-HAUL project has developed a latency-aware, cost-effective, agile, and programmable optical metro network. The project successfully deployed 5G services, particularly a public safety video surveillance application with low-latency object detection and tracking. The analysis of end-to-end quality of service, service setup time, and soft-failure detection time shows promising results.
JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
(2022)
Article
Computer Science, Hardware & Architecture
Yulei Wu, Yuxiang Ma, Hong-Ning Dai, Hao Wang
Summary: 5G heterogeneous networks have become a promising platform to connect a growing number of Internet-of-Things devices and accommodate various vertical services. Deep learning is widely used to enhance network quality-of-service and user quality-of-experience, while addressing privacy preservation issues in this environment.
Article
Computer Science, Information Systems
Xi Li, Carlos Guimaraes, Giada Landi, Juan Brenes, Josep Mangues-Bafalluy, Jorge Baranda, Daniel Corujo, Vitor Cunha, Joao Fonseca, Joao Alegria, Aitor Zabala Orive, Jose Ordonez-Lucena, Paola Iovanna, Carlos J. Bernardos, Alain Mourad, Xavier Costa-Perez
Summary: This article proposes multiple multi-domain solutions for deploying private 5G networks in vertical industries and interconnecting them with public networks. The solutions have been validated in real industry verticals, demonstrating feasibility and efficiency.
Article
Computer Science, Information Systems
Phudit Ampririt, Shunya Higashi, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: This study presents two fuzzy-based handover decision models for 5G wireless networks considering different network slicing parameters. The simulation results show that the considered parameters have different effects on handover decision. Additionally, the results indicate that the FHDM2 model performs better than the FHDM1 model since it considers four input parameters.
INTERNET OF THINGS
(2023)
Article
Computer Science, Information Systems
Phudit Ampririt, Seiji Ohara, Ermioni Qafzezi, Makoto Ikeda, Keita Matsuo, Leonard Barolli
Summary: The study proposes an Integrated Fuzzy-based Admission Control System (IFACS) to address the challenges of 5G networks, considering multiple input parameters for acceptance decision. When QoS, SP, and URDT parameters are increased, the acceptance decision value increases, but when the SOC parameter is increased, the acceptance decision value decreases.
INTERNET OF THINGS
(2021)
Article
Computer Science, Information Systems
Hnin Pann Phyu, Diala Naboulsi, Razvan Stanica
Summary: 5G and beyond networks are expected to support a wide range of services with diverse requirements. Network slicing has been introduced as a promising paradigm to accommodate these services, but its practical implementation brings challenges. Recent advances in machine learning have addressed some of these challenges by enabling autonomous resource management in network slicing.
Article
Computer Science, Information Systems
Chien-Chang Liu, Li-Der Chou
Summary: This paper proposes a deep reinforcement learning algorithm and a deep neural network control system to estimate future resource usage, select appropriate slice requests using a deep neural network strategy, and maximize rewards by interacting with the environment to address resource management issues for network slicing.
Article
Computer Science, Information Systems
Ramraj Dangi, Praveen Lalwani
Summary: Newly devised 5G and 6G networks are secure, low latency, dependable, and versatile, offering diverse services such as mMTC, eMBB, and URLLC. Network slicing plays a crucial role in providing these services over the same physical network, and artificial intelligence and machine learning algorithms are used to optimize network slicing. This study proposes a hybrid deep learning model, HHO-CNN+LSTM, for effective network slicing based on a three-phase methodology: dataset loading, HHO optimization, and slicing classification. The results show that the proposed model outperforms existing algorithms and accurately predicts network slices for excellent service provision.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Mohamed Mekki, Sagar Arora, Adlen Ksentini
Summary: An efficient and scalable monitoring system is crucial for monitoring and validating the functioning of services and infrastructure in a network. This is especially important in 5G networks, which rely on network slicing and present unique challenges to monitoring. This paper introduces a novel monitoring framework for network slicing in mobile networks, featuring scalability, technological domain agnosticism, and multi-tenancy support in a cloud-native environment.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Chemistry, Analytical
Saurabh Singh, C. Rajesh Babu, Kadiyala Ramana, In-Ho Ra, Byungun Yoon
Summary: The use of blockchain technology in network slicing models allows for adaptive resource allocation and cost reduction, meeting the diverse requirements of 5G and Beyond-5G networks.
Article
Computer Science, Information Systems
Shalitha Wijethilaka, Madhusanka Liyanage
Summary: Network slicing is a key technology in 5G architecture that enables the realization of IoT, dividing the physical network into multiple logical networks with different characteristics to meet diverse networking demands. This survey provides a comprehensive analysis of network slicing's utilization in IoT, addressing technical challenges and discussing integration challenges and open research problems. Integration of other emerging technologies like blockchain and AI/ML in network slicing and IoT integration is also explored.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Computer Science, Information Systems
Yunhua He, Cui Zhang, Bin Wu, Yigang Yang, Ke Xiao, Hong Li
Summary: This article designs a multichain 5G network slicing service quality computing model to calculate the service quality parameters of the network slicing. By deploying smart contracts on each blockchain to calculate information, the frequency of information transmission can be reduced and efficiency improved. The coordination of smart contract development across multiple blockchains ensures smoother calculation and relevant requirements. Security analysis and experimental results prove the feasibility and efficiency of the multichain 5G network slicing service quality computing model in practice.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Yuanqiu Luo, Ming Jiang, Dezhi Zhang, Frank Effenberger
Summary: Driven by technology advances in 5G wireless networks and optical communications, traditional industrial networks are undergoing fundamental changes to enhance automation and interconnectivity. Network slicing allows for tailored services on the same physical network, enabling industrial networks to adapt and remain competitive. This article proposes a novel network slicing model for future industrial networks, which is validated through a field trial in China Telecom's 5G and PON networks. The results demonstrate the capability of 5G and PON technologies to meet the service requirements and improve service quality for industrial networks.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Tezcan Cogalan, Daniel Camps-Mur, Jesus Gutierrez, Stefan Videv, Vladica Sark, Jonathan Prados-Garzon, Jose Ordonez-Lucena, Hamzeh Khalili, Ferran Canellas, Adriana Fernandez-Fernandez, Meysam Goodarzi, Anil Yesilkaya, Rui Bian, Srinivasan Raju, Mir Ghoraishi, Harald Haas, Oscar Adamuz-Hinojosa, Antonio Garcia, Carlos Colman-Meixner, Alain Mourad, Erik Aumayr
Summary: The future of the manufacturing industry relies heavily on digital systems, specifically private 5G networks, to meet stringent requirements for availability, reliability, security, low latency, and high accuracy positioning. The 5G-CLARITY system integrates multiple access networks, provides high-precision positioning, and orchestrates private network slices, demonstrating its ability to monitor traffic, achieve centimeter-level positioning accuracy, and provision network slices quickly.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Article
Computer Science, Information Systems
Sihem Ouahouah, Miloud Bagaa, Jonathan Prados-Garzon, Tarik Taleb
Summary: Unmanned aerial vehicles (UAVs) have attracted attention from academia and industry due to their potential applications. The industry aims to extend commercial UAV operations to beyond visual line of sight (BVLOS) areas. However, this poses challenges for UAV autonomy in detecting and avoiding collisions. This article proposes probabilistic and deep-reinforcement-learning-based algorithms to address these challenges and optimize energy consumption.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Oscar Adamuz-Hinojosa, Pablo Munoz, Pablo Ameigeiras, Juan M. Lopez-Soler
Summary: The planning of Radio Access Network (RAN) slices is crucial for the management and orchestration of RAN slices. It involves determining the feasibility of deploying new slices, re-configuring existing ones, and renegotiating agreements if necessary. We propose a framework for planning RAN slices that require Guaranteed Bit Rate (GBR) for their data sessions with a low blocking probability. Through simulations, we demonstrate the effectiveness of our solution in terms of performance and renegotiation capability.
Article
Engineering, Electrical & Electronic
Oscar Adamuz-Hinojosa, Vincenzo Sciancalepore, Pablo Ameigeiras, Juan M. Lopez-Soler, Xavier Costa-Perez
Summary: Radio Access Network (RAN) slicing faces multiple challenges, especially the need for Mobile Network Operators (MNOs) to ensure that the requirements of each slice can be met throughout its lifetime. This paper proposes a Stochastic Network Calculus (SNC)-based model for slicing, providing delay bounds based on the allocated radio resources, target violation probability, and traffic demand distribution. Additionally, heuristics are proposed for planning ultra-Reliable Low Latency Communication (uRLLC) slices to optimize resource assignment and delay bounds. The effectiveness of the proposed model and heuristics are demonstrated.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Lorena Chinchilla-Romero, Jonathan Prados-Garzon, Pablo Munoz, Pablo Ameigeiras, Juan M. Lopez-Soler
Summary: Industry 4.0 aims to achieve smart factories through the assistance and automation of industrial manufacturing processes. High-performance wireless connectivity is needed for industry digitization and the traffic heterogeneity of emerging wireless-enabled services. While 5G is the focus, alternative wireless access technologies like Wi-Fi can reduce the costs of deploying private 5G networks. This article assesses the throughput gain brought by 5G multi-connectivity capabilities in an industrial multi-WAT Radio Access Network.
2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC
(2023)
Proceedings Paper
Computer Science, Hardware & Architecture
Lorena Chinchilla-Romero, Jonathan Prados-Garzon, Pablo Munoz, Pablo Ameigeiras, Juan J. Ramos-Munoz
Summary: Multi-Wireless Access Technology (WAT) Radio Access Networks (RANs) are becoming crucial in 5G and beyond networks due to spectrum scarcity, signal confinement, and cost reduction. However, modeling and solving the Radio Resource Provisioning (RRP) optimization problem in multi-WAT scenarios is computationally complex. In this work, a Deep Reinforcement Learning-assisted solution for RRP in a multi-WAT private 5G network is proposed, along with its contextualization in the Open RAN architecture framework. Simulation-based proof-of-concept validates the proposal's design and operation in a realistic private 5G network scenario.
2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC
(2023)
Article
Computer Science, Information Systems
Jonathan Prados-Garzon, Tarik Taleb, Miloud Bagaa
Summary: This article proposes an offline solution called NEPTUNO for the flow allocation problem in 5G backhaul networks. NEPTUNO combines exact optimization methods and heuristic techniques, and leverages data analytics to maximize the flow acceptance ratio while guaranteeing the deterministic Quality-of-Service requirements of critical flows.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Proceedings Paper
Computer Science, Information Systems
Jonathan Prados-Garzon, Lorena Chinchilla-Romero, Pablo Ameigeiras, Pablo Munoz, Juan M. Lopez-Soler
Summary: Time-Sensitive Networking (TSN) is expected to be a cornerstone in future industrial networks due to its deterministic quality of service and scalability advantages. The article evaluates the maximum capacity and flow allocation problem in asynchronous TSN networks, showing that network topology and traffic matrix significantly impact link utilization.
2021 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT (EUCNC/6G SUMMIT)
(2021)