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Front Cover IEEE Netw. (IF 10.294) Pub Date : 2022-07-13
Presents the front cover for this issue of the publication.
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Table of Contents IEEE Netw. (IF 10.294) Pub Date : 2022-07-13
Presents the table of contents for this issue of the publication.
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Guest Editorial: Managing Next-Generation Networks for Intelligent Services and Applications IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Moayad Aloqaily, Hichem Sedjelmac, Lewis Tseng, Weverton Luis da Costa Cordeiro, Qian Zhang
Next-generation networks (NGNs) integrate the functionalities of a plethora of established and emerging technologies such as 5G, artificial intelligence (AI), edge intelligence, network softwarization, and data plane programmability. NGNs promise to achieve ultra-fast data rates and minimal latency in wireless communication and networking. They enable smart and autonomous services and applications
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Supporting Next-Generation Network Management with Intelligent Moving Devices IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Ismaeel Al Ridhawi, Safa Otoum
The concept of fixed infrastructures capable of fulfilling the requirements of moving devices in terms of connectivity and reliability has been the optimal solution for the past few decades. Today, such a solution is no longer feasible in the Internet of Things (IoT) era. All things are now connected, and a significant number of them are mobile, hence leading to connectivity and reliability issues
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Knowledge-Powered Explainable Artificial Intelligence for Network Automation toward 6G IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Yulei Wu, Guozhi Lin, Jingguo Ge
Communication networks are becoming increasingly complex toward 6G. Manual management is no longer an option for network operators. Network automation has been widely discussed in the networking community, and it is a sensible means to manage the complex communication network. Deep learning models developed to enable network automation for given operation practices have the limitations of lack of explainability
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V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Falko Dressler, Carla Fabiana Chiasserini, Frank H.P. Fitzek, Holger Karl, Renato Lo Cigno, Antonio Capone, Claudio Casetti, Francesco Malandrino, Vincenzo Mancuso, Florian Klingler, Gianluca Rizzo
As we move from 5G to 6G, edge computing is one of the concepts that needs revisiting. Its core idea is still intriguing: Instead of sending all data and tasks from an end user's device to the cloud, possibly covering thousands of kilometers and introducing delays lower-bounded by propagation speed, edge servers deployed in close proximity to the user (e.g., at some base station) serve as proxy for
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Security and Privacy in V2X Communications: How Can Collaborative Learning Improve Cybersecurity? IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Pradip Kumar Sharma, Deepansu Vohra, Shailendra Rathore
Advances in cellular technology are a key driver of the growing automotive vehicle-to-everything (V2X) market. In V2X communications, information from sensors and other sources travels via high-bandwidth, low-latency, high-reliability links, paving the way to fully autonomous driving and intelligent mobility. With the future adoption of 5G and beyond (5G&B) networks, V2X is likely to generate a huge
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Intelligent Aerial-Ground Surveillance and Epidemic Prevention with Discriminative Public and Private Services IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Hyunbum Kim, Jalel Ben-Othman, Kwang-il Hwang, Byoungjo Choi
Since complete surveillance is essential to provide safe daily life to citizen in smart cities, the issue of how to achieve secure surveillance has been driven by various research communities. Also, due to recent epidemic spread such as COVID-19, it is obvious that we should focus on how to manage a cooperative framework for possible future pandemic fights and allied medical services continuously.
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Call for Papers IEEE Netw. (IF 10.294) Pub Date : 2022-07-13
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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IIFNet: A Fusion-Based Intelligent Service for Noisy Preamble Detection in 6G IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Sunder Ali Khowaja, Kapal Dev, Parus Khuwaja, Quoc-Viet Pham, Nawab Muhammad Faseeh Qureshi, Paolo Bellavista, Maurizio Magarini
In this article, we present our vision of preamble detection in a physical random access channel for next-generation (Next-G) networks using machine learning techniques. Preamble detection is performed to maintain communication and synchronization between devices of the Internet of Everything and next-generation nodes. Considering the scalability and traffic density, Next-G networks have to deal with
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Federated-Learning-Aided Next-Generation Edge Networks for Intelligent Services IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Abhishek Hazra, Mainak Adhikari, Sudarshan Nandy, Khushbu Doulani, Varun G Menon
Nowadays, federated learning (F1) has been proposed as an emerging technology to store sensory data and train the edge networks using a set of computing devices with minimum training time. However, a collection of heterogeneous participating devices with different processing power and energy usage are used to analyze the model parameters locally. Therefore, an intelligent service provisioning mechanism
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Autonomous Transportation Systems and Services Enabled by the Next-Generation Network IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Linlin You, Junshu He, Wei Wang, Ming Cai
The vast development of the next-generation network (NGN) impels its integration with emerging technologies, such as big data, artificial intelligence, and federated learning, to deliver autonomous and intelligent services in various areas. Notably, in modern transportation systems (TSs), the advances of NGN enable a transformation toward an autonomous transportation system (ATS), which can bridge
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Toward Next-Generation and Service-Defined Networks: A NovaGenesis Control Agent for Future Internet Exchange Point IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Thiago Bueno da Silva, Fábio L. Verdi, Juliano Coelho Gonçalves de Melo, José Augusto Suruagy, Flávio Silva, Antônio M. Alberti
The Internet has modified how we interact with the world, disrupting our leisure, work model, and economy. Nonetheless, it presents an ossified architecture and infrastructure that may burden future applications. These limitations have led to the development of future Internet architectures (FIAs), for example, NovaGenesis (NG). Considering recent trend topics such as next-generation networks, software-defined
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An Evolutionary Pathway for the Quantum Internet Relying on Secure Classical Repeaters IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Gui-Lu Long, Dong Pan, Yu-Bo Sheng, Qikun Xue, Jianhua Lu, Lajos Hanzo
Until quantum repeaters become mature, quantum networks remain restricted either to limited areas of directly connected nodes or to nodes connected to a common node. We circumvent this limitation by conceiving quantum networks using secure classical repeaters combined with the quantum secure direct communication (QSDC) principle, which is a compelling form of quantum communication that directly transmits
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Call for Papers IEEE Netw. (IF 10.294) Pub Date : 2022-07-13
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
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Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Yiming Miao, Jun Yang, Bander Alzahrani, Guoguang Lv, Tarik Alafif, Ahmed Barnawi, Min Chen
Abnormal behavior poses a great threat to social security and stability. The resulting violence or crime leads to terrible consequences. How to utilize reasonable means to predict the dangerous intentions of massive crowds and prevent the potential hazard to the public is significant for social security. A crowd monitoring and management system is an effective way to detect abnormal behavior. In this
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Scalable Self-Sovereign Identity Architecture IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Jelena Mišić, Vojislav B. Mišić, Xiaolin Chang
We propose a scalable self-sovereign identity (S3I) system architecture that uses a hierarchically structured Byzantine fault tolerance layer of validating authorities and a permissioned blockchain to record and manage user identities. Users and service providers interact with the S3I system through nearby proxy nodes that store copies of the blockchain but do not participate in the consensus protocol
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Spatial Modulation: An Attractive Secure Solution to Future Wireless Networks IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Feng Shu, Lili Yang, Lin Liu, Xinyi Jiang, Guiyang Xia, Yuanyuan Wu, Xianpeng Wang, Jiangzhou Wang, Xiaohu You, Shi Jin
As a green and secure wireless transmission method, secure spatial modulation is becoming a hot research area. Its basic idea is to exploit both the index of activated transmit antenna and amplitude phase modulation signal to carry messages, improve security, and save energy. In this article, we review its crucial challenges: transmit antenna selection, artificial noise projection, power allocation
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Artificial Intelligence Powered Mobile Networks: From Cognition to Decision IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Guiyang Luo, Quan Yuan, Jinglin Li, Shangguang Wang, Fangchun Yang
Mobile networks (MNs) are anticipated to provide unprecedented opportunities to enable a new world of connected experiences and radically shift the way people interact with everything. MNs are becoming more and more complex, driven by ever increasing complicated configuration issues and blossoming new service requirements. This complexity poses significant challenges in deployment, management, operation
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Safeguarding Non-Orthogonal Multiple Access with Physical Layer Techniques IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Youhong Feng, Shihao Yan, Nan Yang, Zhen Yang, Jinhong Yuan
This article clarifies pivotal security issues in the context of non-orthogonal multiple access (NOMA) technology and presents potential methodologies to address them at the physical layer. Specifically, we first clarify the channel conditions for an external eavesdropper to use successive interference cancellation (SIC) for cancelling interference, which has recently been considered in the literature
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Identifying IP Usage Scenarios: Problems, Data, and Benchmarks IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Fan Zhou, Weifeng Zhang, Yong Wang, Ting Zhong, Goce Trajcevski, Ashfaq Khokhar
Given an IP address, understanding its initial assignment,and predicting its potential usage can significantly help toward improving efficiency of many practical IP-based applications, such as Ad-recommendation, point of interest selection, fraud detection, and Internet service optimization. However, there are only a few prior studies conducted on predicting IP usage from its assignment. Surprisingly
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Aerial Access Networks for Federated Learning: Applications and Challenges IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Quoc-Viet Pham, Ming Zeng, Thien Huynh-The, Zhu Han, Won-Joo Hwang
Aerial access networks (AANs) and mobile edge computing (MEC) have been considered as key enablers of future networks. In this article, we investigate the application of MEC-empowered AANs (also known as aerial computing) for federated learning (FL), a promising technology for providing private and distributed solutions to mobile edge networks. We first introduce the fundamentals of AANs and FL, and
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An Efficient Medium Access Control Scheme Based on MC-CDMA for Mobile Underwater Acoustic Networks IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Jiani Guo, Shanshan Song, Jun Liu, Lei Wan, Yan Zhao, Guangjie Han
Performing effective medium access control (MAC) encounters great challenges for mobile underwater acoustic networks (UANs), because it suffers from low signal-to-noise ratio, Doppler shift, large communication latency, and so on. Multi-carrier code-division multiple access (MC-COMA) is a promising modulation technique appropriate for solving the above restrictions. In this article, we design a novel
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A Bilayer Scalable Nakamoto Consensus Protocol for Blockchain Systems IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Zhenzhen Jiao, Rui Tian, Dezhong Shang, Hui Ding, Baoxian Zhang, Cheng Li
How to simultaneously achieve high security level, good scalability, and full decentralization is still a big issue in the design of a blockchain system. In this article, we propose Bicomp, a bilayer, scalable Nakamoto consensus protocol that is based purely on decentralized Nakamoto consensus. Bicomp works to generate two types of blocks - microblocks for concurrent in-network transaction serialization
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AI-Aided Integrated Terrestrial and Non-Terrestrial 6G Solutions for Sustainable Maritime Networking IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Salwa Saafi, Olga Vikhrova, Gábor Fodor, Jiri Hosek, Sergey Andreev
The maritime industry is experiencing a technological revolution that affects shipbuilding, operation of both seagoing and inland vessels, cargo management, and working practices in harbors. This ongoing transformation is driven by the ambition to make the ecosystem more sustainable and cost-efficient. Digitalization and automation help achieve these goals by transforming shipping and cruising into
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Physical Layer Security in Distributed Antenna Systems Using One-Bit Feedback Information IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Haijun Tan, Ning Xie, Alex X. Liu
This article concerns the physical layer security (PLS) problem in distributed antenna systems (DASs), where eavesdroppers are equipped with multiple antennas. If both legitimate transmitter (Alice) and receiver (Bob) broadcast wireless signals via a DAS, the channel state information (CSI) between Alice and Bob may be exposed to an eavesdropper (Eve) due to the broadcast nature of wireless signals
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SocialNet of Things: A Ubiquitous Relationship Network Inspired by Social Space IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Huansheng Ning, Wenxi Wang, Fadi Farha, Jinsheng Xie, Mahmoud Daneshmand
The things existing in cyberspace, physical space, social space, and thinking space (CPSTs) are connected through relationships and interactions. The SocialNet, a ubiquitous network containing these relationships, is getting complex as a result of the interaction between social space and other spaces. Social space plays an important role in promoting the connection and convergence of the other three
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Deep-Learning-Based Device Fingerprinting for Increased LoRa-IoT Security: Sensitivity to Network Deployment Changes IEEE Netw. (IF 10.294) Pub Date : 2022-07-13 Bechir Hamdaoui, Abdurrahman Elmaghbub
Deep-learning-based device fingerprinting has recently been recognized as a key enabler for automated network access authentication. Its robustness to impersonation attacks due to the inherent difficulty of replicating physical features is what distinguishes it from conventional cryptographic solutions. Although device fingerprinting has shown promising performance, its sensitivity to changes in the
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Front Cover IEEE Netw. (IF 10.294) Pub Date : 2022-05-30
Presents the front cover for this issue of the publication.
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Table of Contents IEEE Netw. (IF 10.294) Pub Date : 2022-05-30
Presents the table of contents for this issue of the publication.
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Scanning the Literature IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Xiaohua Tian
Presents concise summaries of selected papers that have recently been published in the field of networking. Each summary describes the paper’s main idea, methodology, and technical contributions. The purpose of the column is to bring the state of the art of networking research to readers of IEEE Network. Authors are also welcome to recommend their recently published work to the column, and papers with
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Guest Editorial: New Network Architectures, Protocols, and Algorithms for Time-Sensitive Applications IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Yang Chen, Bingyang Liu, Lin Cai, Jean-Yves Le Boudec, Miguel Rio, Pan Hui
The Internet architecture and protocols have been very successful in the past decades, being simple and scalable with best effort services. The endpoints recover errors and react to network congestion by retransmission and reducing the sending rate, respectively. In most web applications, consumers, in most cases human beings, can tolerate a certain level of service degradation. All these factors led
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A Low-Latency Communication Design for Brain Simulations IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Xin Du, Yuhao Liu, Zhihui Lu, Qiang Duan, Jianfeng Feng, Jie Wu, Boyu Chen, Qibao Zheng
Brain simulation, as one of the latest advances in artificial intelligence, facilitates better understanding about how information is represented and processed in the brain. The extreme complexity of the human brain makes brain simulations only feasible on high-performance computing platforms. Supercomputers with a large number of interconnected graphical processing units (GPUs) are currently employed
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TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time-Sensitive Networks IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Dong Yang, Kai Gong, Jie Ren, Weiting Zhang, Wen Wu, Hongke Zhang
Time-sensitive networking (TSN) can help standardize deterministic Ethernet across industrial automation. The deterministic guarantee of TSN is based on network resource scheduling in the unit of flow. However, the state-of-the-art TSN single flow scheduling scheme cannot meet the coordinated scheduling requirements of multiple data flows in advanced industrial applications (e.g., control and safety
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Software-Defined Maritime Fog Computing: Architecture, Advantages, and Feasibility IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Chao Zhu, Wenjun Zhang, Yi-Han Chiang, Neng Ye, Lei Du, Jianping An
Advances in sensing and communication technologies have enabled emerging applications in ocean research. The stringent resource limitations, however, hinder local task processing on maritime devices. Cloud-based task offloading is also not feasible due to the unaffordable costs induced by satellite links. In this work, we propose a visionary architecture on software-defined maritime fog computing (SD-MFC)
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Enabling Deterministic Communications for End-to-End Connectivity with Software-Defined Time-Sensitive Networking IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Junli Xue, Guochu Shou, Hongxing Li, Yaqiong Liu
Industrial Internet, or Industry 4.0, has presented strict requirements for deterministic transmission capability over a shared network of multiple applications. Time-sensitive metworking (TSN) is recognized as an efficient networking solution for the features of bounded delay, low delay variation, and zero congestion loss. However, the benefits of TSN are limited to closed networks now. The interconnection
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Enabling Application-Aware Traffic Engineering in IPv6 Networks IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Lin He, Shicheng Wang, Yichi Xu, Peng Kuang, Jiamin Cao, Ying Liu, Xing Li, Shuping Peng
The Internet hosts numerous applications with different requirements for network delay, bandwidth, jitter, packet loss, and so on. However, in the TCP/IP network architecture, the network and application layers are decoupled, which means that the network does not have a fine-grained understanding of the application requirements. Therefore, it is not easy to provide truly fine-grained traffic operations
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Toward Zero Touch Configuration of 5G Non-Public Networks for Time Sensitive Networking IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Francisco Luque-Schempp, Laura Panizo, María-del-Mar Gallardo, Pedro Merino, Javier Rivas
The need to increase mobility and remove cables in industrial environments is pushing 5G as a valuable communication system to connect traditional deterministic Ethernet-based devices. One alternative is the adoption of Time Sensitive Networking (TSN) standards over 5G Non-Public Networks (5G NPN) deployed in the company premises. This scenario presents several challenges, the most relevant being the
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Network Latency and Application Performance Aware Cluster Scheduling in Data Centers IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Diana Andreea Popescu, Andrew W. Moore
Data-center-based cloud computing has revolutionized the way businesses use computing infrastructure. Instead of building their own data centers, companies rent computing resources and deploy their applications on cloud hardware. Providing customers with well-defined application performance guarantees is of paramount importance. A user's application performance is subject to the constraints of the
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Communications Survival Strategies for Industrial Wireless Control IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Saeed R. Khosravirad, Olav Tirkkonen, Ülo Parts, Liang Zhou, Dani Korpi, Paolo Baracca, Mikko A. Uusitalo
Industrial wireless control systems are mainly designed on the premise of time-sensitive ultra-reliable low-latency communications (URLLC). With the introduction of survival time to the quality of service requirements of such systems, the design paradigm has evolved from typical link reliability (i.e., minimizing packet error rate), to service availability, that is, minimizing the chance of burst errors
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Guest Editorial: Next-Generation Optical Access Networks to Support Super-Broadband Services and 5G/6G Mobile Networks IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Zhensheng Jia, Elaine Wong, Marco Ruffini, Jun-Ichi Kani, Junwen Zhang
We are pleased to introduce to our readers the following Special Issue (SI) on Next-Generation Optical Access networks to support Super-Broadband Services and 5G/6G Mobile Networks in IEEE Network. In recent years, optical access networks have been playing a growing role in mobile networks and will become even more prominent with 5G/6G due to the demand for extreme bandwidth, coverage, synchronization
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TDM-PON-Based Optical Access Network for Tactile Internet, 5G, and Beyond IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 HwanSeok Chung, Han Hyub Lee, Kwang Ok Kim, Kyeong-Hwan Doo, YongWook Ra, ChanSung Park
An optical access network plays a critical role in accommodating explosive new services such as augmented reality (AR), virtual reality (VR), machine-to-machine, and human-to-machine interaction applications. Continuous expansion of capacity as well as low latency in the optical access network are very important issues to avoid loss of connectivity for 5G and Tactile Internet. A time-division multiplexing
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Architectural Design and Life Cycle Management of Network Slicing for Software-Defined Optical Access Networks IEEE Netw. (IF 10.294) Pub Date : 2022-05-30 Chengliang Zhang, Chengbin Shen, Yong Luo, Shurong Xu, Liang Chen, Yunping Xu, Dezhi Zhang, Jian Zhang, Bo Wang, Ming Jiang, Ming Cheng
Optical access networks (OANs) with passive optical network technology have been globally deployed on a massive scale, serving as the fundamental information infrastructure of teleCommunication networks. Some telecom service providers are re-architecting their networks based on cloud central office with software-defined networking and network functions virtualization capabilities to provide service