Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G

Ahmadi, Hamed; Nag, Avishek; Khan, Zaheer; Sayrafian, Kamran; Rahadrja, Susanto

doi:10.1109/mcomstd.0001.2000041

Cited by 67 publications

(29 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fourth requirement is rapid and real-time implementation. The DTs in a 6G network must use cutting-edge simulation techniques in order to achieve execution speeds faster than real-time [42]. To dynamically enable such an integrated test bed with digital twinning equipment, the DTs in the 6G network must be capable of synchronizing live and simulated components in real-time.…”

Section: B the Implications Of Dt Technology On The Operation And Per...mentioning

confidence: 99%

Empowering 6G Communication Systems With Digital Twin Technology: A Comprehensive Survey

et al. 2022

View full text Add to dashboard Cite

The global roll-out phase of the fifth-generation of mobile communication systems is currently underway. The industry and academia have already begun research on potential sixth-generation (6G) communication systems. The 6G communication system is anticipated to provide network connectivity for an extensive range of use cases in a variety of emerging vertical industries. Consequently, a new set of challenging requirements and more stringent key performance indicators have to be considered, a novel architecture has to be designed, and unique enabling technologies shall be developed in order to fulfill the technical, regulatory, and business demands of the communication service customers. These requirements place enormous pressure on the players in the telecommunications industry, including network operators, service providers, hardware suppliers, standards development organizations (SDOs), and regulatory authorities aimed at developing, standardizing, and regulating an energy-efficient, cost-effective, performing, and sustainable 6G communication ecosystem. One area of focus for 6G communication systems is the digital twin (DT) technology, which is a well-defined set of tools designed to create virtual representations of physical objects that serve as their digital counterparts. This article explores the applicability of the DT technology in the context of 6G communication systems by viewing it as a promising tool to make research, development, operation, and optimization of the next-generation communication systems highly efficient. The major contribution of this article is fivefold. Firstly, we provide critical analysis of the state-of-the-art literature in the field of DT technology in order to capture its essence in several application areas since its inception. Secondly, we conduct a comprehensive survey of the research concerning the deployment of DT technology in 6G communication systems. Thirdly, we discuss potential use cases and key areas of applications (along with detailed examples) of 6G communication systems that can benefit from DT technology. Fourthly, we present an overview of the activities of several SDOs that are active in the field of DT technology. Finally, we identify several open research challenges and future directions that need to be addressed before the end-to-end deployment of DT technology in 6G communication systems.

show abstract

Section: B the Implications Of Dt Technology On The Operation And Per...mentioning

confidence: 99%

Empowering 6G Communication Systems With Digital Twin Technology: A Comprehensive Survey

et al. 2022

View full text Add to dashboard Cite

show abstract

“…This enables the manufacturer to anticipate issues before they happen and boosts the effectiveness of the production process. Likewise, the MEC ecosystem can be managed and troubleshot to enhance its performance using its DT [11]. Therefore, there is bidirectional reliance between DT and MEC in the 6G mobile-edge framework.…”

Section: B Bidirectional Dt and Mecmentioning

confidence: 99%

“…1) MEC-enabled DT: As mentioned above, AI algorithms can rely on the DT to predict how the physical process will perform using up-to-date and historical data. However, training AI models require large datasets and can be very computationintensive [11]. As illustrated in Fig.…”

Section: B Bidirectional Dt and Mecmentioning

confidence: 99%

6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions

Yu¹,

Alhilal²,

Hui³

et al. 2022

Preprint

View full text Add to dashboard Cite

The Metaverse has emerged as the successor of the conventional mobile internet to change people's lifestyles. It has strict visual and physical requirements to ensure an immersive experience (i.e., high visual quality, low motion-tophoton latency, and real-time tactile and control experience). However, the current communication systems fall short to satisfy these requirements. Mobile edge computing (MEC) has been indispensable to enable low latency and powerful computing. Moreover, the sixth generation (6G) networks promise to provide end users with high-capacity communications to MEC servers. In this paper, we bring together the primary components into a 6G mobile-edge framework to empower the Metaverse. This includes the usage of heterogeneous radios, intelligent reflecting surfaces (IRS), non-orthogonal multiple access (NOMA), and digital twins (DTs). We also discuss novel communication paradigms (i.e., semantic communication, holographic-type communication, and haptic communication) to further satisfy the demand for humantype communications and fulfill user preferences and immersive experiences in the Metaverse. I. INTRODUCTIONThe Metaverse is the blended space at the intersection between physical and virtual spaces, extended reality (XR). It is regarded as the successor to the conventional Internet, changing the way people work, entertain, and socialize. With the widespread of the internet of things (IoT) and embedded sensors, data can be collected to create digital twins (DTs) in the virtual world. Conversely, DTs can assist in physical decisionmaking using simulation and machine learning. XR includes many facets, specifically, Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and tactile internet (TI). The users' devices have limited batteries and resources. This makes offloading computing tasks to remote servers, whether partially or fully, the optimal solution. However, the current communication systems fall short to satisfy the bandwidth demand and low latency requirements of the Metaverse applications. Emerging 6G technologies can eliminate such physical barriers to enable the desired experience in the Metaverse.In this paper, we provide an overview of the Metaverse and its requirements and investigate the enabling 6G technologies and communication paradigms. Afterward, we discuss some

show abstract

“…The associate editor coordinating the review of this manuscript and approving it for publication was Frederico Guimarães . systems, Augmented Reality (AR)/ Virtual Reality (VR)/ Mixed Reality (MR), Blockchain and Trust technologies, and wireless brain-computer interfaces [1], [2]. This will further load the network and push for serving a variety of new services and applications instantaneously in addition to the existing ones.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach

et al. 2022

Self Cite

View full text Add to dashboard Cite

The Internet of Things (IoT) universe will continue to expand with the advent of the sixth generation of mobile networks (6G), which is expected to support applications and services with higher data rates, ultra-reliability, and lower latency compared to the fifth generation of mobile networks (5G). These new demanding 6G applications will introduce heavy load and strict performance requirements on the network. Network Function Virtualization (NFV) is a promising approach to handling these challenging requirements, but it also poses significant Resource Allocation (RA) challenges. Especially since 6G network services will be highly complicated and comparatively short-lived, network operators will be compelled to deploy these services in a flexible, on-demand, and agile manner. To address the aforementioned issues, microservice approaches are being investigated, in which the services are decomposed and loosely coupled, resulting in increased deployment flexibility and modularity. This study investigates a new RA approach for microservices-based NFV for efficient deployment and decomposition of Virtual Network Function (VNF) onto substrate networks. The decomposition of VNFs involves additional overheads, which have a detrimental impact on network resources; hence, finding the right balance of when and how much decomposition to allow is critical. Thus, we develop a criterion for determining the potential/candidate VNFs for decomposition and also the granularity of such decomposition. The joint problem of decomposition and efficient embedding of microservices is challenging to model and solve using exact mathematical models. Therefore, we implemented a Reinforcement Learning (RL) model using Double Deep Q-Learning, which revealed an almost 50% more normalized Service Acceptance Rate (SAR) for the microservice approach over the monolithic deployment of VNFs.

show abstract

Networked Twins and Twins of Networks: An Overview on the Relationship Between Digital Twins and 6G

Cited by 67 publications

References 12 publications

Empowering 6G Communication Systems With Digital Twin Technology: A Comprehensive Survey

Empowering 6G Communication Systems With Digital Twin Technology: A Comprehensive Survey

6G Mobile-Edge Empowered Metaverse: Requirements, Technologies, Challenges and Research Directions

Dynamic Decomposition of Service Function Chain Using a Deep Reinforcement Learning Approach

Contact Info

Product

Resources

About