The SOLIDS 6G Mobile Network Architecture: Driving Forces, Features, and Functional Topology

Li, Na; Deng, Juan; Wang, Yingying; Sun, Junshuai; Huang, Yühong

doi:10.1016/j.eng.2021.07.013

Cited by 26 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As the network will scale, it is predicted that 5G base stations alone will consume about three times more energy with respect to 4G ones [12]. Moreover, as previously mentioned in Section I, 5/6G continuum's aggregation/multiplexing gain will be limited due to the geographically distributed workload.…”

Section: Contextmentioning

confidence: 99%

6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services

Bolla

Bruschi

Lombardo³

et al. 2023

IEEE Netw. Lett.

View full text Add to dashboard Cite

6G of radio mobile networks should become an essential enabler for any vertical sector to meet sustainable growth targets of both the United Nations (UN) 2030 Agenda and the European Green Deal. 6G might lead to the dematerialization of (most of) any physical appliances, moving their smart parts to the network edge as virtual software instances. Such software instances can leverage on novel carbon-neutral schemes for computing and communication. Owing this vision, this paper aims to analyze how energy-and carbon-awareness can be introduced into the complex architecture of 6G, and how the diverse stakeholders in the 6G value-chain can benefit from this awareness.

show abstract

Section: Contextmentioning

confidence: 99%

6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services

Bolla

Bruschi

Lombardo³

et al. 2023

IEEE Netw. Lett.

View full text Add to dashboard Cite

show abstract

“…The combination of communication, computation and sensing enhances services and business cases. Rather than relying on patched assistance, service providers now expect more efficient and effective security support [54][55][56][57]. Network Latency Issues: It is desired to have a minimal computational delay for dealing with devices and sensors used in the healthcare domain.…”

Section: G and Healthcare Domain: Potential Challenges Addressedmentioning

confidence: 99%

6G Driven Fast Computational Networking Framework for Healthcare Applications

et al. 2022

View full text Add to dashboard Cite

New Sixth-generation (6G) networks rely heavily on the Intelligence Internet of Things (IIoT) to store and process data more efficiently. 6G is desired to offer ultra-low latency, high bandwidth, and improvised quality of service that can effectively handle the communication among the nodes. All the healthcare facilities must be outfitted with cutting-edge technology to assist the individual with intelligent diagnosis, patient-centric treatment, and a range of other healthcare services both in the hospital and remotely. To make the system ready and adaptable to the technology and provide services to divergent applications ranging from robotic surgeries to remote monitoring of the patients through wearable technologies in an Ambient Assistive Living (AAL) environment over the intelligent networking platform. Various networking nodes and terminal devices provide the services for applications in the healthcare domain, which needs a backbone framework to deliberate the time-intensive services. This paper proposes a reference layered communication framework for the nodes and devices in real-time communication. The feature perspective aspects of 6G technology present the futuristic healthcare application for effective treatment and smart integration of services.

show abstract

“…Future networks are expected to support diverse and differentiated service scenarios [1], including autonomous driving, telemedicine, and smart cities. To achieve adaptability across various scenarios, Service-Based Architecture (SBA) [2] leveraging software and virtualization technology is crucial.…”

Section: Introductionmentioning

confidence: 99%

An Autonomous Deployment Mechanism for AI Security Services

Wang,

Zhou,

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Future network architectures are expected to be autonomous, intelligent, and service-based, posing new security challenges. To address these challenges, the Artificial Intelligence (AI) security service emerges as a promising solution. However, the complex service configurations and performance guarantees hinder the autonomous deployment of the AI security service. This paper proposes an autonomous deployment mechanism in Software-Defined Networking/Network Function Virtualization (SDN/NFV) enabled networks. First, our mechanism introduces user and decision planes on top of the control plane, enabling hierarchical intent expression and translation from user security intent to security policies. Then, we analyze the embedding problem of the AI-based Security Function Chain (AISFC) during security policy generation. We formulate the AISFC embedding problem as an Integer Linear Programming (ILP) task to minimize the total response delay. By decomposing it into AISF placement and routing, we design a heuristic algorithm with polynomial time complexity. Finally, we validate the proposed mechanism through a prototype system and numerical simulations, demonstrating its ability to autonomously translate, implement, and guarantee the user security intent. Comparative analysis shows that our approach considering the relationship between available computing resources and delay achieves smaller response delays than the baseline. Furthermore, our algorithm achieves a gap from optimality approximately 28.57% smaller than the greedy algorithm and supports networks that are 4.34 times larger in scale than the exact solution within a 2-second execution time.

show abstract

The SOLIDS 6G Mobile Network Architecture: Driving Forces, Features, and Functional Topology

Cited by 26 publications

References 7 publications

6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services

6G Enablers for Zero-Carbon Network Slices and Vertical Edge Services

6G Driven Fast Computational Networking Framework for Healthcare Applications

An Autonomous Deployment Mechanism for AI Security Services

Contact Info

Product

Resources

About