Customization and Trade-offs in 5G RAN Slicing

Sexton, Conor; Marchetti, Nicola; DaSilva, Luiz A.

doi:10.1109/mcom.2019.1800360

Cited by 21 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to providing vertical slices (for vertical industries), NS may be used to generate horizontal slices which aim to improve the performance of User Equipment (UE) and enhance the user experience [92]. Although initially proposed for the partition of Core Networks (CN), using techniques such as Network Function Virtualization (NFV) and Software Defined Networking (SDN) [93], the concept of NS has been extended to provide efficient end-to-end data services by slicing radio resources in Radio Access Networks (RANs) as well [94], [95]. The slicing of radio resources mainly involves dynamic allocation of time and frequency resources based on the characteristics of multiple data services.…”

Section: F Network Slicing Based Ramentioning

confidence: 99%

A Survey on Resource Allocation in Vehicular Networks

Noor-A-Rahim

Liu

Lee

et al. 2022

IEEE Trans. Intell. Transport. Syst.

134

View full text Add to dashboard Cite

Vehicular networks, an enabling technology for Intelligent Transportation System (ITS), smart cities, and autonomous driving, can deliver numerous on-board data services, e.g., road-safety, easy navigation, traffic efficiency, comfort driving, infotainment, etc. Providing satisfactory Quality of Service (QoS) in vehicular networks, however, is a challenging task due to a number of limiting factors such as erroneous and congested wireless channels (due to high mobility or uncoordinated channel-access), increasingly fragmented and congested spectrum, hardware imperfections, and anticipated growth of vehicular communication devices. Therefore, it will be critical to allocate and utilize the available wireless network resources in an ultra-efficient manner. In this paper, we present a comprehensive survey on resource allocation schemes for the two dominant vehicular network technologies, e.g. Dedicated Short Range Communications (DSRC) and cellular based vehicular networks. We discuss the challenges and opportunities for resource allocations in modern vehicular networks and outline a number of promising future research directions.

show abstract

Section: F Network Slicing Based Ramentioning

confidence: 99%

A Survey on Resource Allocation in Vehicular Networks

Noor-A-Rahim

Liu

Lee

et al. 2022

IEEE Trans. Intell. Transport. Syst.

134

View full text Add to dashboard Cite

show abstract

“…The selection of unique numerology in every time-slot can avoid the effect of inter-numerology interference (INI) and the occurred spectrum wastage due to the utilization of guard-bands. By considering the RAN slices with different numerologies, the authors have analyzed the trade-off between the flexibility and overhead related to their potential co-existence in [26]. The slicing problem has been considered in [27] to show how time-frequency resources with different numerologies can be allocated to serve the users in a 5G system.…”

Section: A Related Workmentioning

confidence: 99%

Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI

Korrai

Lagunas

Bandi

et al. 2020

IEEE Open J. Commun. Soc.

View full text Add to dashboard Cite

Fifth-generation (5G) of wireless networks are expected to accommodate different services with contrasting quality of service (QoS) requirements within a common physical infrastructure in an efficient way. In this paper, we address the radio access network (RAN) slicing problem and focus on the three 5G primary services, namely, enhanced mobile broadband (eMBB), ultra-reliable and low-latency communications (URLLC) and massive machine-type communications (mMTC). In particular, we formulate the joint allocation of power and resource blocks to the heterogeneous users in the downlink targeting the transmit power minimization and by considering mixed numerology-based frame structures. Most importantly, the proposed scheme does not only consider the heterogeneous QoS requirements of each service, but also the queue status of each user during the scheduling of resource blocks. In addition, imperfect Channel State Information (CSI) is considered by including an outage probabilistic constraint into the formulation. The resulting non-convex problem is converted to a more tractable problem by exploiting Big-M formulation, probabilistic to non-probabilistic transformation, binary relaxation and successive convex approximation (SCA). The proposed solution is evaluated for different mixed-numerology resource grids within the context of strict slice-isolation and slice-aware radio resource management schemes via extensive numerical simulations.

show abstract

“…The GN-NSI and its associated S-NSIs can be offered from a single or multiple gNB(s). Some radio processing functions and resources are shared among S-NSIs, whereas some are dedicated to S-NSI [14]. The configuration and allocation of resources and NFs of S-NSIs in a logical cluster of GN-NSI in the NG-RAN is a challenging issue.…”

Section: Sub Network Slicingmentioning

confidence: 99%

How Should Network Slice Instances Be Provided to Multiple Use Cases of a Single Vertical Industry?

Habibi

Han

Yousaf

et al. 2020

IEEE Comm. Stand. Mag.

View full text Add to dashboard Cite

There are a large number of vertical industries implementing multiple use cases, each use case characterized by diverging service, network, and connectivity requirements -such as automobile, manufacturing, power grid, etc. Such heterogeneity cannot be effectively managed and efficiently mapped onto a single type of network slice instance (NSI). Thus the tailored provisioning of an end-to-end network slicing solution to a vertical industry that consists of multiple use cases is a critical issue, which motivates this article, aimed at exploring this never-addressed and challenging research problem by proposing the Use-case Specific Network Slicing and the Sub Network Slicing concepts that enable the provisioning of Use-case Specific NSI (US-NSI) and GeNeric NSI (GN-NSI), respectively. Both approaches tackle the same technical issue of provisioning, management, and orchestration of per-vertical per-use-case NSIs in order to improve resource allocation and enhance network performance. The article also presents the architectural frameworks for managing US-NSI and GN-NSI, which extend the service deployment concept and system architecture of network slicing for vertical customers of fifth generation (5G) mobile networks.

show abstract

Customization and Trade-offs in 5G RAN Slicing

Cited by 21 publications

References 11 publications

A Survey on Resource Allocation in Vehicular Networks

A Survey on Resource Allocation in Vehicular Networks

Joint Power and Resource Block Allocation for Mixed-Numerology-Based 5G Downlink Under Imperfect CSI

How Should Network Slice Instances Be Provided to Multiple Use Cases of a Single Vertical Industry?

Contact Info

Product

Resources

About