Satisfying Network Slicing Constraints via 5G MAC Scheduling

Mandelli, Silvio; Andrews, Matthew; Borst, Sem; Klein, Siegfried

doi:10.1109/infocom.2019.8737604

Cited by 45 publications

(18 citation statements)

References 27 publications

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“…These are given by the fact that active users obtain in average the same amount of resources, but each user obtains more resources when it can achieve higher spectral efficiency than its average. For more details on PF, or similar scheduling metrics with Quality of Service awareness, the reader can resort to [15].…”

Section: Resource Schedulingmentioning

confidence: 99%

Reducing Interference via Link Adaptation in Delay-Critical Wireless Networks

Mandelli

Lieto

Razenberg

et al. 2021

Preprint

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One of the current 6G wireless networks research's trends is to investigate short distance and dense scenarios, where users are locally connected in sub-networks. Such use case is critical to support the advances of industrial internet of things or Industry 4.0, e.g. connecting an entire group of sensors and actuators of a robot. Therefore, schemes that can properly manage the interference must be deployed in practical systems to allow the promised performance advances of 6G . Targeting these high density scenarios, we describe the Power Optimization for Low Interference and Throughput Enhancement (POLITE) paradigm for link adaptation and power allocation, which leverages available radio resources to stabilize and reduce the interference. The baseline link adaptation schemes are compared with POLITE in their performance in a 3GPP -calibrated system level simulator for industrial scenarios. As services in industrial environments require high reliability under constrained delays, we propose different delay-aware formulations in the POLITE design. In this work we provide solutions both for relaxed delay requirements and for latency critical traffic, whose delay must be minimized. In particular, in the latter case, we propose also modifications of user selection and resource allocation procedures to further improve the reliability and latency. Simulation results prove the benefits of POLITE in terms of increased throughput, fulfillment of relaxed and delay-critical requirements, with an overall reduced transmit power compared to the current baseline link adaptation schemes.

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Section: Resource Schedulingmentioning

confidence: 99%

Reducing Interference via Link Adaptation in Delay-Critical Wireless Networks

Mandelli

Lieto

Razenberg

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Motivated by the ever increasing interests from both NOs and standardization entities [19][20][21], network slicing and multi-access edge computing technologies have recently become "all the rage" in the wireless research community [15,23,24,39,40,45,57]. Lately, we have seen a deluge of algorithms to efficiently slice portions of the network and instantiate service-specific slices.…”

Section: Related Workmentioning

confidence: 99%

Sl-edge

D’Oro

Bonati

Restuccia

et al. 2020

Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Netw

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Network slicing of multi-access edge computing (MEC) resources is expected to be a pivotal technology to the success of 5G networks and beyond. The key challenge that sets MEC slicing apart from traditional resource allocation problems is that edge nodes depend on tightly-intertwined and strictly-constrained networking, computation and storage resources. Therefore, instantiating MEC slices without incurring in resource over-provisioning is hardly addressable with existing slicing algorithms. The main innovation of this paper is SlEDGE , a unified MEC slicing framework that allows network operators to instantiate heterogeneous slice services (e.g., video streaming, caching, 5G network access) on edge devices. We first describe the architecture and operations of SlEDGE , and then show that the problem of optimally instantiating joint network-MEC slices is NP-hard. Thus, we propose near-optimal algorithms that leverage key similarities among edge nodes and resource virtualization to instantiate heterogeneous slices 7.5x faster and within 25% of the optimum. We first assess the performance of our algorithms through extensive numerical analysis, and show that SlEDGE instantiates slices 6x more efficiently then state-ofthe-art MEC slicing algorithms. Furthermore, experimental results on a 24-radio testbed with 9 smartphones demonstrate that SlEDGE provides simultaneously highly-efficient slicing of joint LTE connectivity, video streaming over WiFi, and ffmpeg video transcoding.

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“…Motivated by the ever increasing interests from both NOs and standardization entities [18][19][20], network slicing and multi-access edge computing technologies have recently become "all the rage" in the wireless research community [14,22,23,38,39,44,56]. Lately, we have seen a deluge of algorithms to efficiently slice portions of the network and instantiate service-specific slices.…”

Section: Related Workmentioning

confidence: 99%

DeepRadioID

Restuccia

D’Oro

Al-Shawabka

et al. 2019

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing

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Network slicing of multi-access edge computing (MEC) resources is expected to be a pivotal technology to the success of 5G networks and beyond. The key challenge that sets MEC slicing apart from traditional resource allocation problems is that edge nodes depend on tightly-intertwined and strictly-constrained networking, computation and storage resources. Therefore, instantiating MEC slices without incurring in resource over-provisioning is hardly addressable with existing slicing algorithms. The main innovation of this paper is Sl-EDGE, a unified MEC slicing framework that allows network operators to instantiate heterogeneous slice services (e.g., video streaming, caching, 5G network access) on edge devices. We first describe the architecture and operations of Sl-EDGE, and then show that the problem of optimally instantiating joint network-MEC slices is NP-hard. Thus, we propose near-optimal algorithms that leverage key similarities among edge nodes and resource virtualization to instantiate heterogeneous slices 7.5x faster and within 0.25 of the optimum. We first assess the performance of our algorithms through extensive numerical analysis, and show that Sl-EDGE instantiates slices 6x more efficiently then state-ofthe-art MEC slicing algorithms. Furthermore, experimental results on a 24-radio testbed with 9 smartphones demonstrate that Sl-EDGE provides at once highly-efficient slicing of joint LTE connectivity, video streaming over WiFi, and ffmpeg video transcoding.

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Satisfying Network Slicing Constraints via 5G MAC Scheduling

Cited by 45 publications

References 27 publications

Reducing Interference via Link Adaptation in Delay-Critical Wireless Networks

Reducing Interference via Link Adaptation in Delay-Critical Wireless Networks

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DeepRadioID

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