Adaptive Quantile Scheduling of Multi-RAT Communications for the Internet of Things

Vojtech Hauser, Jimmy Jessen Nielsen

Research output: Contribution to journalConference article in JournalResearchpeer-review

Abstract

To benefit from the various features endemic to individual Radio Access Technologies (RATs) available on the market, the emerging massively deployed networks are set to utilise a number of distinct RATs. Furthermore, the use of multiple RATs presents itself as an opportunity to optimise the Quality of Service (QoS) whilst avoiding the necessity of introducing any engineering constraints into the lowest communication layers. While operating in a spectrum-, power-, or otherwise constrained scenario, the efficiency of their utilisation is of crucial importance. In this paper, we propose an adaptive approach to scheduling that exploits the interface diversity in heterogeneous wireless communication systems. The adaptive quantile scheduling scheme leverages statistical knowledge of the per-RAT delay distributions to focus the resources on dispatching the packets likely to be delivered within the application-specified QoS (delay and efficiency) requirements. This adaptive traffic filtering enables the system to actively statistically lower-bound operational efficiency and thereby, in congested systems, to increase the overall delivery ratio by exploiting the regained resources. Presented simulation results confirm these statements and suggest a trade-off between high certainty of delivering each packet - implying high efficiency - and controlled "risk-taking" - achieving higher delivery ratios.
Original languageEnglish
JournalGLOBECOM - conference record / IEEE Global Telecommunications Conference
Number of pages6
ISSN0895-1195
Publication statusSubmitted - 1 May 2019

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Scheduling
Communication
Quality of service
Power spectrum
Telecommunication traffic
Communication systems
Internet of things

Cite this

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title = "Adaptive Quantile Scheduling of Multi-RAT Communications for the Internet of Things",
abstract = "To benefit from the various features endemic to individual Radio Access Technologies (RATs) available on the market, the emerging massively deployed networks are set to utilise a number of distinct RATs. Furthermore, the use of multiple RATs presents itself as an opportunity to optimise the Quality of Service (QoS) whilst avoiding the necessity of introducing any engineering constraints into the lowest communication layers. While operating in a spectrum-, power-, or otherwise constrained scenario, the efficiency of their utilisation is of crucial importance. In this paper, we propose an adaptive approach to scheduling that exploits the interface diversity in heterogeneous wireless communication systems. The adaptive quantile scheduling scheme leverages statistical knowledge of the per-RAT delay distributions to focus the resources on dispatching the packets likely to be delivered within the application-specified QoS (delay and efficiency) requirements. This adaptive traffic filtering enables the system to actively statistically lower-bound operational efficiency and thereby, in congested systems, to increase the overall delivery ratio by exploiting the regained resources. Presented simulation results confirm these statements and suggest a trade-off between high certainty of delivering each packet - implying high efficiency - and controlled {"}risk-taking{"} - achieving higher delivery ratios.",
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Adaptive Quantile Scheduling of Multi-RAT Communications for the Internet of Things. / Hauser, Vojtech; Nielsen, Jimmy Jessen.

In: GLOBECOM - conference record / IEEE Global Telecommunications Conference, 01.05.2019.

Research output: Contribution to journalConference article in JournalResearchpeer-review

TY - GEN

T1 - Adaptive Quantile Scheduling of Multi-RAT Communications for the Internet of Things

AU - Hauser, Vojtech

AU - Nielsen, Jimmy Jessen

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