Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems

Ekaterina Markova; Dmitri Moltchanov; Anna Sinitsyna; Daria Ivanova; Valeria Filipova; Irina Gudkova; Konstantin Samouylov

doi:10.1007/978-3-030-01168-0_20

Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems

Ekaterina Markova^*
, Dmitri Moltchanov
, Anna Sinitsyna
, Daria Ivanova
, Valeria Filipova
, Irina Gudkova
, Konstantin Samouylov

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

Abstract

The scarcity of resources available for commercial wireless access systems below 6 GHz coupled with constantly increasing traffic demands from the mobile users force network operators to seek additional spectrum. In addition to moving upper in the frequency band and occupying millimeter wave band with 3GPP New Radio access technology the set of solutions also includes implementing commercial LTE systems in unlicensed bands including 2.4 GHz and 5.1 GHz that are currently occupied by Wi-Fi. This technology, known as License Assisted Access (LAA), has recently received considerable attention within the 3GPP community. One of the solutions to provide fair division of air interface resources between competing technologies is to use schedule-based access, where LAA access point is in full control of shared medium and may dynamically schedule allocations to LTE and Wi-Fi traffic. The fine tuning of LAA technology requires careful understanding of various trade-offs and dependencies involved in Wi-Fi and LTE coexistence. In this paper, using the tools of the queuing theory we formulate and solve several analytical models targeting different implementation strategies of schedule-based LAA systems and traffic types of end users. We derive relevant performance characteristics including the session drop probabilities, probability that the session accepted to the system is drop before its service completion and average resource utilization of the system.

Original language	English
Title of host publication	Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings
Publisher	Springer-Verlag
Pages	210-223
Number of pages	14
ISBN (Print)	9783030011673
DOIs	https://doi.org/10.1007/978-3-030-01168-0_20
Publication status	Published - 2018
Publication type	A4 Article in conference proceedings
Event	International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems Conference on Internet of Things and Smart Spaces - Duration: 27 Aug 2018 → 29 Aug 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11118 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems Conference on Internet of Things and Smart Spaces
Period	27/08/18 → 29/08/18

Funding

Acknowledgement. The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by RFBR according to the research projects No. 18-37-00231 and No. 16-07-00766.

Keywords

4G
Analytical models
LAA
License-assisted access
LTE

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-030-01168-0_20

Cite this

Markova, E., Moltchanov, D., Sinitsyna, A., Ivanova, D., Filipova, V., Gudkova, I., & Samouylov, K. (2018). Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings (pp. 210-223). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11118 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-030-01168-0_20

Markova, Ekaterina ; Moltchanov, Dmitri ; Sinitsyna, Anna et al. / Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems. Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings. Springer-Verlag, 2018. pp. 210-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems",

abstract = "The scarcity of resources available for commercial wireless access systems below 6 GHz coupled with constantly increasing traffic demands from the mobile users force network operators to seek additional spectrum. In addition to moving upper in the frequency band and occupying millimeter wave band with 3GPP New Radio access technology the set of solutions also includes implementing commercial LTE systems in unlicensed bands including 2.4 GHz and 5.1 GHz that are currently occupied by Wi-Fi. This technology, known as License Assisted Access (LAA), has recently received considerable attention within the 3GPP community. One of the solutions to provide fair division of air interface resources between competing technologies is to use schedule-based access, where LAA access point is in full control of shared medium and may dynamically schedule allocations to LTE and Wi-Fi traffic. The fine tuning of LAA technology requires careful understanding of various trade-offs and dependencies involved in Wi-Fi and LTE coexistence. In this paper, using the tools of the queuing theory we formulate and solve several analytical models targeting different implementation strategies of schedule-based LAA systems and traffic types of end users. We derive relevant performance characteristics including the session drop probabilities, probability that the session accepted to the system is drop before its service completion and average resource utilization of the system.",

keywords = "4G, Analytical models, LAA, License-assisted access, LTE",

author = "Ekaterina Markova and Dmitri Moltchanov and Anna Sinitsyna and Daria Ivanova and Valeria Filipova and Irina Gudkova and Konstantin Samouylov",

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Markova, E, Moltchanov, D, Sinitsyna, A, Ivanova, D, Filipova, V, Gudkova, I & Samouylov, K 2018, Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems. in Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11118 LNCS, Springer-Verlag, pp. 210-223, International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems Conference on Internet of Things and Smart Spaces, 27/08/18. https://doi.org/10.1007/978-3-030-01168-0_20

Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems. / Markova, Ekaterina; Moltchanov, Dmitri; Sinitsyna, Anna et al.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings. Springer-Verlag, 2018. p. 210-223 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11118 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems

AU - Markova, Ekaterina

AU - Moltchanov, Dmitri

AU - Sinitsyna, Anna

AU - Ivanova, Daria

AU - Filipova, Valeria

AU - Gudkova, Irina

AU - Samouylov, Konstantin

PY - 2018

Y1 - 2018

N2 - The scarcity of resources available for commercial wireless access systems below 6 GHz coupled with constantly increasing traffic demands from the mobile users force network operators to seek additional spectrum. In addition to moving upper in the frequency band and occupying millimeter wave band with 3GPP New Radio access technology the set of solutions also includes implementing commercial LTE systems in unlicensed bands including 2.4 GHz and 5.1 GHz that are currently occupied by Wi-Fi. This technology, known as License Assisted Access (LAA), has recently received considerable attention within the 3GPP community. One of the solutions to provide fair division of air interface resources between competing technologies is to use schedule-based access, where LAA access point is in full control of shared medium and may dynamically schedule allocations to LTE and Wi-Fi traffic. The fine tuning of LAA technology requires careful understanding of various trade-offs and dependencies involved in Wi-Fi and LTE coexistence. In this paper, using the tools of the queuing theory we formulate and solve several analytical models targeting different implementation strategies of schedule-based LAA systems and traffic types of end users. We derive relevant performance characteristics including the session drop probabilities, probability that the session accepted to the system is drop before its service completion and average resource utilization of the system.

AB - The scarcity of resources available for commercial wireless access systems below 6 GHz coupled with constantly increasing traffic demands from the mobile users force network operators to seek additional spectrum. In addition to moving upper in the frequency band and occupying millimeter wave band with 3GPP New Radio access technology the set of solutions also includes implementing commercial LTE systems in unlicensed bands including 2.4 GHz and 5.1 GHz that are currently occupied by Wi-Fi. This technology, known as License Assisted Access (LAA), has recently received considerable attention within the 3GPP community. One of the solutions to provide fair division of air interface resources between competing technologies is to use schedule-based access, where LAA access point is in full control of shared medium and may dynamically schedule allocations to LTE and Wi-Fi traffic. The fine tuning of LAA technology requires careful understanding of various trade-offs and dependencies involved in Wi-Fi and LTE coexistence. In this paper, using the tools of the queuing theory we formulate and solve several analytical models targeting different implementation strategies of schedule-based LAA systems and traffic types of end users. We derive relevant performance characteristics including the session drop probabilities, probability that the session accepted to the system is drop before its service completion and average resource utilization of the system.

KW - 4G

KW - Analytical models

KW - LAA

KW - License-assisted access

KW - LTE

U2 - 10.1007/978-3-030-01168-0_20

DO - 10.1007/978-3-030-01168-0_20

M3 - Conference contribution

AN - SCOPUS:85054865293

SN - 9783030011673

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 210

EP - 223

BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings

PB - Springer-Verlag

T2 - International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems Conference on Internet of Things and Smart Spaces

Y2 - 27 August 2018 through 29 August 2018

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Markova E, Moltchanov D, Sinitsyna A, Ivanova D, Filipova V, Gudkova I et al. Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems. In Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018, Proceedings. Springer-Verlag. 2018. p. 210-223. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-01168-0_20

Analytical Models for Schedule-Based License Assisted Access (LAA) LTE Systems

Abstract

Publication series

Conference

Funding

Keywords

Publication forum classification

ASJC Scopus subject areas

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