LTE uplink scheduling - flow level analysis

D.C. Dimitrova; J.L. van den Berg; G. Heijenk; R. Litjens

doi:10.1007/978-3-642-23795-9_16

LTE uplink scheduling - flow level analysis

D.C. Dimitrova, J.L. van den Berg, G. Heijenk, R. Litjens

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

9 Citations (Scopus)

15 Downloads (Pure)

Abstract

Long Term Evolution (LTE) is a cellular technology foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper we present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. We apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures. The results show that by considering flow-level dynamics we are able to observe performance trends that would otherwise stay hidden if only packet-level analysis is performed.

Original language	English
Title of host publication	Multiple Access Communications
Subtitle of host publication	4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings
Editors	Claudio Sacchi, Boris Bellalta, Alexey Vinel, Christian Schlegel, Fabrizio Granelli, Yan Zhang
Place of Publication	Berlin Heidelberg
Publisher	Springer
Pages	181-192
Number of pages	12
ISBN (Electronic)	978-3-642-23795-9
ISBN (Print)	978-3-642-23795-9
DOIs	https://doi.org/10.1007/978-3-642-23795-9_16
Publication status	Published - Sept 2011
Event	4th International Workshop on Multiple Access Communications, MACOM 2011 - Trento, Italy Duration: 11 Sept 2011 → 13 Sept 2011 Conference number: 4

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	6886
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Workshop on Multiple Access Communications, MACOM 2011
Abbreviated title	MACOM
Country/Territory	Italy
City	Trento
Period	11/09/11 → 13/09/11

Keywords

METIS-277644
EWI-20180
IR-80270

Access to Document

10.1007/978-3-642-23795-9_16

Cite this

Dimitrova, D. C., van den Berg, J. L., Heijenk, G., & Litjens, R. (2011). LTE uplink scheduling - flow level analysis. In C. Sacchi, B. Bellalta, A. Vinel, C. Schlegel, F. Granelli, & Y. Zhang (Eds.), Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings (pp. 181-192). (Lecture Notes in Computer Science; Vol. 6886). Springer. https://doi.org/10.1007/978-3-642-23795-9_16

Dimitrova, D.C. ; van den Berg, J.L. ; Heijenk, G. et al. / LTE uplink scheduling - flow level analysis. Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings. editor / Claudio Sacchi ; Boris Bellalta ; Alexey Vinel ; Christian Schlegel ; Fabrizio Granelli ; Yan Zhang. Berlin Heidelberg : Springer, 2011. pp. 181-192 (Lecture Notes in Computer Science).

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title = "LTE uplink scheduling - flow level analysis",

abstract = "Long Term Evolution (LTE) is a cellular technology foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper we present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. We apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures. The results show that by considering flow-level dynamics we are able to observe performance trends that would otherwise stay hidden if only packet-level analysis is performed.",

keywords = "METIS-277644, EWI-20180, IR-80270",

author = "D.C. Dimitrova and {van den Berg}, J.L. and G. Heijenk and R. Litjens",

year = "2011",

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doi = "10.1007/978-3-642-23795-9_16",

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isbn = "978-3-642-23795-9",

series = "Lecture Notes in Computer Science",

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editor = "Claudio Sacchi and Boris Bellalta and Alexey Vinel and Christian Schlegel and Fabrizio Granelli and Yan Zhang",

booktitle = "Multiple Access Communications",

address = "Germany",

note = "4th International Workshop on Multiple Access Communications, MACOM 2011, MACOM ; Conference date: 11-09-2011 Through 13-09-2011",

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Dimitrova, DC, van den Berg, JL , Heijenk, G & Litjens, R 2011, LTE uplink scheduling - flow level analysis. in C Sacchi, B Bellalta, A Vinel, C Schlegel, F Granelli & Y Zhang (eds), Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings. Lecture Notes in Computer Science, vol. 6886, Springer, Berlin Heidelberg, pp. 181-192, 4th International Workshop on Multiple Access Communications, MACOM 2011, Trento, Italy, 11/09/11. https://doi.org/10.1007/978-3-642-23795-9_16

LTE uplink scheduling - flow level analysis. / Dimitrova, D.C.; van den Berg, J.L.; Heijenk, G. et al.
Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings. ed. / Claudio Sacchi; Boris Bellalta; Alexey Vinel; Christian Schlegel; Fabrizio Granelli; Yan Zhang. Berlin Heidelberg: Springer, 2011. p. 181-192 (Lecture Notes in Computer Science; Vol. 6886).

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

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T1 - LTE uplink scheduling - flow level analysis

AU - Dimitrova, D.C.

AU - van den Berg, J.L.

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AU - Litjens, R.

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PY - 2011/9

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N2 - Long Term Evolution (LTE) is a cellular technology foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper we present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. We apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures. The results show that by considering flow-level dynamics we are able to observe performance trends that would otherwise stay hidden if only packet-level analysis is performed.

AB - Long Term Evolution (LTE) is a cellular technology foreseen to extend the capacity and improve the performance of current 3G cellular networks. A key mechanism in the LTE traffic handling is the packet scheduler, which is in charge of allocating resources to active flows in both the frequency and time dimension. In this paper we present a performance comparison of three distinct scheduling schemes for LTE uplink with main focus on the impact of flow-level dynamics resulting from the random user behaviour. We apply a combined analytical/simulation approach which enables fast evaluation of flow-level performance measures. The results show that by considering flow-level dynamics we are able to observe performance trends that would otherwise stay hidden if only packet-level analysis is performed.

KW - METIS-277644

KW - EWI-20180

KW - IR-80270

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SN - 978-3-642-23795-9

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A2 - Vinel, Alexey

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A2 - Granelli, Fabrizio

A2 - Zhang, Yan

PB - Springer

CY - Berlin Heidelberg

T2 - 4th International Workshop on Multiple Access Communications, MACOM 2011

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Dimitrova DC, van den Berg JL , Heijenk G, Litjens R. LTE uplink scheduling - flow level analysis. In Sacchi C, Bellalta B, Vinel A, Schlegel C, Granelli F, Zhang Y, editors, Multiple Access Communications: 4th International Workshop, MACOM 2011, Trento, Italy, September 12-13, 2011. Proceedings. Berlin Heidelberg: Springer. 2011. p. 181-192. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-23795-9_16

LTE uplink scheduling - flow level analysis

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