Optimal Traffic Allocation for Multi-Stream Aggregation in Heterogeneous Networks

Andrijana Popovska Avramova; Villy Bæk Iversen

doi:10.1109/GLOCOMW.2015.7414029

Optimal Traffic Allocation for Multi-Stream Aggregation in Heterogeneous Networks

Andrijana Popovska Avramova, Villy Bæk Iversen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper investigates an optimal traffic rate allocation method for multi-stream aggregation over heterogeneous networks that deals with effective integration of two or more heterogeneous links for improved data throughput and enhanced quality of experience. The heterogeneity and the dynamic nature of radio access networks are considered as important factors for performance improvement by multi-stream aggregation. Therefore, in our model, the networks are represented by different queueing systems in order to indicate networks with opposite quality of service provisioning, capacity and delay variations. Furthermore, services with different traffic characteristics in terms of quality of service requirements are considered. The simulation results show the advantages of our scheme with respect to efficient increase in data rate and delay performance compared to traditional schemes.

Original language	English
Title of host publication	Proceedings of IEEE GLOBECOM'15
Number of pages	6
Publisher	IEEE
Publication date	2015
DOIs	https://doi.org/10.1109/GLOCOMW.2015.7414029
Publication status	Published - 2015
Event	2015 IEEE Global Communications Conference - San Diego, United States Duration: 6 Dec 2015 → 10 Dec 2015 https://ieeexplore.ieee.org/xpl/conhome/7414714/proceeding

Conference

Conference	2015 IEEE Global Communications Conference
Country/Territory	United States
City	San Diego
Period	06/12/2015 → 10/12/2015
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7414714/proceeding

Keywords

Multiple stream aggregation
Traffic allocation
Delay
Heterogeneous networks
Queueing models

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10.1109/GLOCOMW.2015.7414029

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@inproceedings{a3fc5982b045420ea7c172e5720f3bbf,

title = "Optimal Traffic Allocation for Multi-Stream Aggregation in Heterogeneous Networks",

abstract = "This paper investigates an optimal traffic rate allocation method for multi-stream aggregation over heterogeneous networks that deals with effective integration of two or more heterogeneous links for improved data throughput and enhanced quality of experience. The heterogeneity and the dynamic nature of radio access networks are considered as important factors for performance improvement by multi-stream aggregation. Therefore, in our model, the networks are represented by different queueing systems in order to indicate networks with opposite quality of service provisioning, capacity and delay variations. Furthermore, services with different traffic characteristics in terms of quality of service requirements are considered. The simulation results show the advantages of our scheme with respect to efficient increase in data rate and delay performance compared to traditional schemes.",

keywords = "Multiple stream aggregation, Traffic allocation, Delay, Heterogeneous networks, Queueing models",

author = "{Popovska Avramova}, Andrijana and Iversen, {Villy B{\ae}k}",

year = "2015",

doi = "10.1109/GLOCOMW.2015.7414029",

language = "English",

booktitle = "Proceedings of IEEE GLOBECOM'15",

publisher = "IEEE",

address = "United States",

note = "2015 IEEE Global Communications Conference, GLOBECOM 2015 ; Conference date: 06-12-2015 Through 10-12-2015",

url = "https://ieeexplore.ieee.org/xpl/conhome/7414714/proceeding",

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TY - GEN

T1 - Optimal Traffic Allocation for Multi-Stream Aggregation in Heterogeneous Networks

AU - Popovska Avramova, Andrijana

AU - Iversen, Villy Bæk

PY - 2015

Y1 - 2015

N2 - This paper investigates an optimal traffic rate allocation method for multi-stream aggregation over heterogeneous networks that deals with effective integration of two or more heterogeneous links for improved data throughput and enhanced quality of experience. The heterogeneity and the dynamic nature of radio access networks are considered as important factors for performance improvement by multi-stream aggregation. Therefore, in our model, the networks are represented by different queueing systems in order to indicate networks with opposite quality of service provisioning, capacity and delay variations. Furthermore, services with different traffic characteristics in terms of quality of service requirements are considered. The simulation results show the advantages of our scheme with respect to efficient increase in data rate and delay performance compared to traditional schemes.

AB - This paper investigates an optimal traffic rate allocation method for multi-stream aggregation over heterogeneous networks that deals with effective integration of two or more heterogeneous links for improved data throughput and enhanced quality of experience. The heterogeneity and the dynamic nature of radio access networks are considered as important factors for performance improvement by multi-stream aggregation. Therefore, in our model, the networks are represented by different queueing systems in order to indicate networks with opposite quality of service provisioning, capacity and delay variations. Furthermore, services with different traffic characteristics in terms of quality of service requirements are considered. The simulation results show the advantages of our scheme with respect to efficient increase in data rate and delay performance compared to traditional schemes.

KW - Multiple stream aggregation

KW - Traffic allocation

KW - Delay

KW - Heterogeneous networks

KW - Queueing models

U2 - 10.1109/GLOCOMW.2015.7414029

DO - 10.1109/GLOCOMW.2015.7414029

M3 - Article in proceedings

BT - Proceedings of IEEE GLOBECOM'15

PB - IEEE

T2 - 2015 IEEE Global Communications Conference

Y2 - 6 December 2015 through 10 December 2015

ER -

Optimal Traffic Allocation for Multi-Stream Aggregation in Heterogeneous Networks

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Keywords

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