research-article

An optimized approach to video traffic splitting in heterogeneous wireless networks with energy and QoE considerations

Authors:

Sanaa SharafeddineAuthors Info & Claims

Journal of Network and Computer Applications, Volume 83, Issue C

Pages 72 - 88

https://doi.org/10.1016/j.jnca.2017.01.008

Published: 01 April 2017 Publication History

Abstract

Due to the exploding traffic demands with the ubiquitous anticipated spread of 5G and Internet of Things, research has been active to devise mechanisms for meeting these demands while maintaining high quality user experience. In support of this direction, 3GPP is working towards cellular/WiFi interworking in heterogeneous networks to boost throughput, capacity, coverage and quality of experience. However, the continuous use of multiple wireless interfaces will increase the system performance but at the expense of more energy. As a result, there is a need for a dynamic use of multiple interfaces to provide a balance between energy consumption, throughput and user experience. Previous work in this field has considered improving throughput and reducing energy consumption, but did not consider simultaneously quality of experience as perceived by the end user. In this work, we aim at devising real-time traffic splitting strategies between WiFi and cellular networks to maximize user experience, reduce delay, and balance the needed energy consumption. We develop solutions for cellular/WiFi network resource management using Lyapunov drift-plus-penalty optimization approach. We evaluate the proposed approach using parameters determined via experimental measurements from mobile devices, and using our own test bed implementation to provide an evaluation under realistic operation conditions. Results show the performance effectiveness of the proposed traffic splitting approach in terms of throughput, delay, queue stability, energy consumption and quality of user experience by monitoring the frequency and lengths of video stalls.

References

[1]

3GPP TR 22.934 version 11.0.0 Release 11, Feasibility Study on 3GPP System to Wireless Local Area Network (WLAN) Interworking.

[2]

3GPP TR 36.839 version 11.0.0 Release 11, Evolved Universal Terrestrial Radio Access (E-UTRA); Mobility enhancements in heterogeneous networks.

[3]

3GPP TR 36.932 version 12.1.0 Release 12, LTE; Scenarios and requirements for small cell enhancements for E-UTRA and E-UTRAN.

[4]

3GPP TS 22.278 version 8.5.0 Release 8, Service requirements for the Evolved Packet System (EPS).

[5]

Abbas, N., Saade, J.J. A fuzzy logic based approach for network selection in WLAN/3G heterogeneous network. In: Proceedings of the IEEE Consumer Communications and Networking Conference.

[6]

Abbas, N., Taleb, S., Hajj, H., Dawy, Z. A learning-based approach for network selection in WLAN/3G heterogeneous network. In: Proceedings of the Third International Conference on Communications and Information Technology.

[7]

Abbas, N., Dawy, Z., Hajj, H., Sharafeddine, S. Energy-throughput tradeoffs in cellular/WiFi heterogeneous networks with traffic splitting. In: Proceedings of the IEEE Wireless Communications and Networking Conference.

[8]

Andrews, J.G., Buzzi, S., Choi, W., Hanly, S., Lozano, A., Soong, A.C.K., Zhang, J.C. What will 5G be?, IEEE Journal on Selected Areas in Communications, Special Issue on 5G Communication Systems arXiv:1405.2957v1.

[9]

Bethanabhotla, D., Caire, G., Neely, M.J. Adaptive video streaming for wireless networks with multiple users and helpers. arXiv preprint arXiv:1304.8083v2.

[10]

Cai, S., Duan, L., Wang, J., Zhou, S., Zhang, R. Incentive mechanism design for delayed WiFi offloading. In: Proceedings of the IEEE International Conference on Communications.

[11]

Cisco, Cisco Visual Networking Index: Forecast and Methodology, 20152020, White Paper, Cisco.

[12]

Dimatteo, S., Hui, P., Han, B., Li, V.O.K. Cellular traffic offloading through WiFi networks. In: Proceedings of the 8th IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS).

Digital Library

[13]

R. Dinga, C. Hava Munteanb, G.-M. Munteana, Energy-efficient device-differentiated cooperative adaptive multimedia delivery solution in wireless networks, J. Netw. Comput. Appl., 58 (2015) 194-207.

Digital Library

[14]

M. El Helou, M. Ibrahim, S. Lahoud, K. Khawam, D. Mezher, B. Cousin, A network-assisted approach for RAT selection in heterogeneous cellular networks, IEEE J. Sel. Areas Commun., 33 (2015) 1055-1067.

[15]

European Telecommunications Standards Institute, ETSI TR 102 714 V1.1.1, Speech and Multimedia Transmission Quality (STQ); Multimedia Quality Measurement; End-to-End Quality Measurement Framework.

[16]

X. Gelabert, O. Sallent, J. Perez-Romero, R. Agusti, Performance evaluation of radio access selection strategies in constrained multi-access/multi-service wireless networks, Comput. Netw., 55 (2011) 173-192.

Digital Library

[17]

E. Gustafsson, A. Jonsson, Always best connected, IEEE Wirel. Commun., 10 (2003) 49-55.

Digital Library

[18]

N. Hasan, W. Ejaz, N. Ejaz, H.S. Kim, A. Anpalagan, M. Jo, Network selection and channel allocation for spectrum sharing in 5G heterogeneous networks, IEEE Access, PP (2016) 1-11.

[19]

H. Ju, B. Liang, J. Li, Y. Long, X. Yang, Adaptive cross-network cross-layer design in heterogeneous wireless networks, IEEE Trans. Wirel. Commun., 14 (2015) 655-669.

[20]

A. Khan, L. Sun, E. Jammeh, E. Ifeachor, Quality of experience-driven adaptation scheme for video applications over wireless networks, IET Commun. Spec. Issue Video Commun. Wirel. Netw., 4 (2010) 1337-1347.

[21]

K. Kilkki, Quality of experience in communications ecosystem, J. Univers. Comput. Sci., 14 (2008) 615-624.

[22]

J.-O. Kim, T. Ueda, S. Obana, MAC-level measurement based traffic distribution over IEEE 802.11 multi-radio networks, IEEE Trans. Consum. Electron., 54 (2008) 1185-1191.

Digital Library

[23]

J.-O. Kim, Feedback-based traffic splitting for wireless terminals with multi-radio devices, IEEE Trans. Consum. Electron., 56 (2010) 476-482.

Digital Library

[24]

W.-S. Lai, T.-H. Chang, T.-S. Lee, Joint power and admission control for spectral and energy efficiency maximization in heterogeneous OFDMA networks, IEEE Trans. Wirel. Commun., PP (2016) 1-16.

[25]

Li, J., Zheng, J., Liu, Q., Yang, X. Delay performance optimization of multiaccess for uplink in heterogeneous networks. In: Proceedings of the 79th IEEE Vehicular Technology Conference.

[26]

Lian, H., Yan, X., Weng, L., Feng, Z., Zhang, Q., Zhang, P. Efficient traffic allocation scheme for multi-flow distribution in heterogeneous networks. In: Proceedings of IEEE Globecom Workshops.

[27]

X. Liu, X. Fang, X. Chen, X. Peng, A bidding model and cooperative game-based vertical handoff decision algorithm, J. Netw. Comput. Appl., 34 (2011) 1263-1271.

Digital Library

[28]

J. Luo, R. Mukerjee, M. Dillinger, E. Mohyeldin, E. Schulz, Investigation of radio resource scheduling in WLANs coupled with 3G cellular network, IEEE Commun. Mag., 41 (2003) 108-115.

Digital Library

[29]

D. Ma, M. Ma, Network selection and resource allocation for multicast in HetNets, J. Netw. Comput. Appl., 43 (2014) 17-26.

[30]

Mok, R.K.P., Chan, E.W.W., Chang, R.K.C. Measuring the quality of experience of HTTP video streaming. In: Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management.

[31]

P. Naghavi, S. Hamed Rastegar, V. Shah-Mansouri, H. Kebriaei, Learning RAT selection game in 5G heterogeneous networks, IEEE Wirel. Commun. Lett., 5 (2016) 52-55.

[32]

M.J. Neely, Stochastic Network Optimization with Application to Communication and Queueing Systems, Morgan & Claypool Publishers series,SYNTHESIS LECTURES ON COMMUNICATION NETWORKS, USA, 2010.

Digital Library

[33]

M.H. Pinson, S. Wolf, A new standardized method for objectively measuring video quality, IEEE Trans. Broadcast., 50 (2004) 312-322.

[34]

Ra, M.-R., Paek, J., Sharma, A.B., Govindan, R., Krieger, M.H., Neely, M.J. Energy-delay tradeoffs in smartphone applications. In: Proceedings of the Eight International Conference on Mobile Systems, Applications, and Services.

Digital Library

[35]

{ITU-T J.340} Recommendation ITU-T J.340 (2010). Reference Algorithm for Computing Peak Signal to Noise Ratio of a Processed Video Sequence with Compensation for Constant Spatial Shifts, Constant Temporal Shift, and Constant Luminance Gain and Offset.

[36]

{ITU-T P.10/G.100} Recommendation ITU-T P.10/G.100 (2016). Amendment 1: New Appendix I - Definition of Quality of Experience (QoE).

[37]

{ITU-T P.1201} Recommendation ITU-T P.1201 (2013). Parametric Non-Intrusive Assessment of Audiovisual Media Streaming Quality Amendment 2: New Appendix III Use of ITU-T P.1201 for Non-Adaptive, Progressive Download Type Media Streaming.

[38]

{ITU-T P.1202} Recommendation ITU-T P.1202 (2012). Parametric Non-Intrusive Assessment of Audiovisual Media Streaming Quality.

[39]

Rjaibi, N., Ben Arfa Rabai, L., Limam, M. Modeling the prediction of students satisfaction in face to face learning: an empirical investigation. In: Proceedings of the International Conference on Education and e-Learning Innovations.

[40]

S. Singh, J.G. Andrews, Joint resource partitioning and offloading in heterogeneous cellular networks, IEEE Trans. Wirel. Commun., 13 (2014) 888-901.

[41]

Song, Y., Han, Y., Choi, Y. Radio resource management based on qoe-aware model for uplink multi-radio access in heterogeneous networks. In: Proceedings of the 79th IEEE Vehicular Technology Conference.

[42]

Stadler, J., Pospischil, G. Simultaneous usage of WLAN and UTRAN for improved multimedia and data applications. In: Proceedings of the 11th International Telecommunications Network Strategy and Planning Symposium.

[43]

Szilgyi, P., Vulkn, C. Network side lightweight and scalable YouTube QoE estimation. In: Proceedings of the IEEE International Conference on Communications.

[44]

R. Trestian, Member, O. Ormond, G.-M. Muntean, Energy-quality-cost tradeoff in a multimedia-based heterogeneous wireless network environment, IEEE Trans. Broadcast., 59 (2013) 340-357.

[45]

Tsao, S.-L., Wang, Ch.-W., Lin, Y.-C., Cheng, R.-G. A dynamic load-balancing scheme for heterogeneous wireless networks. In: Proceedings of the IEEE Wireless Communications and Networking Conference.

[46]

Z. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity, IEEE Trans. Image Process., 13 (2004) 600-612.

Digital Library

[47]

Yang, R., Chang, Y., Sun, J., Yang, D. Traffic split scheme based on common radio resource management in an integrated LTE and HSDPA networks. In: Proceedings of Vehicular Technology Conference.

[48]

S.-N. Yang, Sh.-W. Ho, Y.-B. Lin, C.-H. Gan, A multi-RAT bandwidth aggregation mechanism with software-defined networking, J. Netw. Comput. Appl., 61 (2016) 189-198.

Digital Library

Cited By

Sahu MRachuri SAnsari AKherani A(2022)Traffic splitting for delay jitter control in multi-access systemsTelecommunications Systems10.1007/s11235-022-00921-280:4(513-527)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s11235-022-00921-2
Anbalagan SKumar DJ MRaja GEjaz WBashir A(2020)SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networksFuture Generation Computer Systems10.1016/j.future.2017.12.013107:C(898-908)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1016/j.future.2017.12.013
Sharafeddine SJahed KFawaz M(2017)Optimized device centric aggregation mechanisms for mobile devices with multiple wireless interfacesComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2017.08.026129:P1(1-16)Online publication date: 24-Dec-2017
https://dl.acm.org/doi/10.1016/j.comnet.2017.08.026

Index Terms

An optimized approach to video traffic splitting in heterogeneous wireless networks with energy and QoE considerations

Index terms have been assigned to the content through auto-classification.

Recommendations

Vertical handover decision based on quality of experience in heterogeneous wireless networks
EATIS '12: Proceedings of the 6th Euro American Conference on Telematics and Information Systems

Currently, users of 4G networks, based on IP protocol, may take advantage of several opportunities for wireless connectivity in a heterogeneous scenario consisting of a range of access technologies. However, to make mobility and service perception ...
A QoE handover architecture for converged heterogeneous wireless networks

The convergence of real-time multimedia applications, the increasing coverage of heterogeneous wireless networks and the ever-growing popularity of mobile devices are leading to an era of mobile human-centric multimedia services. In this scenario, ...
Mobile IPv6-based efficient vertical handoff approach for heterogeneous wireless networks: Research Articles
Mobile IP

The demand and amount of data transfer in heterogeneous wireless network increases as the techniques of the third/fourth generation mobile communications (3G/4G) are progressed significantly. Vertical handoff provides continuous and seamless transfer ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Journal of Network and Computer Applications

Journal of Network and Computer Applications Volume 83, Issue C

April 2017

221 pages

ISSN:1084-8045

Issue’s Table of Contents

Copyright © Elsevier Ltd.

Publisher

Academic Press Ltd.

United Kingdom

Publication History

Published: 01 April 2017

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 02 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

Sahu MRachuri SAnsari AKherani A(2022)Traffic splitting for delay jitter control in multi-access systemsTelecommunications Systems10.1007/s11235-022-00921-280:4(513-527)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s11235-022-00921-2
Anbalagan SKumar DJ MRaja GEjaz WBashir A(2020)SDN-assisted efficient LTE-WiFi aggregation in next generation IoT networksFuture Generation Computer Systems10.1016/j.future.2017.12.013107:C(898-908)Online publication date: 1-Jul-2020
https://dl.acm.org/doi/10.1016/j.future.2017.12.013
Sharafeddine SJahed KFawaz M(2017)Optimized device centric aggregation mechanisms for mobile devices with multiple wireless interfacesComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2017.08.026129:P1(1-16)Online publication date: 24-Dec-2017
https://dl.acm.org/doi/10.1016/j.comnet.2017.08.026

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents