Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks

Quang Nhat Tran; Nguyen Son Vo; Minh Phung Bui; Van Ca Phan; Zeeshan Kaleem; Trung Q. Duong

doi:10.1007/978-3-030-30149-1_3

Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks

Quang Nhat Tran
, Nguyen Son Vo^*
, Minh Phung Bui
, Van Ca Phan
, Zeeshan Kaleem
, Trung Q. Duong

^*Corresponding author for this work

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

5 Scopus citations

Abstract

The rapid increase in mobile users (MUs) and various video applications and services (VASs) poses a set of challenges to 5G networks. Although device-to-device (D2D) communications and resource reuse techniques can improve the streaming performance of VASs, they have not utilized the fact that there are many MUs with available sharing downlink resources, namely cellular users (CUs), and many videos cached in dense MUs to establish an efficient video streaming session. In this paper, we propose a downlink resource sharing and segment allocation (RSA) optimization problem and solve it for high video streaming performance over multi-hop multi-path (MHMP) in dense D2D 5G networks. Particularly, the RSA provides a maximum capacity for the CUs that share their downlink resources with the D2D hops in each path by finding the optimal downlink resource sharing-receiving pairs between the CUs and the D2D hops. Then, the segments of a video cached in different D2D helpers (DHs) are sent to the D2D requester (DR) over the MHMP. By finding which segments are allocated to which paths for sending, the reconstructed distortion of the received segments at the DR is minimized for high playback quality. Simulation results are shown to investigate the benefits of the proposed solution compared to other schemes without RSA.

Original language	English
Title of host publication	Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings
Editors	Trung Quang Duong, Nguyen-Son Vo, Loi K. Nguyen, Quoc-Tuan Vien, Van-Dinh Nguyen
Publisher	Springer Verlag
Pages	26-39
Number of pages	14
ISBN (Print)	9783030301484
DOIs	https://doi.org/10.1007/978-3-030-30149-1_3
State	Published - 2019
Externally published	Yes
Event	5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019 - Ho Chi Minh City, Viet Nam Duration: 19 Aug 2019 → 19 Aug 2019

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	293
ISSN (Print)	1867-8211

Conference

Conference	5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019
Country/Territory	Viet Nam
City	Ho Chi Minh City
Period	19/08/19 → 19/08/19

Bibliographical note

Publisher Copyright:
© 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

Keywords

D2D caching and communications
Downlink resource sharing
Multi-hop
Multi-path
Ultra-dense 5G networks
Video streaming

ASJC Scopus subject areas

Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-30149-1_3

Cite this

Tran, Q. N., Vo, N. S., Bui, M. P., Phan, V. C., Kaleem, Z., & Duong, T. Q. (2019). Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks. In T. Q. Duong, N.-S. Vo, L. K. Nguyen, Q.-T. Vien, & V.-D. Nguyen (Eds.), Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings (pp. 26-39). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 293). Springer Verlag. https://doi.org/10.1007/978-3-030-30149-1_3

Tran, Quang Nhat ; Vo, Nguyen Son ; Bui, Minh Phung et al. / Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks. Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings. editor / Trung Quang Duong ; Nguyen-Son Vo ; Loi K. Nguyen ; Quoc-Tuan Vien ; Van-Dinh Nguyen. Springer Verlag, 2019. pp. 26-39 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

@inproceedings{2e2948adc75c4e6184e957b9bf309d0f,

title = "Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks",

abstract = "The rapid increase in mobile users (MUs) and various video applications and services (VASs) poses a set of challenges to 5G networks. Although device-to-device (D2D) communications and resource reuse techniques can improve the streaming performance of VASs, they have not utilized the fact that there are many MUs with available sharing downlink resources, namely cellular users (CUs), and many videos cached in dense MUs to establish an efficient video streaming session. In this paper, we propose a downlink resource sharing and segment allocation (RSA) optimization problem and solve it for high video streaming performance over multi-hop multi-path (MHMP) in dense D2D 5G networks. Particularly, the RSA provides a maximum capacity for the CUs that share their downlink resources with the D2D hops in each path by finding the optimal downlink resource sharing-receiving pairs between the CUs and the D2D hops. Then, the segments of a video cached in different D2D helpers (DHs) are sent to the D2D requester (DR) over the MHMP. By finding which segments are allocated to which paths for sending, the reconstructed distortion of the received segments at the DR is minimized for high playback quality. Simulation results are shown to investigate the benefits of the proposed solution compared to other schemes without RSA.",

keywords = "D2D caching and communications, Downlink resource sharing, Multi-hop, Multi-path, Ultra-dense 5G networks, Video streaming",

author = "Tran, \{Quang Nhat\} and Vo, \{Nguyen Son\} and Bui, \{Minh Phung\} and Phan, \{Van Ca\} and Zeeshan Kaleem and Duong, \{Trung Q.\}",

note = "Publisher Copyright: {\textcopyright} 2019, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019 ; Conference date: 19-08-2019 Through 19-08-2019",

year = "2019",

doi = "10.1007/978-3-030-30149-1\_3",

language = "English",

isbn = "9783030301484",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

publisher = "Springer Verlag",

pages = "26--39",

editor = "Duong, \{Trung Quang\} and Nguyen-Son Vo and Nguyen, \{Loi K.\} and Quoc-Tuan Vien and Van-Dinh Nguyen",

booktitle = "Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings",

address = "Germany",

}

Tran, QN, Vo, NS, Bui, MP, Phan, VC, Kaleem, Z & Duong, TQ 2019, Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks. in TQ Duong, N-S Vo, LK Nguyen, Q-T Vien & V-D Nguyen (eds), Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 293, Springer Verlag, pp. 26-39, 5th EAI International Conference on Industrial Networks and Intelligent Systems, INISCOM 2019, Ho Chi Minh City, Viet Nam, 19/08/19. https://doi.org/10.1007/978-3-030-30149-1_3

Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks. / Tran, Quang Nhat; Vo, Nguyen Son; Bui, Minh Phung et al.
Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings. ed. / Trung Quang Duong; Nguyen-Son Vo; Loi K. Nguyen; Quoc-Tuan Vien; Van-Dinh Nguyen. Springer Verlag, 2019. p. 26-39 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 293).

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

TY - GEN

T1 - Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks

AU - Tran, Quang Nhat

AU - Vo, Nguyen Son

AU - Bui, Minh Phung

AU - Phan, Van Ca

AU - Kaleem, Zeeshan

AU - Duong, Trung Q.

PY - 2019

Y1 - 2019

N2 - The rapid increase in mobile users (MUs) and various video applications and services (VASs) poses a set of challenges to 5G networks. Although device-to-device (D2D) communications and resource reuse techniques can improve the streaming performance of VASs, they have not utilized the fact that there are many MUs with available sharing downlink resources, namely cellular users (CUs), and many videos cached in dense MUs to establish an efficient video streaming session. In this paper, we propose a downlink resource sharing and segment allocation (RSA) optimization problem and solve it for high video streaming performance over multi-hop multi-path (MHMP) in dense D2D 5G networks. Particularly, the RSA provides a maximum capacity for the CUs that share their downlink resources with the D2D hops in each path by finding the optimal downlink resource sharing-receiving pairs between the CUs and the D2D hops. Then, the segments of a video cached in different D2D helpers (DHs) are sent to the D2D requester (DR) over the MHMP. By finding which segments are allocated to which paths for sending, the reconstructed distortion of the received segments at the DR is minimized for high playback quality. Simulation results are shown to investigate the benefits of the proposed solution compared to other schemes without RSA.

AB - The rapid increase in mobile users (MUs) and various video applications and services (VASs) poses a set of challenges to 5G networks. Although device-to-device (D2D) communications and resource reuse techniques can improve the streaming performance of VASs, they have not utilized the fact that there are many MUs with available sharing downlink resources, namely cellular users (CUs), and many videos cached in dense MUs to establish an efficient video streaming session. In this paper, we propose a downlink resource sharing and segment allocation (RSA) optimization problem and solve it for high video streaming performance over multi-hop multi-path (MHMP) in dense D2D 5G networks. Particularly, the RSA provides a maximum capacity for the CUs that share their downlink resources with the D2D hops in each path by finding the optimal downlink resource sharing-receiving pairs between the CUs and the D2D hops. Then, the segments of a video cached in different D2D helpers (DHs) are sent to the D2D requester (DR) over the MHMP. By finding which segments are allocated to which paths for sending, the reconstructed distortion of the received segments at the DR is minimized for high playback quality. Simulation results are shown to investigate the benefits of the proposed solution compared to other schemes without RSA.

KW - D2D caching and communications

KW - Downlink resource sharing

KW - Multi-hop

KW - Multi-path

KW - Ultra-dense 5G networks

KW - Video streaming

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U2 - 10.1007/978-3-030-30149-1_3

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M3 - Conference contribution

AN - SCOPUS:85072883595

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T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

SP - 26

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BT - Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings

A2 - Duong, Trung Quang

A2 - Vo, Nguyen-Son

A2 - Nguyen, Loi K.

A2 - Vien, Quoc-Tuan

A2 - Nguyen, Van-Dinh

PB - Springer Verlag

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Y2 - 19 August 2019 through 19 August 2019

ER -

Tran QN, Vo NS, Bui MP, Phan VC, Kaleem Z, Duong TQ. Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks. In Duong TQ, Vo NS, Nguyen LK, Vien QT, Nguyen VD, editors, Industrial Networks and Intelligent Systems - 5th EAI International Conference, INISCOM 2019, Proceedings. Springer Verlag. 2019. p. 26-39. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-30149-1_3

Resource sharing and segment allocation optimized video streaming over multi-hop multi-path in dense D2D 5G networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this