research-article

Stochastic Optimization for Green Multimedia Services in Dense 5G Networks

Authors:

Zhongbai Jiang,

Luigi Alfredo GriecoAuthors Info & Claims

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 15, Issue 3

Article No.: 79, Pages 1 - 22

https://doi.org/10.1145/3328996

Published: 12 September 2019 Publication History

Abstract

The manyfold capacity magnification promised by dense 5G networks will make possible the provisioning of broadband multimedia services, including virtual reality, augmented reality, and mobile immersive video, to name a few. These new applications will coexist with classic ones and contribute to the exponential growth of multimedia services in mobile networks. At the same time, the different requirements of past and old services pose new challenges to the effective usage of 5G resources. In response to these challenges, a novel Stochastic Optimization framework for Green Multimedia Services named SOGMS is proposed herein that targets the maximization of system throughput and the minimization of energy consumption in data delivery. In particular, Lyapunov optimization is leveraged to face this optimization objective, which is formulated and decomposed into three tractable subproblems. For each subproblem, a distinct algorithm is conceived, namely quality of experience--based admission control, cooperative resource allocation, and multimedia services scheduling. Finally, extensive simulations are carried out to evaluate the proposed method against state-of-art solutions in dense 5G networks.

References

[1]

G. Gao, and Y. Wen. 2017. When cloud media meet network function virtualization: Challenges and applications. IEEE MultiMedia 24, 3 (2017), 72--82.

Digital Library

[2]

C. Xu, P. Zhang, S. Jia, M. Wang, and G. M. Muntean. 2017. Video streaming in content-centric mobile networks: Challenges and solutions. IEEE Wireless Communications 24, 5 (2017), 157--165.

Digital Library

[3]

Cisco2017. Cisco Visual Networking Index Global Mobile Data Traffic Forecast Update, 2016--2021 White Paper. San Jose, CA. https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.html.

[4]

J. G. Andrews, S. Buzzi, W. Choi, S. V. Hanly, A. Lozano, A. C. K. Soong, and J. C. Zhang. 2014. What will 5G be? IEEE Journal on Selected Areas in Communications 32, 6 (2014), 1065--1082.

[5]

X. Ge, S. Tu, G. Mao, C. X. Wang, and T. Han. 2016. 5G ultra-dense cellular networks. IEEE Wireless Communications 23, 1 (2016), 72--79.

[6]

S. Petrangeli, J. V. D. Hooft, T. Wauters, and F. D. Turck. 2018. Quality of experience-centric management of adaptive video streaming services: Status and challenges. ACM Transactions on Multimedia Computing, Communications, and Applications 14, 2S (2018), Article 31, 29 pages.

Digital Library

[7]

R. Mekuria, K. Blom, and P. Cesar. 2017. Design, implementation, and evaluation of a point cloud codec for tele-immersive video. IEEE Transactions on Circuits and Systems for Video Technology 27, 4 (2017), 828--842.

Digital Library

[8]

K. Bahirat, C. Lai, R. P. Mcmahan, and B. Prabhakaran. 2018. Designing and evaluating a mesh simplification algorithm for virtual reality. ACM Transactions on Multimedia Computing, Communications, and Applications 14, 3S (2018), Article 63, 26 pages.

Digital Library

[9]

R. S. Schmoll, S. Pandi, P. J. Braun, and F. H. P. Fitzek. 2018. Demonstration of VR/AR offloading to mobile edge cloud for low latency 5G gaming application. In Proceedings of the 2018 15th IEEE Annual Consumer Communications and Networking Conference (CCNC’18). 1--3.

[10]

A. Argyriou, K. Poularakis, G. Iosifidis, and L. Tassiulas. 2017. Video delivery in dense 5G cellular networks. IEEE Network 31, 4 (2017), 28--34.

Digital Library

[11]

B. Xie, Z. Zhang, R. Q. Hu, G. Wu, and A. Papathanassiou. 2018. Joint spectral efficiency and energy efficiency in FFR-based wireless heterogeneous networks. IEEE Transactions on Vehicular Technology 67, 9 (2018), 8154--8168.

[12]

L. S. Kapov, M. Varela, T. Hofeld, and K. T. Chen. 2018. A survey of emerging concepts and challenges for QoE management of multimedia services. ACM Transactions on Multimedia Computing, Communications, and Applications 14, 2S (2018), Article 29, 29 pages.

Digital Library

[13]

D. Bhat, A. Rizk, M. Zink, and R. Steinmetz. 2018. SABR: Network-assisted content distribution for QoE-Driven ABR video streaming. ACM Transactions on Multimedia Computing, Communications, and Applications 14, 2S (2018), Article 32, 25 pages.

Digital Library

[14]

S. Buzzi, I. Chih-Lin, T. E. Klein, H. V. Poor, C. Yang, and A. Zappone. 2016. A survey of energy-efficient techniques for 5G networks and challenges ahead. IEEE Journal on Selected Areas in Communications 34, 4 (2016), 697--709.

Digital Library

[15]

C. Li, H. Xiong, J. Zou, and D. O. Wu. 2018. Joint dynamic rate control and transmission scheduling for scalable video multirate multicast over wireless networks. IEEE Transactions on Multimedia 20, 2 (2018), 361--378.

Digital Library

[16]

J. Zhu, C. Xu, J. Guan, and D. O. Wu. 2018. Differentially private distributed online algorithms over time-varying directed networks. IEEE Transactions on Signal and Information Processing over Networks 4, 1 (2018), 4--17.

[17]

J. B. Seo, B. C. Jung, and H. Jin. 2018. Nonorthogonal random access for 5G mobile communication systems. IEEE Transactions on Vehicular Technology 67, 8 (2018), 7867--7871.

[18]

J. Liu, A. Eryilmaz, N. B. Shroff, and E. S. Bentley. 2016. Heavy-ball: A new approach to tame delay and convergence in wireless network optimization. In Proceedings of the 2016 IEEE International Conference on Computer Communications (INFOCOM’16). IEEE, Los Alamitos, CA, 1--9.

[19]

W. Bao, H. Chen, Y. Li and B. Vucetic. 2017. Joint rate control and power allocation for non-orthogonal multiple access systems. IEEE Journal on Selected Areas in Communications 35, 12 (2017), 2798--2811.

[20]

P. Zhao, W. Yu, X. Yang, D. Meng and L. Wang. 2017. Buffer data-driven adaptation of mobile video streaming over heterogeneous wireless networks. IEEE Internet of Things Journal PP, 99 (2017), 1.

[21]

L. Zheng, D. W. H. Cai, and C. W. Tan. 2018. Max-min fairness rate control in wireless networks: Optimality and algorithms by Perron-Frobenius theory. IEEE Transactions on Mobile Computing 17, 1 (2018), 127--140.

[22]

C. Xu, W. Quan, H. Zhang, and L. A. Grieco. 2018. GrIMS: Green information-centric multimedia streaming framework in vehicular Ad hoc networks. IEEE Transactions on Circuits and Systems for Video Technology 28, 2 (2018), 483--498.

[23]

F. Pervez, A. Adinoyi, and H. Yanikomeroglu. 2017. Efficient resource allocation for video streaming for 5G network-to-vehicle communications. In Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC’17). IEEE, Los Alamitos, CA, 1--6.

[24]

A. A. Khalek, C. Caramanis, and R. W. Heath. 2015. Delay-constrained video transmission: Quality-driven resource allocation and scheduling. IEEE Journal of Selected Topics in Signal Processing 9, 1 (2015), 60--75.

[25]

D. Ho, G. S. Park, and H. Song. 2018. Game-theoretic scalable offloading for video streaming services over LTE and WiFi networks. IEEE Transactions on Mobile Computing 17, 5 (2018), 1090--1104.

[26]

J. Cui, Y. Liu, Z. Ding, P. Fan, and A. Nallanathan. 2018. Optimal user scheduling and power allocation for millimeter wave NOMA systems. IEEE Transactions on Wireless Communications 17, 3 (2018), 1502--1517.

[27]

C. Pan, H. Zhu, N. J. Gomes, and J. Wang. 2017. Joint user selection and energy minimization for ultra-dense multi-channel C-RAN with incomplete CSI. IEEE Journal on Selected Areas in Communications 35, 8 (2017), 1809--1824.

Digital Library

[28]

C. Pan, H. Zhu, N. J. Gomes, and J. Wang. 2017. Joint precoding and RRH selection for user-centric green MIMO C-RAN. IEEE Transactions on Wireless Communications 16, 5 (2017), 2891--2906.

Digital Library

[29]

Q. Zheng, K. Zheng, H. Zhang, and V. C. M. Leung. 2016. Delay-optimal virtualized radio resource scheduling in software-defined vehicular networks via stochastic learning. IEEE Transactions on Vehicular Technology 65, 10 (2016), 7857--7867.

[30]

T. Cao, C. Xu, M. Wang, X. Chen, L. Zhong, and G. M. Muntean. 2018. Family-aware pricing strategy for accelerating video dissemination over information-centric vehicular networks. In Proceedings of the 2018 IEEE International Conference on Communications (ICC’18). IEEE, Los Alamitos, CA, 1--7.

[31]

C. Xu, S. Jia, M. Wang, L. Zhong, H. Zhang, and G. M. Muntean. 2015. Performance-aware mobile community-based VoD streaming over vehicular ad hoc networks. IEEE Transactions on Vehicular Technology 64, 3 (2015), 1201--1217.

[32]

C. Xu, F. Zhao, J. Guan, H. Zhang, and G. M. Muntean. 2013. QoE-driven user-centric VoD services in urban multihomed P2P-based vehicular networks. IEEE Transactions on Vehicular Technology 62, 5 (2013), 2273--2289.

[33]

M. J. Neely. 2010. Stochastic Network Optimization with Application to Communication and Queueing Systems. Morgan 8 Claypool.

Digital Library

[34]

F. Khoramnejad, M. Rasti, H. Pedram, and E. Hossain. 2018. On resource management in load-coupled OFDMA networks. IEEE Transactions on Communications 66, 5 (2018), 2295--2311.

[35]

X. Ge, L. Pan, Q. Li, G. Mao, and S. Tu. 2017. Multipath cooperative communications networks for augmented and virtual reality transmission. IEEE Transactions on Multimedia 19, 10 (2017), 2345--2358.

Digital Library

[36]

B. Chen, C. Yang, and A. F. Molisch. 2017. Cache-enabled device-to-device communications: Offloading gain and energy cost. IEEE Transactions on Wireless Communications 16, 7 (2017), 4519--4536.

Digital Library

[37]

W. Fang, X. Yao, X. Zhao, J. Yin, and N. Xiong. 2018. A stochastic control approach to maximize profit on service provisioning for mobile cloudlet platforms. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48, 4 (2018), 522--534.

[38]

T. Liu, Y. Zhu, and A. Vasilakos. 2016. Stochastic optimal control for participatory sensing systems with heterogenous requests. IEEE Transactions on Computers 65, 5 (2016), 1619--1631.

Digital Library

[39]

X. Li, and J. Guan. 2017. SORA: A stochastic optimal routing algorithm for wireless sensor networks. In Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC’17). IEEE, Los Alamitos, CA, 1--6.

[40]

H. Zhang, W. Quan, H. C. Chao, and C. Qiao. 2016. Smart identifier network: A collaborative architecture for the future Internet. IEEE Network 30, 3 (2016), 46--51.

Digital Library

[41]

P. Dong, T. Zheng, S. Yu, H. Zhang, and X. Yan. 2017. Enhancing vehicular communication using 5G-enabled smart collaborative networking. IEEE Wireless Communications 24, 6 (2017), 72--79.

Digital Library

[42]

K. Wang, F. R. Yu, H. Li, and Z. Li. 2017. Information-centric wireless networks with virtualization and D2D communications. IEEE Wireless Communications 24, 3 (2017), 104--111.

Digital Library

[43]

C. Xu, S. Jia, L. Zhong, and G. M. Muntean. 2015. Socially aware mobile peer-to-peer communications for community multimedia streaming services. IEEE Communications Magazine 53, 10 (2015), 150--156.

Digital Library

[44]

G. Gao, Y. Wen, and J. Cai. 2017. vCache: Supporting cost-efficient adaptive bitrate streaming via NFV-based virtual caching. IEEE MultiMedia PP, 99 (2017), 1.

Digital Library

[45]

Y. Guo, Q. Yang, F. R. Yu, and V. C. M. Leung. 2018. Cache-enabled adaptive video streaming over vehicular networks: A dynamic approach. IEEE Transactions on Vehicular Technology 67, 6 (2018), 5445--5459.

Cited By

Wu ZYou YLiu CChou L(2024)Machine Learning Based 5G Network Slicing Management and Classification2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)10.1109/ICAIIC60209.2024.10463325(371-375)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICAIIC60209.2024.10463325
Yaqoob AMuntean G(2023)Advanced Predictive Tile Selection Using Dynamic Tiling for Prioritized 360° Video VR StreamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/360314620:1(1-28)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1145/3603146
Ge XCao ZDu DGanesan PHahn D(2022)HintStor: A Framework to Study I/O Hints in Heterogeneous StorageACM Transactions on Storage10.1145/348914318:2(1-24)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1145/3489143
Show More Cited By

Index Terms

Stochastic Optimization for Green Multimedia Services in Dense 5G Networks
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming
2. Networks
  1. Network performance evaluation
    1. Network performance analysis

Recommendations

Cross-layer QoE-driven admission control and resource allocation for adaptive multimedia services in LTE

This paper proposes novel resource management mechanisms for multimedia services in 3GPP Long Term Evolution (LTE) networks aimed at enhancing session establishment success and network resources management, while maintaining acceptable end-user quality ...
System Performance in Cloud Services: Stability and Resource Allocation
DCABES '13: Proceedings of the 2013 12th International Symposium on Distributed Computing and Applications to Business, Engineering & Science

Resources are allocated to web applications in large scale traditional servers depending on various factors like internal architecture, software support, hardware etc., resulting in under or over utilization of the resources. Valuable resources are ...
Approaches for utility-based qoe-driven optimization of network resource allocation for multimedia services
DataTraffic Monitoring and Analysis

Taking jointly into account end-user QoE and network resource allocation optimization provides new opportunities for network and service providers in improving user perceived service performance. In this chapter, we discuss state-of-the-art with regards ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Multimedia Computing, Communications, and Applications

ACM Transactions on Multimedia Computing, Communications, and Applications Volume 15, Issue 3

August 2019

331 pages

ISSN:1551-6857

EISSN:1551-6865

DOI:10.1145/3352586

Editor:
Alberto Del Bimbo
University of Firenze, Italy

Issue’s Table of Contents

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2019

Accepted: 01 April 2019

Revised: 01 March 2019

Received: 01 September 2018

Published in TOMM Volume 15, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Funding Sources

National Natural Science Foundation of China (NSFC)
BUPT Excellent Ph.D. Students Foundation
Chunhui Plan of Ministry of Education of China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

12
Total Citations
View Citations
313
Total Downloads

Downloads (Last 12 months)24
Downloads (Last 6 weeks)3

Reflects downloads up to 11 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Wu ZYou YLiu CChou L(2024)Machine Learning Based 5G Network Slicing Management and Classification2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)10.1109/ICAIIC60209.2024.10463325(371-375)Online publication date: 19-Feb-2024
https://doi.org/10.1109/ICAIIC60209.2024.10463325
Yaqoob AMuntean G(2023)Advanced Predictive Tile Selection Using Dynamic Tiling for Prioritized 360° Video VR StreamingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/360314620:1(1-28)Online publication date: 1-Jun-2023
https://dl.acm.org/doi/10.1145/3603146
Ge XCao ZDu DGanesan PHahn D(2022)HintStor: A Framework to Study I/O Hints in Heterogeneous StorageACM Transactions on Storage10.1145/348914318:2(1-24)Online publication date: 10-Mar-2022
https://dl.acm.org/doi/10.1145/3489143
Mahdi MAhmad AQassim QNatiq HSubhi MMahmoud M(2021)From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A SurveyApplied Sciences10.3390/app1117811711:17(8117)Online publication date: 31-Aug-2021
https://doi.org/10.3390/app11178117
Zeng LDong X(2021)Artistic Style Conversion Based on 5G Virtual Reality and Virtual Reality Visual SpaceMobile Information Systems10.1155/2021/93124252021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/9312425
Wu FLi BDu D(2021)FluidSMR: Adaptive Management for Hybrid SMR DrivesACM Transactions on Storage10.1145/346540417:4(1-30)Online publication date: 15-Oct-2021
https://dl.acm.org/doi/10.1145/3465404
Ma YXu CChen XXiao HZhong LMuntean G(2021)Fairness-Guaranteed Transcoding Task Assignment for Viewer-Assisted Crowdsourced Livecast ServicesICC 2021 - IEEE International Conference on Communications10.1109/ICC42927.2021.9500257(1-6)Online publication date: Jun-2021
https://doi.org/10.1109/ICC42927.2021.9500257
Xia YZhao BTang SWu H(2021)RepotTransactions on Emerging Telecommunications Technologies10.1002/ett.403532:5Online publication date: 7-May-2021
https://dl.acm.org/doi/10.1002/ett.4035
Jiang YZhao BTang SWu H(2021)A verifiable and privacy‐preserving multidimensional data aggregation scheme in mobile crowdsensingTransactions on Emerging Telecommunications Technologies10.1002/ett.400832:5Online publication date: 7-May-2021
https://dl.acm.org/doi/10.1002/ett.4008
D’Andreagiovanni FLakhlef HNardin A(2020)A Matheuristic for Joint Optimal Power and Scheduling Assignment in DVB-T2 NetworksAlgorithms10.3390/a1301002713:1(27)Online publication date: 16-Jan-2020
https://doi.org/10.3390/a13010027
Show More Cited By

View Options

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 Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Issue’s Table of Contents