Device-to-device communications for enhancing quality of experience in software defined multi-tier LTE-A networks
Abstract
3GPP has been developing LTE-A standard to significantly enhance the performance of cellular networks by utilizing various radio access techniques to provide ubiquitous and seamless broadband access to a rich diversity of mobile connected devices, which usually demand high QoE in spite of of access location or time. Consequently, it imposes unprecedented stringent requirements on centralized network management at the operator side, which has to overcome formidable complexity in designing, managing, and configuring network architectures, protocols, and algorithms before being able to fully support all LTE-A techniques. It is noticed that the software defined wireless network concept appears to be a promising direction to address such complexity, by decoupling control logic from all network elements and then providing fine-grained control and measurement in LTE-A networks. Toward this end, we propose in this article a device-to-device communication-based algorithm to enhance the QoE of users in software defined multi-tier LTE-A networks. Besides discussing research issues that deserve further study, we also present numerical results to illustrate the performance gains that can be achieved by applying the proposed algorithm to a typical 3GPP network scenario.
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QoE management remains a challenging task due to many issues, which can be categorized into four aspects.
“Despite these efforts, QoE management remains a challenging task due to many issues [8], [10] which can be categorized into four different aspects, as illustrated in Fig. 1.”
From QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey (2020) · cites this paper as [10]
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Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2973651 · Cited by 733 · see citing works
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2958784 · Cited by 239 · see citing works
- Authors
- Liu, J., Zhang, S., Kato, N., Ujikawa, H., & Suzuki, K.
- Affiliations
- Xidian University (CN)
- Tohoku University (JP)
- NTT (Japan) (JP)
- Venue
- IEEE Network
- Published
- 2015-07
- Volume
- 29
- Issue
- 4
- Pages
- 46-52
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W1519021761
- Cited by
- 184
- References
- 11
- Citations by year
- 2024: 4 · 2023: 3 · 2022: 10 · 2021: 9 · 2020: 23 · 2019: 27 · 2018: 35 · 2017: 44 · 2016: 24 · 2015: 5
- FWCI
- 41.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Network (publishedVersion)
- Funders
- National Natural Science Foundation of China
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
- Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
- Keywords
- device-to-device communication, quality of experience, software-defined networking, LTE-Advanced, multi-tier cellular networks, 3GPP, cellular network performance
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