QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks
Recently, device-to-device (D2D)-underlaid fifth-generation (5G) cellular networks have received plenty of attention because of their ability to save network resources and to reduce energy consumption. Most existing algorithms for multimedia services over D2D networks consider only the signal-to-noi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8540810/ |
| _version_ | 1818854630411468800 |
|---|---|
| author | Jihyeok Yun Md. Jalil Piran Doug Young Suh |
| author_facet | Jihyeok Yun Md. Jalil Piran Doug Young Suh |
| author_sort | Jihyeok Yun |
| collection | DOAJ |
| description | Recently, device-to-device (D2D)-underlaid fifth-generation (5G) cellular networks have received plenty of attention because of their ability to save network resources and to reduce energy consumption. Most existing algorithms for multimedia services over D2D networks consider only the signal-to-noise ratio (SNR) and ignore temporal requirements, which do not provide optimum performances. To overcome this issue, we propose a framework for a cross-layer D2D link control system, which guarantees the quality of service and improves the quality of experience (QoE) for live video streaming with different priorities and delay constraints. In this framework, we considered three techniques, including priority-based video transmission, flexible communication mode switching of user equipment, and subset-based relay assignment. According to the live video generation period, our system dynamically adjusts the ratio between cellular and D2D mode durations in each unit of the communication period for each user individually. Our proposal also considerably reduces the duration and frequency of video playback freezing by delivering at least the minimum service quality of the delivered video to the sink users even in the shadow area and therefore improves the QoE for all users while minimizing energy consumption. System-level simulation shows that the proposed algorithm outperforms other methods in terms of the average mean time to failure, average peak SNR, and average energy consumption. |
| first_indexed | 2024-12-19T07:55:46Z |
| format | Article |
| id | doaj.art-2424c64bcee14115bc7e8a007d103f7c |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T07:55:46Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2424c64bcee14115bc7e8a007d103f7c2022-12-21T20:30:01ZengIEEEIEEE Access2169-35362018-01-016725637258010.1109/ACCESS.2018.28824418540810QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular NetworksJihyeok Yun0https://orcid.org/0000-0001-7005-2488Md. Jalil Piran1https://orcid.org/0000-0003-3229-6785Doug Young Suh2Department of Electronic Engineering, College of Electronics and Information, Kyung Hee University, Yongin, South KoreaDepartment of Computer Science and Engineering, Sejong University, Seoul, South KoreaDepartment of Electronic Engineering, College of Electronics and Information, Kyung Hee University, Yongin, South KoreaRecently, device-to-device (D2D)-underlaid fifth-generation (5G) cellular networks have received plenty of attention because of their ability to save network resources and to reduce energy consumption. Most existing algorithms for multimedia services over D2D networks consider only the signal-to-noise ratio (SNR) and ignore temporal requirements, which do not provide optimum performances. To overcome this issue, we propose a framework for a cross-layer D2D link control system, which guarantees the quality of service and improves the quality of experience (QoE) for live video streaming with different priorities and delay constraints. In this framework, we considered three techniques, including priority-based video transmission, flexible communication mode switching of user equipment, and subset-based relay assignment. According to the live video generation period, our system dynamically adjusts the ratio between cellular and D2D mode durations in each unit of the communication period for each user individually. Our proposal also considerably reduces the duration and frequency of video playback freezing by delivering at least the minimum service quality of the delivered video to the sink users even in the shadow area and therefore improves the QoE for all users while minimizing energy consumption. System-level simulation shows that the proposed algorithm outperforms other methods in terms of the average mean time to failure, average peak SNR, and average energy consumption.https://ieeexplore.ieee.org/document/8540810/Device-to-device communicationresource allocationlive video streamingQoSQoE |
| spellingShingle | Jihyeok Yun Md. Jalil Piran Doug Young Suh QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks IEEE Access Device-to-device communication resource allocation live video streaming QoS QoE |
| title | QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks |
| title_full | QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks |
| title_fullStr | QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks |
| title_full_unstemmed | QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks |
| title_short | QoE-Driven Resource Allocation for Live Video Streaming Over D2D-Underlaid 5G Cellular Networks |
| title_sort | qoe driven resource allocation for live video streaming over d2d underlaid 5g cellular networks |
| topic | Device-to-device communication resource allocation live video streaming QoS QoE |
| url | https://ieeexplore.ieee.org/document/8540810/ |
| work_keys_str_mv | AT jihyeokyun qoedrivenresourceallocationforlivevideostreamingoverd2dunderlaid5gcellularnetworks AT mdjalilpiran qoedrivenresourceallocationforlivevideostreamingoverd2dunderlaid5gcellularnetworks AT dougyoungsuh qoedrivenresourceallocationforlivevideostreamingoverd2dunderlaid5gcellularnetworks |