A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks
Device-to-Device (D2D) communication is a novel approach that has been proposed to enhance the performance of traditional cellular networks. This work focuses on video streaming using D2D communications underlaying a Long Term Evolution (LTE) network where resources are allocated to each D2D pair in...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9197592/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849228489753886720 |
|---|---|
| author | Ibtihal Ahmed Mahmoud H. Ismail Mohamed S. Hassan |
| author_facet | Ibtihal Ahmed Mahmoud H. Ismail Mohamed S. Hassan |
| author_sort | Ibtihal Ahmed |
| collection | DOAJ |
| description | Device-to-Device (D2D) communication is a novel approach that has been proposed to enhance the performance of traditional cellular networks. This work focuses on video streaming using D2D communications underlaying a Long Term Evolution (LTE) network where resources are allocated to each D2D pair in three modes of operation; cellular, dedicated and reuse. The objective is to maximize the sum-rate of the D2D pairs while maintaining continuous video playback with an acceptable quality level. Unlike previous works, which assign one channel to each user or divide the available resources equally between them or assume constant bit rate streaming (CBR), we estimate the number of Resource Blocks (RBs) needed for all users according to their rate and Signal-to-Noise Ratio (SNR) requirements and consider Scalable Video Coding (SVC). A complete Quality of Experience (QoE)-aware framework for D2D-based video streaming that includes resource allocation, power control, mode selection and SVC layer selection is then proposed while taking into consideration buffer occupancies and the video peak signal-to-noise ratio (PSNR). The efficacy of the proposed scheme is evaluated through extensive simulations and compared to the scenario where only one mode of operation is assigned to all D2D pairs. Furthermore, the effect of the number of D2D users as well as their mobility is also investigated. Simulation results show that the proposed framework improves the throughput of the D2D pairs when compared to a single mode of operation while at the same time providing better video quality and continuity. |
| format | Article |
| id | doaj-art-19d4e2113f384adca3f63cbe9a4112a1 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-19d4e2113f384adca3f63cbe9a4112a12025-08-22T23:13:05ZengIEEEIEEE Access2169-35362020-01-01816927216928510.1109/ACCESS.2020.30242379197592A QoE-Aware Mode Selection Framework for Video Streaming in D2D NetworksIbtihal Ahmed0https://orcid.org/0000-0002-4488-8457Mahmoud H. Ismail1https://orcid.org/0000-0001-5413-5355Mohamed S. Hassan2https://orcid.org/0000-0001-6318-0748Department of Electrical Engineering, American University of Sharjah, Sharjah, UAEDepartment of Electrical Engineering, American University of Sharjah, Sharjah, UAEDepartment of Electrical Engineering, American University of Sharjah, Sharjah, UAEDevice-to-Device (D2D) communication is a novel approach that has been proposed to enhance the performance of traditional cellular networks. This work focuses on video streaming using D2D communications underlaying a Long Term Evolution (LTE) network where resources are allocated to each D2D pair in three modes of operation; cellular, dedicated and reuse. The objective is to maximize the sum-rate of the D2D pairs while maintaining continuous video playback with an acceptable quality level. Unlike previous works, which assign one channel to each user or divide the available resources equally between them or assume constant bit rate streaming (CBR), we estimate the number of Resource Blocks (RBs) needed for all users according to their rate and Signal-to-Noise Ratio (SNR) requirements and consider Scalable Video Coding (SVC). A complete Quality of Experience (QoE)-aware framework for D2D-based video streaming that includes resource allocation, power control, mode selection and SVC layer selection is then proposed while taking into consideration buffer occupancies and the video peak signal-to-noise ratio (PSNR). The efficacy of the proposed scheme is evaluated through extensive simulations and compared to the scenario where only one mode of operation is assigned to all D2D pairs. Furthermore, the effect of the number of D2D users as well as their mobility is also investigated. Simulation results show that the proposed framework improves the throughput of the D2D pairs when compared to a single mode of operation while at the same time providing better video quality and continuity.https://ieeexplore.ieee.org/document/9197592/Video streamingD2D communicationmode selectionquality-of-experienceinterference |
| spellingShingle | Ibtihal Ahmed Mahmoud H. Ismail Mohamed S. Hassan A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks IEEE Access Video streaming D2D communication mode selection quality-of-experience interference |
| title | A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks |
| title_full | A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks |
| title_fullStr | A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks |
| title_full_unstemmed | A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks |
| title_short | A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks |
| title_sort | qoe aware mode selection framework for video streaming in d2d networks |
| topic | Video streaming D2D communication mode selection quality-of-experience interference |
| url | https://ieeexplore.ieee.org/document/9197592/ |
| work_keys_str_mv | AT ibtihalahmed aqoeawaremodeselectionframeworkforvideostreamingind2dnetworks AT mahmoudhismail aqoeawaremodeselectionframeworkforvideostreamingind2dnetworks AT mohamedshassan aqoeawaremodeselectionframeworkforvideostreamingind2dnetworks AT ibtihalahmed qoeawaremodeselectionframeworkforvideostreamingind2dnetworks AT mahmoudhismail qoeawaremodeselectionframeworkforvideostreamingind2dnetworks AT mohamedshassan qoeawaremodeselectionframeworkforvideostreamingind2dnetworks |