A QoE-Aware Mode Selection Framework for Video Streaming in D2D Networks

被引:2
|
作者
Ahmed, Ibtihal [1 ]
Ismail, Mahmoud H. [1 ,2 ]
Hassan, Mohamed S. [1 ]
机构
[1] Amer Univ Sharjah, Dept Elect Engn, Sharjah, U Arab Emirates
[2] Cairo Univ, Fac Engn, Dept Elect & Commun Engn, Giza 12613, Egypt
关键词
Device-to-device communication; Streaming media; Resource management; Copper; Quality of experience; Video recording; Quality assessment; Video streaming; D2D communication; mode selection; quality-of-experience; interference; TO-DEVICE COMMUNICATIONS; QUALITY;
D O I
10.1109/ACCESS.2020.3024237
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:169272 / 169285
页数:14
相关论文
共 50 条
  • [11] Trace-Driven QoE-Aware Proactive Caching for Mobile Video Streaming in Metropolis
    Huang, Danlan
    Tao, Xiaoming
    Jiang, Chunxiao
    Cui, Shuguang
    Lu, Jianhua
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (01) : 62 - 76
  • [12] QoE-aware Scheduling for Video Streaming in 802.11n/ac-based High User Density Networks
    Li, Maodong
    Tan, Peng Hui
    Sun, Sumei
    Chew, Yong Huat
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [13] Towards QoE-aware Video Streaming using SDN
    Nam, Hyunwoo
    Kim, Kyung-Hwa
    Kim, Jong Yul
    Schulzrinne, Henning
    2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), 2014, : 1317 - 1322
  • [14] QoE-aware Routing for Video Streaming over VANETs
    Pham Tran Anh Quang
    Piamrat, Kandaraj
    Viho, Cesar
    2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2014,
  • [15] QoE-aware Routing for Video Streaming over Ad-hoc Networks
    Pham Tran Anh Quang
    Piamrat, Kandaraj
    Viho, Cesar
    2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), 2014, : 181 - 186
  • [16] From 2D to Next Generation VR/AR Videos: Enabling Efficient Streaming via QoE-aware Mobile Networks
    Tavares da Costa Filho, Roberto Iraja
    De Turck, Filip
    Gaspary, Luciano Paschoal
    NOMS 2020 - PROCEEDINGS OF THE 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2020: MANAGEMENT IN THE AGE OF SOFTWARIZATION AND ARTIFICIAL INTELLIGENCE, 2020,
  • [17] Dynamic Socially-Motivated D2D Relay Selection With Uniform QoE Criterion for Multi-Demands
    Wu, Mingming
    Xiao, Yue
    Gao, Yulan
    Xiao, Ming
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2020, 68 (06) : 3355 - 3368
  • [18] QoE-Aware 3D Video Streaming via Deep Reinforcement Learning in Software Defined Networking Enabled Mobile Edge Computing
    Zhou, Pan
    Xie, Yulai
    Niu, Ben
    Pu, Lingjun
    Xu, Zichuan
    Jiang, Hao
    Huang, Huawei
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2021, 8 (01): : 419 - 433
  • [19] QoE awareness in progressive caching and DASH-based D2D video streaming in cellular networks
    Al-Habashna, Ala'a
    Wainer, Gabriel
    WIRELESS NETWORKS, 2020, 26 (03) : 2051 - 2073
  • [20] QoE-Aware Sustainable Throughput for Energy-Efficient Video Streaming
    Fiedler, Markus
    Popescu, Adrian
    Yao, Yong
    PROCEEDINGS OF 2016 IEEE INTERNATIONAL CONFERENCES ON BIG DATA AND CLOUD COMPUTING (BDCLOUD 2016) SOCIAL COMPUTING AND NETWORKING (SOCIALCOM 2016) SUSTAINABLE COMPUTING AND COMMUNICATIONS (SUSTAINCOM 2016) (BDCLOUD-SOCIALCOM-SUSTAINCOM 2016), 2016, : 493 - 500