Quality-oriented Rate Control and Resource Allocation in Time-Varying OFDMA Networks

In this paper, we propose a resource management scheme for on-demand video streaming in orthogonal frequency-division multiple access (OFDMA) networks with both time-varying channels and a user's personalized quality requirement. We design a user quality satisfaction model to evaluate the degree of the user quality satisfaction with respect to his/her personalized quality requirement. To perform the dynamic resource management, we propose a joint rate control (RC) associated with the quality adjustment at the application layer and resource allocation (RA) associated with the power allocation and subcarrier assignment at the physical layer. By using the Lyapunov optimization technique, we develop a joint RC and RA (JRCRA) algorithm to maximize the time-averaged quality satisfaction of all users (QSAU). We show that the QSAU achieved by the JRCRA algorithm without any prior knowledge of the channel statistics can arbitrarily attain the optimal QSAU achieved by the algorithm with a complete knowledge of the channel statistics. Simulation results verify the advantages of the proposed JRCRA algorithm.

[1]  Yao Wang,et al.  Multiple Description Coding for Video Delivery , 2005, Proceedings of the IEEE.

[2]  Ali C. Begen,et al.  Watching Video over the Web: Part 1: Streaming Protocols , 2011, IEEE Internet Computing.

[3]  Phuoc Tran-Gia,et al.  A Survey on Quality of Experience of HTTP Adaptive Streaming , 2015, IEEE Communications Surveys & Tutorials.

[4]  F. Richard Yu,et al.  Wireless virtualization for next generation mobile cellular networks , 2015, IEEE Wireless Communications.

[5]  Hongseok Kim,et al.  A QoE-Aware Proportional Fair Resource Allocation for Multi-Cell OFDMA Networks , 2015, IEEE Communications Letters.

[6]  B. Bangerter,et al.  Networks and devices for the 5G era , 2014, IEEE Communications Magazine.

[7]  Lili Xie,et al.  QoE-aware Power Allocation Algorithm in Multiuser OFDM Systems , 2011, 2011 Seventh International Conference on Mobile Ad-hoc and Sensor Networks.

[8]  F. Richard Yu,et al.  Wireless Network Virtualization: A Survey, Some Research Issues and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[9]  Khaled Ben Letaief,et al.  Multiuser OFDM with adaptive subcarrier, bit, and power allocation , 1999, IEEE J. Sel. Areas Commun..

[10]  Vyas Sekar,et al.  Understanding the impact of video quality on user engagement , 2011, SIGCOMM.

[11]  John M. Cioffi,et al.  Multiuser transmit optimization for multicarrier broadcast channels: asymptotic FDMA capacity region and algorithms , 2004, IEEE Transactions on Communications.

[12]  Michael J. Neely Energy Optimal Control for Time-Varying Wireless Networks , 2006, IEEE Trans. Inf. Theory.

[13]  Rose Qingyang Hu,et al.  QoE-aware mobile association and resource allocation over wireless heterogeneous networks , 2014, 2014 IEEE Global Communications Conference.

[14]  Gwendal Simon,et al.  Optimal Delivery of Rate-Adaptive Streams in Underprovisioned Networks , 2014, IEEE Journal on Selected Areas in Communications.

[15]  Deep Medhi,et al.  Measurement of Quality of Experience of Video-on-Demand Services: A Survey , 2016, IEEE Communications Surveys & Tutorials.

[16]  Ying Wang,et al.  QoE-Oriented Two-Stage Resource Allocation in Femtocell Networks , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[17]  Yueming Cai,et al.  Optimal Power Allocation and User Scheduling in Multicell Networks: Base Station Cooperation Using a Game-Theoretic Approach , 2014, IEEE Transactions on Wireless Communications.

[18]  Jeffrey G. Andrews,et al.  Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.

[19]  Leandros Tassiulas,et al.  Resource Allocation and Cross-Layer Control in Wireless Networks , 2006, Found. Trends Netw..

[20]  Thomas Wiegand,et al.  iDASH: improved dynamic adaptive streaming over HTTP using scalable video coding , 2011, MMSys.

[21]  Rose Qingyang Hu,et al.  Video Quality-Based Spectral and Energy Efficient Mobile Association in Heterogeneous Wireless Networks , 2016, IEEE Transactions on Communications.

[22]  Heiko Schwarz,et al.  Overview of the Scalable Video Coding Extension of the H.264/AVC Standard , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[23]  Thomas Wiegand,et al.  Improved caching for HTTP-based Video on Demand using Scalable Video Coding , 2011, 2011 IEEE Consumer Communications and Networking Conference (CCNC).

[24]  Narciso García,et al.  Subjective Quality Study of Adaptive Streaming of Monoscopic and Stereoscopic Video , 2014, IEEE Journal on Selected Areas in Communications.

[25]  Stephen P. Boyd,et al.  Disciplined Convex Programming , 2006 .

[26]  Bruno Sinopoli,et al.  A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP , 2015, Comput. Commun. Rev..

[27]  Mérouane Debbah,et al.  Transmit Power Minimization in Small Cell Networks Under Time Average QoS Constraints , 2015, IEEE Journal on Selected Areas in Communications.

[28]  Andrej Kos,et al.  Novel Cross-Layer QoE-Aware Radio Resource Allocation Algorithms in Multiuser OFDMA Systems , 2014, IEEE Transactions on Communications.

[29]  Antonio Ortega,et al.  Variable Bit Rate Video Coding , 2018, Compressed Video Over Networks.

[30]  Wei Yu,et al.  FDMA capacity of Gaussian multiple-access channels with ISI , 2002, IEEE Trans. Commun..

[31]  Minghua Chen,et al.  Utility Maximization in Peer-to-Peer Systems With Applications to Video Conferencing , 2012, IEEE/ACM Transactions on Networking.

[32]  Piet Demeester,et al.  Constructing a No-Reference H.264/AVC Bitstream-Based Video Quality Metric Using Genetic Programming-Based Symbolic Regression , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[33]  Chen-Yu Lee,et al.  A cost-effective and real-time QoE evaluation method for multimedia streaming services , 2015, Telecommun. Syst..

[34]  Ines Gloeckner Networked Life 20 Questions And Answers , 2016 .

[35]  Thomas Stockhammer,et al.  Dynamic adaptive streaming over HTTP --: standards and design principles , 2011, MMSys.