Joint Adaptive Rate and Scheduling for Unicasting Video Streams in Cellular Wireless Networks

We develop and study adaptive rate scheduling mechanisms over cellular wireless networks, as used for the unicast provision of video streams to client mobiles at variable quality of experience (QoE) levels. Under service type I, mobile users receive video streams at a QoE level that is not lower than a specified value. In addition, mobile users that experience sufficiently high communications channel quality levels may be provided video streams at higher video quality levels. Under service type II, mobile clients receive their video streams at QoE levels that are based on their recorded signal to noise and interference levels. Resource allocations among mobiles are, however, subjected to absolute and proportional fairness objectives. We employ a proxy video manager and resource controller that is located at (or associated with) the base station node. The manager intercepts a channel quality indicator message reported by a mobile client, using it to determine the QoE level at which a requested video stream will be provided. It then selects the proper source and channel encoding schemes to be used for producing and transmitting a compressed version of the stream. To regulate inter-cell signal interference, we examine the joint employment of a number of different spectral-reuse and fractional frequency reuse (FFR) scheduling schemes. To illustrate the use of our models to configure system parameters, we consider a performance metric that incorporates a will-to-pay utility function. We develop analytical techniques for the modeling, analyzing, and designing of such systems. We confirm the precision of these models through the conduct of simulation analyses. Also, we show that, under certain system configurations, FFR-based schemes can lead to substantial enhancement of the system's performance behavior.

[1]  Reuven Cohen,et al.  Robust multicasting in micro base station aided wireless cellular networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[2]  Izhak Rubin,et al.  Mobile HTTP-based streaming using flexible LTE base station control , 2015, 2015 IEEE 16th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[3]  Sem C. Borst,et al.  Optimal rate allocation for adaptive wireless video streaming in networks with user dynamics , 2014, IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

[4]  Francesca Cuomo,et al.  Dynamic and cooperative mobile video streaming across heterogeneous cellular networks , 2016, 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM).

[5]  Peter Reichl,et al.  From charging for Quality of Service to charging for Quality of Experience , 2010, Ann. des Télécommunications.

[6]  Martin Reisslein,et al.  Video Transport Evaluation With H.264 Video Traces , 2012, IEEE Communications Surveys & Tutorials.

[7]  Antonios Argyriou,et al.  Joint Time-Domain Resource Partitioning, Rate Allocation, and Video Quality Adaptation in Heterogeneous Cellular Networks , 2015, IEEE Transactions on Multimedia.

[8]  Xiao-Hong Peng,et al.  Adaptive Resource Allocation for QoE-Aware Mobile Communication Networks , 2014, 2014 IEEE 17th International Conference on Computational Science and Engineering.

[9]  L. Fenton.  The Sum of Log-Normal Probability Distributions in Scatter Transmission Systems , 1960 .

[10]  Giuseppe Piro,et al.  Downlink Packet Scheduling in LTE Cellular Networks: Key Design Issues and a Survey , 2013, IEEE Communications Surveys & Tutorials.

[11]  Chuck Yoo,et al.  HAVS: hybrid adaptive video streaming for mobile devices , 2014, IEEE Transactions on Consumer Electronics.

[12]  Izhak Rubin,et al.  Scalable video downlink multicasting in multi-cell cellular wireless networks , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[13]  Thomas Wiegand,et al.  Efficient HTTP-based streaming using Scalable Video Coding , 2012, Signal Process. Image Commun..

[14]  Jeffrey G. Andrews,et al.  User Association for Load Balancing in Heterogeneous Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[15]  Filip De Turck,et al.  On the merits of SVC-based HTTP Adaptive Streaming , 2013, 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013).

[16]  Ian F. Akyildiz,et al.  The evolution to 4G cellular systems: LTE-Advanced , 2010, Phys. Commun..

[17]  Farooq Khan.  LTE for 4G Mobile Broadband: LTE for 4G Mobile Broadband , 2009 .

[18]  Velio Tralli,et al.  Quality-fair HTTP adaptive streaming over LTE network , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[19]  Guidelines for evaluation of radio interface technologies for IMT-Advanced , 2008 .

[20]  Izhak Rubin,et al.  Optimal Downlink and Uplink Fractional Frequency Reuse in Cellular Wireless Networks , 2016, IEEE Transactions on Vehicular Technology.

[21]  Xirong Que,et al.  Scheduling and resource allocation for wireless dynamic adaptive streaming of scalable videos over HTTP , 2014, 2014 IEEE International Conference on Communications (ICC).

[22]  Tingyao Wu,et al.  SVC-based HTTP adaptive streaming , 2012, Bell Labs Technical Journal.

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

[24]  O. Oyman,et al.  Quality of experience for HTTP adaptive streaming services , 2012, IEEE Communications Magazine.

[25]  Dirk Staehle,et al.  QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[26]  Olav Tirkkonen,et al.  LTE, the radio technology path towards 4G , 2010, Comput. Commun..

[27]  Christian Timmerer,et al.  Using Scalable Video Coding for Dynamic Adaptive Streaming over HTTP in mobile environments , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[28]  Markus Rupp,et al.  Simulating the Long Term Evolution physical layer , 2009, 2009 17th European Signal Processing Conference.

[29]  S. Schwartz,et al.  On the distribution function and moments of power sums with log-normal components , 1982, The Bell System Technical Journal.

[30]  Xirong Que,et al.  User K 1-DASH Get Request M-QAM modulation CSI High bandwidth Low delay Wireless channel Buffer Demodulation , 2014 .

[31]  Wolfgang Kellerer,et al.  Quality-of-experience driven adaptive HTTP media delivery , 2013, 2013 IEEE International Conference on Communications (ICC).

[32]  Jeffrey G. Andrews,et al.  Comparison of Fractional Frequency Reuse Approaches in the OFDMA Cellular Downlink , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[33]  3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access (e-utra); Further Advancements for E-utra Physical Layer Aspects (release 9) , 2022 .

[34]  Christian Timmerer,et al.  Evaluation of hybrid Scalable Video Coding for HTTP-based adaptive media streaming with high-definition content , 2013, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[35]  Dacheng Yang,et al.  A Novel Multi-Cell OFDMA System Structure using Fractional Frequency Reuse , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[36]  Ozgur Oyman,et al.  Video-QoE aware radio resource allocation for HTTP adaptive streaming , 2014, 2014 IEEE International Conference on Communications (ICC).