QoE-aware admission control and MAC layer parameter configuration algorithm in WLAN

In IEEE 802.11 wireless local area network (WLAN), the quality of the experience (QoE) of HTTP video streaming is seriously influenced by the restricted bandwidth and shared resources. However, to the best of our knowledge, the assessment and optimization of QoE of HTTP video streaming in WLAN have not been fully studied yet. In this paper, we propose an objective metric to assess the QoE and obtain the relationship between this metric and the achieved MAC layer throughput, which makes the MAC layer be aware of the QoE performance directly. Then, a novel admission control and MAC layer parameter configuration algorithm is proposed, which optimizes the QoE of HTTP video streaming and guarantees the throughput requirement of background traffic. Simulation results show that the proposed algorithm outperforms legacy IEEE 802.11 DCF in QoE optimization by a factor of six or more when the number of background stations is large.

[1]  Voon Chin Phua,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1999 .

[2]  Satish K. Tripathi,et al.  Split TCP for mobile ad hoc networks , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[3]  Roberto Battiti,et al.  Achieving Optimal Performance by Using the IEEE 802.11 MAC Protocol With Service Differentiation Enhancements , 2007, IEEE Transactions on Vehicular Technology.

[4]  Rocky K. C. Chang,et al.  Measuring the quality of experience of HTTP video streaming , 2011, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops.

[5]  Phuoc Tran-Gia,et al.  Quantification of YouTube QoE via Crowdsourcing , 2011, 2011 IEEE International Symposium on Multimedia.

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

[7]  Jeffrey G. Andrews,et al.  Video capacity and QoE enhancements over LTE , 2012, 2012 IEEE International Conference on Communications (ICC).

[8]  Jeffrey G. Andrews,et al.  Interference Shaping for Improved Quality of Experience for Real-Time Video Streaming , 2012, IEEE Journal on Selected Areas in Communications.

[9]  Huifang Chen,et al.  An artificial-neural-network-based QoE estimation model for Video streaming over wireless networks , 2013, 2013 IEEE/CIC International Conference on Communications in China (ICCC).

[10]  Jorge Navarro-Ortiz,et al.  A QoE-Aware Scheduler for HTTP Progressive Video in OFDMA Systems , 2013, IEEE Communications Letters.

[11]  Martín Varela,et al.  QoE-driven network management for real-time over-the-top multimedia services , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).

[12]  Wendong Wang,et al.  QoE-Driven Cross-Layer Optimization for Wireless Dynamic Adaptive Streaming of Scalable Videos Over HTTP , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

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

[14]  Gustavo de Veciana,et al.  Rate Adaptation and Admission Control for Video Transmission With Subjective Quality Constraints , 2013, IEEE Journal of Selected Topics in Signal Processing.