Experimental assessment of the effects of cross-traffic on Wi-Fi video streaming

Abstract Wi-Fi networks are the first and sometimes only choice for the video streaming in homes, airports, malls, public areas and museums. However, Wi-Fi networks are vulnerable to interference, noise and have bandwidth limitations. Due to the intrinsic vulnerability of the communication channel, and the large number of variables involved, simulation alone is not enough in the evaluation of the performance of wireless networks. Actually, there is a tendency to give experimental tests a central role in the assessment of Wi-Fi networks performance. The paper presents an experimental analysis of the effects of cross traffic on the performance of video streaming over Wi-Fi, based on cross-layer measurements. Experiments are carried out in a semi-anechoic chamber, to prevent the results from being influenced by external factors. The experimental results permit to analyze the influence of cross traffic characteristics on cross layer measures and objective video quality metrics evaluated through a standardized approach.

[1]  Zhi Ang Eu,et al.  An in-situ measurement approach for IEEE 802.11 wireless multihop networks , 2009, 2009 IEEE Instrumentation and Measurement Technology Conference.

[2]  Antonio Pescapè,et al.  Performance measurement of IEEE 802.11b-based networks affected by narrowband interference through cross-layer measurements , 2008, IET Commun..

[3]  Tom Alexander Optimizing and Testing WLANs: Proven Techniques for Maximum Performance , 2007 .

[4]  Moustafa Youssef,et al.  An accurate technique for measuring the wireless side of wireless networks , 2005, WiTMeMo '05.

[5]  Keith W. Ross,et al.  Computer networking - a top-down approach featuring the internet , 2000 .

[6]  Kevin C. Almeroth,et al.  Understanding congestion in IEEE 802.11b wireless networks , 2005, IMC '05.

[7]  Kannan Ramchandran,et al.  Multicast and unicast real-time video streaming over wireless LANs , 2002, IEEE Trans. Circuits Syst. Video Technol..

[8]  Antonio Pescapè,et al.  UANM: a platform for experimenting with available bandwidth estimation tools , 2010, The IEEE symposium on Computers and Communications.

[9]  Salvatore D'Antonio,et al.  Techniques for available bandwidth measurement in IP networks: A performance comparison , 2006, Comput. Networks.

[10]  Rui Li,et al.  A Framework for Cross-layer Measurement of 3G and Wi-Fi Combined Net works , 2008 .

[11]  M. Boulmalf,et al.  Experimental analysis of video performance over wireless local area networks , 2009, 2009 International Conference on Multimedia Computing and Systems.

[12]  Reginald L. Lagendijk,et al.  Optimized video streaming over 802.11 by cross-layer signaling , 2006, IEEE Communications Magazine.

[13]  Michele Vadursi,et al.  Cross-Layer Measurements for a Comprehensive Characterization of Wireless Networks in the Presence of Interference , 2007, IEEE Transactions on Instrumentation and Measurement.

[14]  Krishna Balachandran,et al.  Channel quality estimation and rate adaptation for cellular mobile radio , 1999, IEEE J. Sel. Areas Commun..

[15]  Sneha Kumar Kasera,et al.  Reliable multicast in multi-access wireless LANs , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[16]  Itu-T and Iso Iec Jtc Advanced video coding for generic audiovisual services , 2010 .

[17]  L. Angrisani,et al.  Are IEEE 802.11 Wireless Networks Appropriate for Video Streaming in the Presence of Interference? An Experimental Answer , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.

[18]  Leopoldo Angrisani,et al.  Cross-Layer Measurement on an IEEE 802.11g Wireless Network Supporting MPEG-2 Video Streaming Applications in the Presence of Interference , 2010, EURASIP J. Wirel. Commun. Netw..

[19]  L. Angrisani,et al.  An experimental analysis of the effects of noise on Wi-Fi video streaming , 2010, 2010 IEEE Instrumentation & Measurement Technology Conference Proceedings.

[20]  Mihaela van der Schaar,et al.  Optimized scalable video streaming over IEEE 802.11 a/e HCCA wireless networks under delay constraints , 2006, IEEE Transactions on Mobile Computing.

[21]  A. Molina,et al.  Cross-layer WLAN measurement and link analysis for low latency error resilient wireless video transmission , 2005, 2005 Digest of Technical Papers. International Conference on Consumer Electronics, 2005. ICCE..

[22]  William G. Whittow,et al.  A Framework for Cross-Layer Measurements in Wireless Networks , 2009, 2009 Fifth Advanced International Conference on Telecommunications.

[23]  Dirk Grunwald,et al.  MOJO: a distributed physical layer anomaly detection system for 802.11 WLANs , 2006, MobiSys '06.