Performance Assessment of Wireless Communication Networks through Cross-Layer Measurements

Assessing the overall performance of wireless communication networks is of key importance for optimal management and planning. With special regard to wireless networks operating in an unlicensed band, evaluating overall performance mainly implies facing coexistence issues, associated with the contemporaneous presence of true and interfering signals at physical layer. This task is difficult, if not prohibitive, to be fulfilled only on the basis of single-layer measurements; a partial perspective of network behavior would, in fact, be gained. At this concern, a cross-layer approach is presented hereinafter. It provides for several measurements, to be concurrently carried out at different layers through an innovative automatic station. It aims at correlating the values major physical layer quantities (e.g. channel power, signal-to-noise ratio) exhibit to those characterizing key network/transport layer parameters (e.g. packet loss ratio, one-way delay). A first step towards a full characterization of how the effects of a problem, experienced either at physical layer or network/transport layer, propagates along the whole protocol stack can thus be taken. Details on the procedure underlying the proposed approach, as well as the realized measurement station, are given with reference to an application example

[1]  Yevgeni Koucheryavy,et al.  Cross-Layer Analytical Modeling of Wireless Channels for Accurate Performance Evaluation , 2004, QofIS.

[2]  George C. Polyzos,et al.  TCP and UDP performance over a wireless LAN , 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).

[3]  Liesbet Van der Perre,et al.  Cross-layer exploration of link adaptation in wireless LANs with TCP traffic , 2003 .

[4]  Michele Vadursi,et al.  Power measurement in digital wireless communication systems through parametric spectral estimation , 2006, IEEE Transactions on Instrumentation and Measurement.

[5]  L. Angrisani,et al.  Poer Measurement in Digital Wireless Communications Systems through Parametric Spectral Estimation , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[6]  A. Sikora,et al.  Coexistence of IEEE802.15.4 with other Systems in the 2.4 GHz-ISM-Band , 2005, 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings.

[7]  Nada Golmie,et al.  Bluetooth and WLAN coexistence: challenges and solutions , 2003, IEEE Wireless Communications.

[8]  Rui Pedro Lopes,et al.  Performance analysis of a wireless MAN , 2001, Proceedings IEEE International Symposium on Network Computing and Applications. NCA 2001.

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

[10]  Yuji Maeda,et al.  Experimental and theoretical evaluation of interference characteristics between 2.4-GHz ISM-band wireless LANs , 1998, 1998 IEEE EMC Symposium. International Symposium on Electromagnetic Compatibility. Symposium Record (Cat. No.98CH36253).

[11]  Y. Matsumoto,et al.  Performance analysis of interference problems involving DS-SS WLAN systems and microwave ovens , 2005, IEEE Transactions on Electromagnetic Compatibility.