Measurement-based on-body path loss modelling for UWB WBAN communications

This paper presents a path loss model for an ultra wideband (UWB) wireless body area network (WBAN) on-body communication. The modelling is based on the static frequency domain measurements in an anechoic chamber. The studies are done for several on-body radio channels and with two different UWB antennas (dipole and double loop) for the frequency range of 2-8 GHz. A linear least squares (LS) polynomial data fitting is applied to the post processed measurement data resulting parameters for a path loss model. It is shown that the loop antenna outperforms the dipole antenna in respect to the slope of the attenuation. However, the path loss at the reference distance is higher for the loop. It is also shown that the signal propagation delay in the antenna structures causes error in distance measurement and unless the error is compensated significant differences in the parameters of the path loss model may occur in a WBAN case. Finally, it is observed that by using energy detection notable benefit can be obtained if all propagation paths are considered instead of the first arriving path.

[1]  William Stallings,et al.  Local and Metropolitan Area Networks , 1993 .

[2]  Harri Viittala,et al.  Different experimental WBAN channel models and IEEE802.15.6 models: Comparison and effects , 2009, 2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies.

[3]  J. Iinatti,et al.  Impedance behaviour of planar UWB antennas in the vicinity of a dispersive tissue model , 2012, 2012 Loughborough Antennas & Propagation Conference (LAPC).

[4]  A. Taparugssanagorn,et al.  A Review of Channel Modelling for Wireless Body Area Network in Wireless Medical Communications , 2022 .

[5]  R. Kaul,et al.  Microwave engineering , 1989, IEEE Potentials.

[6]  P.S. Hall,et al.  Antennas and propagation for body centric wireless communications , 2012, IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005..

[7]  J. Iinatti,et al.  Comparison of the performance of the two different UWB antennas for the use in WBAN on-body communication , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).

[8]  Matti Hämäläinen,et al.  Effect of the antenna-human body distance on the antenna matching in UWB WBAN applications , 2013, 2013 7th International Symposium on Medical Information and Communication Technology (ISMICT).

[9]  A. Fort,et al.  Characterization of the ultra wideband body area propagation channel , 2005, 2005 IEEE International Conference on Ultra-Wideband.

[10]  Moe Z. Win,et al.  The ultra-wide bandwidth indoor channel: from statistical model to simulations , 2002, IEEE J. Sel. Areas Commun..

[11]  Ingrid Moerman,et al.  Characterization of On-Body Communication Channel and Energy Efficient Topology Design for Wireless Body Area Networks , 2009, IEEE Transactions on Information Technology in Biomedicine.

[12]  J. Iinatti,et al.  Reactive near-field region radiation of planar UWB antennas close to a dispersive tissue model , 2012, 2012 Loughborough Antennas & Propagation Conference (LAPC).

[13]  Matti Hämäläinen,et al.  Channel modeling for UWB WBAN on-off body communication link with finite integration technique , 2012, BODYNETS.

[14]  Kiyoshi Hamaguchi,et al.  RF Propagation and Channel Modeling for UWB Wearable Devices , 2011, IEICE Trans. Commun..

[15]  A. Fort,et al.  An ultra-wideband body area propagation channel Model-from statistics to implementation , 2006, IEEE Transactions on Microwave Theory and Techniques.

[16]  Judith E. Terrill,et al.  A statistical path loss model for medical implant communication channels , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.