Depolarisation Model for a BAN Indoor Scenario

Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit)

Abstract

In this paper, an analysis of depolarisation in Body Area Networks for Body-to-Infrastructure communications based on a measurement campaign in the 5.8 GHz band in an indoor environment is performed. Measurements were made with an off-body antenna transmitting linearly polarised signals and dual-polarised receiving antennas carried by the user on the body. A Normal Distribution with a mean of 2.0 dB and a standard deviation of 4.3 dB is found to be the best fit for modelling cross-polarisation discrimination. The average correlation between the signals received by the orthogonally polarised antennas is below 0.5, showing that polarisation diversity can be used. A model is proposed for the average value of the standard deviation of the cross-polarisation discrimination ratio as a function of the transmitted polarisation, the mobility of users and link dynamics.

Authors 6

1. Manuel M. Ferreira

   Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · Institute for Systems Engineering and Computers

   Affiliation as printed

   Instituto Politécnico de Setúbal, ESTSetúbal and INESC-ID,Setúbal,Portugal

2. Filipe D. Cardoso

   Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · Institute for Systems Engineering and Computers

   Affiliation as printed

   Instituto Politécnico de Setúbal, ESTSetúbal and INESC-ID,Setúbal,Portugal

3. Sławomir J. Ambroziak

   Gdańsk University of Technology

   Affiliation as printed

   Telecomm and Informatics Gdańsk University of Technology,Faculty of Electronics, Digital Technologies Center,Gdansk,Poland

4. Mariella Särestöniemi

   University of Oulu

   Affiliation as printed

   University of Oulu,Centre for Wireless Communications Health Sciences and Technology,Oulu,Finland

   Centre for Wireless Communications Health Sciences and Technology, University of Oulu, Oulu, Finland

5. Kenan Turbić Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University,ICE,Aachen,Germany

   ICE, RWTH Aachen University, Aachen, Germany

6. Luis Manuel Correia

   Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento · University of Lisbon

   Affiliation as printed

   IST/INESC-ID, University of Lisbon,Lisbon,Portugal

   IST/INESC-ID, University of Lisbon, Lisbon, Portugal