Body Area Networks: Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings

Research Article

Channel Gain for a Wrist-to-Arm Scenario in the 55–65 GHz Frequency Band

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  • @INPROCEEDINGS{10.1007/978-3-030-34833-5_26,
        author={Arno Thielens and Reza Aminzadeh and Luc Martens and Wout Joseph and Jan Rabaey},
        title={Channel Gain for a Wrist-to-Arm Scenario in the 55--65 GHz Frequency Band},
        proceedings={Body Area Networks:  Smart IoT and Big Data for Intelligent Health Management. 14th EAI International Conference, BODYNETS 2019, Florence, Italy, October 2-3, 2019, Proceedings},
        proceedings_a={BODYNETS},
        year={2019},
        month={11},
        keywords={Body Area Networks 5G communication mm-wave propagation},
        doi={10.1007/978-3-030-34833-5_26}
    }
    
  • Arno Thielens
    Reza Aminzadeh
    Luc Martens
    Wout Joseph
    Jan Rabaey
    Year: 2019
    Channel Gain for a Wrist-to-Arm Scenario in the 55–65 GHz Frequency Band
    BODYNETS
    Springer
    DOI: 10.1007/978-3-030-34833-5_26
Arno Thielens,*, Reza Aminzadeh1,*, Luc Martens1, Wout Joseph1, Jan Rabaey2
  • 1: Ghent University, IMEC
  • 2: University of California Berkeley
*Contact email: arno.thielens@ugent.be, reza.aminzadeh@ugent.be

Abstract

Wireless communication on the body is expected to become more important in the future. This communication will in certain scenarios benefit from higher frequencies of operation and their associated smaller antennas and potentially higher bandwidths. One of these scenarios is communication between a wristband and wearable sensors on the arm. In order to investigate the feasibility of such a scenario, propagation at 55–65 GHz along the arm is measured for two configurations. First, for increasing separation distances along the arm, and second for a transmitter is rotationally placed around the wrist. Two channel gain models are fitted to the data and used to obtain a channel gain exponent in the first configuration and loss per angle of rotation in the second configuration. These models are relevant inputs for the design of future wearable wireless systems.