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Channel gain for a wrist-to-arm scenario in the 55-65 GHz frequency band

Arno Thielens (UGent) , Reza Aminzadeh (UGent) , Luc Martens (UGent) , Wout Joseph (UGent) and Jan Rabaey
(2019) BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019. In Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering 297. p.349-359
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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.
Keywords
Body Area Networks, 5G communication, mm-wave propagation

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MLA
Thielens, Arno, et al. “Channel Gain for a Wrist-to-Arm Scenario in the 55-65 GHz Frequency Band.” BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019, vol. 297, Springer, 2019, pp. 349–59, doi:10.1007/978-3-030-34833-5_26.
APA
Thielens, A., Aminzadeh, R., Martens, L., Joseph, W., & Rabaey, J. (2019). Channel gain for a wrist-to-arm scenario in the 55-65 GHz frequency band. BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019, 297, 349–359. https://doi.org/10.1007/978-3-030-34833-5_26
Chicago author-date
Thielens, Arno, Reza Aminzadeh, Luc Martens, Wout Joseph, and Jan Rabaey. 2019. “Channel Gain for a Wrist-to-Arm Scenario in the 55-65 GHz Frequency Band.” In BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019, 297:349–59. Springer. https://doi.org/10.1007/978-3-030-34833-5_26.
Chicago author-date (all authors)
Thielens, Arno, Reza Aminzadeh, Luc Martens, Wout Joseph, and Jan Rabaey. 2019. “Channel Gain for a Wrist-to-Arm Scenario in the 55-65 GHz Frequency Band.” In BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019, 297:349–359. Springer. doi:10.1007/978-3-030-34833-5_26.
Vancouver
1.
Thielens A, Aminzadeh R, Martens L, Joseph W, Rabaey J. Channel gain for a wrist-to-arm scenario in the 55-65 GHz frequency band. In: BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019. Springer; 2019. p. 349–59.
IEEE
[1]
A. Thielens, R. Aminzadeh, L. Martens, W. Joseph, and J. Rabaey, “Channel gain for a wrist-to-arm scenario in the 55-65 GHz frequency band,” in BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019, Firenze, Italy, 2019, vol. 297, pp. 349–359.
@inproceedings{8636368,
  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.}},
  author       = {{Thielens, Arno and Aminzadeh, Reza and Martens, Luc and Joseph, Wout and Rabaey, Jan}},
  booktitle    = {{BODY AREA NETWORKS: SMART IOT AND BIG DATA FOR INTELLIGENT HEALTH MANAGEMENT, BODYNETS 2019}},
  isbn         = {{9783030348328}},
  issn         = {{1867-8211}},
  keywords     = {{Body Area Networks,5G communication,mm-wave propagation}},
  language     = {{eng}},
  location     = {{Firenze, Italy}},
  pages        = {{349--359}},
  publisher    = {{Springer}},
  title        = {{Channel gain for a wrist-to-arm scenario in the 55-65 GHz frequency band}},
  url          = {{http://doi.org/10.1007/978-3-030-34833-5_26}},
  volume       = {{297}},
  year         = {{2019}},
}
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