Fast Data-Driven Sensitivity Measurement for Wireless Receivers

Xu Wang, Yuan Ma, Zhi Quan, Weisheng Tang, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Receiver sensitivity is one of the most important performance metrics in communication systems. Industry has been using exhaustive search in a specified range to identify the sensitivity of a receiver. However, such an exhaustive search is neither efficient in terms of measurement time, nor accurate due to the fixed step-size. In this paper, a data-driven approach is proposed to measure the receiver sensitivity based on a dynamic linearization representation of a time-varying pseudo-gradient parameter estimation procedure. Unlike the model-based approach, the proposed data-driven approach is dependent only on the input and output measurement data. In addition, we derive the minimum number of test packets needed to satisfy the desired confidence level for packet error rate estimation. By adapting the number of test packets, we are able to further reduce the measurement time. Numerical analyses and experimental results show that the proposed data-driven sensitivity measurement can achieve good estimation performance as well as reduce measurement time.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680889
StatePublished - May 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: May 20 2019May 24 2019

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Conference2019 IEEE International Conference on Communications, ICC 2019

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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