TY - GEN
T1 - Fast Data-Driven Sensitivity Measurement for Wireless Receivers
AU - Wang, Xu
AU - Ma, Yuan
AU - Quan, Zhi
AU - Tang, Weisheng
AU - Poor, H. Vincent
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85070208033&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85070208033&partnerID=8YFLogxK
U2 - 10.1109/ICC.2019.8761438
DO - 10.1109/ICC.2019.8761438
M3 - Conference contribution
AN - SCOPUS:85070208033
T3 - IEEE International Conference on Communications
BT - 2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Communications, ICC 2019
Y2 - 20 May 2019 through 24 May 2019
ER -