TY - JOUR
T1 - A survey on estimation schemes in molecular communications
AU - Huang, Xinyu
AU - Fang, Yuting
AU - Yang, Nan
N1 - Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2022/5
Y1 - 2022/5
N2 - This survey paper focuses on the estimation schemes in molecular communication (MC) systems. The existing studies in estimation schemes can be divided into parameter estimation (e.g., distance, diffusion coefficient, and flow velocity) and channel estimation. In this paper, we present, for the first time, a comprehensive survey on i) distance estimation, since distance is the most widely estimated parameter in current studies, ii) estimation of other parameters (i.e., the parameters excluding distance), and iii) channel estimation that focuses on the channel impulse response (CIR). Moreover, we examine the noise that may impact on the estimation performance and the metrics applied to evaluate the performance of different estimation schemes. Numerical results are provided to compare the performance of different distance estimation schemes. In addition, future research directions in parameter estimation and channel estimation are identified and discussed.
AB - This survey paper focuses on the estimation schemes in molecular communication (MC) systems. The existing studies in estimation schemes can be divided into parameter estimation (e.g., distance, diffusion coefficient, and flow velocity) and channel estimation. In this paper, we present, for the first time, a comprehensive survey on i) distance estimation, since distance is the most widely estimated parameter in current studies, ii) estimation of other parameters (i.e., the parameters excluding distance), and iii) channel estimation that focuses on the channel impulse response (CIR). Moreover, we examine the noise that may impact on the estimation performance and the metrics applied to evaluate the performance of different estimation schemes. Numerical results are provided to compare the performance of different distance estimation schemes. In addition, future research directions in parameter estimation and channel estimation are identified and discussed.
KW - Channel estimation
KW - Molecular communication
KW - Parameter estimation
KW - Statistical model
UR - http://www.scopus.com/inward/record.url?scp=85111283276&partnerID=8YFLogxK
U2 - 10.1016/j.dsp.2021.103163
DO - 10.1016/j.dsp.2021.103163
M3 - Article
SN - 1051-2004
VL - 124
JO - Digital Signal Processing: A Review Journal
JF - Digital Signal Processing: A Review Journal
M1 - 103163
ER -