With the increasing expectation of the next generation mobile communication network, 5G networks are continuously evolving to meet the requirements of future applications related to cellular operations, the Internet of Things security, and network challenges. The fluctuating two-ray (FTR) fading model is a versatile model that well characterizes the small-scale fading effects on the wireless propagation in millimeter wave (mmWave) environment, and is a prominent candidate to cover all the possible scenarios for future broadband wireless communication system. Therefore, the parameter estimation of FTR model has attracted growing attention of researchers.

To this demand, researchers from the Institute of Acoustics of the Chinese Academy of Sciences (IACAS), together with Italian colleagues, devised a novel estimation procedure for FTR model parameters. By calculating the higher-order moments of the observed data, they transformed the parameter estimation problem into the problem of solving 4 × 4 nonlinear equations. They precisely designed a sequential procedure based on prior information about the diffusive component power level to solve it.

Digital simulation results showed the new estimation method had robust estimation performance in complex multipath environment, and the parameter estimation accuracy was significantly improved with the increase of observation data (Figure 1, Figure 2). The analysis results of measured mmWave data also verified the effectiveness of the new method (Figure 3).

Figure 1. The normalized root mean square errors (NRMSE) versus the number of samples N. (Image by IACAS)

Figure 2. The mean estimate (ME) versus the number of samples N. (Image by IACAS)

Figure 3. The empirical cumulative density functions (ECDFs) of the received signal amplitude for a line of sight (LoS) and a non-line of sight (NLoS) scenario of measured data. (Image by IACAS)

Possible future works might concern additional tests of the proposed algorithm on real recorded data, as well as the extension of the proposed framework to more complicated signal models, as for instance an FTR model with different fluctuations experienced by the two rays.

This work, published in the international journal IEEE Transactions on Vehicular Technology, was partially supported by the National Natural Science Foundation of China (No.61971412, No.61701490). 

Reference:

SHI Bo, Pallotta Luca, Giunta Gaetano, HAO Chengpeng, and Orlando Danilo. Parameter Estimation of Fluctuating Two-Ray Model for Next Generation Mobile Communications. IEEE Transactions on Vehicular Technology, 2020, PP (99):1-1. DOI:10.1109/TVT.2020.2999549.

Contact:

ZHOU Wenjia

Institute of Acoustics, Chinese Academy of Sciences, 100190 Beijing, China

E-mail: media@mail.ioa.ac.cn