For the development of new 5G systems to operate in mm bands, there is a need for accurate radio propagation modelling at these bands. In this paper novel approach for NLOS channels parameter estimation will be presented. Estimation will be performed based on LCR performance measure, which will enable us to estimate propagation parameters in real time and to avoid weaknesses of ML and moment method estimation approaches.
Exploitation of unused mm wave spectrum (spectrum between 6 and 300 GHz) is an efficient solution for meeting the standards for 5G networks enormous data demand growth explosion. Because of that characterization and modelling of such channel propagation in urban environments is one of most important tasks in developing novel 5G mobile access networks. Many propagation studies, performed at these bands, for these types of applications, consider line-of-sight (LOS) scenarios [
One of the most intensively used statistical models for characterizing the complex behavior and random nature of NLOS fading envelope is the Nakagami-
Various power estimation techniques have been implemented over years with some advantages and disadvantages. Accurate estimation of the average power of received fading signal is crucial for many reasons. Namely, power control and hand-off decisions in wireless communications are mainly based on the accurate estimation of the average signal power. Wireless communication link quality is also indicated through some system criterion measures, such as channel access, hand-off, and power control, that can be determined mainly based on the local mean signal levels. For example, the fading signal power could be estimated by using (38) from [
Let
JPDF can be expressed through the PDF of Nakagami-
After substituting (
In order to determine value of parameter
In Table
Comparison between parameter
|
1 | 1.25 | 1.5 | 1.75 | 2 | 2.25 | 2.5 | 2.75 | 3 |
---|---|---|---|---|---|---|---|---|---|
|
1.071 | 1.2403 | 1.506 | 1.7507 | 2.009 | 2.2509 | 2.518 | 2.7712 | 3.0121 |
Comparison between parameter
|
1 | 1.25 | 1.5 | 1.75 | 2 | 2.25 | 2.5 | 2.75 | 3 |
---|---|---|---|---|---|---|---|---|---|
|
1.038 | 1.2462 | 1.5042 | 1.7503 | 2.003 | 2.2509 | 2.512 | 2.7683 | 3.0117 |
Absolute error of parameter estimation.
By using proposed method Nakagami
Novel approach for Nakagami
The authors declare that they have no conflicts of interest.
This work has been supported by Project III44406.