2. Hala Esawi Hana Masri Shorouq Abu Assab Supervised by: Dr.Yousef Dama
5G Propagation Models
Prepared by:
Hala Esawi Hana Masri Shorouq Abu Assab
Supervised by: Dr.Yousef Dama
Are empirical mathematical formulations to charechterize how radio waves behaves as a function of frequency ,surrounding environment and distance
It is a mathematical formulation for the characterization of radio wave propagation as a function of frequency, distance and other conditions.

3. Outlines Introduction Objective Model Description
Methodology, Results and Discussion
Conclusion
Recommendation

4. Objective
To build up an indoor propagation model for the 5G communication with a mathematical representation.

5. Introduction
Indoor radio channel differs from traditional mobile radio channel in two aspects:
distances covered are much smaller
variability of the environment is greater for a much smaller range of T-R separation distances
Propagation within building is strongly affected by:
layout of the building
construction materials
building type
The radio propagation mechanism are the same But the codituion are much more variable
Higher environmental variability for smaller T-R separation
It is strongly influenced by specific features :

6. Model Description
The analysis for this study was carried out on a m * m indoor floor at Faculty of Engineering and Geology, An-Najah National University, Nablus. The objects defined to represent the buildings include concrete walls, floors and ceilings, with height approximately 3m.
The model was built up using Wireless InSite.
The red square lines represent the receiver’s rout with each point showing the specific location of the receiver at a given time
The green rectangular points represent the transmitting base stations (BTS).
A site specific model uses a 3D presentation for the environment whether it is indoor or outdoor plans with ray-tracing based on the propagation model, and it is accurate for the modelled situation.
Deterministic model.
Is a graphical method to calculate the path taken by the radio waves through a given environment .it involves taking into account the rays arriving at the receiver after reflecting from all possible reflecting surfaces

7. 3D Indoor Environment Model with Txs and Rxs locations

8. Parameters Specifications
Value
Half Wave Dipole Antenna
2 dBi
Transmitted Power
0 dBm
Receiver Sensitivity
250 dBm
Transmitter Height
2 m
Receiver Height
1.5 m

9. Materials specifications
No. dielectric layer
Material
Permittivity
Conductivity
Thickness 1
Concrete-in
7.000
0.220 m
Concrete-out
15.000
0.350 m
Brick
4.440
0.125 m 3
Drywall (front)
2.800 m
Air
0.0000
0.089 m
Drywall (back)

10. Methodology, Results and Discussion
Path loss VS distance
Wall factor and materials calculation
Simulated data and rule equation
Grid Model
Validating our results
Clustering
We started our work by finding the distance between each transmitter and receivers, then we plotted the simulation results as path loss against distance (log), we choose the following samples Tx1-Rx1, Tx2-Rx1, Tx5-Rx1, we apply linear regression to get a best fit for the data points as illustrated in the following figures:

11. Where: L(v) = clutter loss (dB) d = Tx/Rx separation (m)
Where:
L(v) = clutter loss (dB)
d = Tx/Rx separation (m)
n = signal decay rate
f = attenuation per floor
k = number of floors traversed
w = attenuation per wall
p = number of walls traversed
Clutter loss : is partly made up of the signal attenuation due to the surrounding environment.
1728 : 38+20log(d) 864: 32+20log d)

12. Path loss VS distance
Path loss strength for Tx1 and Rx5

13. Wall factor and materials calculation
To get the best fitting to reality, we create a simple study model containing only a transmitter and a receiver, 1 meter away from each other surrounded with concrete walls
Then we make different trials by adding a wall between them each time with specific type of material as shown below:

15. Simulated data and rule equation
By applying a lot of trials through changing n and clutter value in order to get the final equation
Path loss strength for Tx1 and Rx1

16. Path loss strength for Tx2 and Rx1

17. Path loss strength for Tx5 and Rx1

19. Grid model

20. Path Loss Strength for Tx2 and Rx1

21. Validating our results
Path Loss Strength for Tx1 and Rx1 at 900MHz

22. Path Loss Strength for Tx1 and Rx1 at 50GHz

23. Clustering
clustering representation (time, power and angle of arrival)
Representation for Tx5 and Rx1_number88

24. Conclusion

25. Recommendation In future, we hope to cover the other two scenarios:
Indoor-Outdoor
Outdoor-Indoor