Big Data Analysis in RF and LTE environments

1. Big Data Analytics in Radio Frequency
Systems
Presented by Dr. Edwin Hernandez
7/13/2017 – @edwinhm

2. Who am I?
Dr. Edwin Hernandez has a PhD in Computer
Engineering from the University of Florida with
10 issued patents and publications. His
expertise is on wireless communications,
media, and emulation/simulation.
He has been working on Mobile Computing since
1999 and in simulations that include the NS-2 and
the RAMON emulator both generation massive
amounts of data.
His experience in Big data spans from the days prior to
the conception of the name and distributed computing
was used to solve the same problem
2

3. Powered by Stadson Tech
Introduction
•The Radio Frequency Problem (RF)
•Mobile CDS – Simulation Platform for RF
•Multidimensional Problem
• Databases are not necessarily RDBMS
• Geo-referencing
• Geocoding (Latitude and Longitue) – GPS
• RF signal being propagagted
•Big data analysis

4. The RF Propagation Problem
They suffer path loss due to trees,
Buildings, cars, our hands
Some other signals, Reflect
Signals propagate, some diffract

5. Proliferation of Devices and Devices and more…
Proper dimensioning of networks, devices, is key
RF is more complex with 4G and
Even more with 5G
Millions of iPhones, Androids, iOT

6. RF Simulator - MobileCDS

7. Solution: RF Simulator
Database of buildings, depends on physical
coordinates
Needs to manage, physical properties of an RF
Signal wave.
Needs to handle, thousands, if not millions
of independent rays

8. Mobile CDS – The Software
Software and Source Code in C/C++ - Visual Studio
Ray Tracing and Simulation Models.
6
-PTX 1 watt (+30 dBm)
-Fc 5.0 GHz
-TX ants. Half-wave dipole
-HTXd 0.75 meters
(on the roof of
the vehicle)
-RX ant. Half wave dipole
-HRX 0.5 meters
-Area Outdoor/indoor
PRX
(dBm)

9. 9
OUR BACKGROUND
Mobile CDS or Mobile Computer Deterministic Simulator is an RF Propagation
and Simulation Environment that was created after many years of R&D in the
areas of electromagnetics and mobile communications. Mobile CDS is a copyright
software package created by S.O.L Wireless, LLC and now represented by EGLA
COMMUNICATIONS. This tools is the result of several years of R&D conducted by
S.O.L Engineers.
EGLA COMMUNICATIONS uses Mobile CDS, provides hosting in its cloud
environment, and integrates its simulation RF paremeters with MobileCAD.
MobileCAD is a wireless emulation patented tool (7231330) that generates LTE /
Smart Cities Simulation environments with base stations and mobile phones with
RF Characterization created by MobileCDS

10. Mobile-CDS includes a state of the art 3D
databases toolbox. It allows the user to
perform the following operations:
o Import 3D databases in one of the
following formats; Facet, KML and TIN.
o Combine terrain and 3D objects (buildings,
vehicles, trees, etc.).
o Crop a section of the 3D databases.
o Assign different electrical properties to
different objects included in the databases.
o Delete specific objects.
o Duplicate databases
3D Databases

11. Propagation in 3D Database
11
Vehicles on the street Propagating rays

12. Keyhole Markup Language (KML) is an XML notation for expressing geographic annotation and visualization
within Internet-based, two-dimensional maps and three-dimensional Earth browsers. KML was developed for
use with Google Earth, which was originally named Keyhole Earth Viewer.
KML

13. Unstructured Database
13
o Polygons for all buildings
o Rays created from all the antennas in
multiple directions
o Database of results of the simulation
o Receivers located at x,y,z positons for a the
rays to hit

14. Database of all signals in all directions
o X,Y,X coordinates and power
o Simulate antenna and antenna
propagation
o Unstructured Database
Signal Database

15. Models
o Inaccurate
o Useless for 3D
o High Error
Propagation Models are 2D/Probabilistic

16. WiFi and IOT – Same Situation

17. MultiDimensionality
Models
o Positons, Polygons, Materials : Builidngs
o Electromagnetic fields: Energy, speed,
delay, direction, pathloss, defracted,
reflected
o Receiver and LTE Protocol: Bit rate, Signal
Level, Error, Delay

18. Big DATA – First Analysis
Analysis of multiple trends,
Receivers and millions of results
Big Data, needs to aggregate values from all
Antennas. MapReduce signals per sector,
Hadoop, massivley distributed cluster
Generates signaling and average power received
Output file Lat, Long or X,Y with PathLoss,
RMS Delay, Number of Rays

19. Methods and Algorithms

20. LTE SIMULATION RESULTS (DATA RATE ANALYSIS)

21. Parameter Value
Wireless Protocol LTE
TX frequency
(MHz)
2110
TX total average
power (dBm)
44.8
Htx (meters) 15
TX antenna
pattern
18.0 dBi, 4-sectorS 60
degrees pattern
TX Losses 6.0 dB
Hrx (meters) 2.0
RX antenna
pattern
Ideal half-wave dipole
RX antenna
efficiency (%)
50
Diversity gain (dB) 3
Propagation
Environment
Heavily populated
urban
LTE Throughput Simulation Parameters
Note: The simulation is representative of the coverage generated by a
single base station. Co-Channel interference is not included in the
simulation results.Receivers On
Horizontal Plane
3D Buildings
LTE Protocol Specifications
Mehtods and Algorithms : LTE Simulation Sample

22. Big Data : Extraction Transformation, Loading, Massive CSV files with RF

23. • Tools
• Visual Studio C/C++ for RayTracing Simulation
• Python
• Hadoop – Parallel Cluster
• MapReduce – Could be done in AMAZON WEB SERVICES
• OpenCL (GPU is better for ray simulation) – Like a video game
• “Open Computing Language (OpenCL) is a framework for writing programs that execute across heterogeneous platforms consisting of
central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs)
and other processors or hardware accelerators.
Big Data Analysis Required
Observations
• Simulations can be done at multiple frequencies
from 100MHz to 100GHz or higher depending on
CPUs/GPUs

24. RF : Parallelize with Hadoop/OpenCL
Big Data, required to parallelize, extract transform and create
Data for each field on the map, x,y,z determine from all the rays
RSSI value or Signal Strengh, RMS Delay, Field, etc for all antennas
In the simulation
All the Rays contain metadata, Electric Field, direction,
Intersection with Polygon KML database (Buildings)

25. Parallelize with Hadoop
• Tools
• Python-based Tools
• Process the TXT/SV files
• Windows C/C++ OpenCL

26. Parallelize with Hadoop/Analysis of the Protocol
Analyse a huge matrix of <AntennaiD, x,y,z,RSSI, RMS Delay, BER, etc>
All points in the map then need to map to a certain protocol 4G/LTE

27. Parallelize with Hadoop/GlusterFS
• Tools
• Python-based Tools
• GlusterFS insteadl HDFS
• Process the TXT/CSV files

28. Parameter Value
Delay Spread (ns) 1185.0
Coherence BW (MHz) 0.84
Doppler Spread (Hz) 98
Coherence Time (ms) 10.3
28
Radar Simulation Parameters
Note: Results in the Value column
represent the 50%.
More DATA: MONO-STATIC RADAR SIMULATION RESULTS

29. Advanced Simulations - mmW

30. Advanced Simulations - In Building

31. OLTP
Transactional aspects of intersections and aggregations
All the schema generated for the simulation
Propagation Modelling, Insert, Update , Delete,

32. OLAP
Best signal locations in the map
Bit rate at different positons
Propagation report, RSSI, RMS Delay Report,

33. Areas to Improve
Machine Learning
Data mining, filling gaps from real drive test
Use it for better handover protocols

34. Contact Us
www.edwinhernandez.com | www.eglacomm.net | www.mediamplify.com
561.869.4446
© 2017 – All rights reserved – Patents : 9,071,957, 9,338,629
Thanks for your attention,
Q&A
@edwinhm | edwinhernandez.com
Mobile CDS is a software created by S.O.L Wireless, LLC