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Industrial Scenario using LTE Cellular Network

Owondo, Anthony LU and Blouchi, Javad (2019) EITM02 20191
Department of Electrical and Information Technology
Abstract
This Thesis project used an event-based simulation tool written in MATLAB that modelled a factory scenario. Multiple base stations and a varying number of nodes were modelled. The nodes send data to the base stations and the simulation tool calculates the SINR of the received data and uses this SINR to model a probability of error. Latency statistics were then created using the time it took for the data generated to be received correctly at the base station.
The aim of this master’s thesis work was to investigate the performance of an industrial scenario implementation of LTE. Data was generated periodically at the sensors and a scheduling request was sent to the base stations which in turn, according to LTE allocation standards,... (More)
This Thesis project used an event-based simulation tool written in MATLAB that modelled a factory scenario. Multiple base stations and a varying number of nodes were modelled. The nodes send data to the base stations and the simulation tool calculates the SINR of the received data and uses this SINR to model a probability of error. Latency statistics were then created using the time it took for the data generated to be received correctly at the base station.
The aim of this master’s thesis work was to investigate the performance of an industrial scenario implementation of LTE. Data was generated periodically at the sensors and a scheduling request was sent to the base stations which in turn, according to LTE allocation standards, scheduled resources to the nodes in time and frequency. Link adaptation was performed by the eNodeBs whereby the modulation scheme and coding rate of the error correction was adjusted depending on the quality of the radio link.
Power control was then implemented to adjust the output power at all the nodes so that their respective received powers at the base station were the same. Simulations were done with the aim of optimizing the link adaptation and scheduling to determine which users to serve and how much resources to allocate to them. (Less)
Please use this url to cite or link to this publication:
author
Owondo, Anthony LU and Blouchi, Javad
supervisor
organization
course
EITM02 20191
year
type
H2 - Master's Degree (Two Years)
subject
report number
LU/LTH-EIT 2019-707
language
English
id
8987798
date added to LUP
2019-06-25 12:57:56
date last changed
2019-06-25 12:57:56
@misc{8987798,
  abstract     = {{This Thesis project used an event-based simulation tool written in MATLAB that modelled a factory scenario. Multiple base stations and a varying number of nodes were modelled. The nodes send data to the base stations and the simulation tool calculates the SINR of the received data and uses this SINR to model a probability of error. Latency statistics were then created using the time it took for the data generated to be received correctly at the base station.
 The aim of this master’s thesis work was to investigate the performance of an industrial scenario implementation of LTE. Data was generated periodically at the sensors and a scheduling request was sent to the base stations which in turn, according to LTE allocation standards, scheduled resources to the nodes in time and frequency. Link adaptation was performed by the eNodeBs whereby the modulation scheme and coding rate of the error correction was adjusted depending on the quality of the radio link.
 Power control was then implemented to adjust the output power at all the nodes so that their respective received powers at the base station were the same. Simulations were done with the aim of optimizing the link adaptation and scheduling to determine which users to serve and how much resources to allocate to them.}},
  author       = {{Owondo, Anthony and Blouchi, Javad}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Industrial Scenario using LTE Cellular Network}},
  year         = {{2019}},
}