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Wireless system design: NB-IoT downlink simulator
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The newly defined NB-IoT standard currently lacks a toolkit and simulator. In order to develop algorithms for this new standard there is a need for channels and signals as reference during tests. MATLAB is commonly used for testing LTE signals and therefore the toolkit was developed in this environment. The toolkit focuses primarily on the Layer 1-relevant functionality of NB-IoT, the grid generation, encoding, rate-matching and modulation of channels. The simulator focuses on testing the developed toolkit in a virtual LTE NB-IoT environment. The virtual environment attempts to emulate a base station and a terminal. The path followed is scheduling, channel processing, grid generation, QPSK and OFDM modulation through a modeled channel, OFDM demodulation, channel estimation, equalisation, QPSK demodulation and reversal of channel processing. The simulator tests primarily the NPDSCH channel implementations. Measurements of bit error and block error rates were made and it was concluded that they follow the expected trends. More testing is required to validate the remaining channels. A sector equaliser and an interpolating equaliser were tested by measuring block error rate and checking constellation diagrams and it was concluded that the performance of the interpolation equaliser is more consistent. In order to improve the equalisation further the noise estimation must be reworked.

Place, publisher, year, edition, pages
2017. , p. 77
Series
UPTEC F, ISSN 1401-5757 ; 17013
Keyword [en]
nb-iot, lte, lte-a, downlink, simulator, wireless
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:uu:diva-317877OAI: oai:DiVA.org:uu-317877DiVA, id: diva2:1083434
External cooperation
Mistbase AB
Educational program
Master Programme in Engineering Physics
Supervisors
Examiners
Available from: 2017-03-21 Created: 2017-03-21 Last updated: 2017-03-21Bibliographically approved

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NB IoT Downlink Simulator(3971 kB)634 downloads
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30b0cfb48eef219fb62f9cd80372d20389749083f2d4056e2e8c935b1b71daa77e2c9dcbd97da74a052500c311a6507829b37c7ebc07871729b561e83bd9653e
Type fulltextMimetype application/pdf

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