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Application of NOMA for Mobile High Definition Images
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
2021 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The telecommunications technology has been developed tremendously as there has been an ever-increasing demand for more speed and reliability. The enormous increase in the number of smart phones and other data consuming devices, combined with the development of enhanced multimedia applications has resulted in a dramatic increase in the volume of mobile data traffic. In order to accommodate the growing needs, it is required to utilise the spectrum efficiently.

The design of radio access technology plays an important role in the aspect of system performance. These radio access technologies are typically characterised by the multiple-access techniques used. Non-Orthogonal Multiple Access (NOMA) is a multiple access scheme proposed for 5G and it utilises the power domain which was not sufficiently utilised in the previous systems.       

This thesis work is mainly focused on the performance analysis of the NOMA technique in mobile media (images). This analysis is achieved by transmitting a high definition image at various power levels to two users who are located at two different distances from the base station. The images are transmitted through suitable noise channels. An analysis is done on how NOMA copes with the users having poor channel conditions. The performance is analysed by comparing the output images at both the receivers based on the structural similarity index and bit error rate parameters. 

Place, publisher, year, edition, pages
2021.
Keywords [en]
5G, Bit Error Rate, High Definition Images, Non-Orthogonal Multiple Access, Performance Assesment, Structural Similarity Index.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-21940OAI: oai:DiVA.org:bth-21940DiVA, id: diva2:1577461
Subject / course
ET2572 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Radio communication
Educational program
ETARX Master of Science Programme in Electrical Engineering with emphasis on Radio Communication
Supervisors
Examiners
Available from: 2021-07-05 Created: 2021-07-02 Last updated: 2021-07-05Bibliographically approved

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Application of NOMA for Mobile - High Definition Images(13458 kB)299 downloads
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Type fulltextMimetype application/pdf

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Electrical Engineering, Electronic Engineering, Information Engineering

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