Please use this identifier to cite or link to this item: https://etd.cput.ac.za/handle/20.500.11838/3545
DC FieldValueLanguage
dc.contributor.advisorBalyan, Vipin, Dren_US
dc.contributor.authorPress, Rifqahen_US
dc.date.accessioned2022-05-10T10:22:42Z-
dc.date.available2022-05-10T10:22:42Z-
dc.date.issued2021-
dc.identifier.urihttp://hdl.handle.net/20.500.11838/3545-
dc.descriptionThesis (MEng (Electrical Engineering))--Cape Peninsula University of Technology, 2021en_US
dc.description.abstractMobile communication systems face power consumption issues, specifically multiple input multiple output (MIMO) systems, due to the vast number of antennas. Research shows the movement towards greener mobile communications, whereby utilising more energy-efficient systems. This research aims to design and develop an approach to improve the power allocation of a broadcast MIMO system. A literature review highlights the current power allocation schemes advantages and disadvantages of said schemes. Analysis shows the effectiveness of current schemes and the design of a new power allocation approach to fill the gap in the current scheme. The implementation of non-orthogonal multiple acess (NOMA) into a broadcast MIMO system significantly improves the system’s energy and spectral efficiency. A power allocation algorithm is implemented into a NOMA-based relay system, where relays aid cell-edge users. The cell center users connect directly to the base station, whereas the cell edge users connect via relay. The user equipment (UEs) and relays successfully employ successive interference cancellation (SIC) to cancel and decode unintended signals. Outage probability and ergodic rate simulations show the effectiveness of the power allocation scheme, where user fairness is also considered. Energy harvesting relays are a step closer to greener communications, where the relays harvest energy from the received signal and utilises the harvested energy to forward the signals to the connected users. Simulation results show improvements in the outage probability of the users.en_US
dc.language.isoenen_US
dc.publisherCape Peninsula University of Technologyen_US
dc.subjectMIMO systemsen_US
dc.subjectMobile communication systemsen_US
dc.subjectWireless communication systemsen_US
dc.titlePower allocation for multiple input multiple output systemsen_US
dc.typeThesisen_US
Appears in Collections:Electrical, Electronic and Computer Engineering - Master's Degree
Files in This Item:
File Description SizeFormat 
Rifqah_Press_207177783.pdf4.21 MBAdobe PDFView/Open
Show simple item record

Page view(s)

320
Last Week
0
Last month
8
checked on Nov 17, 2024

Download(s)

93
checked on Nov 17, 2024

Google ScholarTM

Check


Items in Digital Knowledge are protected by copyright, with all rights reserved, unless otherwise indicated.