Efficient Digital Predistortion for Next-Generation Wireless Systems Using Optimization and Signal Processing Techniques

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dc.contributor.advisorGhannouchi, Fadhel M.
dc.contributor.advisorBehjat, Laleh
dc.contributor.authorAbdelhafiz, Abubaker Hassan Babiker
dc.contributor.committeememberWestwick, David T.
dc.contributor.committeememberHelaoui, Mohamed
dc.contributor.committeememberSesay, Abu B.
dc.contributor.committeememberEriksson, Thomas
dc.date2018-11
dc.date.accessioned2018-07-23T15:01:11Z
dc.date.available2018-07-23T15:01:11Z
dc.date.issued2018-07-16
dc.description.abstractAs consumers expect better and faster service and data-rates from wireless providers, the limits of existing wireless networks become more apparent. In response, the wireless communication industry steadily marches towards the next generation of network technology to meet this demand. The upcoming fifth generation (5G) of wireless networks promises connection speeds and data rates that are one hundred times faster than the existing networks, and vastly improved signal and connection quality. The path towards 5G however is not an easy one; as there are many significant challenges facing the design of radio frequency (RF) systems standing between the concepts of 5G, and its real-world implementation; such as the use of Massive Multiple-Input Multiple-Output systems, multi-band transmission and ultra-wideband signaling in the 5G standard. The move from the present fourth generation (4G) networks to 5G represents a fundamental paradigm shift in design methodology and theoretical concepts employed, which means that the current linearization and digital predistortion (DPD) techniques are not directly scalable to 5G. As such, a new generation of DPD methods suitable for the wireless networks of tomorrow and beyond is needed. The end goal of this thesis is to pave the road towards 5G by developing scalable and efficient DPD techniques applicable to 5G. This is achieved through approaching the three key aspects of 5G DPD and developing novel solutions for each: DPD model complexity reduction, MIMO DPD and multi-band DPD. Using mathematical knowledge, optimization techniques and signal processing methods, techniques for DPD complexity reduction, a scalable MIMO DPD that takes strong leakage between the different branches of MIMO transmitter into account, and a cost-effective technique for the mitigation of intermodulation distortion in multi-band systems are developed, and extensive measurements are performed to validate the theory for each of the various contributions. As a result, this work expands the horizon of knowledge in the three key areas of DPD research, and bringing the implementation of 5G RF one step closer to reality.en_US
dc.identifier.citationAbdelhafiz, A. H. B. (2018). Efficient Digital Predistortion for Next-Generation Wireless Systems Using Optimization and Signal Processing Techniques (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/32658en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/32658
dc.identifier.urihttp://hdl.handle.net/1880/107476
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultySchulich School of Engineering
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectdigital predistortion
dc.subjectpower amplifiers
dc.subjectfifth-generation wireless
dc.subjectMIMO
dc.subjectmulti-band
dc.subjectwireless transmitters
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.subject.classificationEngineering--System Scienceen_US
dc.titleEfficient Digital Predistortion for Next-Generation Wireless Systems Using Optimization and Signal Processing Techniques
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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