On the Spectral Efficiency and Energy Efficiency of the Cloud Radio Access Network Architecture

Simple item page
atmire.migration.oldid5960
dc.contributor.advisorFapojuwo, Abraham O.
dc.contributor.advisorGhannouchi, Fadhel M.
dc.contributor.authorGhods, Fatemeh
dc.contributor.committeememberBehjat, Laleh
dc.contributor.committeememberDimitrov, Vassil
dc.contributor.committeememberPahlevani, Majid
dc.contributor.committeememberHafez, Roshdy
dc.date.accessioned2017-09-14T19:39:21Z
dc.date.available2017-09-14T19:39:21Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractProviding support for high consumer data traffic and maintaining high system efficiency are key requirements of the fifth generation (5G) wireless network design. The high costs associated with the widespread installation of the network base stations (BSs) and spectrum acquisition makes them impractical for accommodating the high traffic load. What is more, the continuous operation of the BSs also has a significant consequence in causing elevated levels of carbon dioxide (CO2) emissions. To meet the key requirements of high spectral efficiency (SE), maintain low levels of cost, and high energy efficiency (EE), cloud-radio access network (cloud-RAN) has been proposed as a promising architectural solution. Moreover, new waveforms (e.g., fillter bank multicarrier (FBMC)) have been suggested as alternatives to the traditional orthogonal frequency division multiplexing (OFDM) to satisfy the astounding growth in the traffic load. This thesis aims to enhance capacity and reduce the network power consumption. First, the effect of cooperative transmission in combination with the cloud-RAN architecture on network-level achievable data rate along with EE and SE is studied. Mathematical tools from stochastic geometry are utilized, to analytically characterize SE and EE. Moreover, the ability to increase the power savings is investigated by incorporating a tunable downlink distance-based fractional power control (D-FPC) mechanism into the cloud-RAN architecture. Using tools from stochastic geometry, the network-level coverage probability and EE are examined. Second, the throughput reliability/SE/EE of a cloud-RAN incorporating the D-FPC mechanism along with cooperative joint transmissions is analyzed by adopting a stochastic geometry-based approach. Lastly, taking into account feasibility of two-fold data rate improvement within FBMC waveform, this thesis studies and experimentally examines FBMC waveform to evaluate this new waveform and compares it with OFDM waveform. Moreover, the linearity requirements of power amplifier (PA) using memoryless and memory polynomial digital predistortion (DPD) techniques are also examined through a very nonlinear PA (Doherty) and a moderately linear PA (Class AB) to explore the behavior of OFDM and FBMC signals. Overall, this thesis provides critical insights to the cloud-RAN system designer for selecting appropriate architectural approach and waveform to achieve desired performance regarding energy, spectral, and PA efficiency.en_US
dc.identifier.citationGhods, F. (2017). On the Spectral Efficiency and Energy Efficiency of the Cloud Radio Access Network Architecture (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27196en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27196
dc.identifier.urihttp://hdl.handle.net/11023/4104
dc.language.isoeng
dc.publisher.facultyGraduate Studies
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.subjectEngineering--Electronics and Electrical
dc.titleOn the Spectral Efficiency and Energy Efficiency of the Cloud Radio Access Network Architecture
dc.typedoctoral thesis
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
Files
Collections
Open Theses and Dissertations