Improving the performance of distributed antenna systems using multi-pair computation schemes
department or school: Applied Science, Faculty of
department or school: Engineering, School of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Hasabel Naby, Mahmoud
issued: 2024-12-18T08:00:00Z
issued: 2023
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: The rapid evolution of wireless communication networks demands evolved radio access network (RAN) architectures that can support massive connectivity and deliver high data rates. Collaborative signal processing, as seen in distributed antenna systems (DAS), is a promising approach, demonstrated by paradigms like Cloud RAN (C-RAN), Fog RAN (F-RAN), Cell-Free Massive MIMO (CF-mMIMO), and Open RAN (O-RAN). However, the effectiveness of DAS networks is constrained by the limited capacity of fronthaul links, connecting distributed antenna terminals to the central processing unit (CPU). This calls for the development of advanced signal processing and relaying techniques for efficient utilization of fronthaul links in both uplink and downlink transmissions. This dissertation makes a significant contribution by introducing a novel end-to-end multi-pair two-way computation paradigm tailored for DAS. It advocates a joint design approach for uplink and downlink transmissions, taking into consideration the source-destination message information. This idea is demonstrated in this dissertation through a pairwise message exchange paradigm among communicating users in the DAS, emphasizing the optimization of end-to-end spectral and energy efficiency. A lattice-based computation approach is adopted, wherein each antenna terminal quantizes its observed signal and transmits it to the CPU. The CPU decodes integer linear combinations of paired users' codewords, rather than linear combinations of individual codewords. The computed signals are then beamformed, compressed, and forwarded to the distributed antenna terminals, which subsequently decompress and transmit them to the users. This approach is applied in various scenarios, including C-RAN with intra-cloud communications and combined intra and inter-cloud scenarios, assuming perfect channel state information (CSI) and considering both real and complex-valued channel models. To address sensitivity to CSI estimation errors, a robust e…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/87043
note: Improving the Performance ofDistributed Antenna SystemsUsing Multi-Pair ComputationSchemesbyMahmoud Hasabel NabyB.Sc. Hons., Menoufia University, 2014M.Sc., Menoufia University, 2019A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFDOCTOR OF PHILOSOPHYinTHE COLLEGE OF GRADUATE STUDIES(Electrical Engineering)THE UNIVERSITY OF BRITISH COLUMBIA(Okanagan)December 2023© Mahmoud Hasabel Naby, 2023The following individuals certify that they have read, and recommend to theCollege of Graduate Studies for acceptance, a dissertation entitled:Improving the Performance of Distributed Antenna Systems UsingMulti-Pair Computation Schemessubmitted by Mahmoud Hasabel Naby in partial fulfilment of the requirementsof the degree of Doctor of PhilosophyDr. Anas Chaaban, School of EngineeringSupervisorDr. Stephen O’Leary, School of EngineeringSupervisory Committee MemberDr. Jahangir Hossain, School of EngineeringSupervisory Committee MemberDr. Mahmudur Fatmi, School of EngineeringUniversity ExaminerDr. Halim Yanikomeroglu, Carleton UniversityExternal ExamineriiAbstractThe rapid evolution of wireless communication networks demands evolved radioaccess network (RAN) architectures that can support massive connectivity and de-liver high data rates. Collaborative signal processing, as seen in distributed antennasystems (DAS), is a promising approach, demonstrated by paradigms like CloudRAN (C-RAN), Fog RAN (F-RAN), Cell-Free Massive MIMO (CF-mMIMO), andOpen RAN (O-RAN). However, the effectiveness of DAS networks is constrained bythe limited capacity of fronthaul links, connecting distributed antenna terminals tothe central processing unit (CPU). This calls for the development of advanced signalprocessing and relaying techniques for efficient utilization of fronthaul links in bothuplink and downlink transmissions.This dissertation makes a significant contribution by introducing a novel end-to-end multi-pair two-way computation paradigm tailored for DAS. It advoc…
has type: Thesis/Dissertation
date issued: 2024-02
is shown at: 10.14288/1.0438350
language: eng
degree discipline: Electrical Engineering
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Chaaban, Anas
type: Text
identifier URI: http://hdl.handle.net/2429/87043