{"id":{"repo_id":"unsw","oai_identifier":"oai:unsworks.library.unsw.edu.au:1959.4/107242"},"canonical_url":"https://search.dev.ndltd.org/etd/unsw/oai:unsworks.library.unsw.edu.au:1959.4/107242","repository":{"repo_id":"unsw","name":"University of New South Wales","base_url":"https://unsworks.unsw.edu.au/oai/provider"},"display":{"title":"Optimal Hybrid MIMO Beamforming Designs for Energy-Efficient Communication Systems","abstract":"The rapid expansion of wireless networks has resulted in spectrum sharing among many connected devices, creating challenges in interference management and increasing energy consumption, which further worsens the carbon footprint. In this context, hybrid multiple-input multiple-output (MIMO) beamforming designs emerge as a crucial solution for achieving energy-efficient communication systems. These designs leverage low-complexity, low-cost, and low-power applications, primarily due to the use of analog components, making hybrid MIMO a practical alternative to fully digital architectures. This thesis presents optimal hybrid MIMO beamforming designs as a key strategy to enhance energy efficiency in communication systems. The technical chapters are structured to address three critical aspects of hybrid beamforming. The first chapter focuses on energy-efficient hybrid beamforming design for near-field communication models, formulating the problem and deriving algorithms to optimize performance. The second chapter addresses the max-min throughput to solve the fairness problem in CAP-MIMO, integrating Electromagnetic Information Theory (EIT) as a theoretical framework that utilizes Green's functions to enable the MIMO models to achieve their full potential, specifically by providing a mathematical foundation that leverages Green's functions to accurately model the propagation of electromagnetic waves in complex environments, thereby optimizing the performance and efficiency of MIMO systems. This chapter also compares the performance of CAP-MIMO with space division multiple access (SDMA) and time division multiple access (TDMA) approaches. The third chapter presents the energy efficiency formulation for CAP-MIMO, also utilizing EIT, and analyzes simulation results to validate the proposed methodologies. Ultimately, this thesis emphasizes the significant role of hybrid beamforming designs in enhancing energy efficiency within communication systems. By addressing key challenges and leveraging advanced theoretical frameworks, the proposed hybrid MIMO solutions pave the way for sustainable advancements in wireless technology.","abstract_html":"The rapid expansion of wireless networks has resulted in spectrum sharing among many connected devices, creating challenges in interference management and increasing energy consumption, which further worsens the carbon footprint. In this context, hybrid multiple-input multiple-output (MIMO) beamforming designs emerge as a crucial solution for achieving energy-efficient communication systems. These designs leverage low-complexity, low-cost, and low-power applications, primarily due to the use of analog components, making hybrid MIMO a practical alternative to fully digital architectures. This thesis presents optimal hybrid MIMO beamforming designs as a key strategy to enhance energy efficiency in communication systems. The technical chapters are structured to address three critical aspects of hybrid beamforming. The first chapter focuses on energy-efficient hybrid beamforming design for near-field communication models, formulating the problem and deriving algorithms to optimize performance. The second chapter addresses the max-min throughput to solve the fairness problem in CAP-MIMO, integrating Electromagnetic Information Theory (EIT) as a theoretical framework that utilizes Green's functions to enable the MIMO models to achieve their full potential, specifically by providing a mathematical foundation that leverages Green's functions to accurately model the propagation of electromagnetic waves in complex environments, thereby optimizing the performance and efficiency of MIMO systems. This chapter also compares the performance of CAP-MIMO with space division multiple access (SDMA) and time division multiple access (TDMA) approaches. The third chapter presents the energy efficiency formulation for CAP-MIMO, also utilizing EIT, and analyzes simulation results to validate the proposed methodologies. Ultimately, this thesis emphasizes the significant role of hybrid beamforming designs in enhancing energy efficiency within communication systems. By addressing key challenges and leveraging advanced theoretical frameworks, the proposed hybrid MIMO solutions pave the way for sustainable advancements in wireless technology.","abstract_has_math":false,"creators":["Ni, Haoran"],"institution":"UNSW, Sydney","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2026,"date_issued":"2026","date_published":"2026","updated_at":"2026-07-24T05:34:19Z","subjects":["Energy Efficiency","Beamforming Design","MIMO System Design","6G","anzsrc-for: 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)"],"languages":["en"],"rights":["embargoed access","CC BY 4.0"],"rights_urls":["http://purl.org/coar/access_right/c_f1cf","https://creativecommons.org/licenses/by/4.0/"],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.26190/unsworks/32128"],"render_values":[{"text":"https://doi.org/10.26190/unsworks/32128","href":"https://doi.org/10.26190/unsworks/32128","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/1959.4/107242","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ni, Haoran"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2026"]},{"key":"dc:publisher","label":"Institution","values":["UNSW, Sydney"]},{"key":"dc:type","label":"Dc Type","values":["master thesis","http://purl.org/coar/resource_type/c_bdcc"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Energy Efficiency","Beamforming Design","MIMO System Design","6G","anzsrc-for: 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["embargoed access","http://purl.org/coar/access_right/c_f1cf","CC BY 4.0","https://creativecommons.org/licenses/by/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/1959.4/107242","https://doi.org/10.26190/unsworks/32128"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The rapid expansion of wireless networks has resulted in spectrum sharing among many connected devices, creating challenges in interference management and increasing energy consumption, which further worsens the carbon footprint. In this context, hybrid multiple-input multiple-output (MIMO) beamforming designs emerge as a crucial solution for achieving energy-efficient communication systems. These designs leverage low-complexity, low-cost, and low-power applications, primarily due to the use of analog components, making hybrid MIMO a practical alternative to fully digital architectures. This thesis presents optimal hybrid MIMO beamforming designs as a key strategy to enhance energy efficiency in communication systems. The technical chapters are structured to address three critical aspects of hybrid beamforming. The first chapter focuses on energy-efficient hybrid beamforming design for near-field communication models, formulating the problem and deriving algorithms to optimize performance. The second chapter addresses the max-min throughput to solve the fairness problem in CAP-MIMO, integrating Electromagnetic Information Theory (EIT) as a theoretical framework that utilizes Green's functions to enable the MIMO models to achieve their full potential, specifically by providing a mathematical foundation that leverages Green's functions to accurately model the propagation of electromagnetic waves in complex environments, thereby optimizing the performance and efficiency of MIMO systems. This chapter also compares the performance of CAP-MIMO with space division multiple access (SDMA) and time division multiple access (TDMA) approaches. The third chapter presents the energy efficiency formulation for CAP-MIMO, also utilizing EIT, and analyzes simulation results to validate the proposed methodologies. Ultimately, this thesis emphasizes the significant role of hybrid beamforming designs in enhancing energy efficiency within communication systems. By addressing key challenges and leveraging advanced theoretical frameworks, the proposed hybrid MIMO solutions pave the way for sustainable advancements in wireless technology."]},{"key":"dc:title","label":"Title","values":["Optimal Hybrid MIMO Beamforming Designs for Energy-Efficient Communication Systems"]}]}],"canonical_facts":{"dc:creator":["Ni, Haoran"],"dc:date":["2026"],"dc:description":["The rapid expansion of wireless networks has resulted in spectrum sharing among many connected devices, creating challenges in interference management and increasing energy consumption, which further worsens the carbon footprint. In this context, hybrid multiple-input multiple-output (MIMO) beamforming designs emerge as a crucial solution for achieving energy-efficient communication systems. These designs leverage low-complexity, low-cost, and low-power applications, primarily due to the use of analog components, making hybrid MIMO a practical alternative to fully digital architectures. This thesis presents optimal hybrid MIMO beamforming designs as a key strategy to enhance energy efficiency in communication systems. The technical chapters are structured to address three critical aspects of hybrid beamforming. The first chapter focuses on energy-efficient hybrid beamforming design for near-field communication models, formulating the problem and deriving algorithms to optimize performance. The second chapter addresses the max-min throughput to solve the fairness problem in CAP-MIMO, integrating Electromagnetic Information Theory (EIT) as a theoretical framework that utilizes Green's functions to enable the MIMO models to achieve their full potential, specifically by providing a mathematical foundation that leverages Green's functions to accurately model the propagation of electromagnetic waves in complex environments, thereby optimizing the performance and efficiency of MIMO systems. This chapter also compares the performance of CAP-MIMO with space division multiple access (SDMA) and time division multiple access (TDMA) approaches. The third chapter presents the energy efficiency formulation for CAP-MIMO, also utilizing EIT, and analyzes simulation results to validate the proposed methodologies. Ultimately, this thesis emphasizes the significant role of hybrid beamforming designs in enhancing energy efficiency within communication systems. By addressing key challenges and leveraging advanced theoretical frameworks, the proposed hybrid MIMO solutions pave the way for sustainable advancements in wireless technology."],"dc:identifier":["http://hdl.handle.net/1959.4/107242","https://doi.org/10.26190/unsworks/32128"],"dc:language":["en"],"dc:publisher":["UNSW, Sydney"],"dc:rights":["embargoed access","http://purl.org/coar/access_right/c_f1cf","CC BY 4.0","https://creativecommons.org/licenses/by/4.0/"],"dc:subject":["Energy Efficiency","Beamforming Design","MIMO System Design","6G","anzsrc-for: 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)"],"dc:title":["Optimal Hybrid MIMO Beamforming Designs for Energy-Efficient Communication Systems"],"dc:type":["master thesis","http://purl.org/coar/resource_type/c_bdcc"]},"updated_at":"2026-07-24T05:34:19Z"}