{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/703"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/703","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Cooperative relay beamforming design for multi-cluster relay interference networks","abstract":"In this work, we consider a multi-cluster amplified-and-forward (AF) relay interference network and design relay beam matrix for each cluster to maximize the minimum signal-to-interference-and-noise ratio (SINR) at destinations subject to the relay power budget within each cluster. Both single and multiple source-destination (S-D) pair scenarios are considered. We propose a beam matrix structured as a weighted sum of two types of beam matrices: zero forcing (ZF) beam matrix for inter-cluster interference suppression, and another beam matrix for beamforming gain maximization within a cluster. Maximum ratio combing (MRC) and minimal mean square error (MMSE) are chosen to design the second beam matrix in single and multiple S-D pair scenarios, respectively. The optimal solution for each type of beam matrix is obtained in closed form. We then obtain the optimal weights to each type of beam matrix by transforming the max-min SINR problem and solving it via the SDR approach. Compared with applying the direct SDR approach to the original problem, our solution offers similar performance with significantly lower computational complexity. In addition, our proposed structured beam matrix clearly reveals the power shift between interference suppression among clusters and beamforming gain maximization within the cluster as the distance among clusters or the size of clusters changes.","abstract_html":"In this work, we consider a multi-cluster amplified-and-forward (AF) relay interference network and design relay beam matrix for each cluster to maximize the minimum signal-to-interference-and-noise ratio (SINR) at destinations subject to the relay power budget within each cluster. Both single and multiple source-destination (S-D) pair scenarios are considered. We propose a beam matrix structured as a weighted sum of two types of beam matrices: zero forcing (ZF) beam matrix for inter-cluster interference suppression, and another beam matrix for beamforming gain maximization within a cluster. Maximum ratio combing (MRC) and minimal mean square error (MMSE) are chosen to design the second beam matrix in single and multiple S-D pair scenarios, respectively. The optimal solution for each type of beam matrix is obtained in closed form. We then obtain the optimal weights to each type of beam matrix by transforming the max-min SINR problem and solving it via the SDR approach. Compared with applying the direct SDR approach to the original problem, our solution offers similar performance with significantly lower computational complexity. In addition, our proposed structured beam matrix clearly reveals the power shift between interference suppression among clusters and beamforming gain maximization within the cluster as the distance among clusters or the size of clusters changes.","abstract_has_math":false,"creators":["Yang, Zilong"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Dong, Min"],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-08-01","date_published":"2016-08-01","updated_at":"2026-07-24T05:35:43Z","subjects":["Relay beamforming","Multi-cluster relay networks","Relay interference","Complexity"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/703","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Dong, Min"]},{"key":"dc:creator","label":"Author","values":["Yang, Zilong"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2016-12-19T19:44:03Z","2022-03-29T16:34:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2016-12-19T19:44:03Z","2022-03-29T16:34:00Z"]},{"key":"dc:date.issued","label":"Date","values":["2016-08-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Relay beamforming","Multi-cluster relay networks","Relay interference","Complexity"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/703"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["In this work, we consider a multi-cluster amplified-and-forward (AF) relay interference network and design relay beam matrix for each cluster to maximize the minimum signal-to-interference-and-noise ratio (SINR) at destinations subject to the relay power budget within each cluster. Both single and multiple source-destination (S-D) pair scenarios are considered. We propose a beam matrix structured as a weighted sum of two types of beam matrices: zero forcing (ZF) beam matrix for inter-cluster interference suppression, and another beam matrix for beamforming gain maximization within a cluster. Maximum ratio combing (MRC) and minimal mean square error (MMSE) are chosen to design the second beam matrix in single and multiple S-D pair scenarios, respectively. The optimal solution for each type of beam matrix is obtained in closed form. We then obtain the optimal weights to each type of beam matrix by transforming the max-min SINR problem and solving it via the SDR approach. Compared with applying the direct SDR approach to the original problem, our solution offers similar performance with significantly lower computational complexity. In addition, our proposed structured beam matrix clearly reveals the power shift between interference suppression among clusters and beamforming gain maximization within the cluster as the distance among clusters or the size of clusters changes."]},{"key":"dc:title","label":"Title","values":["Cooperative relay beamforming design for multi-cluster relay interference networks"]}]}],"canonical_facts":{"dc:contributor.advisor":["Dong, Min"],"dc:creator":["Yang, Zilong"],"dc:date.accessioned":["2016-12-19T19:44:03Z","2022-03-29T16:34:00Z"],"dc:date.available":["2016-12-19T19:44:03Z","2022-03-29T16:34:00Z"],"dc:date.issued":["2016-08-01"],"dc:description.abstract":["In this work, we consider a multi-cluster amplified-and-forward (AF) relay interference network and design relay beam matrix for each cluster to maximize the minimum signal-to-interference-and-noise ratio (SINR) at destinations subject to the relay power budget within each cluster. Both single and multiple source-destination (S-D) pair scenarios are considered. We propose a beam matrix structured as a weighted sum of two types of beam matrices: zero forcing (ZF) beam matrix for inter-cluster interference suppression, and another beam matrix for beamforming gain maximization within a cluster. Maximum ratio combing (MRC) and minimal mean square error (MMSE) are chosen to design the second beam matrix in single and multiple S-D pair scenarios, respectively. The optimal solution for each type of beam matrix is obtained in closed form. We then obtain the optimal weights to each type of beam matrix by transforming the max-min SINR problem and solving it via the SDR approach. Compared with applying the direct SDR approach to the original problem, our solution offers similar performance with significantly lower computational complexity. In addition, our proposed structured beam matrix clearly reveals the power shift between interference suppression among clusters and beamforming gain maximization within the cluster as the distance among clusters or the size of clusters changes."],"dc:identifier.uri":["https://hdl.handle.net/10155/703"],"dc:language.iso":["en"],"dc:subject":["Relay beamforming","Multi-cluster relay networks","Relay interference","Complexity"],"dc:title":["Cooperative relay beamforming design for multi-cluster relay interference networks"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:43Z"}