{"created":"2025-06-12T00:18:36.122136+00:00","id":2000341,"links":{},"metadata":{"_buckets":{"deposit":"a55242c2-89ab-4147-8965-5bffa54d9b01"},"_deposit":{"created_by":20,"id":"2000341","owner":"20","owners":[20],"pid":{"revision_id":0,"type":"depid","value":"2000341"},"status":"published"},"_oai":{"id":"oai:muroran-it.repo.nii.ac.jp:02000341","sets":["41:227"]},"author_link":[],"item_81_date_granted_17":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2025-03-24"}]},"item_81_degree_grantor_10":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_language":"ja","subitem_degreegrantor_name":"室蘭工業大学"},{"subitem_degreegrantor_language":"en","subitem_degreegrantor_name":"Muroran Institute of Technology"}],"subitem_degreegrantor_identifier":[{"subitem_degreegrantor_identifier_name":"10103","subitem_degreegrantor_identifier_scheme":"kakenhi"}]}]},"item_81_degree_name_11":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士（工学）","subitem_degreename_language":"ja"}]},"item_81_description_7":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"6G 通信の新しいパラダイムとして、再構成可能なインテリジェントサーフェス\n（Reconfigurable Intelligent Surface, RIS）は、電磁波を動的に制御できる優れた特性\nを備えており、産業界と学術界の両方から大きな注目を集めています。さらに、ユーザー中\n心型ネットワークは、個々のモバイルデバイスの要件を満たすためにネットワークリソー\nスを個別に割り当てることを重視しており、将来のモバイル通信および関連するサービス\n提供の方向性を示しています。この特性により、RIS はユーザー中心型6G ネットワークシ\nステムの進化において重要な役割を果たすことが期待されています。しかし、これらのシス\nテムにRIS を組み込み、ユーザーの要件を満たすように調整することは、未解決の課題とし\nて残されています。したがって、本論文は、ユーザー中心型6G ネットワークをRIS で実現\nするビジョンを提供することを目的としており、特にカスタマイズ可能で持続可能な通信\nをユーザー中心型6G に提供する方法に焦点を当てています。\n本論文では、さまざまなRIS 支援型ワイヤレス通信シナリオにおいて、3 つの主要なタスク\nが提案されています。最初のタスクでは、ネットワークカバレッジを最大化し、さまざまな\n環境で一貫したユーザー体験を確保するために、RIS の配置を最適化することに焦点を当て\nています。RIS を戦略的に配置することで、カバレッジ率を向上させ、ユーザーの位置に関\n係なくシームレスな接続を提供できます。第2 のタスクは、リソース利用効率を向上させる\nために、ユーザーの需要に基づいてRIS のビームフォーミング方向を最適化することを目\n的としています。リアルタイムのトラフィック予測を活用することで、RIS ユニットは構成\nを動的に調整し、静的および移動シナリオのユーザーに効率的でターゲットを絞った通信\nを提供します。最後に、第3 のタスクは、適応的なRIS ビームフォーミングを通じて、モバ\nイルユーザーのユーザー体験品質（Quality of Experience, QoE）を最適化するという課題\nに取り組んでいます。このタスクは2 つの部分に分かれています。第1 の部分では、VR（仮\n想現実）シナリオに焦点を当て、RIS を使用してビームフォーミングを動的に調整し、VR 環\n境内を移動するユーザーの高いQoE を維持します。第2 の部分では、IoRT（Internet of\nRobotic Things）シナリオに焦点を当て、ロボットデバイスが複雑な環境を移動する際に信\n頼性の高い通信と効果的な制御を確保するためにRIS を使用します。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"As a new paradigm for 6G communications, reconfigurable intelligent surface (RIS)\nhas admirable properties that enable the dynamic control of electromagnetic waves,\nthereby attracting significant attention from both industry and academia. Moreover,\nthe user-centric network highlights the personalized allocation of network\nresources to meet the requirements of each individual mobile device, which sheds\nlight on future mobile transmission and the corresponding service delivery. Due to\nthis characteristic, RIS is expected to play a crucial role in the evolution of\nuser-centric 6G network systems. However, tailoring RIS into these systems to meet\nuser requirements is still an open challenge. Therefore, this dissertation aims to\nprovide a vision of realizing user-centric 6G network with RIS, specifically\nfocusing on how to provide customizable and sustainable communication for a usercentric\n6G.\nIn this dissertation, three major tasks are proposed on the various RIS-assisted\nwireless communication scenarios. The first task focuses on optimizing RIS\ndeployment to maximize network coverage and ensure a consistent user experience\nacross various environments. By strategically placing RISs, we can enhance coverage\nrate and provide seamless connectivity to users regardless of their locations. The\nsecond task aims at optimizing RIS beamforming directions based on user demands to\nenhance resource utilization efficiency. By leveraging real-time traffic\nprediction, RIS units can dynamically adjust their configurations to match user\nneeds, providing efficient and targeted communication for users in static and\nmobile scenarios. Finally, the third task addresses the challenge of user mobility\nby optimizing Quality of Experience (QoE) for mobile users through adaptive RIS\nbeamforming. This task is divided into two parts. The first part focuses on virtual\nreality (VR) scenarios, where RIS is used to dynamically adjust beamforming to\nmaintain high QoE for users moving within VR environments. The second part focuses\non the Internet of Robotic Things (IoRT) scenarios, where RIS is employed to ensure\nreliable communication and effective control of robotic devices as they navigate\nthrough complex environments.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_81_dissertation_number_13":{"attribute_name":"学位授与番号","attribute_value_mlt":[{"subitem_dissertationnumber":"甲第545号"}]},"item_81_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.15118/0002000341","subitem_identifier_reg_type":"JaLC"}]},"item_81_text_12":{"attribute_name":"学位の種別","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"課程博士"}]},"item_81_text_14":{"attribute_name":"報告番号","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"甲第545号"}]},"item_81_text_15":{"attribute_name":"学位記番号","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"博甲第545号"}]},"item_81_text_16":{"attribute_name":"研究科・専攻","attribute_value_mlt":[{"subitem_text_language":"ja","subitem_text_value":"工学研究科"}]},"item_81_version_type_24":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNames":[{"affiliationName":"室蘭工業大学","affiliationNameLang":"ja"},{"affiliationName":"Muroran Institute of Technology","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"JIALE, SHU","creatorNameLang":"en"}],"familyNames":[{"familyName":"JIALE","familyNameLang":"en"}],"givenNames":[{"givenName":"SHU","givenNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2025-06-12"}],"filename":"A545.pdf","filesize":[{"value":"3.9 MB"}],"format":"application/pdf","url":{"objectType":"fulltext","url":"https://muroran-it.repo.nii.ac.jp/record/2000341/files/A545.pdf"},"version_id":"44846ccd-7dc8-4a29-8a27-223ef2a5a9e5"},{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2025-06-12"}],"filename":"A545_summary.pdf","filesize":[{"value":"107 KB"}],"format":"application/pdf","url":{"objectType":"abstract","url":"https://muroran-it.repo.nii.ac.jp/record/2000341/files/A545_summary.pdf"},"version_id":"912d15f2-4aaf-43cb-bcaf-1d041878963d"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_title":"Design and Optimization of User-centric 6G Networks with Reconfigurable Intelligent Surfaces","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Design and Optimization of User-centric 6G Networks with Reconfigurable Intelligent Surfaces","subitem_title_language":"en"},{"subitem_title":"再構成可能なインテリジェントサーフェスによるユーザ中心の６G ネットワークの設計と最適化","subitem_title_language":"ja"}]},"item_type_id":"81","owner":"20","path":["227"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-12"},"publish_date":"2025-06-12","publish_status":"0","recid":"2000341","relation_version_is_last":true,"title":["Design and Optimization of User-centric 6G Networks with Reconfigurable Intelligent Surfaces"],"weko_creator_id":"20","weko_shared_id":-1},"updated":"2025-06-12T00:25:03.700536+00:00"}