EP3845023A4 - Autorisation de personnalisation de réseau sans fil à l'aide d'une modélisation de zone de tolérance et analyse prédictive - Google Patents

Autorisation de personnalisation de réseau sans fil à l'aide d'une modélisation de zone de tolérance et analyse prédictive Download PDF

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Publication number
EP3845023A4
EP3845023A4 EP19856044.3A EP19856044A EP3845023A4 EP 3845023 A4 EP3845023 A4 EP 3845023A4 EP 19856044 A EP19856044 A EP 19856044A EP 3845023 A4 EP3845023 A4 EP 3845023A4
Authority
EP
European Patent Office
Prior art keywords
personalization
enabling
wireless network
predictive analysis
tolerance zone
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP19856044.3A
Other languages
German (de)
English (en)
Other versions
EP3845023A1 (fr
Inventor
Rawan ALKURD
Halim Yanikomeroglu
Ibrahim ABU ALHAOL
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Carleton University
Original Assignee
Carleton University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Carleton University filed Critical Carleton University
Publication of EP3845023A1 publication Critical patent/EP3845023A1/fr
Publication of EP3845023A4 publication Critical patent/EP3845023A4/fr
Withdrawn legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/16—Central resource management; Negotiation of resources or communication parameters, e.g. negotiating bandwidth or QoS [Quality of Service]
    • H04W28/24—Negotiating SLA [Service Level Agreement]; Negotiating QoS [Quality of Service]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/09—Supervised learning
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/54—Allocation or scheduling criteria for wireless resources based on quality criteria
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
    • H04W4/08—User group management

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Mobile Radio Communication Systems (AREA)
EP19856044.3A 2018-08-29 2019-08-29 Autorisation de personnalisation de réseau sans fil à l'aide d'une modélisation de zone de tolérance et analyse prédictive Withdrawn EP3845023A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201862724195P 2018-08-29 2018-08-29
PCT/CA2019/051197 WO2020041883A1 (fr) 2018-08-29 2019-08-29 Autorisation de personnalisation de réseau sans fil à l'aide d'une modélisation de zone de tolérance et analyse prédictive

Publications (2)

Publication Number Publication Date
EP3845023A1 EP3845023A1 (fr) 2021-07-07
EP3845023A4 true EP3845023A4 (fr) 2022-06-15

Family

ID=69644788

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19856044.3A Withdrawn EP3845023A4 (fr) 2018-08-29 2019-08-29 Autorisation de personnalisation de réseau sans fil à l'aide d'une modélisation de zone de tolérance et analyse prédictive

Country Status (3)

Country Link
EP (1) EP3845023A4 (fr)
CA (1) CA3111030A1 (fr)
WO (1) WO2020041883A1 (fr)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11736973B2 (en) 2018-08-29 2023-08-22 Carleton University Enabling wireless network personalization using zone of tolerance modeling and predictive analytics
CN111553482B (zh) * 2020-04-09 2023-08-08 哈尔滨工业大学 机器学习模型超参数的调优方法
CN112446097B (zh) * 2020-12-03 2023-08-29 武汉第二船舶设计研究所(中国船舶重工集团公司第七一九研究所) 一种蒸汽发生器体积和负荷的多目标优化方法
CN114004358B (zh) * 2021-12-29 2022-06-14 粤港澳大湾区数字经济研究院(福田) 一种深度学习模型训练方法
US20230251792A1 (en) * 2022-02-04 2023-08-10 Western Digital Technologies, Inc. Memory Device Based Accelerated Deep-Learning System
US12507038B2 (en) 2022-06-28 2025-12-23 T-Mobile Usa, Inc. Dynamic estimation of real-time distribution density of wireless devices using machine learning models
EP4569786A4 (fr) * 2022-08-10 2025-09-10 Rakuten Mobile Inc Système, procédé, dispositif et programme de gestion d'interface d'applications ai/ml sur des paramètres d'accès radio
EP4395257A1 (fr) * 2022-12-30 2024-07-03 Telefonica Innovacion Digital SL Procédé, système et programmes informatiques pour la priorisation de trafic de réseau dans un réseau cellulaire
CN117236788B (zh) * 2023-10-30 2024-03-26 水利部珠江水利委员会技术咨询(广州)有限公司 基于人工智能的水资源调度优化方法及系统
JP2025085485A (ja) * 2023-11-24 2025-06-05 株式会社日立製作所 計画分析方法及び計画分析システム
CN118863477B (zh) * 2024-09-24 2024-12-03 云南省地质科学研究所 利用三维建模可视化技术的资源动用量分析系统及方法
CN120034394B (zh) * 2025-04-18 2025-10-24 莱芜职业技术学院 一种基于人工智能的物联网设备隐患风险分析方法及系统

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US6775233B1 (en) * 1999-08-31 2004-08-10 Lucent Technologies Inc. Rate processor sharing method and apparatus for scheduling data transmissions in a CDMA wireless communication system
US6785227B1 (en) * 2000-05-11 2004-08-31 Lucent Technologies Inc. Method and apparatus for multi-layer resource management in wireless communications systems
WO2014089765A1 (fr) * 2012-12-12 2014-06-19 华为技术有限公司 Procédé, dispositif et système de planification de service et de contrôle de débit de transfert de service

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US7512545B2 (en) 2004-01-29 2009-03-31 At&T Intellectual Property I, L.P. Method, software and system for developing interactive call center agent personas
US8751305B2 (en) 2010-05-24 2014-06-10 140 Proof, Inc. Targeting users based on persona data
JP5320358B2 (ja) * 2010-08-24 2013-10-23 株式会社エヌ・ティ・ティ・ドコモ 無線通信システム、基地局および無線リソース割当方法
CN102662764B (zh) * 2012-04-25 2015-07-29 梁宏斌 一种基于smdp的动态云计算资源优化分配方法
CN102932308B (zh) * 2012-11-02 2016-07-27 重庆邮电大学 一种ofdm中继系统中混合业务场景调度方法及调度系统
WO2014127280A2 (fr) * 2013-02-14 2014-08-21 Huawei Technologies Co., Ltd. Système et procédé permettant une allocation de ressources de réseau prenant en compte l'expérience des utilisateurs, la satisfaction et l'intérêt de l'opérateur

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6775233B1 (en) * 1999-08-31 2004-08-10 Lucent Technologies Inc. Rate processor sharing method and apparatus for scheduling data transmissions in a CDMA wireless communication system
US6785227B1 (en) * 2000-05-11 2004-08-31 Lucent Technologies Inc. Method and apparatus for multi-layer resource management in wireless communications systems
WO2014089765A1 (fr) * 2012-12-12 2014-06-19 华为技术有限公司 Procédé, dispositif et système de planification de service et de contrôle de débit de transfert de service

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
See also references of WO2020041883A1 *
YAN JIANGZHOU ET AL: "Resource allocation and admission control based on flow congestion probability in MPLS networks", ADVANCED COMMUNICATION TECHNOLOGY, 2009. ICACT 2009. 11TH INTERNATIONAL CONFERENCE ON, GIRI, PISCATAWAY, NJ, USA, 15 February 2009 (2009-02-15), pages 694 - 697, XP031446199, ISBN: 978-89-5519-138-7 *

Also Published As

Publication number Publication date
CA3111030A1 (fr) 2020-03-05
WO2020041883A1 (fr) 2020-03-05
EP3845023A1 (fr) 2021-07-07

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