MX2023015445A - Metodo de acceso a canales y aparato relacionado. - Google Patents
Metodo de acceso a canales y aparato relacionado.Info
- Publication number
- MX2023015445A MX2023015445A MX2023015445A MX2023015445A MX2023015445A MX 2023015445 A MX2023015445 A MX 2023015445A MX 2023015445 A MX2023015445 A MX 2023015445A MX 2023015445 A MX2023015445 A MX 2023015445A MX 2023015445 A MX2023015445 A MX 2023015445A
- Authority
- MX
- Mexico
- Prior art keywords
- sta
- neural network
- action information
- training result
- channel access
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 3
- 238000013528 artificial neural network Methods 0.000 abstract 5
- 230000006399 behavior Effects 0.000 abstract 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access
- H04W74/08—Non-scheduled access, e.g. ALOHA
- H04W74/0808—Non-scheduled access, e.g. ALOHA using carrier sensing, e.g. carrier sense multiple access [CSMA]
- H04W74/0816—Non-scheduled access, e.g. ALOHA using carrier sensing, e.g. carrier sense multiple access [CSMA] with collision avoidance
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06N3/092—Reinforcement learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06N3/098—Distributed learning, e.g. federated learning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/08—Testing, supervising or monitoring using real traffic
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/0446—Resources in time domain, e.g. slots or frames
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access
- H04W74/08—Non-scheduled access, e.g. ALOHA
- H04W74/0808—Non-scheduled access, e.g. ALOHA using carrier sensing, e.g. carrier sense multiple access [CSMA]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W74/00—Wireless channel access
- H04W74/08—Non-scheduled access, e.g. ALOHA
- H04W74/0866—Non-scheduled access, e.g. ALOHA using a dedicated channel for access
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
Esta solicitud proporciona un método de acceso a canales y un aparato relacionado. En el método, un punto de acceso AP recibe información de acción comunicada por separado por N estaciones STA, donde N piezas de información de acción se utilizan para determinar un resultado de entrenamiento de una primera red neuronal de cada STA, y N es un número entero positivo. El AP determina el resultado del entrenamiento de la primera red neuronal de cada STA basándose en las N piezas de información de acción, y envía el resultado del entrenamiento de la primera red neuronal de cada STA a la STA correspondiente. El resultado del entrenamiento de la primera red neuronal de cada STA se determina basándose en la información de acción comunicada por las N STA, en lugar de basarse únicamente en la información de acción de la STA. Esto puede mejorar la capacidad de predicción de la primera red neuronal, ayudar a mejorar la capacidad de cada STA para predecir el comportamiento de acceso al canal de otro STA y mejorar el rendimiento del sistema y reducir la latencia de la comunicación.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110673131.6A CN115499936A (zh) | 2021-06-17 | 2021-06-17 | 一种信道接入方法及相关装置 |
PCT/CN2022/098741 WO2022262734A1 (zh) | 2021-06-17 | 2022-06-14 | 一种信道接入方法及相关装置 |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2023015445A true MX2023015445A (es) | 2024-05-09 |
Family
ID=84464281
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2023015445A MX2023015445A (es) | 2021-06-17 | 2022-06-14 | Metodo de acceso a canales y aparato relacionado. |
Country Status (9)
Country | Link |
---|---|
US (1) | US20240129758A1 (es) |
JP (1) | JP2024523041A (es) |
KR (1) | KR20240019357A (es) |
CN (1) | CN115499936A (es) |
AU (1) | AU2022294850A1 (es) |
BR (1) | BR112023026393A2 (es) |
CA (1) | CA3224511A1 (es) |
MX (1) | MX2023015445A (es) |
WO (1) | WO2022262734A1 (es) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116600324B (zh) * | 2023-07-12 | 2023-11-24 | 厦门大学 | 一种信道绑定WiFi网络的信道分配方法 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109660374B (zh) * | 2017-10-11 | 2020-07-31 | 北京邮电大学 | 一种基于智能时隙选择的信道接入方法 |
US10992331B2 (en) * | 2019-05-15 | 2021-04-27 | Huawei Technologies Co., Ltd. | Systems and methods for signaling for AI use by mobile stations in wireless networks |
EP3790303A1 (en) * | 2019-09-06 | 2021-03-10 | Imec VZW | Predicting a radio spectrum usage |
EP3826415B1 (en) * | 2019-11-25 | 2023-06-14 | Nokia Technologies Oy | Preamble detection in wireless network |
CN111867139B (zh) * | 2020-07-06 | 2022-03-01 | 上海交通大学 | 基于q学习的深度神经网络自适应退避策略实现方法及系统 |
-
2021
- 2021-06-17 CN CN202110673131.6A patent/CN115499936A/zh active Pending
-
2022
- 2022-06-14 MX MX2023015445A patent/MX2023015445A/es unknown
- 2022-06-14 KR KR1020247001198A patent/KR20240019357A/ko active Search and Examination
- 2022-06-14 WO PCT/CN2022/098741 patent/WO2022262734A1/zh active Application Filing
- 2022-06-14 CA CA3224511A patent/CA3224511A1/en active Pending
- 2022-06-14 JP JP2023577777A patent/JP2024523041A/ja active Pending
- 2022-06-14 BR BR112023026393A patent/BR112023026393A2/pt unknown
- 2022-06-14 AU AU2022294850A patent/AU2022294850A1/en active Pending
-
2023
- 2023-12-15 US US18/541,641 patent/US20240129758A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
KR20240019357A (ko) | 2024-02-14 |
US20240129758A1 (en) | 2024-04-18 |
BR112023026393A2 (pt) | 2024-03-05 |
CN115499936A (zh) | 2022-12-20 |
JP2024523041A (ja) | 2024-06-25 |
WO2022262734A1 (zh) | 2022-12-22 |
CA3224511A1 (en) | 2022-12-22 |
AU2022294850A1 (en) | 2024-01-18 |
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