Market demands for WLAN solutions supporting high throughput and low latency applications have led to the development of Integrated mmWave (IMMW). This project focuses on integrating the mmwave band with sub-7GHz links to overcome range, mobility, and reliability challenges. IMMW aims to harmonize d

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The unofficial translation of selected contents from the Japan MIC's frequency realignment action plan details objectives related to IoT/WLAN, progress of unlicensed spectrum allocation, WRC-23 related updates, and plans for further advancement of WLAN, including bands utilization and technical cons

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The paper discusses using machine learning to classify IEEE channel models and improve WLAN performance. It demonstrates how neural networks can accurately classify channel types, leading to efficient beamforming and signal processing. Simulation results show the classification performance even at l

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Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

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The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

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IEEE 802.11-23/0677r0 explores various backhaul options for WLAN, emphasizing Fiber to the Room (FTTR) technology based on Passive Optical Network (PON) for enhancing the performance of multi-AP coordinated next-gen Wi-Fi UHR. The document discusses wired and wireless backhaul connections, including

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This technical document delves into the implementation of Target Wake Time (TWT) in wireless local area networks (WLAN) for efficient power management in sensing devices. It explores the significance of TWT in minimizing contention among stations, reducing power consumption, and optimizing wake sche

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This presentation by Rui Du from Huawei discusses the design of sequences for WLAN sensing in IEEE 802.11 standards. It covers topics such as existing sequences, analysis of sequences, ambiguity functions, Golay sequences, and properties adopted for communication sequence design.

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Discussion on the next generation WLAN direction from a network operator's viewpoint, focusing on the integration of Wi-Fi and 6G mobile wireless to enable various use cases. Emphasis on B2B applications, proposed use cases in WNG SC for the post-be era, Wi-Fi markets for B2B growth, and inclusion o

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This document by Solomon Trainin from Qualcomm presents a proposal on aligning the SFD for the WLAN sensing procedure. It aims to resolve contradictions, optimize behavior, and introduce a structured WLAN sensing procedure. The content outlines phases, terminology, setup, measurement, and reporting

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The January 2019 document IEEE 802.11-19/0080r0 explores integrating radar functions into WLAN to enhance coexistence. The proposal outlines various options, including modified schemes and dedicated indication methods for radar operation within WLAN frameworks. It emphasizes the need for feedback on

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This document discusses the integration of WLAN access as another RAT in the 5G System architecture, emphasizing the progression from 3GPP Release 15 to Release 17. Key points include unified authentication frameworks, QoS provision in managed WLAN, traffic steering mechanisms, and the convergence o

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Proposal for utilizing public Wi-Fi infrastructure in India for emergency communication, focusing on early alerts for natural and man-made disasters. Discusses the limitations of cellular communication and suggests using IEEE 802.11 WLAN technology to enhance communication in critical situations.

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

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Radar and CSI have been proposed as potential WLAN sensing techniques. This document focuses on passive radar at 5 GHz in indoor scenarios, discussing background, experimental results, signal processing techniques, and potential impacts on WLAN standards.

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The document discusses the importance of layered Quality of Service (QoS) and multi-layer transmission in meeting the high throughput and real-time requirements of metaverse applications over WLAN. It emphasizes the need for enhanced throughput, reliability, reduced latency, and improved power effic

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The document discusses use cases for Wireless LAN (WLAN) sensing in home environments, focusing on the connection between multiple access points and home appliances for enhanced performance. It outlines scenarios such as gesture-controlled home appliance operation, user identification for personaliz

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The document presents discussions on minimizing impact as a design goal within the IEEE 802.11-21/0391r0 context, emphasizing the efficiency related to the impact of sensing on network performance. It addresses the current status, constraints, design options, and thoughts regarding WLAN sensing with

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Evaluation metrics play a crucial role in assessing WLAN system performance and achieving the objectives of High Efficiency WLAN (HEW). This proposal by Yonggang Fang et al. from ZTE outlines the key evaluation metrics recommended for evaluating HEW performance, including area throughput, average th

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CSMA/CA mechanism in IEEE 802.11 is efficient for low-density WLAN deployment but lacks effectiveness in high-density scenarios. This submission suggests improving spectrum efficiency by shifting contention in the code domain. The aim is to address the performance and user experience in dense deploy

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Submission on design criteria for Long Range, Low Power (LRLP) in WLAN systems aiming to enhance transmission reliability and range while ensuring compatibility with existing WLAN networks. The key technical components include ultra-low power consumption, communication range extension, and coexisten

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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This research project explores the development of a hybrid intrusion detection system for IEEE 802.11 wireless networks. The study includes research objectives, background information, experimental results, evaluation, and comparison of existing systems, HWIDS design, conclusions, future work, and r

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The document discusses objections to a technical report on WLAN/5G interworking within the IEEE 802.11 Working Group, highlighting inaccuracies and lack of detail. Rejected comments point out misunderstandings and shortcomings in defining interworking functionalities between WLAN and 5G as per 3GPP

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The document discusses the need for data offloading from cellular networks to WLAN in connected vehicles to address overwhelmed cellular capacity and reduce costs. It highlights the challenges and gaps in current standards like IEEE 802.11u, emphasizing the importance of Wi-Fi infrastructure for con

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The market for connected vehicles is rapidly growing, leading to increased data consumption. This document highlights the importance of offloading data from cellular networks to WLAN in connected vehicles. Current solutions like 802.11u are insufficient, necessitating new standards to address the ch

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This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

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This document presents potential enhancements to IEEE 802.11 standards to improve in-device coexistence for WLAN devices. It addresses the challenges of coexistence events caused by interactions with other Wi-Fi and non-Wi-Fi devices, proposing solutions for handling these issues efficiently. The fo

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This submission delves into the operation procedures of AMP devices in WLAN setups, focusing on energy harvesting techniques for various power sources like solar and RF. It details the operation procedures for devices with and without energy storage, highlighting configurations for day and night use

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This presentation discusses the variability in dynamic CCA performance in WLANs and proposes a protocol control mechanism to maximize benefits and minimize drawbacks. It emphasizes the need for an effective control to navigate differing configurations and achieve system throughput improvements witho

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This document discusses the integration of automotive-related scenarios into IEEE 802.11ax simulation scenarios, focusing on the use of high-speed WLAN in vehicles, particularly during traffic jams. The characteristics, requirements, and challenges of establishing a data link in traffic congestion s

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In this document, the authors from Huawei discuss the analysis of employing the ambiguity function for WLAN sensing sequence design. They delve into the ambiguity function's definition, analysis, and its comparison with the range-Doppler map. The document highlights the importance of ambiguity funct

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Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

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Review of discussions on AP coordination in WNG sessions and EHT SG/TGbe meetings, proposing advancements for future WLAN technology. Emphasis on the importance of prioritizing AP coordination to address various WLAN objectives effectively. Details on AP coordination subtypes and their impact on rel

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Discussing the importance of data offload using WLAN in connected vehicles, highlighting the gap between current IEEE standards and the requirements for efficient data transfer. Emphasizing the need for fast association, seamless handover, and optimized algorithms for connected vehicle cases, with e

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This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

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Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

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This document delves into the latency issues in WLAN transmission, focusing on channel occupancy and access problems that contribute to delays. It discusses the objectives of the UHR Study Group in enhancing WLAN reliability, reducing latencies, managing throughput, and minimizing power consumption.

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