2023 IEEE Wireless Communications and Networking Conference (WCNC)最新文献_第2页

A Novel 3D Non-Stationary Double-RIS-Assisted Channel Model for 6G Wireless Communication Systems 一种新的6G无线通信系统三维非稳态双ris辅助信道模型

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118719

Tianrun Qi, Y. Sun, Jie Huang, Chenghai Wang

引用次数: 0

ALSensing: Human Activity Recognition using WiFi based on Active Learning ALSensing:基于主动学习的WiFi人类活动识别

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119036

Guangzhi Zhao, Zhipeng Zhou, Yutao Huang, A. Nayak, Wei Gong, Haoquan Zhou

{"title":"ALSensing: Human Activity Recognition using WiFi based on Active Learning","authors":"Guangzhi Zhao, Zhipeng Zhou, Yutao Huang, A. Nayak, Wei Gong, Haoquan Zhou","doi":"10.1109/WCNC55385.2023.10119036","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119036","url":null,"abstract":"Over the past years, Human Activity Recognition (HAR) has shown its great value and has been further developed with the help of deep learning. However, existing HAR systems that use deep learning methods to achieve the ideal accuracy of recognition heavily rely on massive amounts of labeled training samples. Unfortunately, it requires considerable human effort and is unrealistic for real-life applications. In this paper, we propose a novel system, which combines active learning with WiFi-based HAR. The system is capable of building a good activities recognizer in HAR with a limited amount of labeled training samples. We thus call the system ALSensing. To the best of our knowledge, ALSensing is the first system to apply active learning to WiFi-based HAR. We implement ALSensing using commercial WiFi devices and evaluated it with realistic data in several different environments. Our experimental results show that ALSensing achieves 52.83% recognition accuracy using 3.7% training samples, 58.97% recognition accuracy using 15% training samples and the baseline predicted with the existing method achieves 62.19% recognition accuracy using 100% training samples. When the performance of ALSensing is similar to that of the baseline, the required labeled samples are much less than that of the baseline.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129786910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Experimental Study on Automatic Gain Control in HAPS Wireless Repeater System HAPS无线中继器自动增益控制的实验研究

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118653

Takuya Hasegawa, Mitsukuni Konishi, Y. Ohta, A. Nagate

{"title":"An Experimental Study on Automatic Gain Control in HAPS Wireless Repeater System","authors":"Takuya Hasegawa, Mitsukuni Konishi, Y. Ohta, A. Nagate","doi":"10.1109/WCNC55385.2023.10118653","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118653","url":null,"abstract":"A high-altitude platform station (HAPS) is a new mobile communication platform that directly provides mobile communication services such as fourth-generation long-term evolution (4G LTE) or fifth-generation new radio (5G NR) from the stratosphere to terrestrial user equipment (UE) by utilizing aircraft such as solar planes flying in the stratosphere. In this paper, we study on an automatic gain control (AGC) system for HAPS wireless repeater systems. We assume a repeater system, which uses different frequencies for the feeder and service links to avoid loop-back interference between the links. Measuring the receive power in the feeder link according to a known reference signal instead of the total receive power avoids fluctuations in the transmit power depending on the existence of traffic channels. We propose an AGC system for a HAPS system compatible with 5G NR, which enables the repeater to transmit at maximum power to maximize the coverage area regardless of changes in the propagation loss or polarization in the feeder link due to the flight of the HAPS aircraft. We conducted experiments to demonstrate the performance of the proposed AGC system.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128625323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Federated Learning for Online Resource Allocation in Mobile Edge Computing: A Deep Reinforcement Learning Approach 移动边缘计算中在线资源分配的联邦学习:一种深度强化学习方法

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118940

Jingjing Zheng, Kai Li, N. Mhaisen, Wei Ni, E. Tovar, M. Guizani

引用次数: 2

Generalised Space-Delay-Doppler Index Modulated OTFS Transmission 广义空间延迟-多普勒指数调制OTFS传输

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118595

Dan Feng, B. Bai, Fei Wan

引用次数: 0

A Light-weight Online Learning Framework for Network Traffic Abnormality Detection 一种轻量级的网络流量异常检测在线学习框架

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118849

Yitu Wang, Runqi Dong, T. Nakachi, Wei Wang

{"title":"A Light-weight Online Learning Framework for Network Traffic Abnormality Detection","authors":"Yitu Wang, Runqi Dong, T. Nakachi, Wei Wang","doi":"10.1109/WCNC55385.2023.10118849","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118849","url":null,"abstract":"Network traffic monitoring plays a crucial role in maintaining the security and reliability of the communication networks. Although Machine Learning (ML) assisted abnormal traffic detection has been emerged as a promising paradigm, the existing data-driven learning-based approaches are faced with challenges on inefficient traffic feature extraction and high computational complexity, especially when taking the evolving property of traffic process into consideration. To this end, we establish an online learning framework for abnormality traffic detection by embracing Gaussian Process (GP) and Sparse Representation (SR). The contributions of this paper are two-fold: 1). We utilize a special kernel, i.e., mixture of Gaussian, to better explore and exploit the evolving traffic characteristics, so as to more accurately model network traffic. 2). To combat noise and modeling error, we formulate a feature vector based on Kullback-Leibler (KL) divergence to measure the difference between normal and abnormal traffic, based on which SR is adopted to perform robust binary classification. Finally, we demonstrate the superiority of the proposed framework in terms of detection accuracy through simulation.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126883624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MDUcast: Multi-Device Uplink Uncoded Video Transmission in Internet of Video Things MDUcast:视频物联网中的多设备上行无编码视频传输

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119011

Qiaojia Lu, Hanchen Lu, Xinyu Yang, Feihong Chen

{"title":"MDUcast: Multi-Device Uplink Uncoded Video Transmission in Internet of Video Things","authors":"Qiaojia Lu, Hanchen Lu, Xinyu Yang, Feihong Chen","doi":"10.1109/WCNC55385.2023.10119011","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10119011","url":null,"abstract":"With the widely deployed video sensors, Internet of Video Things (IoVT) has emerged as a new paradigm of Internet of Things (IoT). Due to limited computing capacity of video sensors and multi-device wireless environments in IoVT, uplink video transmission faces challenges brought by complex coding and heterogeneous channel conditions. To combat these challenges, we propose a multi-device uplink uncoded video transmission scheme (MDUcast). Different from traditional encoded video transmission systems, MDUcast performs efficient linear operations instead of complex coding to reduce computing requirements on video sensors as well as guarantee the reconstructed video quality proportional to channel conditions in heterogenous environments. Furthermore, in MDUcast, an optimal power allocation strategy and a subcarrier scheduling algorithm based on matching theory are proposed to approach the near-optimal performance for multi-device uplink transmission, where both channel diversity and video content diversity are exploited. Simulation results demonstrate that MDUcast outperforms conventional Softcast and Parcast in terms of peak signal-to-noise ratio under various scenarios.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130590025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

IoT and Machine Learning Enabled Estimation of Health Indicators from Ambient Data 利用物联网和机器学习从环境数据中估计健康指标

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10119030

Cezar Anicai, Muhammad Zeeshan Shakir

引用次数: 0

Converged Service-based Architecture for Next-Generation Mobile Communication Networks 面向下一代移动通信网络的融合服务架构

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118793

K. Du, Luhan Wang, Zishen Zhu, Yunan Yan, X. Wen

{"title":"Converged Service-based Architecture for Next-Generation Mobile Communication Networks","authors":"K. Du, Luhan Wang, Zishen Zhu, Yunan Yan, X. Wen","doi":"10.1109/WCNC55385.2023.10118793","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118793","url":null,"abstract":"Software Defined Network (SDN) and Network Function Virtualization (NFV) technologies have driven mobile communication networks to evolve toward a Service-Based Architecture (SBA) with great flexibility to meet the highly-dynamic requirements of vertical applications. The SBA has been applied into 5th Generation (5G) core network and is evolving toward service-based end-to-end networks including virtualized Radio Access Networks (vRANs). This paper proposes a converged SBA (cSBA) to decouple access, control, and data planes. Specifically, the access plane with Distributed Units (DUs) functionalities is responsible for accessing User Equipments (UEs); the control plane consists of newly-defined converged services by integrating functionalities of Central Unit Control Planes (CU-CPs) and 5G core network for signaling processing; the data plane comprises Central Unit User Planes (CP-UPs) and User Plane Functions (UPFs), which are responsible for service data transmission. Optional converged services definition, service-based interface implementation, and cognitive service framework are proposed to enable an efficient cSBA. Finally, we evaluate the performance of the cSBA against the monolithic architecture.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123371323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Freshness Aware Caching for Wireless D2D Network with Helpers 无线D2D网络与助手的新鲜度感知缓存

2023 IEEE Wireless Communications and Networking Conference (WCNC) Pub Date : 2023-03-01 DOI: 10.1109/WCNC55385.2023.10118594

W. Cai, Feng Ke, Yue Zhang

{"title":"Freshness Aware Caching for Wireless D2D Network with Helpers","authors":"W. Cai, Feng Ke, Yue Zhang","doi":"10.1109/WCNC55385.2023.10118594","DOIUrl":"https://doi.org/10.1109/WCNC55385.2023.10118594","url":null,"abstract":"In a wireless device-to-device (D2D) network, mobile edge caching can reduce transmission cost for network traffic, but it may also cause outdated caching information. How to reduce the transmission cost and improve the freshness of information becomes an important issue. A dedicated caching device called helper which has a large cache can be used in a wireless D2D network, which can significantly improve the performance of network. In this paper, to better model the file-centric data transmission, we proposed a concept called age of file (AoF), which is defined as the duration from the latest updating of the file. We analyzed the AoF, energy cost and updating cost of the files in the network level. We comprehensively consider the AoF and energy cost through the maximum and minimum normalization methods, and proposed an AoF-based accessing strategy. In the strategy, users can adjust the access of files according to their demand for file freshness and improve the quality of service. The results indicate that this strategy can reduce the energy cost for file transmission and reduce the total cost of the entire network while satisfying the freshness of files.","PeriodicalId":259116,"journal":{"name":"2023 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121464468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0