2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)最新文献_第4页

Measuring Human Perception of Audiovisual Errors using EEG 利用脑电图测量人对视听错误的感知

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012868

Dingcheng Gao, Bingrui Geng, Yiping Duan, Xiaoming Tao, Chengkang Pan

引用次数: 0

Rate-Overhead Tradeoff in Beam Training for RRS-Assisted Multi-User Communications rrs辅助多用户通信波束训练中的速率开销权衡

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10013042

Shupei Zhang, Yutong Zhang, Boya Di, Hongliang Zhang

{"title":"Rate-Overhead Tradeoff in Beam Training for RRS-Assisted Multi-User Communications","authors":"Shupei Zhang, Yutong Zhang, Boya Di, Hongliang Zhang","doi":"10.1109/VTC2022-Fall57202.2022.10013042","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10013042","url":null,"abstract":"Holographic multiple-input multiple-output (HMIMO) with a spatially continuous aperture is a promising solution for future radio access to handle the explosively increasing data demands. As a key enabler of HMIMO, the reconfigurable refractive surface (RRS) can serve as an antenna array with numerous programmable radiation elements. In this paper, we consider a multi-user system with an RRS-aided base station (BS) where the transmit signal is refracted by the RRS towards the users. A beamforming scheme is developed via codebook design and beam training. A larger codebook size implies more codewords, each corresponding to a directional beam. When the codebook size increases, the directivity of the refracted beam is enhanced, bringing a higher data rate. However, it also leads to an exponential growth of the training overhead. To achieve the critical tradeoff between the data rate and overhead, we evaluate the system throughput and model the relation between the codebook size of the RRS and the throughput mathematically. The optimal codebook size is then derived given different user distributions. Simulation results verify our theoretical analysis and show the influence of both codebook size and RRS size on the throughput.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116488746","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

Fast Channel Estimation for Massive Machine Type Communications1 大规模机器通信的快速信道估计[j]

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012734

Yonghong Zeng, Sumei Sun, Yuhong Wang, Yugang Ma

引用次数: 0

Decentralized Smart Grid System:A Survey On Machine Learning-Based Intrusion Detection Approaches 分散式智能电网系统:基于机器学习的入侵检测方法综述

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012710

Makhmoor Fiza Murk, Noman Zahid, Ali Hassan Sodhro, Bilal Zahid

{"title":"Decentralized Smart Grid System:A Survey On Machine Learning-Based Intrusion Detection Approaches","authors":"Makhmoor Fiza Murk, Noman Zahid, Ali Hassan Sodhro, Bilal Zahid","doi":"10.1109/VTC2022-Fall57202.2022.10012710","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012710","url":null,"abstract":"Smart grid is a two-way communication technology power system that sends information between the control server and consumer. It consists of different IoTs connected to a smart meter, creating a network known as the HAN home area network, and collections of these smart meters form a NAN neighbor area network. This data has been transferred to a WAN-wide area network, where the control server will share and analyze the information. The information shared in all layers has been secured in order to maintain this infrastructure. Traditional systems like firewalls’ general cryptographic techniques can detect anomalies for known attacks, but they sometimes fail to provide efficient security for unknown or real-time attacks. There should be a complete framework to detect real-time intruders and attacks. Here, NIDS using machine learning approach has been discussed in this survey report. Most ML techniques are able to detect real-time attacks with less time overhead and higher accuracy. On the basis of accuracy, detection rate, and F1 score, ten different types of datasets were evaluated and analyzed.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887881","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: 2

An Efficient Probe Selection Method for 5G Base Station OTA Testing with MPAC Setup 一种基于MPAC设置的5G基站OTA测试探针选择方法

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012886

Hao Sun, Xiaohang Yang, Ying Zhu, Zhiqin Wang

引用次数: 0

Multipath Ghosts Mitigation for Radar-based Positioning Systems 基于雷达定位系统的多径干扰抑制

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10013061

Xun Wang, Mu Jia, Xinjie Meng, Tingting Zhang

引用次数: 2

Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks 多智能体强化学习辅助车辆网络资源分配方法

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012735

Yuxin Ji, Xixi Zhang, Yu Wang, H. Gačanin, H. Sari, F. Adachi, Guan Gui

{"title":"Multi-Agent Reinforcement Learning Aided Resources Allocation Method in Vehicular Networks","authors":"Yuxin Ji, Xixi Zhang, Yu Wang, H. Gačanin, H. Sari, F. Adachi, Guan Gui","doi":"10.1109/VTC2022-Fall57202.2022.10012735","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012735","url":null,"abstract":"To address the problem of spectrum resources and transmitting power for vehicular networks, this paper proposes a resource allocation (RA) method based on dueling double deep-Q network (D3QN) reinforcement learning (RL). Due to the high mobility of the vehicle, the channel changes rapidly which makes it difficult to accurately collect high-accuracy channel state information at the base station and to perform centralized management. In response of this difficulty, we construct a multi-intelligence model, using Manhattan Grid Layout City Model as the basis of environment and with each vehicle-to-vehicle (V2V) link as an intelligence. They work together to interact with the environment, receive appropriate observations, get rewards, and finally learn to improve the allocation of power and spectrum to enable users to achieve a better entertainment experience and a safer driving environment. Experimental results demonstrate that with proper training mechanism and reward function construction, cooperation among multiple intelligence can be performed in a distributed manner, with improvements in both the capacity of total vehicle-to-infrastructure links and the effective payload delivery success rate of the V2V links compared to common Q-network.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124665294","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

Low Complexity IA Design for the Multi-Cell MIMO Downlink Cellular Network 多小区MIMO下行蜂窝网络的低复杂度IA设计

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012785

Weihua Liu, Junchuan Fan, Yuanyuan Zhang, Zeqi Yu, Yong Cui

{"title":"Low Complexity IA Design for the Multi-Cell MIMO Downlink Cellular Network","authors":"Weihua Liu, Junchuan Fan, Yuanyuan Zhang, Zeqi Yu, Yong Cui","doi":"10.1109/VTC2022-Fall57202.2022.10012785","DOIUrl":"https://doi.org/10.1109/VTC2022-Fall57202.2022.10012785","url":null,"abstract":"Interference alignment (IA) is a promising technology to effectively eliminate interference and improve the wireless communication network capacity. However, the low complexity IA solution with high degrees of freedom (DoF) for the multi-cell multi-user cellular network is still an open problem that needs to be solved. To address this problem, in this paper, the two-stage IA scheme for the multi-cell multi-user multiple-input multiple-output (MIMO) interfering broadcast channel (IFBC) model is investigated. Since a multi-cell IFBC is a complex interfering channel model, it is simplified into several simple models. The complex MIMO IFBC model can be first transformed into a simple K-user MIMO interference channel model, by designing the first stage precoding matrix to eliminate inter-cell interference (ICI). Based on the designed first stage precoding matrix, the MIMO IFBC becomes several single-cell MIMO IFBCs, and the second stage precoding matrix can be designed to eliminate inter-user interference (IUI). The high system sum-rate performance and low computational complexity of the proposed IA design scheme are verified through a series of simulations.","PeriodicalId":326047,"journal":{"name":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124829297","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

Performance Analysis of OSTBC in NOMA Assisted Downlink System with SIC Errors 具有SIC误差的NOMA辅助下行系统中OSTBC的性能分析

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10012927

Rahul Makkar, Venugopalachary Kotha, D. Rawal, Vijay Kumar Chakka, N. Sharma

引用次数: 1

Path Design for Portable Access Point in Joint Sensing and Communications under Energy Constraints 能量约束下联合传感与通信便携式接入点路径设计

2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall) Pub Date : 2022-09-01 DOI: 10.1109/VTC2022-Fall57202.2022.10013006

Xiaoye Jing, F. Liu, C. Masouros

引用次数: 0