2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)最新文献_第10页

An Efficient Message Passing Algorithm for Active User Detection and Channel Estimation in NOMA 一种有效的消息传递算法用于NOMA中主动用户检测和信道估计

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891539

Weijia Dai, Haichao Wei, Jiaxi Zhou, Wuyang Zhou

引用次数: 4

Temperature Distribution on Lithium-Ion Polymer Battery Cell: Experiment and Modeling 锂离子聚合物电池电芯温度分布:实验与建模

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8890974

Yiqun Liu, Y. G. Liao, Ming-Chia Lai

引用次数: 3

Performance of a Cooperative Network with Energy Harvesting Source and Relay 具有能量收集源和中继的协同网络性能

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891150

Dileep Bapatla, S. Prakriya

引用次数: 3

Ai-Enhanced Incentive Design for Crowdsourcing in Internet of Vehicles 车联网众包的ai增强激励设计

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891430

Yanlin Yue, Wen Sun, Jiajia Liu, Yuanhe Jiang

引用次数: 3

NOMA-Based Optimal Multiplexing Method for Downlink Service Channels to Maximize Integrated System Throughput 基于noma的下行业务信道最优复用方法以最大化综合系统吞吐量

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891132

Teruaki Shikuma, Y. Yuda, K. Higuchi

{"title":"NOMA-Based Optimal Multiplexing Method for Downlink Service Channels to Maximize Integrated System Throughput","authors":"Teruaki Shikuma, Y. Yuda, K. Higuchi","doi":"10.1109/VTCFall.2019.8891132","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891132","url":null,"abstract":"We propose a novel non-orthogonal multiple access (NOMA)-based optimal multiplexing method for multiple downlink service channels to maximize the integrated system throughput. In the fifth generation (5G) mobile communication system, the support of various wireless communication services such as massive machine-type communications (mMTC), ultra-reliable low latency communications (URLLC), and enhanced mobile broadband (eMBB) is expected. These services will serve different numbers of terminals and have different requirements regarding the spectrum efficiency and fairness among terminals. Furthermore, different operators may have different policies regarding the overall spectrum efficiency and fairness among services. Therefore, efficient radio resource allocation is essential during the multiplexing of multiple downlink service channels considering these requirements. The proposed method achieves better system performance than the conventional orthogonal multiple access (OMA)-based multiplexing method thanks to the wider transmission bandwidth per terminal and inter-terminal interference cancellation using the successive interference canceller (SIC). Computer simulation results reveal that the effectiveness of the proposed method is especially significant when the system prioritizes the fairness among terminals (including fairness among services).","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"21 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91167234","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: 3

Smart Parking with Fine-Grained Localization and User Status Sensing Based on Edge Computing 基于边缘计算的细粒度定位和用户状态感知智能停车

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891560

Cheonsol Lee, Soochang Park, Taehun Yang, Sang-Hoon Lee

{"title":"Smart Parking with Fine-Grained Localization and User Status Sensing Based on Edge Computing","authors":"Cheonsol Lee, Soochang Park, Taehun Yang, Sang-Hoon Lee","doi":"10.1109/VTCFall.2019.8891560","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891560","url":null,"abstract":"Parking at an affordable place is the precedent task for all activities of the everyday life in urban environments such as shopping, working, exercising, etc. So, it is the most common and essential requirement of all users in a car park to fast search a preferred parking spot closely associated their current intent. Although modern parking lots have installed the sensing and display systems to inform drivers on the availability of parking areas, such systems are unable to tell drivers exact parking spots and make any recommendation to improve the traffic conditions and driver experiences. In this paper, a novel analytic- based smart parking system clustering Internet of Things, smart mobile devices and edge computing is proposed. This novel parking system aims at providing customized parking experience to users through highly accurate positioning and user status detection which are achieved by joint mobile sensing-machine learning based analytics as the edge intelligence. Based on the proof-of-concept implementation, the proposed scheme can achieve 99.1% positioning accuracy of a parking spot; in terms of user status sensing, especially getting in a car and out of a car, detection accuracy shows 96%; finally, it shows much shorter service consumption time of 15.6 times than the legacy approach.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"2 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72940325","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: 14

AP Deployment Optimization in Non-Uniform Service Areas: A Genetic Algorithm Approach 非统一服务区AP部署优化:一种遗传算法方法

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891308

Zicong Zhi, Jianghong Wu, Xin Meng, Mengqian Yao, Qian Hu, Zhenzhou Tang

引用次数: 4

Unsupervised Data-Driven Automotive Diagnostics with Improved Deep Temporal Clustering 改进深度时间聚类的无监督数据驱动汽车诊断

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891120

Peter Wolf, Alvin Chin, B. Bäker

{"title":"Unsupervised Data-Driven Automotive Diagnostics with Improved Deep Temporal Clustering","authors":"Peter Wolf, Alvin Chin, B. Bäker","doi":"10.1109/VTCFall.2019.8891120","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891120","url":null,"abstract":"The majority of data-driven fault detection approaches for automotive diagnostics are trained in a supervised manner. However, gathering diagnostics datasets to train supervised fault detection models is still challenging. Precise correlation of input data and defect events is non-trivial and requires extensive support of domain experts. Additionally, a strong imbalance caused by rare faulty events results in models which are biased towards non-faulty events. Hence, in this work, we propose a fully unsupervised data- driven diagnostics approach to detect faults in high frequency in-vehicle data. We transfer the concept of deep embedded clustering for static data to multivariate in- vehicle time series. We extend the approach by modifying the neural network architecture and comparing three similarity measures in the clustering layer, i.e., soft dynamic time warping, complexity invariant distance, and Euclidean distance. We further introduce an adapted target distribution to tackle imbalanced datasets. Our approach is evaluated on multivariate high frequency electronic control unit data of a test vehicle to detect pre-ignitions in high pressure turbocharged petrol engines. Current state-of-the-art time series clustering approaches are used as baselines for performance comparison. The results show that our approach is able to identify pre-ignitions without labels and outperforms the baselines by 10 percent in terms of accuracy.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73121587","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

Driver Profile Detection Using Points of Interest Neighbourhood 基于兴趣点邻域的驾驶员配置文件检测

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891118

Brice Leblanc, H. Fouchal, Cyril de Runz

引用次数: 3

Impact of MU EDCA Channel Access on IEEE 802.11ax WLANs MU EDCA通道接入对IEEE 802.11ax wlan的影响

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891575

Sharan Naribole, Wookbong Lee, A. Ranganath

{"title":"Impact of MU EDCA Channel Access on IEEE 802.11ax WLANs","authors":"Sharan Naribole, Wookbong Lee, A. Ranganath","doi":"10.1109/VTCFall.2019.8891575","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891575","url":null,"abstract":"To achieve increased radio utilization in dense WLAN deployments, IEEE 802.11ax amendment introduces Orthogonal Frequency Division Multiple Access (OFDMA) to the Wi-Fi standard. As the Access Point (AP) initiates the uplink OFDMA operation via a trigger, this operation provides an additional means for the STAs to gain medium access. Consequently, to retain fairness in the network and reduce contention, a novel MU EDCA channel access mode has been introduced in 802.11ax standard to temporarily deprioritize medium access for STAs participating in uplink OFDMA operation. In this paper, we implement the key components of 802.11ax OFDMA operation in custom ns-3 network simulator and evaluate the impact of MU EDCA channel access mode on 802.11ax dense WLAN performance under various network and traffic conditions. Our results show that (a) temporarily switching to MU EDCA channel access mode significantly improves network performance in terms of throughput and real-time application latency (b) the duration of temporary switch to MU EDCA channel access mode has negligible impact on network performance and (c) 200 ms of MU EDCA channel access mode can potentially support a dense network of almost 2000 STAs.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"1 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73785523","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: 10