2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)最新文献_第10页

Performance of Cooperative NOMA with Virtual Full-Duplex based DF Relaying in Nakagami-m Fading 基于虚拟全双工DF中继的协同NOMA在Nakagami-m衰落中的性能研究

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448775

Justin Jose, Parvez Shaik, V. Bhatia

引用次数: 3

Modeling Perception Errors of Automated Vehicles 自动驾驶车辆感知误差建模

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448823

M. Sigl, C. Schütz, Sebastian Wagner, D. Watzenig

引用次数: 0

Channel Estimation Using Multi-stage Compressed Sensing for Millimeter Wave MIMO Systems 基于多级压缩感知的毫米波MIMO系统信道估计

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448773

Baghdad Hadji, A. Aïssa-El-Bey, L. Fergani, M. Djeddou

{"title":"Channel Estimation Using Multi-stage Compressed Sensing for Millimeter Wave MIMO Systems","authors":"Baghdad Hadji, A. Aïssa-El-Bey, L. Fergani, M. Djeddou","doi":"10.1109/VTC2021-Spring51267.2021.9448773","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448773","url":null,"abstract":"Millimeter-wave (mmWave) and multiple-input multiple-output (MIMO) combination technologies have at-tracted extensive attention from both academia and industry for meeting future communication challenges and requirements. As a viable option to deal with the trade-off between hardware complexity and system performance, hybrid analog/digital architectures are regarded as efficient mmWave MIMO transceivers. While acquiring channel state information (CSI) is a challenging task to design the optimal beamformers/combiners, especially in mmWave communications due to a lot of challenges. Fortunately, the sparse nature of the channel allows to leverage the compressed sensing (CS) tools and theories. However, the critical challenge to develop a CS-based formulation for estimating the mmWave channel is the codebook design (sensing matrices) and its pilot symbol numbers. In this paper, we proposed a multistage CS-based algorithm to estimate the channel explicitly using pilot and data symbols which enable increasing the number of measurements to enhance the estimation accuracy and maximize the spatial diversity by reducing the overlapping between training beams. Simulations confirmed that our proposed method has the best results compared to the existing methods based on codebook schemes.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116731792","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

Bandwidth-Efficient Frequency Hopping based Anti-Jamming Game for Cognitive Radio assisted Wireless Sensor Networks 基于带宽高效跳频的认知无线电辅助无线传感器网络抗干扰博弈

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448885

Khalid Ibrahim, I. Qureshi, A. Malik, S. Ng

引用次数: 3

Evaluation on a Drone Classification Method Using UWB Radar Image Recognition with Deep Learning 基于超宽带雷达图像识别和深度学习的无人机分类方法评价

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448946

Daiki Kawaguchi, R. Nakamura, H. Hadama

引用次数: 3

Particle Swarm Optimization Algorithms for Altitude and Transmit Power Adjustments in UAV-Assisted Cellular Networks 无人机辅助蜂窝网络高度和发射功率调整的粒子群优化算法

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448994

Shourya Shukla, Rahul Thakur, Swati Agarwal

引用次数: 2

Towards Biologically Inspired Decentralized Platooning for Autonomous Vehicles 面向自动驾驶车辆的生物启发分散队列

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448731

S. Sreenivasamurthy, K. Obraczka

引用次数: 3

5G-enabled Road Safety and Cybersecurity Services for Connected and Automated Vehicles 支持5g的互联和自动驾驶车辆道路安全和网络安全服务

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448668

T. Ojanperä, J. Scholliers, T. Sukuvaara, I. Salkari, Hongwen Zhang, P. Eloranta

引用次数: 2

MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate 基于MU-MIMO的车联网认知无线电提高频谱感知精度和和速率

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9449068

Mohammad Amazad Hossain, M. Schukat, E. Barrett

{"title":"MU-MIMO Based Cognitive Radio in Internet of Vehicles (IoV) for Enhanced Spectrum Sensing Accuracy and Sum Rate","authors":"Mohammad Amazad Hossain, M. Schukat, E. Barrett","doi":"10.1109/VTC2021-Spring51267.2021.9449068","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9449068","url":null,"abstract":"Vehicular ad-hoc networks (VANETs) provide the basic infrastructure for intelligent transportation systems (ITS), as it allows vehicles to access the Internet and to communicate intra-vehicle, inter-vehicle and vehicle to the roadside base station. The Internet of Vehicles (IoV) is an evolution of VANETs following the IoT paradigm. Nowadays, the spectrum scarcity is a big issue for the IoV networks due to the increased demand for connecting more vehicles. The cognitive radio (CR) enabled IoV networks can address this issue. In this paper, we propose a multi-user multiple-input and multiple-output (MU-MIMO) antennas aided cluster based cooperative spectrum sensing (CB-CSS) scheme for CR enabled IoV networks. In this proposed scheme, each CR embedded vehicles (CRV) sends sensing data to the cluster head (CH) which makes a cluster decision by using the soft data fusion rule like the equal gain combining (EGC) fusion rule and the maximal ratio combining (MRC) fusion rule; whereas the fusion centre (FC) makes a final global decision by using the K-out-of-N rule to identify the presence of the PU signal. Simulation results show that the proposed MU-MIMO antennas aided CB-CSS scheme achieves a better sensing gain, enhanced the sum rate and lower global error probability when compared to both the conventional single-input and single-output (SISO) antenna based cooperative spectrum sensing (CSS) and non-cooperative spectrum sensing (NCSS) schemes. In addition, the proposed scheme achieves a lower traffic overhead when compared to the MU-MIMO based CSS scheme without the cluster.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123297774","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: 4

Low Latency Low Loss Scalable Throughput in 5G Networks 5G网络中的低延迟低损耗可扩展吞吐量

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448764

D. Brunello, I. Johansson, Mustafa Ozger, C. Cavdar

{"title":"Low Latency Low Loss Scalable Throughput in 5G Networks","authors":"D. Brunello, I. Johansson, Mustafa Ozger, C. Cavdar","doi":"10.1109/VTC2021-Spring51267.2021.9448764","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448764","url":null,"abstract":"Low Latency Low Loss Scalable Throughput (L4S) is a technology intended to reduce queue delay problems, ensuring low latency to Internet Protocol flows with a high throughput performance. To reach this goal, it relies on Explicit Congestion Notification (ECN), a mechanism that marks packets to signal congestion in the network avoiding packets to be dropped. The congestion signals are managed at the sender and receiver sides thanks to scalable congestion control algorithms. In this paper, the challenges to implement L4S in a 5G network are analyzed. Using a proprietary state-of-the-art network simulator, the L4S marking strategy has been implemented at the Packed Data Convergence Protocol layer. To evaluate the benefits of the implementation, L4S has been adopted to support Augmented Reality (AR) video gaming traffic while using the IETF experimental standard Self-Clocked Rate Adaptation for Multimedia (SCReAM) for the congestion control. The results show that the video gaming traffic experiences lower delay when supported by L4S. Moreover, in all the cases analyzed, L4S provides an average application layer throughput above the minimum requirements of a high-rate latency-critical application, even at high system loads. Furthermore, the packet loss rate has been significantly reduced thanks to L4S. If it is used in a combination with a Delay Based Scheduler (DBS), a packet loss rate very close to zero has been reached.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537890","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: 6