2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)最新文献

Deep Neural Network Based Cell Sleeping Control and Beamforming Optimization in Cloud-RAN 基于深度神经网络的云- ran小区休眠控制与波束形成优化

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891410

Gehui Du, Luhan Wang, Qing Liao, Hao Hu

{"title":"Deep Neural Network Based Cell Sleeping Control and Beamforming Optimization in Cloud-RAN","authors":"Gehui Du, Luhan Wang, Qing Liao, Hao Hu","doi":"10.1109/VTCFall.2019.8891410","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891410","url":null,"abstract":"Cloud Radio Access Network (Cloud-RAN) is a promising network architecture for the next generation (5G) wireless communication. Despite the remarkable benefits on the capacity, the provision of power-efficient wireless resource management solution is still challenging. Cell sleeping control and cooperative beamforming design are considered as two enabling ways to address this issue. In this paper, we propose a novel Deep Neural Network (DNN) based approach to minimize the power consumption of network while satisfying the QoS demand by jointly designing the RRHs sleeping modes and beamforming weights inside a certain cell. The key idea of proposed DNN-based approach is to learn the non-linear mapping from channel coefficients to the optimal beamforming weights and the sleeping modes of multiple RRHs. Compared with the conventional numerical optimization schemes which require extensive iterations and result in considerable computational complexity and limited application in real-time processing, the proposed DNN-based approach enables the real-time cell sleeping control and beamforming optimization. Simulation results show that the DNN- based approach improve the energy efficiency significantly and calculative efficiency about three orders of magnitude.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"13 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":"73921518","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

Ensemble-Based Learning in Indoor Localization: A Hybrid Approach 基于集成的室内定位学习:一种混合方法

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891416

Simon Tewes, A. Ahmad, Jaber Kakar, U. M. Thanthrige, Stefan Roth, A. Sezgin

引用次数: 7

Combining Measurements and Propagation Models for Estimation of Coverage in Wireless Networks 结合测量和传播模型估算无线网络覆盖

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891451

Daniel F. S. Fernandes, Gabriel Soares, Diogo J. A. Clemente, Rodrigo Cortesão, P. Sebastião, F. Cercas, R. Dinis, L. Ferreira

引用次数: 9

Decentralized Control Strategies for Unmanned Aircraft System Pursuit and Evasion 无人机系统追逃分散控制策略

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891277

David W. King, Gilbert L. Peterson

引用次数: 1

Error Probability of alpha-µ Fading Channels with Imperfect Carrier Phase Recovery 载波相位恢复不完全时α -µ衰落信道的误差概率

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891553

P. E. G. Silva, R. A. Souza, M. Yacoub, D. B. D. Costa, J. M. Moualeu

引用次数: 3

Deep Reinforcement Learning Framework for Joint Resource Allocation in Heterogeneous Networks 异构网络中联合资源分配的深度强化学习框架

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891448

Yong Zhang, Canping Kang, Yinglei Teng, Sisi Li, Weijun Zheng, Jinghui Fang

引用次数: 6

RoAdNet: A Multi-Resolution Transmission Strategy for Long Range Information Diffusion in VANETs 道路网:面向vanet远程信息扩散的多分辨率传输策略

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891250

Priyashraba Misra, V. Kulathumani

{"title":"RoAdNet: A Multi-Resolution Transmission Strategy for Long Range Information Diffusion in VANETs","authors":"Priyashraba Misra, V. Kulathumani","doi":"10.1109/VTCFall.2019.8891250","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891250","url":null,"abstract":"The focus of this paper is on designing a robust information dissemination protocol for Vehicular Ad-Hoc Networks (VANETs) that works across a broad range of application scenarios by dynamically adapting its parameters and transmission strategy to specific information requirements and traffic conditions. Applications of V2V communication can be broadly classified as safety, navigation and environmental efficiency. Safety applications require high frequency and high precision messages at short range (500m) within a single communication hop, navigation applications need low frequency and lower precision information at medium range (1500m/1 mile) and long range aggregate information (10000m/6 miles) can be used for enhancing environmental efficiency and routing. While network protocols for each of these applications have been individually studied, there is scope to study their behavior when they coexist in the network. It is important that the quality of one hop safety messages is not sacrificed when long range communication is introduced. RoAdNet enables long range information dissemination, while maintaining high data.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"49 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":"75688617","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

Users Capacity Upper Bound of Multi-Pair Massive MIMO AF Relay System under Pilot Contamination 导频污染下多对大规模MIMO AF中继系统的用户容量上限

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891566

Mohamed Ali Soliman, A. Mehana, M. Nafie

引用次数: 0

On the Trade-Off between Computational Complexity and Collaborative GNSS Hybridization 计算复杂度与协同GNSS杂交的权衡

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891571

Alex Minetto, Gianluca Falco, F. Dovis

{"title":"On the Trade-Off between Computational Complexity and Collaborative GNSS Hybridization","authors":"Alex Minetto, Gianluca Falco, F. Dovis","doi":"10.1109/VTCFall.2019.8891571","DOIUrl":"https://doi.org/10.1109/VTCFall.2019.8891571","url":null,"abstract":"In the last decades, several positioning and navigation algorithms have been developed to enhance vehicular localization capabilities. Thanks to ad-hoc communication networks, the exchange of navigation data and positioning solutions has been exploited to the purpose. This trend has recently suggested the extension of state-of-the art navigation algorithms to the hybridization of independent heterogeneous measurements within collaborative frameworks. In this paper an integration paradigm based on the combination of Global Navigation Satellite System (GNSS) observable measurements is analysed. In this work, a comparison among legacy Extended Kalman Filter (EKF) and a suboptimal Particle Filter (s-PF) is proposed. First we show that under the same assumptions in non-collaborative framework the s-PF easily overcome EKF performances at the cost of a higher computational cost. On the contrary, by analysing a realistic scenario in which a target agent is aided by a set of collaborating peers we showed that a hybridized EKF implementation allows reaching and overcome PF performance at the only expense of network connectivity among few GNSS receivers, while the proposed integration induces minor benefits for an efficient s-PF.","PeriodicalId":6713,"journal":{"name":"2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)","volume":"9 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":"74263998","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: 11

Optimal and Suboptimal Power Allocation for SVD-Precoded Faster-than-Nyquist Signaling svd预编码比奈奎斯特信号更快的最优和次优功率分配

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) Pub Date : 2019-09-01 DOI: 10.1109/VTCFall.2019.8891129

T. Ishihara, S. Sugiura

引用次数: 1