2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)最新文献_第6页

Network Coding-based Data Storage and Retrieval for Kademlia 基于网络编码的卡地亚数据存储与检索

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448845

Ali Marandi, Hadi Sehat, D. Lucani, Saeid Mousavifar, R. Jacobsen

{"title":"Network Coding-based Data Storage and Retrieval for Kademlia","authors":"Ali Marandi, Hadi Sehat, D. Lucani, Saeid Mousavifar, R. Jacobsen","doi":"10.1109/VTC2021-Spring51267.2021.9448845","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448845","url":null,"abstract":"Peer-to-peer distributed storage systems can be instrumental to develop solutions able to store the massive amounts of data generated by the Internet of Things (IoT) users. Given the higher probability of node failures, losses in the communication channels, and limited resources of devices compared to centralized storage solutions, it is key to minimize data retrieval time, while also maintaining high resiliency in the system. We propose a method based on random linear network coding (RLNC) for data storage and retrieval and the use of Kademlia for our peer-to-peer design to address these challenges. We analyze the performance of the proposed RLNC-based method theoretically as well as the traditional Kademlia in terms of data retrieval time and resiliency to node failures and channel losses. We use PeerSim to simulate the proposed method. Our theoretical analysis and simulation results show that the proposed RLNC-based method significantly outperforms traditional Kademlia for our core performance metrics. These gains in resiliency and data retrieval time are achieved while also reducing the data storage time for a wide region of operation. Our simulations show that only if the redundancy of the RLNC-based scheme is significantly increased (> 100 % redundant RLNC packets), then a small degradation (< 10 %) in data storage time occurs.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"106 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":"124836843","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

Sum-rate Maximization in NOMA-based mmWave Analog Beamforming under Imperfect CSI 不完全CSI下基于noma的毫米波模拟波束形成和速率最大化

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448957

Kali Krishna Kota, P. Ubaidulla

引用次数: 2

Efficient System Capacity User Selection Algorithm in MU-MIMO MU-MIMO中高效的系统容量用户选择算法

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448632

Malo Manini, C. Gueguen, R. Legouable, X. Lagrange

引用次数: 2

Correlation-Based Device Energy-Efficient Dynamic Multi-Task Offloading for Mobile Edge Computing 基于关联的移动边缘计算设备节能动态多任务卸载

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448864

Siqi Zhang, N. Yi, Yi Ma

引用次数: 1

Wireless Power Transfer via Intelligent Reflecting Surface-Assisted Millimeter Wave Power Beacons 基于智能反射表面辅助毫米波功率信标的无线电力传输

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448818

Wei Meng, Xinxin He, Yuanyang Li, Huarui Wu, Changchuan Yin

{"title":"Wireless Power Transfer via Intelligent Reflecting Surface-Assisted Millimeter Wave Power Beacons","authors":"Wei Meng, Xinxin He, Yuanyang Li, Huarui Wu, Changchuan Yin","doi":"10.1109/VTC2021-Spring51267.2021.9448818","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448818","url":null,"abstract":"Wireless power transfer (WPT) can provide sustainable power supply to the distributed devices via electromagnetic (EM) waves. The narrow beams formed by millimeter wave (mmWave) beam can concentrate the transmission power and greatly improve the energy efficiency of WPT. However, the mmWave propagation is susceptible to blockage and suffers higher path-loss, resulting in low power intensity harvested by the devices in no line of sight (NLOS) state. In this paper, we propose a sectorized directional WPT scheme for wireless sensor network (WSN) assisted by the emerging intelligent reflecting surface (IRS), where power beacon (PB) transfers energy to the devices in selected charging sectors, and the IRS is deployed in each sector to achieve high passive beamforming gain and provide additional effective reflection paths to enhance WPT efficiency drastically. We aim to maximize the weighted sum-power received by devices via jointly optimizing the transmit precoders at the PB and reflect phase shifts at the IRS, subject to the individual energy harvesting constraints of each device. To solve this non-convex problem, an efficient algorithm to find a sub-optimal solution is proposed. Simulation results show that the proposed scheme can increase the weighted sum-power by 15% and 26% compared to the two baseline methods.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"61 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":"128295158","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

Hybrid Beamforming for Bidirectional Massive MIMO Full Duplex Under Practical Considerations 基于实际考虑的双向大规模MIMO全双工混合波束形成

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448636

Chandan Kumar Sheemar, D. Slock

引用次数: 9

ECSS: Efficient Cooperative Spectrum Sensing in CBRS based Cognitive Radio System 基于CBRS认知无线电系统的高效协同频谱感知

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9449088

Vaisakh Suresh, Chetna Singhal

{"title":"ECSS: Efficient Cooperative Spectrum Sensing in CBRS based Cognitive Radio System","authors":"Vaisakh Suresh, Chetna Singhal","doi":"10.1109/VTC2021-Spring51267.2021.9449088","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9449088","url":null,"abstract":"Multi Input Multi Output (MIMO) based Cognitive Radio (CR) is implementable using Software Defined Radio (SDR) and is promising for efficient use of scarce electromagnetic spectrum. The Federal Communications Commission has proposed to create Citizens Broadband Radio Service (CBRS) with the three-tier spectrum sharing system to release more spectrum for the mobile broadband usage in next-generation wireless network. In this paper we propose an efficient cooperative spectrum sensing solution, ECSS, for CBRS CR system. The Priority Access License (PAL) are represented as Primary Users (PU) and General Authorized Access (GAA) as secondary user (SU). Modelling and analysis of cooperative spectrum sensing (CSS) is an important aspect in CR systems in presence of multiple users. In our scheme, spectrum sensing is carried by individual SUs using energy detector and Square Law Selection diversity. This is due to the simplicity and non-necessity of apriori information in both these techniques. The energy detection (ED) of an unknown signal over Nakagami-m fading is considered for analytically modelling local probability of detection at individual SU, termed as efficient spectrum sensing (ESS). Individual SUs send the hard decision rule to the Spectrum Access System (SAS), which acts as the fusion centre of the cooperative spectrum sensing system, where majority combining decision rule is employed to take final sensing decision using a Efficient Cooperative Spectrum Sensing (ECSS) Algorithm. Closed-form solutions for the ECSS system-level probability of detection and false alarm at the SAS are obtained and have been shown to give efficient performance.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"69 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":"127246001","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

Black-Box Testing for Security-Informed Safety of Automated Driving Systems 基于安全信息的自动驾驶系统黑盒测试

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448691

Marty Skoglund, Fredrik Warg, H. Hansson, S. Punnekkat

{"title":"Black-Box Testing for Security-Informed Safety of Automated Driving Systems","authors":"Marty Skoglund, Fredrik Warg, H. Hansson, S. Punnekkat","doi":"10.1109/VTC2021-Spring51267.2021.9448691","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448691","url":null,"abstract":"An evaluation of safety and security properties performed by an independent organisation can be an important step towards establishing trust in Automated Driving Systems (ADS), bridging the gap between the marketing portrayal and the actual performance of such systems in real operating conditions. However, due to the complexity of an ADS’s behaviour and dangers involved in performing real environment security attacks, we believe assessments that can be performed with a combination of simulation and validation at test facilities is the way forward.In this paper, we outline an approach to derive test suites applicable to generic ADS feature classes, where classes would have similar capabilities and comparable assessment results. The goal is to support black box testing of such feature classes as part of an independent evaluation. By the means of co-simulation of post-attack behaviour and critical scenarios, we derive a representative set of physical certification tests, to gain an understanding of the interplay between safety and security. During the initial tests an ADS is subjected to various attacks and its reactions recorded. These reactions such as reduced functionality, fall back etc., together with relevant scenarios for the class is further analysed to check for safety implications.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"38 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":"127395651","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: 5

Energy Minimization Task Offloading Mechanism with Edge-Cloud Collaboration in IoT Networks 基于边缘云协同的物联网网络能量最小化任务卸载机制

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9449054

Xunzheng Zhang, Haixia Zhang, Xiaotian Zhou, D. Yuan

{"title":"Energy Minimization Task Offloading Mechanism with Edge-Cloud Collaboration in IoT Networks","authors":"Xunzheng Zhang, Haixia Zhang, Xiaotian Zhou, D. Yuan","doi":"10.1109/VTC2021-Spring51267.2021.9449054","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9449054","url":null,"abstract":"With the development of Industrial Internet of Things (IIoT), the computation intensive tasks with restrict delay constraints generated at network edge emerge as the main challenge to the terminals with limited power and processing capability. The combination of edge and cloud computing has been demonstrated as one promising solution to such problem. In the edge-cloud collaboration (ECC) framework, the task scheduling among edges and cloud is of great importance on impacting the performance of the system. In this paper, we investigate the task offloading strategy to minimize the energy consumption of the networks. To achieve that, a time delay penalty mechanism, which searches the optimal power for edge to cloud task offloading under given delay constraint, is first proposed. On that basis, a low complexity edge-cloud matching algorithm leveraging the bipartite matching method is developed, to further minimize the execution energy consumption of all devices. Finally, to evaluate its efficiency, the proposed algorithm is deployed and tested on an novel edge-cloud computing collaboration platform. Both simulation and experiment results revel that our proposed scheme can achieve the less energy consumption compared with other alternatives. In addition, it also indicates that our proposed scheme can effectively matching resources from the edge to the cloud, especially for the issues that edge devices fail to meet demands due to limit processing ability.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"79 7 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":"127251286","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

Performance of NLOS Base Station Exclusion in cmWave 5G Positioning 毫米波5G定位中NLOS基站排除性能研究

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448738

Alda Xhafa, J. A. D. Peral-Rosado, G. Seco-Granados, J. López-Salcedo

{"title":"Performance of NLOS Base Station Exclusion in cmWave 5G Positioning","authors":"Alda Xhafa, J. A. D. Peral-Rosado, G. Seco-Granados, J. López-Salcedo","doi":"10.1109/VTC2021-Spring51267.2021.9448738","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448738","url":null,"abstract":"Positioning methods relying on cellular signals are subject to severe degradation errors due to the inherent harsh working conditions of urban scenarios. In contrast, emerging applications are gradually requesting a more accurate and reliable positioning solution, thus requiring the implementation of alternative measures to minimize such degradation. This paper describes a method for detecting faulty measurements from base station (BS) affected by non-line-of-sight (NLOS) propagation. The method monitors the residuals resulting from the least-squares positioning solution, inspired by the approach implemented by Receiver Autonomous Integrity Monitoring (RAIM) techniques in Global Navigation Satellite Systems (GNSS) receivers. The method has been tested through simulations based on a deep urban deployment map, which comes with an experimental data file of user’s position. Positioning Reference Signal (PRS) of 5G New Radio (NR) operating in the centimeter-wave (cmWave) band is used. Results confirm the utility of implementing NLOS monitoring method to achieve a better performance assessment under realistic assumptions while using 5G positioning signals.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"28 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":"129964214","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