2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)最新文献_第7页

Throughput Optimization in Energy Harvesting based Cognitive IoT with Cooperative Sensing 基于协同传感的能量采集认知物联网吞吐量优化

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448917

Yan Long, Ye Li, Honghao Ju, Rong He, X. Fang

引用次数: 2

Integrated Service Discovery and Placement in Information-Centric Vehicular Network Slices 以信息为中心的车辆网络切片中的集成服务发现与放置

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448979

Xuan-Thuy Dang, F. Sivrikaya, Sebastian Peters

{"title":"Integrated Service Discovery and Placement in Information-Centric Vehicular Network Slices","authors":"Xuan-Thuy Dang, F. Sivrikaya, Sebastian Peters","doi":"10.1109/VTC2021-Spring51267.2021.9448979","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448979","url":null,"abstract":"Connected and autonomous driving is one of the prominent vertical applications to showcase the capabilities of the 5G mobile network to transform and disrupt numerous industrial sectors and service chains. Cooperative autonomous mobility applications require ultra low latency communication, utilize massive broadband connections for vast numbers of connected devices, all of this under high mobility settings. Cloud and Edge Computing, artificial intelligence (AI), and the Internet of things (IoT) pave the path for the most important role of 5G: to attain an integration platform for the challenges of vertical applications. In this work, we first review these enabling features of 5G for autonomous driving and their integration in our autonomous driving testbed on urban public roads. We then propose an enhancement to the 5G vehicle to everything (V2X) architecture by incorporating the informationcentric communication paradigm. Our simulations of a proposed approach for integrated service discovery and placement in the high mobility settings of autonomous driving applications show improved service continuity and latency measured by hop counts to service endpoints and number of cache nodes. The results serve as a base line performance indicator for the practical implementation of the proposed approach.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"16 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":"123738990","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

Collision-free Path Planning for UAVs using Efficient Artificial Potential Field Algorithm 基于高效人工势场算法的无人机无碰撞路径规划

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448937

Praveen Kumar Selvam, G. Raja, Vasantharaj Rajagopal, K. Dev, S. Knorr

{"title":"Collision-free Path Planning for UAVs using Efficient Artificial Potential Field Algorithm","authors":"Praveen Kumar Selvam, G. Raja, Vasantharaj Rajagopal, K. Dev, S. Knorr","doi":"10.1109/VTC2021-Spring51267.2021.9448937","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448937","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs), a new emerging form of Internet of Things (IoT), is a promising technology to be widely used in both civil and military applications. On the fly, the UAVs need to find an efficient and safe path by avoiding both static and dynamic obstacles to carry out any mission successfully. The Artificial Potential Field (APF) algorithm is one of the conventional catalysts in UAV path planning. However, APF-aided UAVs can be easily trapped into a local minimum solution before reaching the destination. Therefore, this paper proposes an efficient APF algorithm for Collision-free Path Planning (eAPF-CPP) in UAVs. In eAPF-CPP, the attractive and repulsive potentials evaluate the quadratic distance to the destination and the obstacle respectively. The evaluation aids the UAV to select the optimal path in navigation. The eAPF-CPP mechanism is simulated in the Software-In-The-Loop (SITL) setup, and the experimental results show that the eAPF-CPP mechanism utilizes an average of 24.4 seconds to track a safe path and has a lower collision rate of 8.56% compared with Artifical Potential Field Approach (APFA).","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"1 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":"131002326","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: 22

The Effect of Wall Blockages on Indoor Small Cell Networks with LOS/NLOS User Association Strategies 基于LOS/NLOS用户关联策略的室内小蜂窝网络中墙体阻塞的影响

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448638

Yunbai Wang, Hui Zheng, Chen Chen, Xiaoli Chu

{"title":"The Effect of Wall Blockages on Indoor Small Cell Networks with LOS/NLOS User Association Strategies","authors":"Yunbai Wang, Hui Zheng, Chen Chen, Xiaoli Chu","doi":"10.1109/VTC2021-Spring51267.2021.9448638","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448638","url":null,"abstract":"Interior wall blockage affects the performance of indoor cellular networks but has not been sufficiently studied. In this paper, by modelling the spatial distribution of interior walls using the random shape theory and incorporating the attenuation caused by wall blockages into the path loss model, we develop a tractable approach to analyse the performance of indoor small cell networks under the influence of interior wall blockages. Then, the proposed analytical approach is applied to study the downlink coverage probability of two user association strategies: the closest line-of-sight (LOS) base station (BS) strategy, and the closest non-line-of-sight (NLOS) BS strategy. The analytical results are validated by Monte Carlo simulations in comparison with those obtained under the existing wall blockage model that assumes impenetrable walls. Our results reveal the importance of considering the wall attenuation for the accurate analysis of indoor cellular networks. The coverage probability is more sensitive to wall attenuation under the closest NLOS BS user association strategy than under the closest LOS BS user association strategy, and that there is an optimal BS density that maximizes the coverage probability under the closest LOS BS user association strategy, but the coverage probability under the closest NLOS BS user association strategy monotonically decreases with the increase of BS density.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"1 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":"130432864","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

Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System 基于物联网的医疗保健系统数据传输的分散节能模型

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448886

Ali Hassan Sodhro, Mabrook S. Al-Rakhami, Lei Wang, Hina Magsi, Noman Zahid, Sandeep Pirbhulal, K. Nisar, Awais Ahmad

{"title":"Decentralized Energy Efficient Model for Data Transmission in IoT-based Healthcare System","authors":"Ali Hassan Sodhro, Mabrook S. Al-Rakhami, Lei Wang, Hina Magsi, Noman Zahid, Sandeep Pirbhulal, K. Nisar, Awais Ahmad","doi":"10.1109/VTC2021-Spring51267.2021.9448886","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448886","url":null,"abstract":"The growing world population is facing challenges such as increased chronic diseases and medical expenses. Integrate the latest modern technology into healthcare system can diminish these issues. Internet of medical things (IoMT) is the vision to provide the better healthcare system. The IoMT comprises of different sensor nodes connected together. The IoMT system incorporated with medical devices (sensors) for given the healthcare facilities to the patient and physician can have capability to monitor the patients very efficiently. The main challenge for IoMT is the energy consumption, battery charge consumption and limited battery lifetime in sensor based medical devices. During charging the charges that are stored in battery and these charges are not fully utilized due to non-linearity of discharging process. The short time period needed to restore these unused charges is referred as recovery effect. An algorithm exploiting recovery effect to extend the battery lifetime that leads to low consumption of energy. This paper provides the proposed adaptive Energy efficient (EEA) algorithm that adopts this effect for enhancing energy efficiency, battery lifetime and throughput. The results have been simulated on MATLAB by considering the Li-ion battery. The proposed adaptive Energy efficient (EEA) algorithm is also compared with other state of the art existing method named, BRLE. The Proposed algorithm increased the lifetime of battery, energy consumption and provides the improved performance as compared to BRLE algorithm. It consumes low energy and supports continuous connectivity of devices without any loss/ interruptions.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"148 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":"130466452","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: 17

Distance-Based Neural Combinatorial Optimization for Context-based Route Planning 基于环境的路径规划中基于距离的神经组合优化

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448741

Sascha Hamzehi, K. Bogenberger, Bernd Kaltenhäuser, Jilei Tian, Alvin Chin, Yang Cao

{"title":"Distance-Based Neural Combinatorial Optimization for Context-based Route Planning","authors":"Sascha Hamzehi, K. Bogenberger, Bernd Kaltenhäuser, Jilei Tian, Alvin Chin, Yang Cao","doi":"10.1109/VTC2021-Spring51267.2021.9448741","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448741","url":null,"abstract":"Platform-based large-scale journey planning of autonomous vehicles and context-sensitive route planning applications require new scalable approaches in order to work within an on-demand mobility service. In this work we present and test a machine learning-based approach for distance-based roundtrip planning in a Traveling Salesman Problem (TSP) setting. We introduce our applied Distance-Based Pointer Network (DBPN) algorithm which solves mini-batches of multiple symmetric and asymmetric 2D Euclidean TSPs. We provide our algorithm and test results for symmetric and asymmetric TSP distances, as present in real road and traffic networks. Subsequently, we compare our results with an industry standard routing solver OR-Tools. Here, we focus on solving comparably small TSP instances which commonly occur on our platform-based service. Our results show that compared to the State-of-the-Art methods such as the Coordinate-Based Pointer Network (CBPN) and OR-Tools, our approach solves asymmetric TSPs which cannot be solved by the CBPN approach. The results furthermore show that our approach achieves near-optimal results by a 5.9% mean absolute percentage error, compared to the OR-Tools solution. By solving 1000 TSPs, we show that our DBPN approach is approximately 27 times faster than the OR-Tools solver.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"12 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":"127898795","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

Optimum Performance of Nonlinear MIMO-SVD Schemes 非线性MIMO-SVD方案的最优性能

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9449046

João Guerreiro, R. Dinis, P. Montezuma

引用次数: 0

User Set Elimination in Allocation Sequences of RR Scheduling for Distributed Antenna Transmission 分布式天线传输RR调度分配序列中的用户集消除

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448771

Go Otsuru, Y. Sanada

引用次数: 1

Persistent Scheduling with Broadcast Feedback for Cellular V2X Communication 基于广播反馈的蜂窝V2X通信持续调度

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9448663

Youngjoon Yoon, Junwon Kang, Hyogon Kim

{"title":"Persistent Scheduling with Broadcast Feedback for Cellular V2X Communication","authors":"Youngjoon Yoon, Junwon Kang, Hyogon Kim","doi":"10.1109/VTC2021-Spring51267.2021.9448663","DOIUrl":"https://doi.org/10.1109/VTC2021-Spring51267.2021.9448663","url":null,"abstract":"In New Radio (NR) Sidelink Mode 2 for vehicle-to-everything (V2X) communication, each vehicle autonomously selects the wireless resource through sensing-based resource selection and reservation. Since perfect sensing and coordination in distributed scheduling is impossible, resource collisions in the resource reservation are unavoidable. NR V2X copes with the problem by frequently changing resources, which also helps resolve the resource collisions with the vehicles that newly come into the mutual communication range. However, the random and frequent hopping between resources can itself cause resource collisions, which eventually leads to performance degradation by reducing the effectiveness of sensing. In this paper, we explore an alternative approach that does not require such frequent resource switching. We use a persistent scheduling where the selected resource is not changed unless there is an actual resource collision. To cope with the coincidental resource collisions, however, we supplement it with a broadcast feedback scheme. We show that the proposed scheduling approach leads to better performance than the standard semi-persistent scheduling scheme in terms of packet reception ratio (PRR), number of persistent collisions, and the length of consecutive collision events. The performance edge is maintained even with vehicle population churn.","PeriodicalId":194840,"journal":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","volume":"40 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":"121336870","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

Deep Learning Based Resource Allocation Method to Control System Capacity and Fairness for MU-MIMO THP 基于深度学习的MU-MIMO THP系统容量与公平性控制方法

2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) Pub Date : 2021-04-01 DOI: 10.1109/VTC2021-Spring51267.2021.9449018

Yukiko Shimbo, Hirofumi Suganuma, H. Tomeba, Takashi Onodera, F. Maehara

引用次数: 0