2021 IEEE Globecom Workshops (GC Wkshps)最新文献_第5页

Deep Learning Approaches for Mobile Trajectory Prediction 移动轨迹预测的深度学习方法

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682164

Yannis Filippas, A. Margaris, K. Tsagkaris

{"title":"Deep Learning Approaches for Mobile Trajectory Prediction","authors":"Yannis Filippas, A. Margaris, K. Tsagkaris","doi":"10.1109/GCWkshps52748.2021.9682164","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682164","url":null,"abstract":"Mobility analytics is a very critical research topic related closely with the wide field of human behavior analysis. Mobility trajectory prediction refers to the model-based projection of an individual’s location in the foreseeable future, within the boundaries of a predefined area. This information is proved to be an important input for information systems in multiple ICT-related scientific fields. Various algorithms have been proposed so far for solving this problem, however, traditional predictive approaches are shown to underperform in accuracy and reliability. This leaves room for more sophisticated, deep-learning modeling formulations. Framed within this statement, the focus in this paper is placed on contemporary deep learning approaches for trajectory prediction and more specifically, sequential machine learning models such as the Social GAN, Trajectory Transformer, and the proposed scheme, which is based on a customized GRU neural network extended with the attention mechanism. The three approaches are theoretically described and most importantly, they are implemented, validated, and evaluated on top of a realistic experimental platform and based on both simulated mobility data and open-source mobility datasets. The evaluation process of the models takes into consideration ml regression error metrics, qualitative 2D projection but also system aspects such as training complexity in the form of hyperparameter order. The results indicate that our proposed scheme outweighs SotA deep learning approaches by 29% in terms of Mean Displacement Error and by a factor of thousands in computation complexity, making it a realistic candidate for latency-sensitive applications, placed at edge computing nodes with limited processing capabilities.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"265 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76726321","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

Stochastic Modelling of LoS Aggregate Interference in Uplink of Aerial Base Station-assisted Network 空中基站辅助网络上行链路LoS聚合干扰的随机建模

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682095

Francesco Linsalata, M. Magarini, U. Spagnolini

{"title":"Stochastic Modelling of LoS Aggregate Interference in Uplink of Aerial Base Station-assisted Network","authors":"Francesco Linsalata, M. Magarini, U. Spagnolini","doi":"10.1109/GCWkshps52748.2021.9682095","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682095","url":null,"abstract":"The progress in unmanned aerial vehicles technology nowadays is boosting the development of Aerial Base Station (ABS) systems to provide on-demand Line of Sight (LoS) uplink connectivity. The limited capacity of wireless networks in a crowed area could result in temporary connectivity congestion. To face with this problem, the deployment of ABS to support the offloading of the demand could represent a solution in the next future. In fact, the ground-to-air channels experience limited scattering and the probability of having only LoS link above a certain altitude is higher than ground-to-ground communications. LoS prevalence provides a stable and reliable link for a target ground user, but interference impairs the communication itself, thus affecting the connectivity. Starting from the above considerations, the aim of this paper is to investigate a stochastic framework to model the impact of the uplink LoS aggregated users interference to derive the outage probability. The interfering nodes, i.e. user equipments accessing the same network cell, are scattered on the ground according to a Poisson point process in the two dimensional area. First, we show analytically how essential physical parameters involved in the ground-to-air communication affect the quality of service. Then, the mathematical derivation is validated by means of numerical simulations.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"71 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77560409","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

Double-RIS Assisted Over-the-Air Computation 双ris辅助空中计算

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682077

Jun Li, Min Fu, Yong Zhou, Yuanming Shi

{"title":"Double-RIS Assisted Over-the-Air Computation","authors":"Jun Li, Min Fu, Yong Zhou, Yuanming Shi","doi":"10.1109/GCWkshps52748.2021.9682077","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682077","url":null,"abstract":"Over-the-air computation (AirComp) is a promising multiple-access scheme that seamlessly integrates the computation and communication by leveraging the waveform superposition properly of a multiple access channel. To unleash the full potential of AirComp, in this paper, we present a double-RIS assisted multiple-input multiple-output AirComp system, where two RISs are deployed to extend the effective coverage area and enhance the channel quality of randomly distributed sensors. We consider the cooperative passive beamforming design at RISs to further improve the performance. Our objective is to minimize the mean-squared error of AirComp by jointly optimizing the receive beamforming, denoising factor, transmit power control, cooperative passive beamforming design. The formulated problem is challenging to be optimally solved due to the coupled cooperative passive beamforming and transceiver variables. To this end, we propose an efficient algorithm based on the block coordinate descent method and semidefinite relaxation to obtain the receive beamforming at the AP and the cooperative passive beamforming at RISs after deriving the closed-form solutions for denoising factor and transmit power control. The numerical results validate that the double-RIS assisted AirComp system achieves a better performance compared to the single-RIS baseline in various system settings.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"6 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80348673","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

An Unorthodox Security Framework using Adapted Blockchain Architecture for Internet of Drones 无人机互联网使用改编区块链架构的非正统安全框架

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682109

Maninderpal Singh, G. Aujla, R. S. Bali

{"title":"An Unorthodox Security Framework using Adapted Blockchain Architecture for Internet of Drones","authors":"Maninderpal Singh, G. Aujla, R. S. Bali","doi":"10.1109/GCWkshps52748.2021.9682109","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682109","url":null,"abstract":"The evolution of drones from military applications to the consumer world has seen many technological developments. COVID-19 pandemic also witnessed the deployment of drones in a large number of citizen-centric applications. The increasing number of drones and limited operational arena should have a well-suited ecosystem for the success of collaborative operations. As a result, the Internet of Drones (IoD) emerged as a modular framework employing algorithmic coordination of drones. Although these developments have been welcomed they bring along a wide range of security challenges. Drones are highly mobile and they rely on wireless links to communicate among themselves and with the infrastructure. Moreover, they carry a lot of data related to the application where they are deployed. Thus, this brings attention to the security aspects involved in the IoD ecosystem, including various challenges and the mechanisms available to address those challenges. Though several conventional security techniques (like encryption, encoding, and hashing) are already available they are not fully optimized for the IoD environment. This mechanism involves an associated overhead and trade-offs when deployed in the IoD scenario due to limited computational capability of drones. Hence, this brings the necessity to explore alternative security mechanisms like blockchain. However, the conventional blockchain has its limitation of heavy computational primitives (like mining) and may not be useful for the IoD. Hence, we have proposed an unorthodox security framework using an adapted blockchain architecture for IoD. This unorthodox mechanism was validated in a simulated environment and proved to be suitable for the IoD ecosystem.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82349248","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

LMS Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON Systems in 5G-Enabled Industrial Internet 5g工业互联网中IM/DD-OFDM/OQAM-PON系统的LMS信道估计算法

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682111

Siyuan Liang, Xuefen Wang, Jianbo Du, Feng Zhao, Haotong Cao

引用次数: 1

Network Intelligence with Quantum Computing in 6G and B6G: Design Principles and Future Directions 6G和B6G中量子计算的网络智能:设计原则和未来方向

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682045

Francesco Vista, V. Musa, G. Piro, L. Grieco, G. Boggia

引用次数: 4

Degree-aware In-network Aggregation for Federated Learning with Fog Computing 基于雾计算的联邦学习的度感知网络内聚合

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682059

Wan-Ting Ho, S. Fang, Tingfeng Liu, Jian-Jhih Kuo

引用次数: 0

Securing Aerial Offloading via Intelligent Omni-Surface 通过智能全曲面确保空中卸载

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9682087

Wen Wang, Wanli Ni, Hui Tian

引用次数: 2

Chernoff Bound and Saddlepoint Approximation for Outage Probability in IRS-Assisted Wireless Systems irs辅助无线系统中断概率的Chernoff界和Saddlepoint逼近

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/GCWkshps52748.2021.9681955

Tianxiong Wang, Gaojie Chen, J. Coon, Mihai-Alin Badiu

引用次数: 5

TPC Message TPC消息

2021 IEEE Globecom Workshops (GC Wkshps) Pub Date : 2021-12-01 DOI: 10.1109/gcwkshps52748.2021.9681941

引用次数: 0