Rahatara Ferdousi, M. A. Hossain, Abdulmotaleb El Saddik
{"title":"IoT-enabled model for Digital Twin Of Mental Stress (DTMS)","authors":"Rahatara Ferdousi, M. A. Hossain, Abdulmotaleb El Saddik","doi":"10.1109/GCWkshps52748.2021.9681996","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681996","url":null,"abstract":"Stress has become one of the mental health adversaries of the COVID-19 pandemic. Several stressors like fear of infection, lockdown, and social distancing are commonly accountable for the stress. The existing stress prediction systems are less compatible to handle diversly changing stressors during COVID-19. The traditional approaches often use incomplete features from limited sources (e.g., only wearable sensor or user device) and static prediction techniques. The Edge Artificial Intelligence (Edge AI) employs machine learning to make data from these sources usable for decision making. Therefore, In this study, we propose a Digital Twin of Mental Stress (DTMS) model that employs IoT-based multimodal sensing and machine learning for mental stress prediction. We obtained 98% accuracy for four widely used Machine Learning(ML) algorithms Naïve Bayes(NB), Random Forest(RF), Multilayer Perceptron(MLP), and Decision Tree (DT). The optimal Digital Twin Features (DTF) could reduce the classification time.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"42 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":"88364161","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}
{"title":"A Secure and Efficient Mutual Authentication Protocol Framework for Unmanned Aerial Vehicles","authors":"Gaurang Bansal, B. Sikdar","doi":"10.1109/GCWkshps52748.2021.9682006","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682006","url":null,"abstract":"With their vast range of uses, unmanned aerial vehicles (UAVs, or drones) are becoming more popular. However, the security and privacy of these UAV-based applications remains a worry. Man-in-the middle, replay and physical assaults are all risks that may be faced by unmanned aerial vehicles. To counteract these threats and weaknesses, we present a light-weight mutual authentication system that provides network and communication security. PUFs, a digital fingerprint device, are used to guard against physical and masquerade assaults in the proposed protocol. Compared to existing state-of-the-art protocols, the suggested protocol is secure, resilient, and quick.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"65 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":"86261051","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}
{"title":"Nearly Optimal Algorithm for Placing Content-Replication in Elastic Optical Networks","authors":"T. Miyamura, A. Misawa","doi":"10.1109/GCWkshps52748.2021.9681968","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9681968","url":null,"abstract":"We propose a network-aware light-weight content-replication placement algorithm (NetLCP) for efficient large-scale content distribution in elastic optical networks. We previously proposed an architecture of information-centric elastic optical transport networks called i-CEON for efficient large-scale content delivery. In i-CEON, we deploy in-network cache functions (ICFs) to reduce redundant use of network resources. The key lies in how to adequately place replicated content in ICFs so as to improve the efficiency of optical paths. In our previous work, we formulated the joint optimization of such a problem as mixed integer linear programming. Though the previous method always finds the optimal solutions, it fails to ensure network scalability and quick responsiveness. To overcome this issue, we develop a nearly optimal heuristic algorithm called NetLCP that improves efficiency of network resources with practical computational overhead. We conducted intensive numerical experiments and demonstrated that NetLCP always found nearly optimal solutions and indicated fewer than 10% of approximation errors compared with the optimal solutions.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"1 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90185359","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}
F. Riera-Palou, G. Femenias, Jan García-Morales, H. Ngo
{"title":"Selective Infrastructure Activation in Cell-free Massive MIMO: a Two Time-scale Approach","authors":"F. Riera-Palou, G. Femenias, Jan García-Morales, H. Ngo","doi":"10.1109/GCWkshps52748.2021.9682022","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682022","url":null,"abstract":"This paper recasts the concept of base station selective activation to the case of cell-free massive MIMO (CF-M-MIMO) networks as a means of pursuing a variety of quality and/or operational metrics. Two different mechanisms are examined that operate at two distinct time-scales. The first one relies on the users’ mobility patterns (very long time-scale) while the second one exploits the selectivity of the large-scale channel gains linking users and access points (short time-scale). A novel algorithm is proposed to conduct this latter form of adaptation that is able to drastically reduce the fronthaul requirements of the network with hardly any performance penalty. Results are presented illustrating how the two mechanisms can be synergistically combined under either centralized or distributed precoding schemes.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"88 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83056853","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}
Xuemeng Liu, Changyang She, Yonghui Li, B. Vucetic
{"title":"Edge-Wise Gated Graph Neural Network for User Association in Massive URLLC","authors":"Xuemeng Liu, Changyang She, Yonghui Li, B. Vucetic","doi":"10.1109/GCWkshps52748.2021.9682005","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682005","url":null,"abstract":"To support ultra-reliable and low-latency communications with massive connections, we develop a novel user association algorithm in mobile edge computing with grant-free random access based on an edge-wise gated graph neural network (EG-GNN). The parameters of the EG-GNN are trained in an unsupervised manner by minimizing the overall packet loss probability, including the decoding error probability of short packet transmissions, the collision probability of random access, and the processing delay violation probability in edge servers. By representing the wireless network by a bipartite graph with base station nodes and device nodes, we apply the EG-GNN to user association, where the \"gate\" of an edge is defined as the probability that a device will associate with a BS. The values gates are determined by a fully connected neural network at each device node. To improve the training efficiency, analytical results in wireless communications and queueing theory are exploited to update node features. Simulation and analytical results demonstrate that the proposed EG-GNN approach outperforms existing benchmarks in terms of overall reliability with linear complexity.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"1998 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":"88194291","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}
Anika Tabassum Bristy, Rahatara Ferdousi, A. Hossain, M. Islam, M. A. Hossain, Abdulmotaleb El Saddik
{"title":"Post COVID-19 Intelligent Public Healthcare Management","authors":"Anika Tabassum Bristy, Rahatara Ferdousi, A. Hossain, M. Islam, M. A. Hossain, Abdulmotaleb El Saddik","doi":"10.1109/GCWkshps52748.2021.9682056","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682056","url":null,"abstract":"Epidemic outbreaks are collective effects of ongoing globalization, urbanisation, population mobility, climate change, demographic change and evolution of newer strains of infectious agents that result in high morbidity, mortality and huge financial loss, such as COVID-19. Thus, the early prediction of the emergence of a disease can play a pivotal role to prevent a disease to become epidemic. The Edge AI based solution has been proposed for healthcare prediction using machine learning (ML). In this paper, our focus is to propose ML based advanced model for public healthcare to reduce and control epidemic outbreaks. Collective knowledge from interconnected disciplines, shared data repository, and diverse roles have been embedded into the proposed framework. An evaluation based on actual COVID-19 related data demonstrates that ML can be used for COVID risk prediction for public health data as well as to take preventive steps to combat epidemics in early-stage.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"37 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":"77300412","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}
{"title":"Multi-polarized Channel Model and Performance Analysis for Massive MIMO Systems","authors":"Manlin Wang, Yinghong Guo, Bin Xia","doi":"10.1109/GCWkshps52748.2021.9682142","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682142","url":null,"abstract":"Antenna polarization is a promising resource for improving antenna array compactness in space-limited scenarios that have not been fully exploited. In this paper, we investigate the effect of the multi-polarization on the performance of the massive multiple-input multiple-output (MIMO) system. Traditional MIMO channel modeling and performance analysis methods are based on the plane wavefront, wide-sense stationary, and small-angle assumptions, which is not suitable when the scatterers are distributed within the Rayleigh distance of the antenna arrays for the massive MIMO system. To this end, we first propose a multi-polarized stochastic channel model by considering the antenna pattern and the channel polarization properties. The parabolic wavefront and environment evolution effects are also incorporated into the proposed model to accurately characterize the near-field effect and non-stationary characteristics of the massive MIMO system. We then derive the analytical and closed-form expressions of the spatial cross-correlation function (SCF) to evaluate the statistical channel characteristics of the multi-polarized system. Numerical results show an excellent agreement between the simulated channels and the theoretical ones in terms of the SCF. Besides, simulation results also indicate that it is beneficial to reduce the correlation between antennas and increase channel capacity by employing the multi-polarized antennas, especially for compact antenna arrays.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"76 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":"78051868","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}
{"title":"High-Speed Packetization for 5G Advanced","authors":"Donggun Kim, S. Baek, Jaehyuk Jang, Daegyun Kim","doi":"10.1109/GCWkshps52748.2021.9682044","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682044","url":null,"abstract":"The first (Release 15) 5G communication standard called NR was completed by the 3rd Generation Partnership Project (3GPP). One of the key changes deviated from 4G communication standard called LTE is to design a new data structure enabling pre-processing and application of hardware accelerator to reduce data processing time. However, User Plane Integrity Protection (UPIP) was adopted to provide secure communication as a mandatory feature in the late stage of Release 16, which incurs significant performance degradation on data processing. In this paper, maximum Service Data Unit (mSDU) processing approach is proposed to achieve high data rates with robust security, which still enables pre-processing and application of hardware accelerator. Theoretical analysis proves that mSDU processing outperforms the legacy NR data processing with respect to overhead, processing time, and data throughput. In numerical results, it is showed that mSDU processing provides performance gain over 60%, compared with the legacy NR data processing.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"37 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":"75195725","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}
{"title":"Deep Neural Network based Minimum Length Scheduling in Wireless Powered Communication Networks","authors":"N. Khan, S. Coleri","doi":"10.1109/GCWkshps52748.2021.9682169","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682169","url":null,"abstract":"Minimization of schedule length is key in ensuring the delay performance of wireless powered communication networks (WPCNs) demanding strict timing and reliability guarantees. Previous solution methodologies proposed for these wireless networks suffer from high run-time complexity, making it very difficult to solve the problem in real time. This paper considers a run-time efficient deep learning based approach for solving minimum length scheduling problem in a full-duplex WPCN. Leveraging upon the universal approximation capability of neural networks, a multi-output feed forward deep neural network based framework is proposed where inputs are the channel coefficients and outputs are the optimal power, transmission length and schedule of users. Simulation results indicate that the proposed deep learning based approach can very well approximate the true outputs with a percentage error below 1% for different network configurations while maintaining a very low run-time complexity.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"113 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":"75756406","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}
{"title":"The Air to Ground Clutter Loss Measurements and Modelling Below 10 GHz","authors":"Zhimeng Zhong, Cen Ling","doi":"10.1109/GCWkshps52748.2021.9682017","DOIUrl":"https://doi.org/10.1109/GCWkshps52748.2021.9682017","url":null,"abstract":"6G-7G Hz (U6G) is one promising frequency band and will be utilized in 5G evolution period, but this frequency band has been occupied by non-terrestrial network (NTN) networks in some countries. The interference assessment between NTN and 5G evolution services in U6G is one of key issues needed to be considered before the large-scale deployment of U6G band in 5G evolution. Therefore, the clutter loss (CL) model is pivotal to the different systems co-existence evaluations. ITU-R has issued a Recommendation (ITU-R P.2108) giving CL model for the estimation of clutter loss at three different terminal environments for varied frequency range. However, the clutter loss model for NTN environment in ITU-R P.2108 only supports the frequency range from 10G Hz to 100 GHz and can be applicable to the terminal heights of below 5 m. In this paper, the clutter loss measurement and simulation below 10 GHz for NTN scenario has been conducted at different terminal heights on the ground in urban and suburban environments. Furthermore, the CL model is extended to the frequency bands below 10G Hz. In the proposed CL model, the terminal height is considered, which has high impact on the CL results. Taking 4-6m base station height as a baseline, we provide different ground station height results analysis based on both real measurement and ray-tracing simulation. An additional adjusting factor α is modelled to reflect different antenna height characteristics. The CL model will be adopted to the NTN and 5G evolution systems co-existence evaluation.","PeriodicalId":6802,"journal":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","volume":"20 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74423909","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}