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Bayesian Beamforming for Mobile Millimeter Wave Channel Tracking in the Presence of DOA Uncertainty
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
This paper proposes a Bayesian approach for angle-based hybrid beamforming and tracking that is robust to uncertain or erroneous direction-of-arrival (DOA) estimation in millimeter wave (mmWave) multiple input multiple ...
Epidemic Risk Assessment by a Novel Communication Station Based Method
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IEEE Computer Society
, 2022 , Article)
The COVID-19 pandemic has caused serious consequences in the last few months and trying to control it has been the most important objective. With effective prevention and control methods, the epidemic has been gradually ...
Toward SLAs Guaranteed Scalable VDC Provisioning in Cloud Data Centers
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Cloud computing has been a cost-efficient paradigm for deploying various applications in datacenters in recent years. Therefore, efficient provisioning for virtual data center (VDC) requests from different service providers ...
Location-Based Seeds Selection for Influence Blocking Maximization in Social Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Influence blocking maximization (IBM) is a key problem for viral marketing in competitive social networks. Although the IBM problem has been extensively studied, existing works neglect the fact that the location information ...
HoliTrust-A holistic cross-domain trust management mechanism for service-centric internet of things
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Internet of Things (IoT) is proposed and used in diverse application domains. In IoT, nodes commonly have a low capacity to maintain security on their own expenses, which increases the vulnerability for several attacks. ...
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
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Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...
A Practical Cross Device Federated Learning Frame-work over 5G N etworks
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its potential to make full use of data without ...
Prediction-based delay optimization data collection algorithm for underwater acoustic sensor networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The past years have seen a rapid development of autonomous underwater vehicle-aided (AUV-aided) data-gathering schemes in underwater acoustic sensor networks (UASNs). The use of AUVs efficiently reduces energy consumption ...
Market-Based Model in CR-IoT: A QProbabilistic Multi-agent Reinforcement Learning Approach
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The ever-increasing urban population and the corresponding material demands have brought unprecedented burdens to cities. To guarantee better QoS for citizens, smart cities leverage emerging technologies such as the Cognitive ...
LightTrust: Lightweight Trust Management for Edge Devices in Industrial Internet of Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
The phenomenal increase in the usage of Internet promotes the quality of trust in the scope of Internet of Things (IoT). Trust is beneficial in the provision of an effective, reliable, scalable, and trustworthy environment ...