0000000000377040

AUTHOR

Riku Jantti

0000-0002-5398-2381

showing 3 related works from this author

Low Latency Ambient Backscatter Communications with Deep Q-Learning for Beyond 5G Applications

2020

Low latency is a critical requirement of beyond 5G services. Previously, the aspect of latency has been extensively analyzed in conventional and modern wireless networks. With the rapidly growing research interest in wireless-powered ambient backscatter communications, it has become ever more important to meet the delay constraints, while maximizing the achievable data rate. Therefore, to address the issue of latency in backscatter networks, this paper provides a deep Q-learning based framework for delay constrained ambient backscatter networks. To do so, a Q-learning model for ambient backscatter scenario has been developed. In addition, an algorithm has been proposed that employ deep neur…

BackscatterWireless networkComputer science05 social sciencesReal-time computing0202 electrical engineering electronic engineering information engineering0507 social and economic geographyQ-learning020206 networking & telecommunicationsNetwork performance02 engineering and technology050703 geography5G2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Dual Connectivity in Non-Stand Alone Deployment mode of 5G in Manhattan Environment

2020

| openaire: EC/H2020/815191/EU//PriMO-5G The main target of this paper is to analyze the performance of an outdoor user in a dense micro cellular Manhattan grid environment using a ray launching simulation tool. The radio propagation simulations are performed using a Shoot and Bouncing Ray (SBR) method. The network performance is analyzed at three different frequencies i.e. 1.8 GHz, 3.5 GHz, and 28 GHz. Additionally, the benefits of combining LTE and potential 5G frequency bands by using feature of Dual Connectivity (DC) in an outdoor scenario has been highlighted. The considered performance metrics are received signal level, SINR, application throughput. The acquired simulation results fro…

Computer scienceReal-time computingystem performancetiedonsiirtotekniikat5G-tekniikka02 engineering and technology7. Clean energyRadio spectrumlangaton tiedonsiirto0203 mechanical engineeringSignal strength0202 electrical engineering electronic engineering information engineeringNetwork performancedual connectivitysuorituskykyray tracing020302 automobile design & engineering020206 networking & telecommunicationsGridtiedonsiirtoSystem performanceLTERadio propagationSoftware deploymentverkkoympäristöRay tracing (graphics)5G5Glangattomat verkot
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Microstructural evaluation and recommendations for face masks in community use to reduce the transmission of respiratory infectious diseases

2022

Funding Information: A.K., H.Y. and R.J. also acknowledges the funding through Academy of Finland BESIMAL (Decision No. 334197) and Aalto University, Department of Communications and Networking. This work has also received funding in part from the EPSRC UK (grant number EP/R012091/1). A.K. would also like to thank Mr. Volkan Kaplan for the fruitful discussions in the early concept generation. Publisher Copyright: © 2022 The Author(s) Background and Objective: Recommendations for the use of face masks to prevent and protect against the aerosols (≤5µm) and respiratory droplet particles (≥5µm), which can carry and transmit respiratory infections including severe acute respiratory syndrome coro…

virtauslaskentaSARS-CoV-2MasksCOVID-19Respiratory Aerosols and DropletsHealth InformaticsComputational fluid dynamicsCommunicable DiseasesComputer Science ApplicationskoronaviruksettaudinaiheuttajatAirborne pathogenX-ray microtomographykasvosuojaimetHumansaltistuminenFace masksFiltrationSoftware
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