ANTENNA BEAMWIDTH OPTIMIZATION IN DIRECTIONAL DEVICE-TO-DEVICE COMMUNICATION USING MULTI-AGENT DEEP REINFORCEMENT LEARNING

Antenna Beamwidth Optimization in Directional Device-to-Device Communication Using Multi-Agent Deep Reinforcement Learning

Exploiting the millimeter wave (mmWave) band is an attractive solution to accommodate the bandwidth-intensive applications in device-to-device (D2D) communications.The directional nature of communications at mmWave frequencies and mobility of 5-49 C devices require beam alignment at both transmitter and receiver ends.The beam alignment signaling ov

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Reconsidering Representation in College Design Curricula

The Future of Design Education working group on representation addressed the roles of data, maps, models, and interfaces as a continuum from representation to action.The article traces historical ideas of representation grounded by a linguistic paradigm to more recent approaches based on performance, embodiment, Lightweight Transport Wheelchairs an

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High Power Irradiance Dependence of Charge Species Dynamics in Hybrid Perovskites and Kinetic Evidence for Transient Vibrational Stark Effect in Formamidinium

Hybrid halide BATH SALT SERENITY perovskites materials have the potential for both photovoltaic and light-emitting devices.Relatively little has been reported on the kinetics of charge relaxation upon intense excitation.In order to evaluate the illumination power density dependence on the charge recombination mechanism, we have applied a femtosecon

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Combustion and soot formation characteristics of homogeneous supercritical sprays of dieseline blend in constant volume chamber

In present work, combustion and soot formation characteristics of supercritical (SC) sprays are studied in a cylindrical constant volume combustion chamber under diesel engine-like experimental conditions.Hot surface temperature range (673 K to 723 K), initial cylinder pressure range (2 MPa to 4 MPa) and injection pressure range of 10 MPa to 30 MPa

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