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DTSTAMP:20241229T005539Z
UID:4F27F702-4FB9-48FB-9558-64343284E775
DTSTART;TZID=America/Denver:20240625T113000
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DESCRIPTION:The continuous proliferation of wireless technologies\, from 5G
  communications to the Internet of Things\, creates a compelling need to i
 ntelligently plan the deployment of such systems in indoor and outdoor env
 ironments. This planning is required to meet the desired Quality of Servic
 e objectives (e.g. high bit-rates for Wi-Fi networks) along with safety st
 andards for exposure of users to radiated emissions\, and to ensure compat
 ibility with existing systems. Wireless propagation modeling\, which is th
 e prediction of the electromagnetic field levels generated by a wireless c
 ommunication system\, is an essential element of such an intelligent plann
 ing process. These models can be deduced by numerical algorithms based on 
 the physics of electromagnetic wave propagation\, or by measurements. Nume
 rical prediction methods require a high level of relevant expertise and si
 gnificant computational resources. As a result\, wireless service planning
  mostly relies on resource-consuming measurement campaigns. Software-based
  planning is a reality in several areas\, including the design of environm
 entally friendly buildings\, where simulation tools are used to optimize h
 eat and air flow. The question is how to enable a similar approach for wir
 eless infrastructure that is becoming as indispensable as any other infras
 tructure element.\n\nSpeaker(s): Dr. Sarris\n\nRoom: 516\, Bldg: ICT\, 856
  Campus Pl NW\, Calgary\, Alberta\, Canada\, T2N4V8
LOCATION:Room: 516\, Bldg: ICT\, 856 Campus Pl NW\, Calgary\, Alberta\, Can
 ada\, T2N4V8
ORGANIZER:zahra.abbasi@ucalgary.ca
SEQUENCE:35
SUMMARY:Dr. Costas Sarris: The transformative impact of machine learning en
 abled computational electromagnetics on the future of wireless
URL;VALUE=URI:https://events.vtools.ieee.org/m/422277
X-ALT-DESC:Description: <br /><p style="width: 70%\;">The continuous prolif
 eration of wireless technologies\, from 5G communications to the Internet 
 of Things\, creates a compelling need to intelligently plan the deployment
  of such systems in indoor and outdoor environments. This planning is requ
 ired to meet the desired Quality of Service objectives (e.g. high bit-rate
 s for Wi-Fi networks) along with safety standards for exposure of users to
  radiated emissions\, and to ensure compatibility with existing systems. W
 ireless propagation modeling\, which is the prediction of the electromagne
 tic field levels generated by a wireless communication system\, is an esse
 ntial element of such an intelligent planning process. These models can be
  deduced by numerical algorithms based on the physics of electromagnetic w
 ave propagation\, or by measurements. Numerical prediction methods require
  a high level of relevant expertise and significant computational resource
 s. As a result\, wireless service planning mostly relies on resource-consu
 ming measurement campaigns. Software-based planning is a reality in severa
 l areas\, including the design of environmentally friendly buildings\, whe
 re simulation tools are used to optimize heat and air flow. The question i
 s how to enable a similar approach for wireless infrastructure that is bec
 oming as indispensable as any other infrastructure element.</p>
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