BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Africa/Johannesburg
BEGIN:STANDARD
DTSTART:19440319T010000
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:SAST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241217T091123Z
UID:3546BD0F-A0ED-433D-AB8F-3F01BA2519A6
DTSTART;TZID=Africa/Johannesburg:20241217T100000
DTEND;TZID=Africa/Johannesburg:20241217T110000
DESCRIPTION:Intelligent Reflecting Surfaces (IRS) have emerged as a transfo
 rmative technology for enhancing wireless communication by dynamically adj
 usting signal propagation. Their low power consumption makes IRS particula
 rly promising for improving energy efficiency (EE). This talk explores a n
 ovel approach to leveraging both optical IRS (OIRS) and radio frequency (R
 F) IRS to enhance aggregated visible light communication (VLC)-RF systems.
 \n\nA comprehensive model for IRS-assisted aggregated VLC-RF systems is pr
 esented\, alongside an EE maximization problem formulated to optimize syst
 em performance. The problem is decomposed into four interrelated subproble
 ms: RF IRS configuration\, optical subchannel assignment\, OIRS arrangemen
 t\, and joint power allocation. Using a block coordinate descent (BCD) app
 roach\, these subproblems are solved iteratively\, revealing significant E
 E improvements.\n\nSimulation results demonstrate the effectiveness of the
  proposed BCD-based resource allocation algorithm\, along with insights in
 to system parameter influence and algorithm convergence. This talk highlig
 hts the potential of IRS technology to revolutionize the design of energy-
 efficient next-generation communication systems.\n\nThis presentation is b
 ased on the paper: An\, N.\, Yang\, F.\, Cheng\, L.\, Song\, J.\, & Han\, 
 Z. (2024). IRS-assisted Aggregated VLC-RF System: Resource Allocation for 
 Energy Efficiency Maximization. IEEE Transactions on Wireless Communicatio
 ns\, Volume 23\, Issue 10\, pp. 12578–12593.\n\nSpeaker(s): Prof. Ling C
 heng\, \n\nVirtual: https://events.vtools.ieee.org/m/450273
LOCATION:Virtual: https://events.vtools.ieee.org/m/450273
ORGANIZER:filip.paluncic@up.ac.za
SEQUENCE:18
SUMMARY:Energy-Efficient Resource Allocation in Intelligent Reflecting Surf
 aces Assisted Aggregated VLC-RF Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/450273
X-ALT-DESC:Description: <br /><div>Intelligent Reflecting Surfaces (IRS) ha
 ve emerged as a transformative technology for enhancing wireless communica
 tion by dynamically adjusting signal propagation. Their low power consumpt
 ion makes IRS particularly promising for improving energy efficiency (EE).
  This talk explores a novel approach to leveraging both optical IRS (OIRS)
  and radio frequency (RF) IRS to enhance aggregated visible light communic
 ation (VLC)-RF systems. &nbsp\;</div>\n<div>&nbsp\;</div>\n<div>A comprehe
 nsive model for IRS-assisted aggregated VLC-RF systems is presented\, alon
 gside an EE maximization problem formulated to optimize system performance
 . The problem is decomposed into four interrelated subproblems: RF IRS con
 figuration\, optical subchannel assignment\, OIRS arrangement\, and joint 
 power allocation. Using a block coordinate descent (BCD) approach\, these 
 subproblems are solved iteratively\, revealing significant EE improvements
 . &nbsp\;</div>\n<div>&nbsp\;</div>\n<div>Simulation results demonstrate t
 he effectiveness of the proposed BCD-based resource allocation algorithm\,
  along with insights into system parameter influence and algorithm converg
 ence. This talk highlights the potential of IRS technology to revolutioniz
 e the design of energy-efficient next-generation communication systems.</d
 iv>\n<div>&nbsp\;</div>\n<div>This presentation is based on the paper: An\
 , N.\, Yang\, F.\,&nbsp\;<strong>Cheng\, L.</strong>\, Song\, J.\, &amp\; 
 Han\, Z. (2024). IRS-assisted Aggregated VLC-RF System: Resource Allocatio
 n for Energy Efficiency Maximization. IEEE Transactions on Wireless Commun
 ications\, Volume 23\, Issue 10\, pp. 12578&ndash\;12593.</div>
END:VEVENT
END:VCALENDAR