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DTSTAMP:20241125T043010Z
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DTSTART;TZID=America/Los_Angeles:20241121T180000
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DESCRIPTION:To meet the low latency demands of emerging Communication\, Con
 trol\, and Computation (CCC) intensive vehicular networks\, offloading the
 se services to the roadside units\, edge/cloud servers\, and Unmanned Aeri
 al Vehicles (UAV) has proven to be an effective approach. However\, the li
 mited network resources present significant challenges in developing an ef
 ficient resource allocation strategy. Balancing latency\, throughput\, and
  resource utilization is considered to be critical to ensure optimal perfo
 rmance in such ad hoc communication networks. In this study\, we investiga
 ted the throughput and transmission delay performances for real-time and d
 elay-sensitive services using a repeated game-theoretic approach. By emplo
 ying Nash Equilibrium within a non-cooperative game model\, we analyzed th
 e efficiency of resource allocation strategies. Simulation results demonst
 rated notable improvements in resource allocation efficiency\, validating 
 the effectiveness of our approach.\n\nSpeaker(s): Dr. Kun HUa\, \n\nVirtua
 l: https://events.vtools.ieee.org/m/446300
LOCATION:Virtual: https://events.vtools.ieee.org/m/446300
ORGANIZER:taufik@ieee.org
SEQUENCE:16
SUMMARY:Game Theory-based Resource Allocation for Vehicular Communication 
 Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/446300
X-ALT-DESC:Description: <br /><p><span data-olk-copy-source="MessageBody">T
 o meet the low latency demands of emerging Communication\, Control\, and&n
 bsp\;Computation (CCC) intensive vehicular&nbsp\;networks\, offloading the
 se services to the roadside units\, edge/cloud servers\, and Unmanned Aeri
 al Vehicles&nbsp\;(UAV)&nbsp\;has proven to be an effective approach. Howe
 ver\, the limited network resources present significant challenges in deve
 loping an efficient resource allocation strategy. Balancing latency\, thro
 ughput\, and resource utilization is considered to be critical to ensure o
 ptimal performance in such ad hoc communication networks.&nbsp\;In this st
 udy\, we&nbsp\;investigated&nbsp\;the throughput and transmission delay pe
 rformances for real-time and delay-sensitive services using&nbsp\;a repeat
 ed game-theoretic approach. By employing Nash Equilibrium within a non-coo
 perative game model\, we analyzed the efficiency of resource allocation st
 rategies. Simulation results demonstrated notable improvements in resource
  allocation efficiency\, validating the effectiveness of our approach.</sp
 an></p>
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