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DTSTART:20200308T030000
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DTSTART:20201101T010000
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DTSTAMP:20201001T161220Z
UID:94074321-A006-4E43-8139-ACB2F3E86E60
DTSTART;TZID=Canada/Eastern:20200930T090000
DTEND;TZID=Canada/Eastern:20200930T100000
DESCRIPTION:Terrestrial-Satellite Network (TSN) is critical for achieving t
 he integrated ground-air-space in 6G by its employment of flight equipment
 s to increase space resource diversity. The employment of flight equipment
 s and the equipped caching\, computing\, and communication (3C) resources 
 lead to the problem of multi-resource co-allocation while challenging the 
 objective of low delay\, large throughput\, and high energy efficiency. We
  focus on solving this problem in terms of the following aspects: firstly\
 , we will build a Nash bargaining model to implement the 3C resource alloc
 ation to maximize the user fairness guaranteed throughput. Secondly\, we w
 ill discuss about the optimization of the satellite-terrestrial allocation
  of the unmanned aerial vehicle (UAV) based relays. Moreover\, for the wea
 k coverage areas of the ground gateways\, we will discuss the mobile co-al
 location of multi-resource model for UAV-BS. Finally\, we will consider th
 e heterogeneous traffic data characteristics to build co-allocation of mul
 ti-resource models\, based on which the low delay constrained inter-satell
 ite relaying and routing mechanism and satellite-terrestrial store-and-for
 ward mechanism with high energy efficiency will be achieved.\n\nSpeaker(s)
 : Shu Fu\, \n\nVirtual: https://events.vtools.ieee.org/m/240949
LOCATION:Virtual: https://events.vtools.ieee.org/m/240949
ORGANIZER:l5zhao@ryerson.ca
SEQUENCE:1
SUMMARY:Collaborative Multi-Resource Allocation in Terrestrial-Satellite Ne
 twork (TSN) Towards 6G
URL;VALUE=URI:https://events.vtools.ieee.org/m/240949
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Terrestrial-Satellite Network (TSN) is cri
 tical for achieving the integrated ground-air-space in 6G by its employmen
 t of flight equipments to increase space resource diversity. The employmen
 t of flight equipments and the equipped caching\, computing\, and communic
 ation (3C) resources lead to the problem of multi-resource co-allocation w
 hile challenging the objective of low delay\, large throughput\, and high 
 energy efficiency. We focus on solving this problem in terms of the follow
 ing aspects: firstly\, we will build a Nash bargaining model to implement 
 the 3C resource allocation to maximize the user fairness guaranteed throug
 hput. Secondly\, we will discuss about the optimization of the satellite-t
 errestrial allocation of the unmanned aerial vehicle (UAV) based relays. M
 oreover\, for the weak coverage areas of the ground gateways\, we will dis
 cuss the mobile co-allocation of multi-resource model for UAV-BS. Finally\
 , we will consider the heterogeneous traffic data characteristics to build
  co-allocation of multi-resource models\, based on which the low delay con
 strained inter-satellite relaying and routing mechanism and satellite-terr
 estrial store-and-forward mechanism with high energy efficiency will be ac
 hieved.&lt;/p&gt;
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