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PRODID:IEEE vTools.Events//EN
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TZID:Asia/Hong_Kong
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DTSTART:19791021T023000
TZOFFSETFROM:+0900
TZOFFSETTO:+0800
TZNAME:HKT
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BEGIN:VEVENT
DTSTAMP:20160310T101743Z
UID:F2715C24-E5B6-11E7-833E-0050568D7F66
DTSTART;TZID=Asia/Hong_Kong:20150901T160000
DTEND;TZID=Asia/Hong_Kong:20150901T171500
DESCRIPTION:Proliferation of wireless devices and bandwidth greedy applicat
 ions drive the exponential growth of mobile data traffic that results in a
  dramatic increase in energy consumption in mobile networks. As the energy
  harvesting technologies advance\, renewable energy such as solar and wind
  energy will increasingly be utilized to power base stations (BSs) and red
 uce the brown energy consumption. Therefore\, powering mobile networks wit
 h green energy is expected to be one of the major solutions for future ene
 rgy efficient mobile networks. This talk covers the design and optimizatio
 n of green energy powered mobile networks.\nIt is challenging to design an
 d optimize such networks because of the dynamics of green energy availabil
 ity and mobile traffic. In this talk\, we present a network optimization f
 ramework recently proposed to optimize the green energy usage and the netw
 ork performance. This framework includes the multi-stage energy allocation
  algorithm that optimizes the energy allocation at different time slots an
 d the multi-BSs energy balancing algorithm that balances the traffic load 
 among BSs. On balancing mobile traffic loads\, a green energy aware and la
 tency aware user association is proposed to balance the traffic load among
  BSs according to the average traffic delivery latency and the green energ
 y usage in the network. The performances of the proposed schemes and algor
 ithms have been validated through in-depth theoretical analysis and extens
 ive simulations. Finally\, directions for future research are delineated.\
 nAcknowledgement: This work has been supported in part by the National Sci
 ence Foundation under grants CNS-1218181 and CNS-1320468.\n\nSpeaker(s): N
 irwan Ansari\, \n\nHong Kong\, Guangdong\, China
LOCATION:Hong Kong\, Guangdong\, China
ORGANIZER:r.cheung@cityu.edu.hk
SEQUENCE:0
SUMMARY:[Legacy Report] Seminar on Green Energy Enabled Mobile Networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/132544
X-ALT-DESC:Description: <br /><p>Proliferation of wireless devices and band
 width greedy applications drive the exponential growth of mobile data traf
 fic that results in a dramatic increase in energy consumption in mobile ne
 tworks. As the energy harvesting technologies advance\, renewable energy s
 uch as solar and wind energy will increasingly be utilized to power base s
 tations (BSs) and reduce the brown energy consumption. Therefore\, powerin
 g mobile networks with green energy is expected to be one of the major sol
 utions for future energy efficient mobile networks. This talk covers the d
 esign and optimization of green energy powered mobile networks.<br />It is
  challenging to design and optimize such networks because of the dynamics 
 of green energy availability and mobile traffic. In this talk\, we present
  a network optimization framework recently proposed to optimize the green 
 energy usage and the network performance. This framework includes the mult
 i-stage energy allocation algorithm that optimizes the energy allocation a
 t different time slots and the multi-BSs energy balancing algorithm that b
 alances the traffic load among BSs. On balancing mobile traffic loads\, a 
 green energy aware and latency aware user association is proposed to balan
 ce the traffic load among BSs according to the average traffic delivery la
 tency and the green energy usage in the network. The performances of the p
 roposed schemes and algorithms have been validated through in-depth theore
 tical analysis and extensive simulations. Finally\, directions for future 
 research are delineated.<br />Acknowledgement: This work has been supporte
 d in part by the National Science Foundation under grants CNS-1218181 and 
 CNS-1320468.</p>
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