Imperial College London
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ProfessorDenizGunduz

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor in Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 6218d.gunduz Website

 
 
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Assistant

 

Ms Joan O'Brien +44 (0)20 7594 6316

 
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Location

 

1016Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Somuyiwa:2017:10.23919/WIOPT.2017.7959874,
author = {Somuyiwa, S and Gyorgy, A and Gunduz, D},
doi = {10.23919/WIOPT.2017.7959874},
publisher = {IEEE},
title = {Energy-efficient wireless content delivery with proactive caching},
url = {http://dx.doi.org/10.23919/WIOPT.2017.7959874},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We propose an intelligent proactive content caching scheme  to  reduce  the  energy  consumption  in  wireless  downlink. We  consider  an  online  social  network  (OSN)  setting  where  new contents  are  generated  over  time,  and  remain relevant to  the user for a random lifetime. Contents are downloaded to the user equipment  (UE)  through  a  time-varying  wireless  channel  at  an energy cost that depends on the channel state and the number of contents downloaded. The user accesses the OSN at random time instants,  and  consumes  all  the  relevant  contents.  To  reduce  the energy  consumption,  we  propose proactive  caching of  contents under  favorable  channel  conditions  to  a  finite  capacity  cache memory. Assuming that the channel quality (or equivalently, the cost of downloading data) is memoryless over time slots, we show that  the  optimal  caching  policy,  which  may  replace  contents  in the  cache  with  shorter  remaining  lifetime  with  contents  at  the server  that  remain  relevant  longer,  has  a  threshold  structure with  respect  to  the  channel  quality.  Since  the  optimal  policy  is computationally demanding in practice, we introduce a simplified caching scheme and optimize its parameters using policy search. We  also  present  two  lower  bounds  on  the  energy  consumption. We demonstrate through numerical simulations that the proposed caching  scheme  significantly  reduces  the  energy  consumption compared to traditional reactive caching tools, and achieves close- to-optimal performance for a wide variety of system parameters.
AU  - Somuyiwa,S
AU  - Gyorgy,A
AU  - Gunduz,D
DO  - 10.23919/WIOPT.2017.7959874
PB  - IEEE
PY  - 2017///
TI  - Energy-efficient wireless content delivery with proactive caching
UR  - http://dx.doi.org/10.23919/WIOPT.2017.7959874
UR  - http://hdl.handle.net/10044/1/45524
ER  -
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