TY - JOUR
T1 - Delivery phase in cache-based wireless networks with modified LT codes
AU - Raouf, Amir Hossein Fahim
AU - Abouei, Jamshid
AU - Jaseemuddin, Muhammad
AU - Uysal, Murat
N1 - Funding Information:
Jamshid Abouei (S05, M11, SM13) received the B.Sc. degree in Electronics Engineering and the M.Sc. degree in Communication Systems Engineering (with the highest honor) both from Isfahan University of Technology (IUT), Iran, in 1993 and 1996, respectively, and the Ph.D. degree in Electrical Engineering from University of Waterloo, Canada, in 2009. He joined with the Department of Electrical Engineering, Yazd University, Iran, in 1996 (as a Lecturer) and was promoted to Assistant Professor in 2010, and Associate Professor in 2015. From 1998 to 2004, he served as a Technical Advisor and Design Engineer in the R&D Center and Cable Design Department in SGCC, Iran. From 2009 to 2010, he was a Postdoctoral Fellow in the Multimedia Lab, in the Department of Electrical & Computer Engineering, University of Toronto, Canada, and worked as a Research Fellow at the Self-Powered Sensor Networks (ORF-SPSN) consortium. During his sabbatical, he was an Associate Researcher in the Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, Canada. Dr Abouei was the International Relations Chair in 27th ICEE2019 Conference, Iran, in 2019. Currently, Dr Abouei directs the research group at the Wireless Networking Laboratory (WINEL), Yazd University, Iran. His research interests are in the next generation of wireless networks (5G) and wireless sensor networks (WSNs), with a particular emphasis on PHY/MAC layer designs including the energy efficiency and optimal resource allocation in cognitive cell-free massive MIMO networks, multi-user information theory, mobile edge computing and femtocaching. Dr Abouei is a Senior IEEE member and a member of the IEEE Information Theory. He has received several awards and scholarships, including FOE and IGSA awards for excellence in research in University of Waterloo, Canada, MSRT Ph.D. Scholarship from the Ministry of Science, Research and Technology, Iran in 2004, Distinguished Researcher award in province of Yazd, Iran, 2011, and Distinguished Researcher award in Electrical Engineering Department, Yazd University, Iran, 2013. He is a recipient of the best paper award for the IEEE Iranian Conference on Electrical Engineering (ICEE 2018).
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/10
Y1 - 2020/10
N2 - Caching has emerged as an efficient technique to reduce delivery latency and network congestion. The focus of this paper is on content delivery in the caching-based wireless systems. In view of the fact that in such systems, users store fractional of popular contents during off-peak hours, we propose a modified version of the Luby Transform (MLT) encoding for the delivery phase to take the advantage of channel coding. The novelty of our proposed MLT encoding lies in employing the user's partial information to create an appropriate degree distribution. To evaluate our proposed scheme, this study considers a realistic channel model inspired by the Gilbert-Elliott channel including the erasure mode and a binary symmetric channel model. The effectiveness of our MLT encoding is analyzed by the average degree and the number of encoding symbol. A comprehensive simulation evaluation is performed which shows that MLT encoding outperforms conventional LT coding in terms of the required number of encoding symbols and demonstrates a better performance on the recovered symbols. In particular, the MLT encoding, compared to the conventional LT encoding, reduces the amount of required symbols to recover the original file for at least 20%, when the user stored more than half a file.
AB - Caching has emerged as an efficient technique to reduce delivery latency and network congestion. The focus of this paper is on content delivery in the caching-based wireless systems. In view of the fact that in such systems, users store fractional of popular contents during off-peak hours, we propose a modified version of the Luby Transform (MLT) encoding for the delivery phase to take the advantage of channel coding. The novelty of our proposed MLT encoding lies in employing the user's partial information to create an appropriate degree distribution. To evaluate our proposed scheme, this study considers a realistic channel model inspired by the Gilbert-Elliott channel including the erasure mode and a binary symmetric channel model. The effectiveness of our MLT encoding is analyzed by the average degree and the number of encoding symbol. A comprehensive simulation evaluation is performed which shows that MLT encoding outperforms conventional LT coding in terms of the required number of encoding symbols and demonstrates a better performance on the recovered symbols. In particular, the MLT encoding, compared to the conventional LT encoding, reduces the amount of required symbols to recover the original file for at least 20%, when the user stored more than half a file.
KW - Caching
KW - Delivery phase
KW - LT code
KW - Recovered symbols
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U2 - 10.1016/j.phycom.2020.101172
DO - 10.1016/j.phycom.2020.101172
M3 - Article
AN - SCOPUS:85088636059
SN - 1874-4907
VL - 42
JO - Physical Communication
JF - Physical Communication
M1 - 101172
ER -