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Wireless Network Compression Via Memory-Enabled Overhearing Helpers | IEEE Journals & Magazine | IEEE Xplore

Wireless Network Compression Via Memory-Enabled Overhearing Helpers


Abstract:

Traces derived from real-world traffic show that significant redundancy exists at the packet level in mobile network traffic. This has inspired new solutions to suppress ...Show More

Abstract:

Traces derived from real-world traffic show that significant redundancy exists at the packet level in mobile network traffic. This has inspired new solutions to suppress the redundancy present in the packet data to manage the explosive traffic. In this paper, we propose a novel approach to performing redundancy elimination by employing universal compression using memory-enabled overhearing helpers without backhaul connectivity, referred to as wireless network compression. The helpers overhear the data packets previously sent by the wireless gateway to various mobile clients within their coverage and use them as side information to reduce the overall communication cost. We study wireless network compression via overhearing helpers from an information-theoretic point of view and conclude that this approach potentially offers a threefold benefit: 1) offloading the wireless gateway and hence increasing the maximum number of mobile nodes the gateway can reliably serve; 2) reducing the average packet delay; and 3) improving the overall throughput in the network.
Published in: IEEE Transactions on Wireless Communications ( Volume: 15, Issue: 1, January 2016)
Page(s): 176 - 190
Date of Publication: 14 August 2015

ISSN Information:

Funding Agency:

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
Georgia Institute of Technology, Atlanta, GA, USA
Ahmad Beirami (S’07) received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. Currently, he is a Postdoctoral Associate jointly affiliated with the Information Initiative at Duke (iiD) and the Research Labo...Show More
Ahmad Beirami (S’07) received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. Currently, he is a Postdoctoral Associate jointly affiliated with the Information Initiative at Duke (iiD) and the Research Labo...View more
Electronic Arts, Inc., Redwood City, CA, USA
Georgia Institute of Technology, Atlanta, GA, USA
Mohsen Sardari received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.S.E.C.E. and Ph.D. degrees from the School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA, USA, in 2010 and 2013, respectively. He is currently a Data Scientist with Electronic Arts, Inc., Redwood City, CA, USA. His research interests include ...Show More
Mohsen Sardari received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.S.E.C.E. and Ph.D. degrees from the School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA, USA, in 2010 and 2013, respectively. He is currently a Data Scientist with Electronic Arts, Inc., Redwood City, CA, USA. His research interests include ...View more
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Faramarz Fekri (S’91–M’00–SM’03) received the Ph.D. degree from Georgia Institute of Technology, Atlanta, GA, USA, in 2000. Since 2000, he has been with the Faculty of the School of Electrical and Computer Engineering, Georgia Institute of Technology, where he currently holds a Professor position. His research interests include communications and signal processing, in particular, source and channel coding, information the...Show More
Faramarz Fekri (S’91–M’00–SM’03) received the Ph.D. degree from Georgia Institute of Technology, Atlanta, GA, USA, in 2000. Since 2000, he has been with the Faculty of the School of Electrical and Computer Engineering, Georgia Institute of Technology, where he currently holds a Professor position. His research interests include communications and signal processing, in particular, source and channel coding, information the...View more

Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA
Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA
Georgia Institute of Technology, Atlanta, GA, USA
Ahmad Beirami (S’07) received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. Currently, he is a Postdoctoral Associate jointly affiliated with the Information Initiative at Duke (iiD) and the Research Laboratory of Electronics (RLE), MIT. His research interests include information theory, cyber security, machine learning, statistics, and networks. He is the coauthor of a paper that received the Best Student Paper nomination in IEEE Midwest Symposium on Circuits and Systems in 2008. His Ph.D. work received the Center for Signal and Information Processing Outstanding Research Award in 2014, the 2013–2014 School of ECE Graduate Research Excellence Award, and the 2015 Sigma Xi Best Ph.D. Thesis Award, all from Georgia Institute of Technology.
Ahmad Beirami (S’07) received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, GA, USA, in 2011 and 2014, respectively. Currently, he is a Postdoctoral Associate jointly affiliated with the Information Initiative at Duke (iiD) and the Research Laboratory of Electronics (RLE), MIT. His research interests include information theory, cyber security, machine learning, statistics, and networks. He is the coauthor of a paper that received the Best Student Paper nomination in IEEE Midwest Symposium on Circuits and Systems in 2008. His Ph.D. work received the Center for Signal and Information Processing Outstanding Research Award in 2014, the 2013–2014 School of ECE Graduate Research Excellence Award, and the 2015 Sigma Xi Best Ph.D. Thesis Award, all from Georgia Institute of Technology.View more
Electronic Arts, Inc., Redwood City, CA, USA
Georgia Institute of Technology, Atlanta, GA, USA
Mohsen Sardari received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.S.E.C.E. and Ph.D. degrees from the School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA, USA, in 2010 and 2013, respectively. He is currently a Data Scientist with Electronic Arts, Inc., Redwood City, CA, USA. His research interests include information theory, signal processing, large-scale data analytics, and machine learning.
Mohsen Sardari received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2007, and the M.S.E.C.E. and Ph.D. degrees from the School of Electrical and Computer Engineering (ECE), Georgia Institute of Technology, Atlanta, GA, USA, in 2010 and 2013, respectively. He is currently a Data Scientist with Electronic Arts, Inc., Redwood City, CA, USA. His research interests include information theory, signal processing, large-scale data analytics, and machine learning.View more
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Faramarz Fekri (S’91–M’00–SM’03) received the Ph.D. degree from Georgia Institute of Technology, Atlanta, GA, USA, in 2000. Since 2000, he has been with the Faculty of the School of Electrical and Computer Engineering, Georgia Institute of Technology, where he currently holds a Professor position. His research interests include communications and signal processing, in particular, source and channel coding, information theory in biology, statistical inference in large data, information processing for wireless and sensor networks, and communication security. He serves on the technical program committees of several IEEE conferences. He is an Associate Editor of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. In the past, he served on the Editorial Board of the IEEE Transactions on Communications, and the Elsevier Journal on PHYCOM. He received the National Science Foundation CAREER Award in 2001, Southern Center for Electrical Engineering Education (SCEEE) Young Faculty Development Award in 2003, and Outstanding Young Faculty Award of the School of ECE in 2006.
Faramarz Fekri (S’91–M’00–SM’03) received the Ph.D. degree from Georgia Institute of Technology, Atlanta, GA, USA, in 2000. Since 2000, he has been with the Faculty of the School of Electrical and Computer Engineering, Georgia Institute of Technology, where he currently holds a Professor position. His research interests include communications and signal processing, in particular, source and channel coding, information theory in biology, statistical inference in large data, information processing for wireless and sensor networks, and communication security. He serves on the technical program committees of several IEEE conferences. He is an Associate Editor of the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications. In the past, he served on the Editorial Board of the IEEE Transactions on Communications, and the Elsevier Journal on PHYCOM. He received the National Science Foundation CAREER Award in 2001, Southern Center for Electrical Engineering Education (SCEEE) Young Faculty Development Award in 2003, and Outstanding Young Faculty Award of the School of ECE in 2006.View more

References

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