Interference alignment by motion

Recent years have witnessed increasing interest in interference alignment which has been demonstrated to deliver gains for wireless networks both analytically and empirically. Typically, interference alignment is achieved by having a MIMO sender precode its transmission to align it at the receiver....

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Main Authors: Adib, Fadel M., Suresh Kumar, Swarun, Aryan, Omid, Gollakota, Shyamnath, Katabi, Dina
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Association for Computing Machinery 2014
Online Access:http://hdl.handle.net/1721.1/87093
https://orcid.org/0000-0003-4071-4932
https://orcid.org/0000-0003-4854-4157
https://orcid.org/0000-0003-2593-2069
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author Adib, Fadel M.
Suresh Kumar, Swarun
Aryan, Omid
Gollakota, Shyamnath
Katabi, Dina
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Adib, Fadel M.
Suresh Kumar, Swarun
Aryan, Omid
Gollakota, Shyamnath
Katabi, Dina
author_sort Adib, Fadel M.
collection MIT
description Recent years have witnessed increasing interest in interference alignment which has been demonstrated to deliver gains for wireless networks both analytically and empirically. Typically, interference alignment is achieved by having a MIMO sender precode its transmission to align it at the receiver. In this paper, we show, for the first time, that interference alignment can be achieved via motion, and works even for single-antenna transmitters. Specifically, this alignment can be achieved purely by sliding the receiver's antenna. Interestingly, the amount of antenna displacement is of the order of one inch which makes it practical to incorporate into recent sliding antennas available on the market. We implemented our design on USRPs and demonstrated that it can deliver 1.98× throughput gains over 802.11n in networks with both single-antenna and multi- antenna nodes.
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spelling mit-1721.1/870932022-09-28T12:45:03Z Interference alignment by motion Adib, Fadel M. Suresh Kumar, Swarun Aryan, Omid Gollakota, Shyamnath Katabi, Dina Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Adib, Fadel M. Suresh Kumar, Swarun Aryan, Omid Katabi, Dina Recent years have witnessed increasing interest in interference alignment which has been demonstrated to deliver gains for wireless networks both analytically and empirically. Typically, interference alignment is achieved by having a MIMO sender precode its transmission to align it at the receiver. In this paper, we show, for the first time, that interference alignment can be achieved via motion, and works even for single-antenna transmitters. Specifically, this alignment can be achieved purely by sliding the receiver's antenna. Interestingly, the amount of antenna displacement is of the order of one inch which makes it practical to incorporate into recent sliding antennas available on the market. We implemented our design on USRPs and demonstrated that it can deliver 1.98× throughput gains over 802.11n in networks with both single-antenna and multi- antenna nodes. National Science Foundation (U.S.) 2014-05-22T16:47:02Z 2014-05-22T16:47:02Z 2013-09 Article http://purl.org/eprint/type/ConferencePaper 9781450319997 http://hdl.handle.net/1721.1/87093 Adib, Fadel, Swarun Kumar, Omid Aryan, Shyamnath Gollakota, and Dina Katabi. “Interference Alignment by Motion.” Proceedings of the 19th Annual International Conference on Mobile Computing & Networking - MobiCom ’13 (2013), September 30–October 4, Miami, FL, USA. https://orcid.org/0000-0003-4071-4932 https://orcid.org/0000-0003-4854-4157 https://orcid.org/0000-0003-2593-2069 en_US http://dx.doi.org/10.1145/2500423.2500449 Proceedings of the 19th annual international conference on Mobile computing & networking - MobiCom '13 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery MIT web domain
spellingShingle Adib, Fadel M.
Suresh Kumar, Swarun
Aryan, Omid
Gollakota, Shyamnath
Katabi, Dina
Interference alignment by motion
title Interference alignment by motion
title_full Interference alignment by motion
title_fullStr Interference alignment by motion
title_full_unstemmed Interference alignment by motion
title_short Interference alignment by motion
title_sort interference alignment by motion
url http://hdl.handle.net/1721.1/87093
https://orcid.org/0000-0003-4071-4932
https://orcid.org/0000-0003-4854-4157
https://orcid.org/0000-0003-2593-2069
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