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Eliminating Channel Feedback in Next-Generation Cellular Networks

Published: 14 November 2017 Publication History

Abstract

The high cost of cellular spectrum has motivated network providers to seek advanced MIMO techniques to improve spectral efficiency [2, 1]. Yet, only point-to-point MIMO multiplexing can be performed efficiently in current networks [3]. More advanced MIMO solutions, such as massive MIMO, coordinated multi-point, distributed MIMO, and multi-user MIMO, all require the base station to know the downlink channels prior to transmission. In the absence of this information, the base station cannot beamform its signal to its users

References

[1]
3rd Generation Partnership Project. Evolved Universal Terrestrial Radio Access (E-UTRA), Physical Channels and Modulation (Release 8), 3GPP. 2010.
[2]
R. Irmer, H. Droste, P. Marsch, M. Grieger, G. Fettweis, S. Brueck, H.-P. Mayer, L. Thiele, and V. Jungnickel. Coordinated multipoint: Concepts, performance, and field trial results. Communications Magazine, IEEE, 2011.
[3]
H. Ji, Y. Kim, J. Lee, E. Onggosanusi, Y. Nam, J. Zhang, B. Lee, and B. Shim. Overview of fulldimension MIMO in LTE-Advanced Pro. arXiv preprint, 2015.
[4]
S. Kumar, S. Gil, D. Katabi, and D. Rus. Accurate indoor localization with zero start-up cost. MobiCom, 2014.
[5]
D. Tse and P. Vishwanath. Fundamentals of wireless communications. Cambridge University Press, 2005.
[6]
D. Vasisht, S. Kumar, H. Rahul, and D. Katabi. Eliminating channel feedback in nextgeneration cellular networks. SIGCOMM, 2016.
[7]
H. Victor. Which 4G LTE bands do ATT, Verizon, T-Mobile and Sprint use in the USA? http://www.phonearena.com/news/Cheat-sheetwhich-4G-LTE-bands-do-AT-T-Verizon-TMobile-and-Sprint-use-in-the-USA_id77933.
[8]
J. Xiong and K. Jamieson. Arraytrack: A finegrained indoor location system. NSDI '13, 2013.

Cited By

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  • (2022)Deep Generative Models for Downlink Channel Estimation in FDD Massive MIMO SystemsIEEE Transactions on Signal Processing10.1109/TSP.2022.316367170(2000-2014)Online publication date: 1-Jan-2022

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Published In

cover image GetMobile: Mobile Computing and Communications
GetMobile: Mobile Computing and Communications  Volume 21, Issue 3
September 2017
34 pages
ISSN:2375-0529
EISSN:2375-0537
DOI:10.1145/3161587
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 November 2017
Published in SIGMOBILE-GETMOBILE Volume 21, Issue 3

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Cited By

View all
  • (2022)Deep Generative Models for Downlink Channel Estimation in FDD Massive MIMO SystemsIEEE Transactions on Signal Processing10.1109/TSP.2022.316367170(2000-2014)Online publication date: 1-Jan-2022

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