Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays

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Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays

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Title: Compressive Sensing Based Channel Feedback Protocols for Spatially-Correlated Massive Antenna Arrays
Author: Kuo, Ping-Heng; Kung, H.T. T.; Ting, Pang-an

Note: Order does not necessarily reflect citation order of authors.

Citation: Kuo, Ping-Heng, H.T. Kung, and Pang-An Ting. 2012. Compressive sensing based channel feedback protocols for spatially-correlated massive antenna arrays. 2012 IEEE Wireless Communications and Networking Conference (WCNC 2012), Paris, France, April 1-5, 2012.
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Abstract: Incorporating wireless transceivers with numerous antennas (such as Massive-MIMO) is a prospective way to increase the link capacity or enhance the energy efficiency of future communication systems. However, the benefits of such approach can be realized only when proper channel information is available at the transmitter. Since the amount of the channel information required by the transmitter is large with so many antennas, the feedback is arduous in practice, especially for frequency division duplexing (FDD) systems. This paper proposes channel feedback reduction techniques based on the theory of compressive sensing, which permits the transmitter to obtain channel information with acceptable accuracy under substantially reduced feedback load. Furthermore, by leveraging properties of compressive sensing, we present two adaptive feedback protocols, in which the feedback content can be dynamically configured based on channel conditions to improve the efficiency.
Published Version: doi:10.1109/WCNC.2012.6214417
Other Sources: http://www.eecs.harvard.edu/~htk/publication/2012-wcnc-kuo-kung-ting.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9972705

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  • FAS Scholarly Articles [7103]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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