Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 최준원 | - |
dc.date.accessioned | 2017-09-04T06:23:55Z | - |
dc.date.available | 2017-09-04T06:23:55Z | - |
dc.date.issued | 2015-11 | - |
dc.identifier.citation | IEEE COMMUNICATIONS LETTERS, v. 19, NO 11, Page. 1889-1892 | en_US |
dc.identifier.issn | 1089-7798 | - |
dc.identifier.issn | 1558-2558 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/document/7229286/ | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/28871 | - |
dc.description.abstract | This letter addresses a problem of downlink pilot allocation for massive multiple-input multiple-output (MIMO) systems. When a massive MIMO is employed in frequency division duplex (FDD) systems, significant amount of radio resources are dedicated to the transmission of downlink pilots. Such huge pilot overhead leads to a substantial loss in the maximum data throughput, which motivates us to reduce the number of pilots. In this letter, we propose a pilot reduction strategy based on compressed sensing techniques for orthogonal frequency division multiplexing systems. The pilots are randomly located in a low density manner over the time and frequency domain. To estimate the channels with such low density pilots, we propose a novel sparse channel estimation technique that exploits the common support of the consecutive channel impulse responses over the certain time duration. The evaluation shows that for a massive MIMO with 128 antennas, the proposed scheme achieves significant reduction of pilot overhead, while maintaining good channel estimation performance. | en_US |
dc.description.sponsorship | This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) grant funded by the Ministry of Education (NRF-2014R1A1A2055805) and the National Research Foundation of Korea (NRF) grant funded by Korean government (MSIP) (2014R1A5A1011478). The associate editor coordinating the review of this paper and approving it for publication was C. Zhong. (Corresponding author: Seok-Ho Chang.) | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Channel estimation | en_US |
dc.subject | compressed sensing | en_US |
dc.subject | downlink pilot allocation | en_US |
dc.subject | massive multiple-input multiple-output (MIMO) | en_US |
dc.subject | orthogonal frequency division multiplexing (OFDM) | en_US |
dc.title | Downlink Pilot Reduction for Massive MIMO Systems via Compressed Sensing | en_US |
dc.type | Article | en_US |
dc.relation.no | 11 | - |
dc.relation.volume | 19 | - |
dc.identifier.doi | 10.1109/LCOMM.2015.2474398 | - |
dc.relation.page | 1889-1892 | - |
dc.relation.journal | IEEE COMMUNICATIONS LETTERS | - |
dc.contributor.googleauthor | Choi, Jun Won | - |
dc.contributor.googleauthor | Shim, Byonghyo | - |
dc.contributor.googleauthor | Chang, Seok-Ho | - |
dc.relation.code | 2015000172 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | junwchoi | - |
dc.identifier.researcherID | L-1202-2016 | - |
dc.identifier.orcid | http://orcid.org/0000-0002-3733-0148 | - |
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