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Compressed sensing-based pilot reduction technique for massive MIMO systems

Title
Compressed sensing-based pilot reduction technique for massive MIMO systems
Author
최준원
Keywords
MIMO communication; compressed sensing; transient response; CIR; OFDM symbol rate; Oracle-based Kalman smoother; base-station; channel impulse response; channel state information; compressed sensing principle; downlink pilot allocation strategy; downlink pilot signals; massive MIMO technique; massive multi-input multi-output technique; transmit antennas; OFDM; Q measurement; Signal to noise ratio
Issue Date
2015-02
Publisher
IEEE
Citation
Information Theory and Applications Workshop (ITA), 2015, San Diego, CA, 2015, pp. 115-118.
Abstract
Massive multi-input multi-output (MIMO) technique deploys a number of transmit antennas in base-station (BS) to support large number of users and high data throughput. Since BS needs to acquire channel state information from all transmit antennas, substantial amount of downlink pilot signals is required. In this paper, we suggest a new downlink pilot allocation strategy, inspired by the compressed sensing principle, that reduces the density of the pilot significantly. Key observation in the proposed approach is that the sparse structure of the channel impulse response (CIR) tends to change slower than the OFDM symbol rate. Through computer simulations, we show that the proposed scheme outperforms the conventional compressed sensing methods, achieving the performance bound provided by the Oracle-based Kalman smoother.
URI
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7308974&tag=1http://hdl.handle.net/20.500.11754/22517
ISBN
978-1-4799-7195-4
DOI
10.1109/ITA.2015.7308974
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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