TY - JOUR
T1 - Joint CSIT acquisition based on low-rank matrix completion for FDD massive MIMO systems
AU - Shen, Wenqian
AU - Dai, Linglong
AU - Shim, Byonghyo
AU - Mumtaz, Shahid
AU - Wang, Zhaocheng
N1 - Funding Information:
This work was supported by the National Key Basic Research Program of China (Grant No. 2013CB329203), the National Natural Science Foundation of China (Grant Nos. 61571270 and 61201185), the Beijing Natural Science Foundation (Grant No. 4142027), and the Foundation of Shenzhen government.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhead both for downlink channel training and uplink channel feedback. In this letter, we propose a joint CSIT acquisition scheme to reduce the overhead. Particularly, unlike conventional schemes where each user individually estimates its own channel and then feed it back to the base station (BS), we propose that all scheduled users directly feed back the pilot observation to the BS, and then joint CSIT recovery can be realized at the BS.We further formulate the joint CSIT recovery problem as a low-rank matrix completion problem by utilizing the low-rank property of the massive MIMO channelmatrix, which is caused by the correlation among users. Finally, we propose a hybrid low-rank matrix completion algorithm based on the singular value projection to solve this problem. Simulations demonstrate that the proposed scheme can provide accurate CSIT with lower overhead than conventional schemes.
AB - Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhead both for downlink channel training and uplink channel feedback. In this letter, we propose a joint CSIT acquisition scheme to reduce the overhead. Particularly, unlike conventional schemes where each user individually estimates its own channel and then feed it back to the base station (BS), we propose that all scheduled users directly feed back the pilot observation to the BS, and then joint CSIT recovery can be realized at the BS.We further formulate the joint CSIT recovery problem as a low-rank matrix completion problem by utilizing the low-rank property of the massive MIMO channelmatrix, which is caused by the correlation among users. Finally, we propose a hybrid low-rank matrix completion algorithm based on the singular value projection to solve this problem. Simulations demonstrate that the proposed scheme can provide accurate CSIT with lower overhead than conventional schemes.
KW - CSIT
KW - FDD
KW - Low-rank matrix completion
KW - Massive MIMO
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U2 - 10.1109/LCOMM.2015.2492960
DO - 10.1109/LCOMM.2015.2492960
M3 - Article
AN - SCOPUS:84959239731
VL - 19
SP - 2178
EP - 2181
JO - IEEE Communications Letters
JF - IEEE Communications Letters
SN - 1089-7798
IS - 12
M1 - 7302003
ER -