Abstract
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.
| Original language | English |
|---|---|
| Article number | 7302003 |
| Pages (from-to) | 2178-2181 |
| Number of pages | 4 |
| Journal | IEEE Communications Letters |
| Volume | 19 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2015 Dec 1 |
| Externally published | Yes |
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Keywords
- CSIT
- FDD
- Low-rank matrix completion
- Massive MIMO
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Modelling and Simulation
Cite this
Joint CSIT acquisition based on low-rank matrix completion for FDD massive MIMO systems. / Shen, Wenqian; Dai, Linglong; Shim, Byonghyo; Mumtaz, Shahid; Wang, Zhaocheng.
In: IEEE Communications Letters, Vol. 19, No. 12, 7302003, 01.12.2015, p. 2178-2181.Research output: Contribution to journal › Article
}
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
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
UR - http://www.scopus.com/inward/record.url?scp=84959239731&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959239731&partnerID=8YFLogxK
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 -