TY - GEN
T1 - Block compressive channel estimation and feedback for FDD massive MIMO
AU - Gao, Zhen
AU - Dai, Linglong
AU - Dai, Wei
AU - Wang, Zhaocheng
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/4
Y1 - 2015/8/4
N2 - Channel state information (CSI) at the base station (BS) is required to fully exploit the advantages of massive MIMO. However, due to massive BS antennas, the estimation and feedback of downlink CSI are very challenging in frequency division duplexing (FDD) massive MIMO. This paper proposes a block compressive channel estimation and feedback scheme for FDD massive MIMO, which can reduce the overhead for CSI acquisition substantially. Specifically, we first propose the non-orthogonal pilots, which is essentially different from conventional orthogonal pilots. Then, a block orthogonal matching pursuit (BOMP) algorithm is proposed to estimate CSI according to the feedback signal from users, where the analog channel feedback is adopted, and the spatial common sparsity of time-domain massive MIMO channels is exploited to reduce the overhead for CSI acquisition. Moreover, we exploit the temporal common sparsity of channels to estimate channels with reduced complexity. Simulation results demonstrate that the proposed scheme with significantly reduced CSI acquisition overhead can approach the performance bound.
AB - Channel state information (CSI) at the base station (BS) is required to fully exploit the advantages of massive MIMO. However, due to massive BS antennas, the estimation and feedback of downlink CSI are very challenging in frequency division duplexing (FDD) massive MIMO. This paper proposes a block compressive channel estimation and feedback scheme for FDD massive MIMO, which can reduce the overhead for CSI acquisition substantially. Specifically, we first propose the non-orthogonal pilots, which is essentially different from conventional orthogonal pilots. Then, a block orthogonal matching pursuit (BOMP) algorithm is proposed to estimate CSI according to the feedback signal from users, where the analog channel feedback is adopted, and the spatial common sparsity of time-domain massive MIMO channels is exploited to reduce the overhead for CSI acquisition. Moreover, we exploit the temporal common sparsity of channels to estimate channels with reduced complexity. Simulation results demonstrate that the proposed scheme with significantly reduced CSI acquisition overhead can approach the performance bound.
KW - FDD
KW - Massive MIMO
KW - block compressive sensing
KW - channel estimation and feedback
KW - non-orthogonal pilot
UR - http://www.scopus.com/inward/record.url?scp=84943278372&partnerID=8YFLogxK
U2 - 10.1109/INFCOMW.2015.7179337
DO - 10.1109/INFCOMW.2015.7179337
M3 - Conference contribution
AN - SCOPUS:84943278372
T3 - Proceedings - IEEE INFOCOM
SP - 49
EP - 50
BT - 2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
Y2 - 26 April 2015 through 1 May 2015
ER -