TY - GEN
T1 - Capturing the Sparsity for Massive MIMO Channel with Approximate Message Passing
AU - Han, Xudong
AU - Zhang, Shun
AU - Mohammed, Anteneh
AU - Zhang, Weile
AU - Zhao, Nan
AU - Gu, Yuantao
N1 - Publisher Copyright:
© 2020, Springer Nature Singapore Pte Ltd.
PY - 2020
Y1 - 2020
N2 - In this work, we propose a low-overhead characteristic learning mechanism for the time-varying massive MIMO channels. Specially, we exploit the common sparsity and temporal correlation of the channel. Firstly, using VCR and modeling the temporal correlation as an autoregressive process, we formulate the dynamic massive MIMO channel as a sparse signal model. Then, an expectation maximization (EM) based sparse Bayesian learning (SBL) framework is developed to learn model parameters. To achieve the posteriors of model parameters, approximate message passing (AMP) is utilized in the expectation step. Finally, we demonstrate the performance through numerical simulations.
AB - In this work, we propose a low-overhead characteristic learning mechanism for the time-varying massive MIMO channels. Specially, we exploit the common sparsity and temporal correlation of the channel. Firstly, using VCR and modeling the temporal correlation as an autoregressive process, we formulate the dynamic massive MIMO channel as a sparse signal model. Then, an expectation maximization (EM) based sparse Bayesian learning (SBL) framework is developed to learn model parameters. To achieve the posteriors of model parameters, approximate message passing (AMP) is utilized in the expectation step. Finally, we demonstrate the performance through numerical simulations.
KW - Approximate message passing
KW - Expectation maximization
KW - Massive MIMO
KW - Sparse Bayesian learning
UR - https://www.scopus.com/pages/publications/85084737548
U2 - 10.1007/978-981-13-9409-6_26
DO - 10.1007/978-981-13-9409-6_26
M3 - 会议稿件
AN - SCOPUS:85084737548
SN - 9789811394089
T3 - Lecture Notes in Electrical Engineering
SP - 214
EP - 222
BT - Communications, Signal Processing, and Systems - Proceedings of the 8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
A2 - Liang, Qilian
A2 - Wang, Wei
A2 - Liu, Xin
A2 - Na, Zhenyu
A2 - Jia, Min
A2 - Zhang, Baoju
PB - Springer
T2 - 8th International Conference on Communications, Signal Processing, and Systems, CSPS 2019
Y2 - 20 July 2019 through 22 July 2019
ER -