2019/03/31 by Yu Zhang, Yiming Huo, Dongming Wang +2 · 22 citations
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Antenna Design and Optimization #Beamforming #Channel (broadcasting) #Channel sounding #Channel state information #MIMO #Matching pursuit #Millimeter-Wave Propagation and Modeling #Multiplexing #Overhead (engineering) #Precoding #cs.IT #math.IT
paper · pdf · doi:10.1109/tvt.2020.3015815
published in IEEE Transactions on Vehicular Technology 69(11), 12921-12937 (Institute of Electrical and Electronics Engineers) · accepted by IEEE Transactions on Vehicular Technology
openalex created_date 2019/03/22 · openalex publication_date 2020/08/11 · arxiv created 2020/08/20 · arxiv updated 2020/08/21 · openalex updated_date 2026/08/05
Distributed phased arrays based multiple-input multiple-output (DPA-MIMO) is a newly introduced architecture that enables both spatial multiplexing and beamforming while facilitating highly reconfigurable hardware implementation in millimeter-wave (mmWave) frequency bands. With a DPA-MIMO system, we focus on channel state information (CSI) acquisition and hybrid precoding. As benefited from a coordinated and open-loop pilot beam pattern design, all the sub-arrays can perform channel sounding with less training overhead compared with the traditional orthogonal operation of each sub-array. Furthermore, two sparse channel recovery algorithms, known as joint orthogonal matching pursuit (JOMP) and joint sparse Bayesian learning with 12 reweighting (JSBL-12), are proposed to exploit the hidden structured sparsity in the beam-domain channel vector. Finally, successive interference cancellation (SIC) based hybrid precoding through sub-array grouping is illustrated for the DPA-MIMO system, which decomposes the joint sub-array RF beamformer design into an interactive per-sub-array-group handle. Simulation results show that the proposed two channel estimators fully take advantage of the partial coupling characteristic of DPA-MIMO channels to perform channel recovery, and the proposed hybrid precoding algorithm is suitable for such array-of-sub-arrays architecture with satisfactory performance and low complexity.