Spatial- and Frequency-Wideband Effects in Millimeter-Wave Massive MIMO Systems

By Bolei Wang, F. Gao, Shi Jin, Hai-Hsing Lin, Geoffrey Y. Li. IEEE Transactions on Signal Processing, 2017

449 citations recorded by the source corpus.

When there are a large number of antennas in massive MIMO systems, the transmitted wideband signal will be sensitive to the physical propagation delay of electromagnetic waves across the large array aperture, which is called the spatial-wideband effect. In this scenario, the transceiver design is different from most of the existing works, which presume that the bandwidth of the transmitted signals is not that wide, ignore the spatial-wideband effect, and only address the frequency selectivity. In this paper, we investigate spatial- and frequency-wideband effects, called dual-wideband effects in massive MIMO systems from the array signal processing point of view. Taking millimeter-wave-band communications as an example, we describe the transmission process to address the dual-wideband effects. By exploiting the channel sparsity in the angle domain and the delay domain, we develop the efficient uplink and downlink channel estimation strategies that require much less amount of training overhead and cause no pilot contamination. Thanks to the array signal processing techniques, the proposed channel estimation is suitable for both TDD and FDD massive MIMO systems. Numerical examples demonstrate that the proposed transmission design for massive MIMO systems can effectively deal with the dual-wideband effects.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6d07b2f51b8da79127cb2b4f401d7e96b38146dc

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Citations in the corpus

A Tutorial on Near-Field XL-MIMO Communications Toward 6G (2023, unknown): “In this case, different array elements may even receive distinct symbols at the same sampling time, thus giving rise to the unsynchronized reception, which is known as spatial-wideband effect [137]–[140], and such an effect causes beam squint/split issue in the frequency domain.”
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities (2020, background): “However, as the dimensions increase even further, effects such as wavefront curvature due to scattering in the nearfield of the array, shadowing differences in different parts of the array [99], and beam squinting due to the nonnegligible run time of the signal across the array [100]”
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems (2019, unknown): “Its high propagation loss can be well compensated by using massive multiple-input multiple-output (MIMO) technique [2] − [5].”
Convolutional Neural Network-Based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis (2019, methodology): “rix are regarded as the gray-scale values to visualize the sparsity of the retained N0 c N t channel matrix H in the angular-delay domain, which has been demonstrated in the literature, such as [28], [29]. B. CSI Feedback Process Once the channel matrix H in the angular-delay domain is estimated at ”
Prospective Multiple Antenna Technologies for Beyond 5G (2019, background): “This phenomenon is known in the literature as the spatial-wideband effect [116], [117].”