MIMO Precoding and Combining Solutions for Millimeter-Wave Systems

By Ahmed Alkhateeb, Jianhua Mo, N. G. Prelcic, Robert W. Heath. IEEE Communications Magazine, 2014

703 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/db8562310d794b72dd62f1cd1963d671b378c2c6

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In Electrical and Electronic Engineering

Citations in the corpus

Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning (2019, methodology): “Estimating these channel vectors at the LIS, however, normally requires that every LIS antenna gets connected to the baseband processing unit through a fully-digital or hybrid architecture [23], [25], [33].”
Intelligent Reflecting Surface-Assisted Millimeter Wave Communications: Joint Active and Passive Precoding Design (2019, background): “To compensate for the severe path loss in mmWave systems, large antenna arrays are generally used to achieve significant beamforming gains for data transmission [5]–[7].”
DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications (2019, background): “2) and the mobile users, we set active_BS=[3,4,5,6].”
Hybrid Beamforming for Massive MIMO - A Survey (2016, background): “, [8]), and dozens of papers have been published proposing various structures.”
Millimeter Wave Cellular Networks: A MAC Layer Perspective (2015, background): “Exploiting the sparse-scattering nature of mmWave channels, the complexity of hybrid beamforming design can be further reduced [7], [22].”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, methodology): “An extensive survey on beamforming types and architectures can be found in [14], [15], [44], [51], and [93]–[96] and a quick overview on comparison of digi-”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “Since the general design principle of hybrid analog-digital precoding is to approximate the full-digital precoder, many works in literature [2], [6], [24], [141], [270]–[272] have proposed hybrid precoding designs that can achieve the optimal full-digital precoding performance.”
Modeling and Analyzing Millimeter Wave Cellular Systems (2016, background): “One key advantage of hybrid precoding is that it permits the transmitter and receiver to communicate via several independent data streams, and hence achieve spatial multiplexing gains [105].”
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? (2015, methodology): “transceiver architectures and the analysis of their impact on MIMO signal processing, including precoding, combining and channel estimation [20].”
Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, background): “Further, the best precoders are designed based on instantaneous channel state information, which is difficult to acquire at the transmitter in large mmWave systems [31] due to the high channel dimensionality.”
Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, background): “From a millimeter wave outdoor communications perspective, hybrid beamforming precoder/combiner solutions [163]”
Millimeter Wave Communications for Future Mobile Networks (2017, background): “…the key idea of the low-resolution ADC based architecture is to replace the high-resolution (e.g., 15-bit) ADCs by low-resolution ADCs to reduce the energy consumption and hardware cost, while the total number of RF chains or ADCs is still the same as that in the fully digital architecture [131].”
5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice (2017, background): “With the advent of massive MIMO, especially at mm-wave frequencies, the need for large numbers of RF chains and the corresponding ADC/DACs means increasing power consumption, cost and complexity at the base station [19], [20], [87], [88], [120], [121].”