Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation
By Vijay Venkateswaran, Alle-Jan van der Veen. IEEE Transactions on Signal Processing, 2010
388 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/80f294267808d48093bb94de8a252cdb193b0989
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In Aerospace Engineering
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Citations in the corpus
- Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? (2015, methodology): “In [24], hybrid precoders were designed in general MIMO systems for multiplexing gain maximization; interference management was further incorporated in [25].”
- Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems (2014, background): “Works in [4]–[7], however, do not consider the multiuser scenario and are not aimed to maximize the capacity performance in the large array regime.”
- Millimeter Wave Communications for Future Mobile Networks (2017, methodology): “The hybrid analog-digital architecture is the key solution [122]–[124]; the hybrid architecture was agreed to be deployed in future 5G systems at the 3GPP RAN1 meeting in June 2016 [125], as described later.”
- An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, methodology): “Analog beamformers in mmWave are usually designed using a closed-loop beam training strategy, based on using a codebook which includes beam patterns at different resolutions.”
- A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives (2018, background): “Based on the advantages and disadvantages of analog beamforming and digital beamforming, there is a growing interest that hybrid beamforming is a suitable architecture which can exploit large mmWave antenna array with reduced architecture [23], [24].”
- Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, methodology): “times reduction each decade for baseband digital algorithms processing [31].”
- Millimeter Wave Cellular Networks: A MAC Layer Perspective (2015, methodology): “2) Analog Beamforming: This technique shapes the output beam with only one RF chain using phase shifters [37], [41].”
- What Will 5G Be? (2014, neutral): “[83] V.”
- Beamspace MIMO for high-dimensional multiuser communication at millimeter-wave frequencies (2013, methodology): “g via a discrete lens array fed by an array of beamspace antennas as in Continuous Aperture Phased MIMO (CAP-MIMO) [6], [7], [17] or via phase shifting networks in conventional antenna arrays [5], [18], a significant reduction in hardware complexity can be achieved as well.”
- Hybrid precoding for millimeter wave cellular systems with partial channel knowledge (2013, methodology): “Analog RF beamforming solutions were proposed in [3], [5], [6], and were largely based on controlling the phase of the signal transmitted by each antenna via a network of analog phase shifters.”
- Spatially Sparse Precoding in Millimeter Wave MIMO Systems (2013, background): “Further hardware limitations have also been considered in [27], for example, which focuses on analog receiver processing with only quantized phase control and finite-precision analog-to-digital converters.”
- Hybrid Beamforming for Massive MIMO - A Survey (2016, background): “[13], [14] explore the minimum mean square error (MMSE) hybrid receiver design and investigate the impact of analog-digital-converter (ADC) with different resolutions.”
- Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, methodology): “For general MIMO systems, hybrid precoding for diversity and multiplexing gain were investigated in [45], and for interference management in [46].”
- Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems (2016, background): “In [1] and [2], hybrid precoding was first investigated for diversity and multiplexing gains in general MIMO systems.”
- Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, methodology): “Low power MIMO architectures with analog beamforming and baseband processing have been proposed in literature [145], [146].”
- Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014, methodology): “In [18], hybrid analog/digital precoding algorithms were developed to minimize the received signal’s mean-squared error in the presence of interference when phase shifters with only quantized phases are available.”
- Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays (2016, methodology): “Analog or RF beamforming schemes implemented using analog circuitry are introduced in [16]–[19].”
- Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (2014, methodology): “In [12], hybrid analog/digital precoding algorithms were developed to minimize the received signal’s mean-squared error in the presence of interference when phase shifters with only quantized phases are available.”