Hybrid precoding for millimeter wave cellular systems with partial channel knowledge

By Ahmed Alkhateeb, Omar El Ayach, Geert Leus, Robert W. Heath. Information Theory and Applications Workshop, 2013

314 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/3457ee2f6eb80480d7711979eb73d1a26e76c879

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In Electrical and Electronic Engineering

Citations in the corpus

A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives (2018, methodology): “trast to aforementioned works, [80] develops an iterative least square based uplink and downlink precoders to minimize the Frobenius norm between optimal fully digital precoder and the”
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems (2014, background): “To achieve larger precoding gains, and to enable precoding multiple data streams, [11]–[14] propose to divide the precoding operations between the analog and digital domains.”
Millimeter-Wave Communications: Physical Channel Models, Design Considerations, Antenna Constructions, and Link-Budget (2018, background): “niques, as proposed in [8], [13], [48], [90], and [91].”
Hybrid Beamforming for Massive MIMO - A Survey (2016, methodology): “One of the desirable properties of the analog precoder matrix is to have constant modulus elements since phase shifters are sufficient to implement them; suitable approximations can be found using, for example, least-squares fits [43].”
Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, methodology): “In pursuance to the compressed sensing based sparse precoding concept in [175]–[180], a low complexity [181] millimeter wave MIMO scheme exploits the array geometry to reduce the search space in the array manifold.”
Millimeter Wave Channel Modeling and Cellular Capacity Evaluation (2013, background): “with high resolution A/D converters on each antenna across the wide bandwidths of mmW systems may be prohibitive in terms of cost and power, particularly for mobile devices [4]– [6], [55].”
Spatially Sparse Precoding in Millimeter Wave MIMO Systems (2013, background): “Techniques for efficient mmWave channel estimation that potentially leverage the geometric nature of mmWave channels [55]–[57], as well as the rigorous treatment of frequency selectivity, are still an ongoing topic of research.”
Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems (2015, background): “Extensions to the case when only partial channel knowledge is required and when the channel and hybrid precoders are jointly designed were considered in [47], [48].”
Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems (2016, methodology): “Following [3], the work in [7]–[11] devised hybrid precoding algorithms based on matrix decomposition, alternative minimization, and other techniques, with the objective of achieving spectral efficiencies close to that obtained with fully-digital solutions.”
A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges (2020, methodology): “Channel estimation (CE) for mmWave massive MIMO channel is demandingly challenging [27], [302], [303], as a result of the vast number of transmitting and receiving antennas and the small SNR before hybrid precoding.”
Joint Spatial Division and Multiplexing: Opportunistic Beamforming, User Grouping and Simplified Downlink Scheduling (2014, background): “Exploiting the fact that the channel between a user and BS is spatially correlated, the key idea of JSDM lies in partitioning the users into groups with similar channel covariance eigenspaces and split the downlink beamforming into two linear stages: a pre-beamforming stage that depends only on the…”
Energy-Efficient Hybrid Analog and Digital Precoding for MmWave MIMO Systems With Large Antenna Arrays (2015, background): “In this paper, we adopt the geometric Saleh-Valenzuela channel model for mmWave communications, which was also used in related work in [17] as where γ = q is a normalization factor, L is the number of effective channel paths corresponding to the limited number of scatters, and we usually have L ≤ N ”
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems (2014, methodology): “The hybrid precoding algorithms in [4], [15], [16], though, were designed to obtain either diversity or spatial multiplexing gain from single-user channels, which can support a limited number of streams [3].”
Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems (2016, methodology): “ncies, making the fully-digital solutions unfeasible [10], [2], [11]. To support multi-stream and multi-user transmissions in mmWave systems, hybrid analog / digital architectures were proposed [11], [12], [13], [14]. With hybrid architectures, the precoding / combining processing is divided between”