Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems

By Ahmed Alkhateeb, Geert Leus, Robert W. Heath. IEEE Transactions on Wireless Communications, 2014

1,150 citations recorded by the source corpus.

Antenna arrays will be an important ingredient in millimeter-wave (mmWave) cellular systems. A natural application of antenna arrays is simultaneous transmission to multiple users. Unfortunately, the hardware constraints in mmWave systems make it difficult to apply conventional lower frequency multiuser MIMO precoding techniques at mmWave. This paper develops low-complexity hybrid analog/digital precoding for downlink multiuser mmWave systems. Hybrid precoding involves a combination of analog and digital processing that is inspired by the power consumption of complete radio frequency and mixed signal hardware. The proposed algorithm configures hybrid precoders at the transmitter and analog combiners at multiple receivers with a small training and feedback overhead. The performance of the proposed algorithm is analyzed in the large dimensional regime and in single-path channels. When the analog and digital precoding vectors are selected from quantized codebooks, the rate loss due to the joint quantization is characterized, and insights are given into the performance of hybrid precoding compared with analog-only beamforming solutions. Analytical and simulation results show that the proposed techniques offer higher sum rates compared with analog-only beamforming solutions, and approach the performance of the unconstrained digital beamforming with relatively small codebooks.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bc734dcdd7f9558b9137405d8d834157c278cfcb

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Citations in the corpus

Hybrid Beamforming for Massive MIMO - A Survey (2016, background): “4 demonstrates the capability of hybrid beamforming in terms of a coverage probability of MU multi-cell scenarios [74].”
Millimeter-Wave Massive MIMO Communication for Future Wireless Systems: A Survey (2018, methodology): “[48] proposed a two-stage hybrid precoder that employs the BS analog precoder and the UE analog combiner to jointly maximize”
Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces (2017, background): “The other aspect is that, for a massive MIMO system equipped with millimeter or Terahertz-band wave communications [32], [33], [37], [40], [44], the spacing between two adjacent antenna-element is rather small and the deployment of antenna-elements are getting denser.”
Channel Estimation for Millimeter-Wave Massive MIMO With Hybrid Precoding Over Frequency-Selective Fading Channels (2016, methodology): “For mmWave massive MIMO with the phase shifter network based hybrid precoding [1]– [3] or electromagnetic lens based beamspace MIMO [4], [5], the number of radio frequency (RF) chains is usually much smaller than that of antennas for reduced hardware cost and power consumption.”
Millimeter Wave MIMO With Lens Antenna Array: A New Path Division Multiplexing Paradigm (2015, methodology): “To enable spatial multiplexing, hybrid analog/digital precoding has been recently proposed [17]–[22], where the precoding is implemented in two stages with a baseband digital pre-coding using a limited number of RF chains followed by a RF-band analog processing through a network of phase shifters.”
Near-Field Communications: A Tutorial Review (2023, neutral): “In the following, two alternative approaches are introduced to solve hybrid beamforming optimization problems, namely fully-digital approximation [46]–[49] and heuristic two-stage optimization [51]–[54].”
Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding (2019, methodology): “Then, the authors in [5] designed a low-complexity hybrid analog/digital precoding for multiuser mmWave systems by configuring a hybrid precoder.”
Millimeter Wave Communication: A Comprehensive Survey (2018, methodology): “For downlink multiuser mmWave systems, Alkhateeb et al. [82] recommend the combination of analog and digital processing, inspired by the power consumption of complete radio frequency and mixed signal hardware.”
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “Hybrid precoding offers a compromise between system performance and hardware complexity.”
Modeling and Analyzing Millimeter Wave Cellular Systems (2016, methodology): “transceivers in [95], [103], and [112]–[116].”
Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends (2022, background): “of the codewords for the analog precoders and the quantized effective channel, which entails high complexity and overhead [167].”
Beamforming for Millimeter Wave Communications: An Inclusive Survey (2016, methodology): “The system model in [178] assumes a hybrid beamforming precoding/combining architecture at the base station with analog-only combining at”
A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives (2018, methodology): “A limited feedback hybrid precoding scheme is presented in [144].”
Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015, methodology): “Considering the critical situation that only one data stream is supported by each MS with only RF chain employed (total 8 MSs), we are able to further compare our results with the limited feedback hybrid precoding scheme proposed in [18]”
Millimeter Wave Communications for Future Mobile Networks (2017, methodology): “To tackle this problem, in [172], a two-stage precoding scheme was proposed for architecture N1.”