Low-Complexity Hybrid Precoding in Massive Multiuser MIMO Systems

By Le Liang, Wei Xu, Xiaodai Dong. IEEE Wireless Communications Letters, 2014

696 citations recorded by the source corpus.

Massive multiple-input multiple-output (MIMO) is envisioned to offer considerable capacity improvement, but at the cost of high complexity of the hardware. In this paper, we propose a low-complexity hybrid precoding scheme to approach the performance of the traditional baseband zero-forcing (ZF) precoding (referred to as full-complexity ZF), which is considered a virtually optimal linear precoding scheme in massive MIMO systems. The proposed hybrid precoding scheme, named phased-ZF (PZF), essentially applies phase-only control at the RF domain and then performs a low-dimensional baseband ZF precoding based on the effective channel seen from baseband. Heavily quantized RF phase control up to 2 bits of precision is also considered and shown to incur very limited degradation. The proposed scheme is simulated in both ideal Rayleigh fading channels and sparsely scattered millimeter wave (mmWave) channels, both achieving highly desirable performance.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7fa0f4ba8910a6356343c7d42f2e155a4b281a73

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Citations in the corpus

Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays (2016, methodology): “The design of [32], [33] involves matching the RF precoder to the phase of the channel and setting the digital precoder to be the ZF beamformer for the effective channel.”
Hybrid Beamforming for Massive MIMO - A Survey (2016, methodology): “It is evident that for any massive MIMO systems relying on full CSI between all antenna elements of the BS and UEs, the maximal achievable SMG is limited by the size of the coherence block of the channel because N BS and K are generally large.”
Hybrid Analog and Digital Beamforming for mmWave OFDM Large-Scale Antenna Arrays (2017, methodology): “Further, hybrid precoding design problem for a MU-MISO system is considered in [14], [15].”
Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming (2018, background): “Although beamforming optimization under unitmodulus constraints has been studied in the research on constant-envelope precoding [12], [13] as well as hybrid digital/analog processing [14]–[16], such designs are mainly restricted to either the transmitter or the receiver side, which are not applicabl”
Non-Stationarities in Extra-Large-Scale Massive MIMO (2019, methodology): “The fully digital architecture has M RF chains, and we use the algorithm proposed in [14] to obtain the hybrid precoders.”
Deep CNN-Based Channel Estimation for mmWave Massive MIMO Systems (2019, background): “architecture, usually called hybrid architecture, is widely used at both the transmitter and the receiver to connect a large number of antennas with much fewer RF chains [7], [8].”
An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems (2015, background): “Examples include phase noise [7], [109], [110], IQ imbalance [111], [112], and nonlinear effects [109], [110], [113].”
Massive Access for 5G and Beyond (2020, background): “To decrease the number of RF chains but retain the benefits of massive MIMO, hybrid precoding techniques are needed to allow multiple antennas to share the same RF chains [111]–[113].”
Hybrid Block Diagonalization for Massive Multiuser MIMO Systems (2015, methodology): “In [9], the near-optimal capacity performan ce, compared to the full-complexity systems, is achieved through the ZF baseband precoding comb ined with the EGT processing in the RF domain.”
A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives (2018, methodology): “The research works [47] and [133] maximize the SE for Nt antenna BS and K single antenna UEs mmWave massive MIMO downlink systems.”