Joint Multi-Beam and Channel Tracking for mmWave Hybrid Beamforming Multi-User Systems

Li, Jiahui; Li, Xu; Xiao, Limin; Zhou, Shidong

doi:10.1109/lwc.2021.3072949

Cited by 7 publications

(7 citation statements)

References 10 publications

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“…The method attempts to maximize the sum-rate and nulls-out the multiuser interference. The authors of [27] propose a joint multi-beam and channel tracking scheme to perform the beam management in mmWave multiuser systems, optimizing the pilot allocation and using a multicarrier modulation format. Reference [28] develops a training beam sequence design for multiuser mmWave tracking systems.…”

Section: A Previous Contributionsmentioning

confidence: 99%

“…The authors formulate a nonlinear optimization problem aimed at the minimization of the average mean squares error of the estimated beams. Reference [27] focuses on joint real-time phase shifter network calibration and beam tracking with single-antenna users in the presence of user mobility. In each tracking period, the exploration strategy is determined according to the previously tracked beam directions.…”

Section: A Previous Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave

Buzzi¹,

D’Andrea²,

Fresia³

et al. 2022

Preprint

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Section: A Previous Contributionsmentioning

confidence: 99%

Section: A Previous Contributionsmentioning

confidence: 99%

Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave

Buzzi¹,

D’Andrea²,

Fresia³

et al. 2022

Preprint

View full text Add to dashboard Cite

“…In [13], [18]- [21], beam tracking means the selection of the optimum set of AoAs to be probed under time or physical (number of RFCs) limitations, after which the most powerful DFT beams are selected. The use of two perturbed beams around the main AoA is also common [22]- [24], from which the final AoA estimate is calculated accordingly. In the aforementioned studies, beam tracking is a phase where the beamformer is varied for a search.…”

Section: A Literature Reviewmentioning

confidence: 99%

“…In [20], multiuser estimation is performed either jointly by extending the MAP estimator, or sequentially by successive interference cancellation. [22] also applies joint estimation after ABF with the help of a maximum likelihood (ML) estimator.…”

Section: A Literature Reviewmentioning

confidence: 99%

An Adaptive Hybrid Beamforming Scheme for Time-Varying Wideband Massive MIMO Channels

Kurt

Güvensen

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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In this paper, a joint design of instantaneous channel estimation, beam tracking, and adaptive beamformer construction for a massive multiple-input multiple-output (MIMO) system is proposed. This design focuses on efficiency in terms of performance and computational complexity under the adverse effects of time variation and mobility of sources, the presence of multiuser and multipath components, or simply multi-clusters, and the near-far effect. The design is also suitable for hybrid beamforming and frequency-selective channels. In the proposed system, channel parameters are estimated in time-domain duplex (TDD) uplink mode using a per-cluster approach rather than a joint approach, which significantly reduces the complexity. Per-cluster estimation is possible thanks to the proposed interference-aware statistical beamforming method, namely reduced dimensional Generalized Eigenbeamformer (RD-GEB), which undertakes the computational load of interference mitigation and enables a simpler design for the remaining stages. In addition, the overall design is based on the separation of channel parameters as fast-time and slow-time, leaving only the instantaneous channel estimation and channel matched filtering as fast-time operations, which are handled inside cluster-specific reduced dimensional subspaces. Beam tracking and beamformer construction are held in slow-time rarely, which reduces the time-averaged complexity. Furthermore, beam tracking is performed by leveraging a batch of instantaneous channel estimates, which removes the need for an additional training process. The proposed low-complexity design is shown to outperform the conventional methods.

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“…M ASSIVE multiple-input multiple-output (MIMO) systems are one of the essential technologies for the beyond-fifth-generation (B5G) and six-generation (6G) wireless communications. However, a large number of radio frequency (RF) chains connected to active antennas in the conventional fully-digital transmitter will incur huge power consumption and high complexity, which has motivated the work on hybrid analog-digital beamforming structures [1][2][3][4] to decrease the number of RF chains by moving some signal processing operations into the analogue domain. However, the undesired high sidelobes may be caused in these hybrid beamforming structures.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Beamforming Design for ITS-Assisted Wireless Networks

Chu

Chen

et al. 2023

IEEE Wireless Commun. Lett.

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This letter proposes a hybrid beamforming design for an intelligent transmissive surface (ITS)-assisted transmitter wireless network. We aim to suppress the sidelobes and optimize the mainlobes of the transmit beams by minimizing the proposed cost function based on the least squares (LS) for the digital beamforming vector of the base station (BS) and the phase shifts of the ITS. To solve the minimization problem, we adopt an efficient algorithm based on the alternating optimization (AO) method to design the digital beamforming vector and the phase shifts of the ITS in an alternating manner. In particular, the alternating direction method of multipliers (ADMM) algorithm is utilized to obtain the optimal phase shifts of the ITS. Finally, we verify the improvement achieved by the proposed algorithm in terms of the beam response compared to the benchmark schemes by the simulation results.

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Joint Multi-Beam and Channel Tracking for mmWave Hybrid Beamforming Multi-User Systems

Cited by 7 publications

References 10 publications

Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave

Multi-UE Multi-AP Beam Alignment in User-Centric Cell-Free Massive MIMO Systems Operating at mmWave

An Adaptive Hybrid Beamforming Scheme for Time-Varying Wideband Massive MIMO Channels

Hybrid Beamforming Design for ITS-Assisted Wireless Networks

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