Low complexity hybrid beamforming and precoding for 2D planar antenna array mmWave systems

Hsu, Kai-Neng; Wang, Ching-Hung; Lee, Yun-Yueh; Huang, Yuan-Hao

doi:10.1109/sips.2015.7345029

Cited by 10 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For antenna selection, only the selected antennas and the corresponding RF chains are active with the help of RF switches. The authors of [112], used antenna selection technique to establish low-complexity algorithm that can jointly determine the RF beamforming array vector and baseband precoding matrix for 2D planar antenna array in mmWave systems. Bogale et al [49] show that if we realize each element of the analog beamforming matrix by the sum of two phase shifters as shown in Fig.…”

Section: A Fully-connected and Sub-connected Hybrid Beamforming Strumentioning

confidence: 99%

A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives

Ahmed

Khammari

Shahid

et al. 2018

IEEE Commun. Surv. Tutorials

633

297

View full text Add to dashboard Cite

The increasing wireless data traffic demands have driven the need to explore suitable spectrum regions for meeting the projected requirements. In the light of this, millimeter wave (mmWave) communication has received considerable attention from the research community. Typically, in fifth generation (5G) wireless networks, mmWave massive multiple-input multipleoutput (MIMO) communications is realized by the hybrid transceivers which combine high dimensional analog phase shifters and power amplifiers with lower-dimensional digital signal processing units. This hybrid beamforming design reduces the cost and power consumption which is aligned with an energyefficient design vision of 5G. In this paper, we track the progress in hybrid beamforming for massive MIMO communications in the context of system models of the hybrid transceivers' structures, the digital and analog beamforming matrices with the possible antenna configuration scenarios and the hybrid beamforming in heterogeneous wireless networks (HetNET). We extend the scope of the discussion by including resource management issues in hybrid beamforming. We explore the suitability of hybrid beamforming methods, both, existing and proposed till first quarter of 2017, and identify the exciting future challenges in this domain.

show abstract

Section: A Fully-connected and Sub-connected Hybrid Beamforming Strumentioning

confidence: 99%

A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives

Ahmed

Khammari

Shahid

et al. 2018

IEEE Commun. Surv. Tutorials

633

297

View full text Add to dashboard Cite

show abstract

“…represent the transmit and receive array response vector, where φ r l,u and φ t l,u stand for the azimuth angle of arrival (AoA) and departure (AoD) θ r l,u , θ t l,u are the zenith of AoA and AoD. In this paper, antenna array considers the uniform planar array (UPA) in one plane with W and H elements on the each axes and the array response vector is given by [28], [29],…”

Section: Channel Modelmentioning

confidence: 99%

Hybrid Precoding Technique With Iterative Algorithm for MIMO-OFDM System

Lee

et al. 2020

IEEE Access

View full text Add to dashboard Cite

This paper proposes a hybrid precoding technique based on multiple-input multipleoutput orthogonal frequency division multiplexing (MIMO-OFDM) system to improve bit error rate (BER) performance in hybrid beamforming system. The conventional hybrid beamforming system cannot outperform the performance of full-digital beamforming system in OFDM. In the proposed algorithm, the analog precoding matrices are designed by iterative algorithm and one proper analog precoding matrix with the highest power of hybrid precoder is selected to achieve the highest performance. According to the number of analog precoding matrices, the diversity gain is increased and the performance is improved. The simulation results show that the BER performance and average sum rate for the proposed scheme are higher than the conventional hybrid beamforming system.

show abstract

Probabilistic distribution learning algorithm based transmit antenna selection and precoding for millimeter wave massive MIMO systems

et al. 2020

View full text Add to dashboard Cite

Low complexity hybrid beamforming and precoding for 2D planar antenna array mmWave systems

Cited by 10 publications

References 13 publications

A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives

A Survey on Hybrid Beamforming Techniques in 5G: Architecture and System Model Perspectives

Hybrid Precoding Technique With Iterative Algorithm for MIMO-OFDM System

Probabilistic distribution learning algorithm based transmit antenna selection and precoding for millimeter wave massive MIMO systems

Contact Info

Product

Resources

About