A leakage‐based hybrid beamforming design for multi‐user mmWave massive MIMO systems

Zhang, Ran; Wang, Ye; Feng, Youhong

doi:10.1049/cmu2.12517

Cited by 2 publications

(2 citation statements)

References 37 publications

(60 reference statements)

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“…UAVs have emerged as a promising solution to meet these demands due to their agility, flexibility, and ability to operate in challenging environments [1][2]. MIMO (Multiple-Input Multiple-Output) technology, with its ability to use multiple antennas for transmitting and receiving signals simultaneously, is a key enabler for achieving high data rates and improved spectral efficiency [3][4][5]. Integrating MIMO technology with UAVs opens up new possibilities for enhanced communication capabilities, enabling applications such as real-time video streaming, Internet of Things (IoT) connectivity, and mission-critical communications [6,7].…”

Section: Backgroundsmentioning

confidence: 99%

Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects

rui,

Jie,

Lei

et al. 2023

Preprint

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In view of the significant impact of flight-induced jitter on the performance of unmanned aerial vehicle (UAV) communication systems, we propose a three-dimensional wideband non-stationary channel model. The model takes into account the line-of-sight (LoS) and non-line-of-sight (NLoS) components in the transmission link from the UAV transmitter to the UAV receiver. Both the transmitter and the receiver are equipped with uniform array antennas. In contrast to previous studies that focus solely on UAV pitch jitter models, the UAV's jitter attitude is simulated as random fluctuations in pitch, azimuth, and roll angles. The rotational jitter is modeled using a sinusoidal random process. Furthermore, derived the typical statistical characteristics of the proposed model, including spatial cross-correlation function(CCFs) and temporal autocorrelation function(ACFs). The numerical simulation results are then compared with those of existing relevant models, demonstrating the effectiveness of the proposed channel model.

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Section: Backgroundsmentioning

confidence: 99%

Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects

rui,

Jie,

Lei

et al. 2023

Preprint

View full text Add to dashboard Cite

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“…1 Introduction M assive multi-input multi-output (MIMO) technology is regarded as a core technology in the fifth-generation (5G) and beyond 5G mobile communication systems [1] for enhancing the spectral efficiency (SE). Accurate channel state information (CSI) plays a fundamental role in facilitating m-MIMO related design, such as transceiver optimization [2] , adaptive modulation [3] , resource allocation [4] , and so on. Typically, CSI is acquired through channel estimation [5,6] whose updating frequency is dictated by the channel coherence time.…”

mentioning

confidence: 99%

Dynamic channel pruning via activation gates

et al. 2022

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Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction methods lack precision due to model mismatch errors or network generalization issues. Large language models (LLMs) have demonstrated powerful modeling and generalization abilities, and have been successfully applied to cross-modal tasks, including the time series analysis. Leveraging the expressive power of LLMs, we propose a pre-trained LLM-empowered channel prediction method (LLM4CP) to predict the future downlink channel state information (CSI) sequence based on the historical uplink CSI sequence. We finetune the network while freezing most of the parameters of the pre-trained LLM for better cross-modality knowledge transfer. To bridge the gap between the channel data and the feature space of the LLM, preprocessor, embedding, and output modules are specifically tailored by taking into account unique channel characteristics. Simulations validate that the proposed method achieves SOTA prediction performance on full-sample, few-shot, and generalization tests with low training and inference costs.

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A leakage‐based hybrid beamforming design for multi‐user mmWave massive MIMO systems

Cited by 2 publications

References 37 publications

Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects

Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects

Dynamic channel pruning via activation gates

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