Adaptive Beamforming in TDD-Based Mobile Communication Systems: State of the Art and 5G Research Directions

Chen, Shanzhi; Sun, Shaojun; Gao, Qiubin; Su, Xin

doi:10.1109/mwc.2016.1500105wc

Cited by 58 publications

(26 citation statements)

References 7 publications

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“…Nevertheless, it should be noted that the Taylor expansion may not be applicable to the PN of a free-running oscillator, whose variance increases linearly with time, after long transmission.) As a result, (30) can be approximated as…”

Section: Beamforming Mimomentioning

confidence: 99%

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Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Chen

Wang

Fan

et al. 2017

Wireless Communications and Mobile Computing

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The effects of oscillator phase noises (PNs) on multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems are studied. It is shown that PNs of common oscillators at the transmitter and at the receiver have the same influence on the performance of (single-stream) beamforming MIMO-OFDM systems, yet different influences on spatial multiplexing MIMO-OFDM systems with singular value decomposition (SVD) based precoding/decoding. When each antenna is equipped with an independent oscillator, the PNs at the transmitter and at the receiver have different influences on beamforming MIMO-OFDM systems as well as spatial multiplexing MIMO-OFDM systems. Specifically, the PN effect on the transmitter (receiver) can be alleviated by having more transmit (receive) antennas for the case of independent oscillators. It is found that the independent oscillator case outperforms the common oscillator case in terms of error vector magnitude (EVM).

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Section: Beamforming Mimomentioning

confidence: 99%

“…A conference version of this paper has been published in [30], where the study was confined to single-stream beamforming OFDM systems. In this paper, we extend the work by including the spatial multiplexing OFDM systems as well.…”

Section: Introductionmentioning

confidence: 99%

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Chen

Wang

Fan

et al. 2017

Wireless Communications and Mobile Computing

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“…It was firstly proposed by the authors team of China Academy of Telecommunications Technology (CATT)/Datang in LTE Release 9 (Rel-9) to support singleuser/multi-user dual-layer beamforming [2]. The following Rel-10 can support up to eight layers of beam-space multiplexing that further enhanced the multiplexing gain [3], [4]. Beam-space multiplexing for coordinate multiple point (CoMP) transmission was then standardized in Rel-11 for multi-cell systems.…”

Section: Introductionmentioning

confidence: 99%

“…Afterwards, the enhancements of downlink fourantenna transmission technology and improvements of CoMP technology were further optimized in Rel-12. Besides that, 3D (including both the horizontal and the vertical dimensions) beam-space multiplexing was also studied [4].…”

Section: Introductionmentioning

confidence: 99%

“…As the number of BS antennas is increased, the size of reference signal symbols and feedback cost overheads are unfeasible high. Alternatively, channel reciprocity in time-division duplex (TDD) systems can be used to conquer such problems [4]. Thus, TDD systems with beamspace multiplexing in terms of massive beamforming will be the mainstay in development of multiple antenna technology for the upcoming 5G [7].…”

Section: Introductionmentioning

confidence: 99%

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Beam-Space Multiplexing: Practice, Theory, and Trends, From 4G TD-LTE, 5G, to 6G and Beyond

Chen¹,

Sun²,

et al. 2020

IEEE Wireless Commun.

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In this article, the new term, namely beam-space multiplexing, is proposed for the former multi-layer beamforming for 4G TD-LTE in 3GPP releases. We provide a systematic overview of beam-space multiplexing from engineering and theoretical perspectives. Firstly, we clarify the fundamental theory of beam-space multiplexing. Specifically, we provide a comprehensive comparison with the antenna-space multiplexing in terms of theoretical analysis, channel state information acquisition, and engineering implementation constraints. Then, we summarize the key technologies and 3GPP standardization of beam-space multiplexing in 4G TD-LTE and 5G new radio (NR) in terms of multi-layer beamforming and massive beamforming, respectively. We also provide system-level performance evaluation of beam-space multiplexing schemes and field results from current commercial TD-LTE networks and field trial of 5G. The practical deployments of 4G TD-LTE and 5G cellular networks demonstrate the superiority of beam-space multiplexing within the limitations of implementation complexity and practical deployment scenarios. Finally, the future trends of beam-space multiplexing in 6G and beyond are discussed, including massive beamforming for extremely large-scale MIMO (XL-MIMO), low earth orbit (LEO) satellites communication, data-driven intelligent massive beamforming, and multi-target spatial signal processing, i.e., joint communication and sensing, positioning, etc.

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Performance dependency of LSTM and NAR beamformers with respect to sensor array properties in millimeter‐wave V2I scenario

Kumar

Singh

2022

Micro & Optical Tech Letters

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Interference prediction is a challenging problem in millimeter-wave V2I scenarios. The implementation of a practical V2I network is limited because of the interference due to the random nature of the wireless channel. This paper proposes an adaptive beamforming technique for mitigation of interference in V2I networks. In this work, long short-term memory (LSTM) and nonlinear autoregressive (NAR)-based regressors have been employed to predict the angles between the RSU and UE. Advance prediction of transmit and receive signals enables reliable V2I communication. Instead of predicting the beamforming matrix directly, we predict the main features using LSTM for learning dependencies in the input time series where complex variables were taken as input states and the final beamformed signal was the output.Simulation results have confirmed that the proposed LSTM model achieves comparable performance in terms of system throughput compared to the NAR method implemented as an artificial neural network.

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Adaptive Beamforming in TDD-Based Mobile Communication Systems: State of the Art and 5G Research Directions

Cited by 58 publications

References 7 publications

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Phase Noise Effect on MIMO-OFDM Systems with Common and Independent Oscillators

Beam-Space Multiplexing: Practice, Theory, and Trends, From 4G TD-LTE, 5G, to 6G and Beyond

Performance dependency of LSTM and NAR beamformers with respect to sensor array properties in millimeter‐wave V2I scenario

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