Hybrid beamforming design for full-duplex millimeter wave communication dataset
Hybrid beamforming design for full-duplex millimeter wave communication dataset
Data associated with the publication:
Katla, Satyanarayana; El-Hajjar, Mohammed; Hanzo, Lajos / Hybrid beamforming design for full-duplex millimeter wave communication.
In: IEEE Transactions on Vehicular Technology, accepted on 27.11.2018.
Paper abstract: Harnessing the abundant availability of spectral resources at millimeter wave (mmWave) frequencies is an attractive solution to meet the escalating data rate demands. Additionally, it has been shown that full-duplex (FD) communication has the potential of doubling the bandwidth efficiency. However, the presence of significant residual self-interference (SI), which is especially more pronounced at mmWave frequencies because of the non-linearities in the hardware components, erodes the full potential of FD in practice. Conventionally, the residual SI is canceled in the baseband using digital processing with the aid of a transmit precoder. In this work, we propose a hybrid beamforming design for FD mmWave communications, where the SI is canceled by the joint design of beamformer weights at the radio-frequency (RF) and the precoder as well as combiner in the baseband. Our proposed design preserves the dimensions of the transmit signal, while suppressing the SI. We demonstrate that our joint design is capable of reducing the SI by upto 30 dB, hence performing similarly to the interference-free FD system while being computationally efficient. Our simulation results show that the proposed design significantly outperforms eigen-beamforming.
University of Southampton
Katla, Satyanarayana
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El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
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Katla, Satyanarayana
f3436daa-e5da-4b3c-ab4b-ad07a0cef99a
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Katla, Satyanarayana, El-Hajjar, Mohammed and Hanzo, Lajos
(2018)
Hybrid beamforming design for full-duplex millimeter wave communication dataset.
University of Southampton
doi:10.5258/SOTON/D0737
[Dataset]
Abstract
Data associated with the publication:
Katla, Satyanarayana; El-Hajjar, Mohammed; Hanzo, Lajos / Hybrid beamforming design for full-duplex millimeter wave communication.
In: IEEE Transactions on Vehicular Technology, accepted on 27.11.2018.
Paper abstract: Harnessing the abundant availability of spectral resources at millimeter wave (mmWave) frequencies is an attractive solution to meet the escalating data rate demands. Additionally, it has been shown that full-duplex (FD) communication has the potential of doubling the bandwidth efficiency. However, the presence of significant residual self-interference (SI), which is especially more pronounced at mmWave frequencies because of the non-linearities in the hardware components, erodes the full potential of FD in practice. Conventionally, the residual SI is canceled in the baseband using digital processing with the aid of a transmit precoder. In this work, we propose a hybrid beamforming design for FD mmWave communications, where the SI is canceled by the joint design of beamformer weights at the radio-frequency (RF) and the precoder as well as combiner in the baseband. Our proposed design preserves the dimensions of the transmit signal, while suppressing the SI. We demonstrate that our joint design is capable of reducing the SI by upto 30 dB, hence performing similarly to the interference-free FD system while being computationally efficient. Our simulation results show that the proposed design significantly outperforms eigen-beamforming.
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readme.txt
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Figures_dataset.tar.gz
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Published date: 30 November 2018
Organisations:
School of Electronics and Computer Science, Next Generation Wireless
Identifiers
Local EPrints ID: 426822
URI: http://eprints.soton.ac.uk/id/eprint/426822
PURE UUID: dcb24db0-d1ca-41ee-bc3f-b8f330f73524
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Date deposited: 13 Dec 2018 10:33
Last modified: 13 Nov 2023 02:43
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Contributors
Creator:
Satyanarayana Katla
Creator:
Mohammed El-Hajjar
Creator:
Lajos Hanzo
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