Self-interference suppression with imperfect channel estimation in a shared-antenna full-duplex massive MU-MIMO system

Xing, Pengbo; Liu, Ju; Zhai, Chao; Yu, Zhiyuan

doi:10.1186/s13638-017-0805-7

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Furthermore, it is also capable of eradicating the complexity of the codebook search and achieving a tradeoff between structure performance and feedback overhead [264]. throughput, and fairness multi-antenna users beamforming approach Several efforts have been devoted to reducing the self-interference (SI) in the massive MU-MIMO system [275]. Zero-forcing (ZF) is assumed at the base station (BS), and maximum-ratio transmission (MRT) and maximum ratio combining (MRT/MRC) schemes are used to perform linear processing techniques.…”

Section: Massive Mimo and Beamformingmentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

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Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

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Section: Massive Mimo and Beamformingmentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

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“…Unlike the separate antenna model in [27], however, our system uses a shared antenna model, whose simultaneous transmission and reception implies that the strong transmit signal from the transmitter chain would directly couple to the receiver chain [28]. While the technique for physical isolation as a means of self-interference cancellation is different for the separate and shared antenna cases, the self-interference signal characteristics can be assumed to be similar [29].…”

Section: B Full-duplex Mimo Relay and Self Interference Modelsmentioning

confidence: 99%

Optimal Transmission Using a Self-Sustained Relay in a Full-Duplex MIMO System

Malik

2019

IEEE J. Select. Areas Commun.

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This paper 1 investigates wireless information and power transfer in a full-duplex MIMO relay channel where the self-sustained relay harvests energy from both source transmit signal and self-interference signal to decode and forward source information to a destination. We formulate a new problem to jointly optimize power splitting at the relay and precoding design for both the source and relay transmissions. Using duality theory, we establish closed-form optimal primal solutions in terms of the dual variables, based on which we then design a customized and efficient primal-dual algorithm to maximize the achievable throughput. Numerical results demonstrate the rate gains from using multiple transmit and receive antennas in both information decoding and energy harvesting, and the significant benefit of harvesting energy from self-interference signals. We also extend our analysis to the case when channel state information is only available at receiving nodes and show how our algorithm can optimize the power splitting at the relay for it to remain self-sustained. Through analysis and simulation, we demonstrate that an optimal combination of non-uniform power splitting, variable power allocation, and self-interference power harvesting can effectively exploit a full-duplex MIMO system to achieve significant performance gains over existing uniform power splitting and half-duplex transmissions.

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“…According to recent reports, the latest SIC techniques can achieve up to 110 dB attenuation by various methods such as isolation, wireless propagation domain suppression, and analog and digital cancellation [8,12,13]. e work in [14] further demonstrated that additional 36 dB attenuation can be achieved for self-interference (SI) suppression if a suitable combination of SI removal and largescale antenna linear processing (LALP) method is used. However, more e orts still need to be done to achieve better RSI suppression.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Full-Duplex Amplify-and-Forward Relay System with Hardware Impairments and Imperfect Self-Interference Cancellation

Nguyen

Tran

2019

Wireless Communications and Mobile Computing

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In this paper, we analyze the performance of a full-duplex (FD) amplify-and-forward (AF) relay system with imperfect hardware. Besides the aggregate hardware impairments of the imperfect transceiver, we also consider the impact of residual self-interference (RSI) due to imperfect cancellation at the FD relay node. An analytical framework for analyzing the system performance including exact outage probability (OP), asymptotic OP, and approximate symbol error probability (SEP) is developed. In order to tackle these impacts, we propose an optimal power allocation scheme which can improve the outage performance of the FD relay node, especially at the high signal-to-noise ratio (SNR) regime. Numerical results are presented for various evaluation scenarios and veri ed using the Monte Carlo simulations.

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Self-interference suppression with imperfect channel estimation in a shared-antenna full-duplex massive MU-MIMO system

Cited by 7 publications

References 34 publications

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

Optimal Transmission Using a Self-Sustained Relay in a Full-Duplex MIMO System

Performance Analysis of Full-Duplex Amplify-and-Forward Relay System with Hardware Impairments and Imperfect Self-Interference Cancellation

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