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Title: Self-Interference Cancellation and Beamforming in Repeater-assisted Full-duplex Vehicular Communication
Self-driving vehicles will need low-latency and high-capacity vehicular communication for acquiring wider view of their surroundings. Such vehicle-to-vehicle communication can be indirectly supported in some circumstances (e.g., if blocked) through adjacent road side units (RSUs). RSUs will be acting as full-duplex repeaters among the vehicles to ensure low latency and high data rate. However, full-duplex repeaters result in self-interference phenomenon which can degrade the reliability of the communication links. In this work, we aim to enhance the reliability of full-duplex repeaters by canceling out the self-interference impact, and applying a beamforming scheme that is matched to the source-destination composite channel. We show that the proposed self-interference cancellation and beamforming (SICAB) algorithm significantly reduces the error rate for low-isolated repeaters. Finally, we illustrate the impact of the repeater isolation capability on the performance of the proposed SICAB algorithm.
Authors:
Award ID(s):
1816112
Publication Date:
NSF-PAR ID:
10189579
Journal Name:
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
Page Range or eLocation-ID:
1 to 5
Sponsoring Org:
National Science Foundation
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