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CLC number: TN92
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2017-05-30
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Optimal precoding for full-duplex base stations under strongly correlated self-interference channels
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Jun Wang, Xiao-jie Wen, Chuan Huang, Chao-jin Qing. Optimal precoding for full-duplex base stations under strongly correlated self-interference channels[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(6): 808-816.
@article{title="Optimal precoding for full-duplex base stations under strongly correlated self-interference channels",
author="Jun Wang, Xiao-jie Wen, Chuan Huang, Chao-jin Qing",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="18",
number="6",
pages="808-816",
year="2017",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1700022"
}
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%T Optimal precoding for full-duplex base stations under strongly correlated self-interference channels
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%J Frontiers of Information Technology & Electronic Engineering
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%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1700022
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T1 - Optimal precoding for full-duplex base stations under strongly correlated self-interference channels
A1 - Jun Wang
A1 - Xiao-jie Wen
A1 - Chuan Huang
A1 - Chao-jin Qing
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 18
IS - 6
SP - 808
EP - 816
%@ 2095-9184
Y1 - 2017
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1700022
Abstract: We study the optimal precoding for a full-duplex (FD) system, where one FD multi-antenna base station (BS) respectively transmits to and receives from two half-duplex single-antenna mobile users (MUs) on the same time slot and frequency band. At the FD BS, the received signal from the desired MU is severely affected by the extremely strong self-interference (SI) from its transmit antennas to the receive antennas. In the presence of residual SI after imperfect SI cancellation, the downlink transmission rate maximization problem subject to a targeted uplink rate is formulated as a non-convex optimization problem to characterize the achievable rate region for the considered system. Considering the case in which the SI channel is strongly correlated, the above problem is transformed into a convex problem by exploiting the rank-one property of the SI channel, which can be solved efficiently. Finally, numerical results validate the effectiveness of the proposed scheme.
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