Parallel APSM for Fast and Adaptive Digital SIC in Full-Duplex Transceivers with Nonlinearity
Author:
Affiliation:
1. Technische Universität Berlin,Network Information Theory Group,Berlin,Germany
2. Lenovo Deutschland GmbH,5G Wirelesss Research Group,Germany
Funder
Technische Universität Berlin
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833808/9833812/09833961.pdf?arnumber=9833961
Reference18 articles.
1. Adaptive Self-Interference Cancellation for Full Duplex Radio: Analytical Model and Experimental Validation
2. Full-Duplexing With SDR Devices: Algorithms, FPGA Implementation, and Real-Time Results
3. Hardware Implementation of Neural Self-Interference Cancellation
4. Adaptive Learning in a World of Projections
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Machine Learning-Based Self-Interference Cancellation for Full-Duplex Radio: Approaches, Open Challenges, and Future Research Directions;IEEE Open Journal of Vehicular Technology;2024
2. Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks;2022 56th Asilomar Conference on Signals, Systems, and Computers;2022-10-31
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