Article (Scientific journals)
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
Yuan, Yi; Zheng, G.; Wong, K.-K. et al.
2021In IEEE Transactions on Wireless Communications, p. 1-1
Peer reviewed


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Keywords :
Array signal processing;Wireless communication;Training;Adaptation models;Task analysis;Resource management;Uplink;Deep transfer learning;meta-learning;online learning;beamforming;MISO;SINR balancing
Abstract :
[en] This paper studies fast adaptive beamforming optimization for the signal-to-interference-plus-noise ratio balancing problem in a multiuser multiple-input single-output downlink system. Existing deep learning based approaches to predict beamforming rely on the assumption that the training and testing channels follow the same distribution which may not hold in practice. As a result, a trained model may lead to performance deterioration when the testing network environment changes. To deal with this task mismatch issue, we propose two offline adaptive algorithms based on deep transfer learning and meta-learning, which are able to achieve fast adaptation with the limited new labelled data when the testing wireless environment changes. Furthermore, we propose an online algorithm to enhance the adaptation capability of the offline meta algorithm in realistic non-stationary environments. Simulation results demonstrate that the proposed adaptive algorithms achieve much better performance than the direct deep learning algorithm without adaptation in new environments. The meta-learning algorithm outperforms the deep transfer learning algorithm and achieves near optimal performance. In addition, compared to the offline meta-learning algorithm, the proposed online meta-learning algorithm shows superior adaption performance in changing environments.
Disciplines :
Computer science
Author, co-author :
Yuan, Yi
Zheng, G.
Wong, K.-K.
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Luo, Z.-Q.
External co-authors :
Language :
Title :
Transfer Learning and Meta Learning Based Fast Downlink Beamforming Adaptation
Publication date :
Journal title :
IEEE Transactions on Wireless Communications
Pages :
Peer reviewed :
Peer reviewed
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since 18 January 2021


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