An Unsupervised Deep Unfolding Framework for Robust Symbol Level Precoding

Symbol Level Precoding (SLP) has attracted significant research interest due to its ability to exploit interference for energy-efficient transmission. This paper proposes an unsupervised deep-neural network (DNN) based SLP framework. Instead of naively training a DNN architecture for SLP without con...

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Bibliographic Details
Main Authors: Andreopoulos, Y. (Author), Masouros, C. (Author), Mohammad, A. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2023
Subjects:
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