June 13, 2022, 1:10 a.m. | Xin Wang, Xiaolin Hou, Lan Chen, Yoshihisa Kishiyama, Takahiro Asai

cs.LG updates on arXiv.org arxiv.org

Recently, inspired by successful applications in many fields, deep learning
(DL) technologies for CSI acquisition have received considerable research
interest from both academia and industry. Considering the practical feedback
mechanism of 5th generation (5G) New radio (NR) networks, we propose two
implementation schemes for artificial intelligence for CSI (AI4CSI), the
DL-based receiver and end-to-end design, respectively. The proposed AI4CSI
schemes were evaluated in 5G NR networks in terms of spectrum efficiency (SE),
feedback overhead, and computational complexity, and compared with …

5g acquisition arxiv deep learning evolution learning massive

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