Can I read Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? on EtoBox?

Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? by Turan, Nurettin; Fesl, Benedikt; Joham, Michael; Ma, Zhengxiang; Soong, Anthony C. K.; Sheen, Baoling; Xiao, Weimin; Utschick, Wolfgang is a scholarly article available to read on EtoBox.

What is Limited Feedback on Measurements: Sharing a Codebook or a Generative Model? about?

Discrete Fourier transform (DFT) codebook-based solutions are well-established for limited feedback schemes in frequency division duplex (FDD) systems. In recent years, data-aided solutions have been shown to achieve higher performance, enabled by the adaptivity of the feedback scheme to the propagation environment of the base station (BS) cell. In particular, a versatile limited feedback scheme utilizing Gaussian mixture models (GMMs) was recently introduced. The scheme supports multi-user communications, exhibits low complexity, supports parallelization, and offers significant flexibility concerning various system parameters. Conceptually, a GMM captures environment knowledge and is subsequently transferred to the mobile terminals (MTs) for online inference of feedback information. Afterward, the BS designs precoders using either directional information or a generative modeling-based approach. A major shortcoming of recent works is that the assessed system performance is only evaluated through synthetic simulation data that is generally unable to fully characterize the features of real-world environments. It raises the question of how the GMM-based feedback scheme performs on rea

Author

Turan, Nurettin; Fesl, Benedikt; Joham, Michael; Ma, Zhengxiang; Soong, Anthony C. K.; Sheen, Baoling; Xiao, Weimin; Utschick, Wolfgang

Published

2024

Language

EN