Dr MINGLEI YOU MINGLEI.YOU@NOTTINGHAM.AC.UK
Assistant Professor
Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation
You, Minglei; Chen, Tianrui; Zheng, Gan
Authors
Tianrui Chen
Gan Zheng
Abstract
In this extended abstract, we will present a novel cell-less multiple-input multiple-output (MIMO) testbed design and an initial implementation based on the design. The key objective is to design a flexible and scalable architecture to facilitate the Artificial Intelligence (AI)-based beamforming solution, and offload computing extensive algorithms, especially the Channel State Information (CSI) estimation algorithms, to the Field Programmable Gate Arrays (FPGAs), which is to address the challenge for the local signal processing at the distributed Base Stations (BSs). An initial testbed implementation is presented, which has been evaluated in the lab environment with 2 singleantenna BSs and 2 single-antenna users.
Citation
You, M., Chen, T., & Zheng, G. (2022, June). Towards Distributed Cell-less MIMO Testbed: An RFNoC Implementation. Paper presented at 2022 EuCNC & 6G Summit, Grenoble, France & online
Presentation Conference Type | Conference Paper (unpublished) |
---|---|
Conference Name | 2022 EuCNC & 6G Summit |
Conference Location | Grenoble, France & online |
Start Date | Jun 7, 2022 |
End Date | Jun 10, 2022 |
Deposit Date | Jul 6, 2022 |
Publicly Available Date | Jul 12, 2022 |
Public URL | https://nottingham-repository.worktribe.com/output/8395706 |
Related Public URLs | https://www.eucnc.eu/programme/special-sessions/special-session-5/ |
Files
1570804020 Final
(1.2 Mb)
PDF
You might also like
Protecting privacy in microgrids using federated learning and deep reinforcement learning
(2022)
Conference Proceeding
Design and Analysis of SWIPT With Safety Constraints
(2021)
Journal Article
Graph Neural Network Based Beamforming in D2D Wireless Networks
(2021)
Conference Proceeding
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search