Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
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Updated
Nov 28, 2020 - Python
Channel Estimation for One-Bit Multiuser Massive MIMO Using Conditional GAN
Partial implementation of the research paper "Sohrabi, Foad, & Yu, Wei (2016). Hybrid Digital and Analog Beamforming Design for Large-Scale Antenna Arrays" in Python.
Allows to reproduce the figures and the appendix of the paper "Correctly Modeling TX and RX Chain in (Distributed) Massive MIMO - New Fundamental Insights on Coherency"
Official repository for ASSENT: Learning-Based Association Optimization for Distributed Cell-Free ISAC — MILP formulation, GNN framework, and dataset.
Codes for Channel State Information (CSI) prediction using deep learning.
Code for DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks (IEEE INFOCOM 2021).
Codes for reproducing the numerical results reported in: "Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays" by Victor Croisfelt, Abolfazl Amiri, Taufik Abrão, Elisabeth de Carvalho and Petar Popovski.
Codes for reproducing the numerical results reported in: "An Orchestration Framework for Open System Models of Reconfigurable Intelligent Surfaces" by V. Croisfelt, F. Devoti, F. Saggese, V. Sciancalepore, X. Costa-Pérez, and P. Popovski.
Source code for the paper 'User-Driven Adaptive CSI Feedback With Ordered Vector Quantization' (IEEE WCL 2023).
Unofficial source code for the paper 'Multi-Rate Variable-Length CSI Compression for FDD Massive MIMO' (IEEE ICASSP 2024).
Codes for reproducing the numerical results reported in: "Decentralized Design of Fast Iterative Receiver for Massive MIMO with Spatial Non-Stationarities" by V. Croisfelt, T. Abrao, A. Amiri, E. de Carvalho, and P. Popovski.
Federated learning for CSI feedback compression - CsiNet + FedAvg under non-IID channel statistics
PhyMeta-STGT: unified spatio-temporal graph learning and parameter-efficient adaptation for low-pilot RIS cascaded channel completion on LPAN datasets.
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