CQNet: Complex Input Quantized Neural Network designed for Massive MIMO CSI Feedback

02/15/2021
by   Sijie Ji, et al.
0

The Massive Multiple Input Multiple Output (MIMO) system is a core technology of the next generation communication. With the growing complexity of CSI in massive MIMO system, traditional compressive sensing based CSI feedback has become a bottleneck problem that is limited in piratical. Recently, numerous deep learning based CSI feedback approaches demonstrate the efficiency and potential. However, the existing methods lack a reasonable interpretation of the deep learning model and the accuracy of the model decreases significantly as the CSI compression rate increases. In this paper, from the intrinsic properties of CSI data itself, we devised the corresponding deep learning building blocks to compose a novel neural network CQNet and experiment result shows CQNet outperform the state-of-the-art method with less computational overhead by achieving an average performance improvement of 8.07 paper also investigates the reasons for the decrease in model accuracy at large compression rates and proposes a strategy to embed a quantization layer to achieve effective compression, by which the original accuracy loss of 67.19 average is reduced to 21.96 by 8 times on the original benchmark.

READ FULL TEXT

page 2

page 8

research
08/24/2022

Enhancing Deep Learning Performance of Massive MIMO CSI Feedback

CSI feedback is an important problem of Massive multiple-input multiple-...
research
06/14/2019

Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis

Massive multiple-input multiple-output (MIMO) is a promising technology ...
research
11/05/2020

Binary Neural Network Aided CSI Feedback in Massive MIMO System

In massive multiple-input multiple-output (MIMO) system, channel state i...
research
09/30/2022

A Learnable Optimization and Regularization Approach to Massive MIMO CSI Feedback

Channel state information (CSI) plays a critical role in achieving the p...
research
09/20/2020

A Markovian Model-Driven Deep Learning Framework for Massive MIMO CSI Feedback

Forward channel state information (CSI) often plays a vital role in sche...
research
11/19/2018

MIMO Channel Information Feedback Using Deep Recurrent Network

In a multiple-input multiple-output (MIMO) system, the availability of c...
research
04/28/2023

A manifold learning-based CSI feedback framework for FDD massive MIMO

Massive multi-input multi-output (MIMO) in Frequency Division Duplex (FD...

Please sign up or login with your details

Forgot password? Click here to reset