Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random Access

04/04/2022
by   Shuang Liang, et al.
0

Joint activity detection and channel estimation (JADCE) for grant-free random access is a critical issue that needs to be addressed to support massive connectivity in IoT networks. However, the existing model-free learning method can only achieve either activity detection or channel estimation, but not both. In this paper, we propose a novel model-free learning method based on generative adversarial network (GAN) to tackle the JADCE problem. We adopt the U-net architecture to build the generator rather than the standard GAN architecture, where a pre-estimated value that contains the activity information is adopted as input to the generator. By leveraging the properties of the pseudoinverse, the generator is refined by using an affine projection and a skip connection to ensure the output of the generator is consistent with the measurement. Moreover, we build a two-layer fully-connected neural network to design pilot matrix for reducing the impact of receiver noise. Simulation results show that the proposed method outperforms the existing methods in high SNR regimes, as both data consistency projection and pilot matrix optimization improve the learning ability.

READ FULL TEXT

page 1

page 2

page 3

page 4

page 5

research
07/12/2021

Joint Activity Detection, Channel Estimation, and Data Decoding for Grant-free Massive Random Access

In the massive machine-type communication (mMTC) scenario, a large numbe...
research
04/10/2023

Matrix Factorization Based Blind Bayesian Receiver for Grant-Free Random Access in mmWave MIMO mMTC

Grant-free random access is promising for massive connectivity with spor...
research
12/25/2020

PDRS: A Fast Non-iterative Scheme for Massive Grant-free Access in Massive MIMO

Grant-free multiple-input multiple-output (MIMO) usually employs non-ort...
research
04/26/2021

Joint Activity Detection and Data Decoding in Massive Random Access via a Turbo Receiver

In this paper, we propose a turbo receiver for joint activity detection ...
research
05/11/2022

Error Rate Analysis for Grant-free Massive Random Access with Short-Packet Transmission

Grant-free massive random access (RA) is a promising protocol to support...
research
05/04/2023

A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes

Quantifying biomechanical properties of the human vasculature could deep...
research
03/14/2019

Non-Coherent Joint Transmission in Poisson Cellular Networks Under Pilot Contamination

This paper investigates the performance of downlink cellular networks wi...

Please sign up or login with your details

Forgot password? Click here to reset