Blind Multi-user Detection for Autonomous Grant-free High-Overloading MA without Reference Signal

12/07/2017
by   Zhifeng Yuan, et al.
0

In this paper, a novel blind multi-user detection(MUD) framework for autonomous grant-free high-overloading non-orthogonal multiple access is introduced in detail aimed at fulfilling the requirements of fifth-generation massive Machine Type Communications. From the perspective of the transmitter side, pros and cons regarding diverse types of emerging grant-free transmission, particularly autonomous grant-free, are elaborated and presented in a comparative manner. In the receiver end,code word-level successive interference cancellation (CL-SIC) is revealed as the main framework to perform MUD. In addition, underpinning state-of-art blind ideas such as blind activation detection taking advantage of the statistical metric of the aggregate signals, blind equalization based on the constellation's simple geometric character of low order modulation symbols, and blind channel estimation employing solely the successfully decoded code words are explained.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/18/2018

Blind Receive Beamforming for Autonomous Grant-Free High-Overloading Multiple Access

Massive number of internet of things (IoT) devices are expected to simul...
research
03/08/2023

Next-Generation URLLC with Massive Devices: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access

This paper proposes a unified semi-blind detection framework for sourced...
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
07/20/2018

Blind Signal Classification for Non-Orthogonal Multiple Access in Internet-of-Things Networks

For downlink multiple-user (MU) transmission based on non-orthogonal mul...
research
09/15/2022

Blind and Channel-agnostic Equalization Using Adversarial Networks

Due to the rapid development of autonomous driving, the Internet of Thin...
research
06/21/2021

Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access

Multi-user shared access (MUSA) is introduced as advanced code domain no...
research
01/31/2019

High-dimensional Metric Combining for Non-coherent Molecular Signal Detection

In emerging Internet-of-Nano-Thing (IoNT), information will be embedded ...

Please sign up or login with your details

Forgot password? Click here to reset