Semi-supervised t-SNE for Millimeter-wave Wireless Localization

11/26/2021
by   Junquan Deng, et al.
4

We consider the mobile localization problem in future millimeter-wave wireless networks with distributed Base Stations (BSs) based on multi-antenna channel state information (CSI). For this problem, we propose a Semi-supervised tdistributed Stochastic Neighbor Embedding (St-SNE) algorithm to directly embed the high-dimensional CSI samples into the 2D geographical map. We evaluate the performance of St-SNE in a simulated urban outdoor millimeter-wave radio access network. Our results show that St-SNE achieves a mean localization error of 6.8 m with only 5 channel model. St-SNE does not require accurate synchronization among multiple BSs, and is promising for future large-scale millimeter-wave localization.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/03/2021

Semi-Supervised Learning for Channel Charting-Aided IoT Localization in Millimeter Wave Networks

In this paper, a novel framework is proposed for channel charting (CC)-a...
research
03/24/2020

Learning-based Handover in Mobile Millimeter-wave Networks

Millimeter-wave (mmWave) communication is considered as a key enabler of...
research
01/31/2019

Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications

We experimentally demonstrate a novel scheme of power loading based on p...
research
02/11/2020

Secure Millimeter Wave Cloud Radio Access Networks Relying on Microwave Multicast Fronthaul

In this paper, we investigate the downlink secure beamforming (BF) desig...
research
04/07/2019

Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning

Beamforming (BF) design for large-scale antenna arrays with limited radi...
research
03/15/2018

Performance and Impairment Modelling for Hardware Components in Millimetre-wave Transceivers

This invited paper details some of the hardware modelling and impairment...
research
05/02/2018

How Many Hops Can Self-Backhauled Millimeter Wave Cellular Networks Support?

This paper considers the following question for viable wide-area millime...

Please sign up or login with your details

Forgot password? Click here to reset