Search Results for author: Olav Tirkkonen

Found 8 papers, 0 papers with code

Representation-Constrained Autoencoders and an Application to Wireless Positioning

no code implementations ICLR 2019 Pengzhi Huang, Emre Gonultas, Said Medjkouh, Oscar Castaneda, Olav Tirkkonen, Tom Goldstein, Christoph Studer

In a number of practical applications that rely on dimensionality reduction, the dataset or measurement process provides valuable side information that can be incorporated when learning low-dimensional embeddings.

Dimensionality Reduction

Pilot Reuse for mMTC with Spatially Correlated MIMO Channels: A Channel Charting Approach

no code implementations13 Mar 2022 Lucas Ribeiro, Markus Leinonen, Hanan Al-Tous, Olav Tirkkonen, Markku Juntti

Massive multiple-input multiple-output (mMIMO) technology is a way to increase the spectral efficiency of machine-type communications (MTC).

Exploiting Spatial Correlation for Pilot Reuse in Single-Cell mMTC

no code implementations24 Apr 2021 Lucas Ribeiro, Markus Leinonen, Hanan Al-Tous, Olav Tirkkonen, Markku Juntti

This work addresses the design of channel features from correlated fading channels to assist the pilot assignment in multi-sector mMTC systems under pilot reuse of orthogonal sequences.

Binary Subspace Chirps

no code implementations24 Feb 2021 Tefjol Pllaha, Olav Tirkkonen, Robert Calderbank

We describe in details the interplay between binary symplectic geometry and quantum computation, with the ultimate goal of constructing highly structured codebooks.

Information Theory Information Theory

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

no code implementations28 Feb 2020 Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou

This paper investigates various applications of big data analytics, especially machine learning algorithms in wireless communications and channel modeling.

Siamese Neural Networks for Wireless Positioning and Channel Charting

no code implementations29 Sep 2019 Eric Lei, Oscar Castañeda, Olav Tirkkonen, Tom Goldstein, Christoph Studer

In this paper, we propose a unified architecture based on Siamese networks that can be used for supervised UE positioning and unsupervised channel charting.

Dimensionality Reduction

Improving Channel Charting with Representation-Constrained Autoencoders

no code implementations7 Aug 2019 Pengzhi Huang, Oscar Castañeda, Emre Gönültaş, Saïd Medjkouh, Olav Tirkkonen, Tom Goldstein, Christoph Studer

Channel charting (CC) has been proposed recently to enable logical positioning of user equipments (UEs) in the neighborhood of a multi-antenna base-station solely from channel-state information (CSI).

Dimensionality Reduction

Channel Charting: Locating Users within the Radio Environment using Channel State Information

no code implementations13 Jul 2018 Christoph Studer, Saïd Medjkouh, Emre Gönültaş, Tom Goldstein, Olav Tirkkonen

We propose channel charting (CC), a novel framework in which a multi-antenna network element learns a chart of the radio geometry in its surrounding area.

Dimensionality Reduction

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