Search Results for author: Mikko Valkama

Found 31 papers, 1 papers with code

Multicarrier ISAC: Advances in Waveform Design, Signal Processing and Learning under Non-Idealities

no code implementations26 Jun 2024 Visa Koivunen, Musa Furkan Keskin, Henk Wymeersch, Mikko Valkama, Nuria González-Prelcic

This paper addresses the topic of integrated sensing and communications (ISAC) in 5G and emerging 6G wireless networks.

Robust NLoS Localization in 5G mmWave Networks: Data-based Methods and Performance

no code implementations24 Jun 2024 Roman Klus, Jukka Talvitie, Julia Vinogradova, Gabor Fodor, Johan Torsner, Mikko Valkama

The results show the robustness of the proposed CSI features in terms of positioning accuracy, and that the proposed models reliably localize UEs even in the absence of a LoS path, clearly outperforming the state-of-the-art with similar or even reduced processing complexity.

Transfer Learning

Integrated Monostatic Sensing and Full-Duplex Multiuser Communication for mmWave Systems

no code implementations15 May 2024 Murat Bayraktar, Nuria González-Prelcic, Mikko Valkama, Hao Chen, Charlie Jianzhong Zhang

The precoders at the FD BS are designed by reformulating the communication and sensing constraints as signal-to-leakage-plus-noise ratio (SLNR) maximization problems that consider SI and MU interference as leakage.

The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications

no code implementations3 May 2024 Nuria González-Prelcic, Musa Furkan Keskin, Ossi Kaltiokallio, Mikko Valkama, Davide Dardari, Xiao Shen, Yuan Shen, Murat Bayraktar, Henk Wymeersch

Future wireless networks will integrate sensing, learning and communication to provide new services beyond communication and to become more resilient.

Enhancing Physical Layer Security with Deep SIMO Auto-Encoder and RF Impairments Modeling

no code implementations30 Apr 2024 Abdullahi Mohammad, Mahmoud Tukur Kabir, Mikko Valkama, Bo Tan

This paper presents a novel approach to achieving secure wireless communication by leveraging the inherent characteristics of wireless channels through end-to-end learning using a single-input-multiple-output (SIMO) autoencoder (AE).


Robust Snapshot Radio SLAM

no code implementations16 Apr 2024 Ossi Kaltiokallio, Elizaveta Rastorgueva-Foi, Jukka Talvitie, Yu Ge, Henk Wymeersch, Mikko Valkama

The intrinsic geometric connections between millimeter-wave (mmWave) signals and the propagation environment can be leveraged for simultaneous localization and mapping (SLAM) in 5G and beyond networks.

Simultaneous Localization and Mapping

Time vs. Frequency Domain DPD for Massive MIMO: Methods and Performance Analysis

no code implementations26 Feb 2024 Yibo Wu, Ulf Gustavsson, Mikko Valkama, Alexandre Graell i Amat, Henk Wymeersch

The use of up to hundreds of antennas in massive multi-user (MU) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) poses a complexity challenge for digital predistortion (DPD) aiming to linearize the nonlinear power amplifiers (PAs).

Millimeter-wave Radio SLAM: End-to-End Processing Methods and Experimental Validation

no code implementations21 Dec 2023 Elizaveta Rastorgueva-Foi, Ossi Kaltiokallio, Yu Ge, Matias Turunen, Jukka Talvitie, Bo Tan, Musa Furkan Keskin, Henk Wymeersch, Mikko Valkama

In this article, we address the timely topic of cellular bistatic simultaneous localization and mapping (SLAM) with specific focus on end-to-end processing solutions, from raw I/Q samples, via channel parameter estimation to user equipment (UE) and landmark location information in millimeter-wave (mmWave) networks, with minimal prior knowledge.

Simultaneous Localization and Mapping

JrCUP: Joint RIS Calibration and User Positioning for 6G Wireless Systems

no code implementations2 Apr 2023 Pinjun Zheng, Hui Chen, Tarig Ballal, Mikko Valkama, Henk Wymeersch, Tareq Y. Al-Naffouri

In the second stage, a two-dimensional search algorithm is proposed to estimate the three-dimensional user and RIS positions, one-dimensional RIS orientation, and clock bias from the estimated channel parameters.

Joint RIS Calibration and Multi-User Positioning

no code implementations8 Dec 2022 Yi Lu, Hui Chen, Jukka Talvitie, Henk Wymeersch, Mikko Valkama

Reconfigurable intelligent surfaces (RISs) are expected to be a key component enabling the mobile network evolution towards a flexible and intelligent 6G wireless platform.

MmWave Mapping and SLAM for 5G and Beyond

no code implementations29 Nov 2022 Yu Ge, Ossi Kaltiokallio, Hyowon Kim, Jukka Talvitie, Sunwoo Kim, Lennart Svensson, Mikko Valkama, Henk Wymeersch

We distinguish the different types of sensing problems and then focus on mapping and SLAM as running examples.

Simultaneous Localization and Mapping

Doppler Exploitation in Bistatic mmWave Radio SLAM

no code implementations22 Aug 2022 Yu Ge, Ossi Kaltiokallio, Hui Chen, Fan Jiang, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch

Networks in 5G and beyond utilize millimeter wave (mmWave) radio signals, large bandwidths, and large antenna arrays, which bring opportunities in jointly localizing the user equipment and mapping the propagation environment, termed as simultaneous localization and mapping (SLAM).

Simultaneous Localization and Mapping

Towards Length-Versatile and Noise-Robust Radio Frequency Fingerprint Identification

no code implementations6 Jul 2022 Guanxiong Shen, Junqing Zhang, Alan Marshall, Mikko Valkama, Joseph Cavallaro

During the inference, a multi-packet inference approach is further leveraged to improve the classification accuracy in low SNR scenarios.

Data Augmentation

Frequency-domain digital predistortion for Massive MU-MIMO-OFDM Downlink

no code implementations10 May 2022 Yibo Wu, Ulf Gustavsson, Mikko Valkama, Alexandre Graell i Amat, Henk Wymeersch

In this paper, we propose a convolutional neural network (CNN)-based DPD in the frequency domain, taking place before the precoding, where the dimensionality of the signal space depends on the number of users, instead of the number of BS antennas.

Flexible fast-convolution processing for cellular radio evolution

no code implementations5 Feb 2022 Juha Yli-Kaakinen, Toni Levanen, Arto Palin, Markku Renfors, Mikko Valkama

Orthogonal frequency-division multiplexing (OFDM) has been selected as a baseline waveform for long-term evolution (LTE) and fifth-generation new radio (5G NR).

Iterated Posterior Linearization PMB Filter for 5G SLAM

no code implementations5 Dec 2021 Yu Ge, Yibo Wu, Fan Jiang, Ossi Kaltiokallio, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Henk Wymeersch

In this paper, we study the linearization of the measurement function with respect to the posterior PDF, and implement the iterated posterior linearization filter into the Poisson multi-Bernoulli SLAM filter.

Simultaneous Localization and Mapping

Phase Noise Resilient Three-Level Continuous-Phase Modulation for DFT-Spread OFDM

no code implementations12 Oct 2021 Markku Renfors, Ismael Peruga Nasarre, Toni Levanen, Mikko Valkama, Kari Pajukoski

A novel OFDM-based waveform with low peak-to-average power ratio (PAPR) and high robustness against phase noise (PN) is presented.

Beamformer Design and Optimization for Full-Duplex Joint Communication and Sensing at mm-Waves

no code implementations13 Sep 2021 Carlos Baquero Barneto, Taneli Riihonen, Sahan Damith Liyanaarachchi, Mikko Heino, Nuria González-Prelcic, Mikko Valkama

We then also propose new transmitter and receiver beamforming solutions for purely analog beamforming based JCAS systems that maximize the beamforming gain at the sensing direction while controlling the beamformed power at the communications direction(s), cancelling the SI as well as eliminating the potential reflection from the communication direction and optimizing the combined radar pattern (CRP).

A Computationally Efficient EK-PMBM Filter for Bistatic mmWave Radio SLAM

no code implementations8 Sep 2021 Yu Ge, Ossi Kaltiokallio, Hyowon Kim, Fan Jiang, Jukka Talvitie, Mikko Valkama, Lennart Svensson, Sunwoo Kim, Henk Wymeersch

Millimeter wave (mmWave) signals are useful for simultaneous localization and mapping (SLAM), due to their inherent geometric connection to the propagation environment and the propagation channel.

Simultaneous Localization and Mapping

Converging Radar and Communications in the Superposition Transmission

no code implementations12 Aug 2021 Wenbo Wang, Bo Tan, Elena Simona Lohan, Mikko Valkama

Under communications quality-of-service (QoS) constraints, the joint performance region of communications sum rate and radar estimation error variance is studied.


HybridDeepRx: Deep Learning Receiver for High-EVM Signals

no code implementations30 Jun 2021 Jaakko Pihlajasalo, Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Taneli Riihonen, Jukka Talvitie, Alberto Brihuega, Mikko A. Uusitalo, Mikko Valkama

In this paper, we propose a machine learning (ML) based physical layer receiver solution for demodulating OFDM signals that are subject to a high level of nonlinear distortion.

Vocal Bursts Intensity Prediction

Millimeter-wave Mobile Sensing and Environment Mapping: Models, Algorithms and Validation

1 code implementation23 Feb 2021 Carlos Baquero Barneto, Elizaveta Rastorgueva-Foi, Musa Furkan Keskin, Taneli Riihonen, Matias Turunen, Jukka Talvitie, Henk Wymeersch, Mikko Valkama

Integrating efficient connectivity, positioning and sensing functionalities into 5G New Radio (NR) and beyond mobile cellular systems is one timely research paradigm, especially at mm-wave and sub-THz bands.

DECT-2020 New Radio: The Next Step Towards 5G Massive Machine-Type Communications

no code implementations18 Jan 2021 Roman Kovalchukov, Dmitri Moltchanov, Juho Pirskanen, Joonas Sae, Jussi Numminen, Yevgeni Koucharyavy, Mikko Valkama

Massive machine type communications (mMTC) is one of the cornerstone services that have to be supported by 5G systems.

Networking and Internet Architecture

Joint Positioning and Tracking via NR Sidelink in 5G-Empowered Industrial IoT: Releasing the Potential of V2X Technology

no code implementations15 Jan 2021 Yi Lu, Mike Koivisto, Jukka Talvitie, Elizaveta Rastorgueva-Foi, Toni Levanen, Elena Simona Lohan, Mikko Valkama

The fifth generation (5G) mobile networks with enhanced connectivity and positioning capabilities play an increasingly important role in the development of automated vehicle-to-everything (V2X) and other advanced industrial Internet of Things (IoT) systems.

Frequency-Domain Signal Processing for Spectrally-Enhanced CP-OFDM Waveforms in 5G New Radio

no code implementations3 Aug 2020 Juha Yli-Kaakinen, AlaaEddin Loulou, Toni Levanen, Kari Pajukoski, Arto Palin, Markku Renfors, Mikko Valkama

These schemes are based on dynamically adjusting the overlap periods and extrapolating the CP samples, which make it possible to align the FC blocks with each OFDM symbol, even in case of variable CP lengths.

Mobile Communications Beyond 52.6 GHz: Waveforms, Numerology, and Phase Noise Challenge

no code implementations19 Dec 2019 Toni Levanen, Oskari Tervo, Kari Pajukoski, Markku Renfors, Mikko Valkama

In this article, the first considerations for the 5G New Radio (NR) physical layer evolution to support beyond 52. 6GHz communications are provided.

Gradient-Adaptive Spline-Interpolated LUT Methods for Low-Complexity Digital Predistortion

no code implementations4 Jul 2019 Pablo Pascual Campo, Alberto Brihuega, Lauri Anttila, Matias Turunen, Dani Korpi, Markus Allén, Mikko Valkama

The results show that the linearization capabilities of the proposed methods are very close to that of the ordinary MP DPD, particularly with the proposed SMP approach, while having substantially lower processing complexity.

Digital Predistortion for Multiuser Hybrid MIMO at mmWaves

no code implementations22 Mar 2019 Alberto Brihuega, Lauri Anttila, Mahmoud Abdelaziz, Fredrik Tufvesson, Mikko Valkama

Efficient mitigation of power amplifier (PA) nonlinear distortion in multi-user hybrid precoding based broadband mmWave systems is an open research problem.

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