Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Riihonen, Taneli"'
This paper investigates a high-altitude platform (HAP) network enhanced with reconfigurable intelligent surfaces (RISs). The arbitrary placement of HAPs and RISs is modeled using stochastic geometry, specifically as homogeneous Poisson point processe
Externí odkaz:
http://arxiv.org/abs/2411.03886
In-band Full-Duplex (FD) Multiple-Input Multiple-Output (MIMO) systems offer a significant opportunity for Integrated Sensing and Communications (ISAC) due to their capability to realize simultaneous signal transmissions and receptions. This feature
Externí odkaz:
http://arxiv.org/abs/2410.06512
This paper presents and analyzes a reconfigurable intelligent surface (RIS)-based high-altitude platform (HAP) network. Stochastic geometry is used to model the arbitrary locations of the HAPs and RISs as a homogenous Poisson point process. Consideri
Externí odkaz:
http://arxiv.org/abs/2409.10040
This letter develops a novel transmit beamforming (BF) design for canceling self-interference (SI) in analog in-band full-duplex phased arrays. Our design maximizes transmit BF gain in a desired direction while simultaneously reducing SI power to bel
Externí odkaz:
http://arxiv.org/abs/2401.13914
Autor:
Barneto, Carlos Baquero, Riihonen, Taneli, Liyanaarachchi, Sahan Damith, Heino, Mikko, González-Prelcic, Nuria, Valkama, Mikko
In this article, we study the joint communication and sensing (JCAS) paradigm in the context of millimeter-wave (mm-wave) mobile communication networks. We specifically address the JCAS challenges stemming from the full-duplex operation and from the
Externí odkaz:
http://arxiv.org/abs/2109.05932
Autor:
Okati, Niloofar, Riihonen, Taneli
Providing truly ubiquitous connectivity requires development of low Earth orbit (LEO) satellite Internet, whose theoretical study is lagging behind network-specific simulations. In this paper, we derive analytical expressions for the downlink coverag
Externí odkaz:
http://arxiv.org/abs/2108.10785
Autor:
Pihlajasalo, Jaakko, Korpi, Dani, Honkala, Mikko, Huttunen, Janne M. J., Riihonen, Taneli, Talvitie, Jukka, Brihuega, Alberto, Uusitalo, Mikko A., Valkama, Mikko
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. Specifically, a novel deep learning based convolutional neural network re
Externí odkaz:
http://arxiv.org/abs/2106.16079
Autor:
Barneto, Carlos Baquero, Rastorgueva-Foi, Elizaveta, Keskin, Musa Furkan, Riihonen, Taneli, Turunen, Matias, Talvitie, Jukka, Wymeersch, Henk, Valkama, Mikko
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. In this article, we address the radio-base
Externí odkaz:
http://arxiv.org/abs/2102.11593
Autor:
Tanash, Islam M., Riihonen, Taneli
We revisit the Karagiannidis-Lioumpas (KL) approximation of the Q-function by optimizing its coefficients in terms of absolute error, relative error and total error. For minimizing the maximum absolute/relative error, we describe the targeted uniform
Externí odkaz:
http://arxiv.org/abs/2101.07631
We study radio-frequency (RF) wireless power transfer (WPT) using a digital radio transmitter for applications where alternative analog transmit circuits are impractical. An important paramter for assessing the viability of an RF WPT system is its en
Externí odkaz:
http://arxiv.org/abs/2012.01108