no code implementations • 21 Jan 2025 • Bikshapathi Gouda, Italo Atzeni, Antti Tölli
To address this, we apply a regularization to the sample covariance matrix using a shrinkage coefficient based on the received data signal.
no code implementations • 22 Jul 2024 • Bikshapathi Gouda, Italo Atzeni, Antti Tölli
First, in a scenario where a single RRH serves a single user equipment (UE), the signal-to-noise-and-distortion ratio (SNDR) is shown to be a non-monotonic and unimodal function of the UE transmit power due to the quantization distortion (QD).
no code implementations • 18 Jul 2024 • Minhua Ding, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst
We compare the BLMMSE with the optimal minimum mean squared error (MMSE) channel estimator, which is generally non-linear, and we develop a novel framework based on the orthant probability of a multivariate normal distribution to compute the MMSE channel estimate.
no code implementations • 4 Dec 2023 • Italo Atzeni, Antti Tölli, Duy H. N. Nguyen, A. Lee Swindlehurst
Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both.
no code implementations • 25 Oct 2023 • Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tölli
We propose uplink power control (PC) methods for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters, which are specifically tailored to address the non-monotonic data detection performance with respect to the transmit power of the user equipment (UE).
no code implementations • 31 Mar 2023 • Amin Radbord, Italo Atzeni, Antti Tölli
We provide new analytical results on the uplink data detection in massive multiple-input multiple-output systems with 1-bit analog-to-digital converters.
no code implementations • 23 May 2022 • Duy H. N. Nguyen, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst
In this paper, we build upon variational Bayes (VB) inference to design low-complexity multiuser detection algorithms for massive MIMO systems.
no code implementations • 10 Dec 2021 • Dileep Kumar, Onel L. Alcaraz López, Satya Krishna Joshi, Antti Tölli
Power splitting (PS) based simultaneous wireless information and power transfer (SWIPT) is considered in a multi-user multiple-input-single-output broadcast scenario.
no code implementations • 12 Oct 2021 • Bikshapathi Gouda, Italo Atzeni, Antti Tölli
Numerical results show that, in scenarios with short scheduling blocks, the proposed framework outperforms the case where the DL and UL beamforming strategies are computed individually via two separate bi-directional training phases thanks to the reduced training overhead.
no code implementations • 20 Aug 2021 • Dileep Kumar, Satya Joshi, Antti Tölli
The sensitivity of millimeter-wave (mmWave) radio channel to blockage is a fundamental challenge in achieving low-latency and ultra-reliable connectivity.
no code implementations • 4 Feb 2021 • Hamidreza Bakhshzad Mahmoodi, MohammadJavad Salehi, Antti Tölli
Immersive viewing is emerging as the next interface evolution for human-computer interaction.
Information Theory Information Theory
no code implementations • 26 Nov 2019 • Hossein Asgharimoghaddam, Jarkko Kaleva, Antti Tölli
Conducting analysis in the regime where $F$, $K$, and ${d_k,\forall k}$ converge to $+\infty$ at the same rate, we present EMI as a deterministic equivalent plus a residual term.
no code implementations • 14 Oct 2019 • Dileep Kumar, Jarkko Kaleva, Antti Tölli
The fundamental challenge of the millimeter-wave (mmWave) frequency band is the sensitivity of the radio channel to blockages, which gives rise to unstable connectivity and impacts the reliability of a system.