Search Results for author: Hiroki Iimori

Found 10 papers, 0 papers with code

Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization

no code implementations20 Feb 2025 Taiki Kato, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

Data-carrying reference signals are a type of reference signal (RS) constructed on the Grassmann manifold, which allows for simultaneous data transmission and channel estimation to achieve boosted spectral efficiency at high signal-to-noise ratios (SNRs).

Bayesian Optimization

Superimposed Pilot-Based OTFS -- Will it Work?

no code implementations27 Jan 2025 Yuta Kanazawa, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

Orthogonal time frequency space (OTFS) modulation is a promising solution to handle doubly-selective fading, but its channel estimation is a nontrivial task in terms of maximizing spectral efficiency.

Covert Communications Without Pre-Sharing of Side Information and Channel Estimation Over Quasi-Static Fading Channels

no code implementations18 Sep 2024 Hiroki Fukada, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

We propose a new covert communication scheme that operates without pre-sharing side information and channel estimation, utilizing a Gaussian-distributed Grassmann constellation for noncoherent detection.

Joint Channel and Data Estimation for Multiuser Extremely Large-Scale MIMO Systems

no code implementations27 Jun 2024 Kabuto Arai, Koji Ishibashi, Hiroki Iimori, Paulo Valente Klaine, Szabolcs Malomsoky

The JCDE problem is solved by sequential expectation propagation (EP) algorithms, where the channel and data are alternately updated in an iterative manner.

Bayesian Inference compressed sensing

Boosting Spectral Efficiency with Data-Carrying Reference Signals on the Grassmann Manifold

no code implementations5 Jan 2024 Naoki Endo, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

In wireless networks, frequent reference signal transmission for accurate channel reconstruction may reduce spectral efficiency.

Grant-Free Access via Bilinear Inference for Cell-Free MIMO with Low-Coherent Pilots

no code implementations27 Sep 2020 Hiroki Iimori, Takumi Takahashi, Koji Ishibashi, Giuseppe Thadeu Freitas de Abreu, Wei Yu

We propose a novel joint activity, channel, and data estimation (JACDE) scheme for cell-free multiple-input multiple-output (MIMO) systems compliant with fifth-generation (5G) new radio (NR) orthogonal frequency-division multiplexing (OFDM) signaling.

Action Detection Activity Detection

Full-Duplex MIMO Systems with Hardware Limitations and Imperfect Channel Estimation

no code implementations7 Jun 2020 Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi

We consider a bidirectional in-band full-duplex (FD) multiple-input multiple-output (MIMO) system subject to imperfect channel state information (CSI), hardware distortion, and limited analog cancellation capability as well as the self-interference (SI) power requirement at the receiver analog domain so as to avoid the saturation of low noise amplifier (LNA).

Discrete-Aware Matrix Completion via Proximal Gradient

no code implementations7 Jun 2020 Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, Omid Taghizadeh, Koji Ishibashi

We present a novel algorithm for the completion of low-rank matrices whose entries are limited to a finite discrete alphabet.

Matrix Completion

Robust Symbol Detection in Overloaded NOMA Systems

no code implementations21 Jan 2020 Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, Hara Takanori, Koji Ishibashi, Razvan-Andrei Stoica, David Gonzalez G., Andreas Andrae, Osvaldo Gonsa

Simulation results show that the proposed art significantly outperforms both classic receivers, such as the LMMSE, and recent CS-based alternatives, such as the SOAV and the SCSR detectors.

Compressive Sensing

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