Search Results for author: Koji Ishibashi

Found 6 papers, 0 papers with code

A New Noncoherent Gaussian Signaling Scheme for Low Probability of Detection Communications

no code implementations8 Jan 2023 Yuma Katsuki, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi, Naoki Ishikawa

We propose a novel, Gaussian signaling mechanism for low probability of detection (LPD) communication systems with either single or multiple antennas.

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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