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Naoki Ishikawa

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • cs.IT1
ORCID 0000-0001-8978-4849
same name
  • Naoki Ishikawa — 2 papers
  • Naoki Ishikawa — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedOn the Capacity of Generalized Quadrature Spatial Modulation

4 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2024★ 4 cited

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

Naoki Endo, Hiroki Iimori, Chandan Pradhan +2

In wireless networks, frequent reference signal transmission for accurate channel reconstruction may reduce spectral efficiency. To address this issue, we consider to use a data-ca…

cs.IT2023★ 4 cited

On the Capacity of Generalized Quadrature Spatial Modulation

Kein Yukiyoshi, Naoki Ishikawa

In this letter, the average mutual information (AMI) of generalized quadrature spatial modulation (GQSM) is first derived for continuous-input continuous-output channels. Our mathe…

eess.SP2023★ 1 cited

Optimal but Low-Complexity Optimization Method for Nonsquare Differential Massive MIMO

Yuma Katsuki, Naoki Ishikawa

In this paper, we propose an optimal but low-complexity optimization method for nonsquare differential massive MIMO. While a discrete nonlinear optimization is required for the con…

eess.SP2023★ 3 cited

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

Yuma Katsuki, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi +1

We propose a novel, Gaussian signaling mechanism for low probability of detection (LPD) communication systems with either single or multiple antennas. The new scheme is designed to…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.