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Our mission is to explore state-of-the-art wireless communication technologies and to establish basic concepts that would inspire researchers for many years to go on. In particular, we have specialized in high-speed millimeter-wave communications, power-saving algorithms, highly-parallel wireless signal processing, and nonsquare differential coding. It is worth noting that our representative paper on index modulation has been recognized as the top one percent of papers in the WoS database.

Research areas: mobile communications, post-quantum physical layer security, quantum speedup for wireless communications.

Opening(s)

Our laboratory was launched in April 2020. Since it is a fresh laboratory, we welcome fresh and highly motivated students to explore the edge of wireless technologies. Currently, we are accepting up to one MEXT-funded master's course student from abroad. Please check our official website for application deadlines. If you are interested in joining our laboratory as a Ph.D. candidate, please send your detailed CV and a list of research publications to the email address provided at the bottom of this web page. Dr. Naoki Ishikawa, who is the PI of this laboratory, has worked on both communication engineering and information science, resulting in a wide range of research topics. The current topics are given as follows.

• 2024/04/22 Our paper on the acceleration of Grover adaptive search has been accepted for publication in IEEE Transactions on Quantum Engineering.
• Yuki Sano, Kosuke Mitarai, Naoki Yamamoto, and Naoki Ishikawa, “Accelerating Grover adaptive search: Qubit and gate count reduction strategies with higher-order formulations,” IEEE Transactions on Quantum Engineering, in press. (arXiv)
• 2024/04/01 Two graduate and three undergraduate students joined our laboratory.
• 2024/03/25 Mr. Yukiyoshi received a grant from the Unitary Fund for the global expansion of his quantum programming contest system. (Web)
• 2024/03/25 Two graduate students successfully completed their master's degrees, and three undergraduate students successfully completed their bachelor's degrees. In addition, Mr. Norimoto received the YNU CREATES Paper Award.
• 2024/03/14 Prof. Konstantin Mikhaylov (Assistant Professor, University of Oulu) visited our laboratory. He will stay until April 18.
• 2024/03/14 Mr. Norimoto received the IEICE Smart Radio Paper Award. (SR / YNU)
• 2024/02/21 Our proposal for JSPS Grant-in-Aid (Fund for the Promotion of Joint International Research) has been approved.
• 2024/02/20 Our paper on the achievable rate analysis of data-carrying reference signal has been accepted for publication in IEEE Transactions on Wireless Communications.
• Naoki Endo, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, and Naoki Ishikawa, “Boosting spectral efficiency with data-carrying reference signals on the Grassmann manifold,” IEEE Transactions on Wireless Communications, in press. (arXiv)
• 2024/01/18 Mr. Katsuki received the IEEE SPS Japan Student Journal Paper Award. (SPS / YNU)

List of past announcements

The fundamental limit of semiconductor miniaturization is approaching. The day may come when wireless technology will no longer be able to meet the increasing demand for communications. Our goal is to revolutionize wireless communications by breaking the limit of classical computation through quantum computation. Specifically, we try to solve NP-hard problems specific to the wireless field using the Grover search, which is an algorithm that can provide a quantum speedup.

In Wi-Fi networks, it is easy for third parties to observe raw digital information. Since this information is encrypted in the transport layer, we can feel safe to use, but this security is not guaranteed for eternity. For example, the widely used public-key encryption method, RSA, has been threatened by the invention of Shor’s algorithm, which performs integer factoring in polynomial time using a quantum computer. In order to enhance security, we try to encrypt radio waves themselves using true random numbers extracted from wireless physical layer.

When a wireless device moves fast, the surrounding radio environment changes rapidly, resulting in poor communication quality. To address this challenging problem, we have worked on a unique technique called non-square differential coding, which is expected to improve the performance of 5G millimeter-wave communications. By contrast, this new scheme suffers from the error propagation problem. It is not going to be easy!

In general, when considering a new scheme for the physical layer, we inevitably encounter a tradeoff between the computational complexity and the achievable performance. Between two stools, you fall to the ground. Since 2008, a new technique called index modulation has attracted attention because it may be capable of striking the tradeoff. We try to investigate its fundamental property by invoking recent technologies that have been developed for machine learning.

Clarivate Analytics Japan surveyed the top 20 most cited papers of the Heisei era. In this survey, seven papers on software and databases were nominated. Our laboratory publishes source codes and databases online that are necessary to reproduce out research outcomes, and we believe it can further accelerate research development. Our GitHub account can be found here.

IEEE Journal & Magazine Papers Published by Researchers in Japan

This web page provides a list of IEEE journal/magazine papers published by researchers in Japan, covering the period from 1954 to the present. It is useful for understanding the transition of research conducted in Japan, the bias of researcher population, distinguished researchers in each field, and the international research presence. The list is automatically aggregated using the open data DBLP, but it is updated about once a year because it is checked as carefully as possible before publication.

WiPhy

This Python package enables one to easily investigate the performance of state-of-the-art technologies that have gained attention in the field of wireless communications. Different from GNU Radio and other relevant packages, it adopted tensor operations for time-consuming algorithms. Thus, it succeeded in achieving incredibly fast simulations, even though it relied on high-overhead Python.

IMToolkit

This Python package is dedicated to the index modulation (IM) scheme, which has attracted tremendous attention since 2008. The performance of IM heavily depends on the index patterns that activate K out of M elements. This package contains 560MB of optimal patterns that are obtained through our proposed combinatorial optimization algorithm. Currently, it supports 100% of IM parameters for M <= 20 and 75.5% for M <= 32.