About Our Laboratory

Our Mission

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, wireless signal processing, space-time coding, millimeter-wave and visible light 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.

Current research topics: massive MIMO, millimeter-wave mobile communications, Wi-Fi monitoring, wireless network visualization, tensor wireless, and open innovation.

Announcements

  • 2020/10/05 Three undergraduate students joined our laboratory.
  • 2020/08/31 Our paper on the nonsquare differential encoding and its error rate analysis was accepted for publication in IEEE Transactions on Communications.
  • 2020/05/01 Our laboratory signed a joint research agreement with Internet Initiative Japan, Inc.
  • 2020/04/01 Dr. Naoki Ishikawa started his new career as an associate professor. He launched a new laboratory with three undergraduate students.

High-Speed Mobile Wireless

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!

Power-Saving Index Modulation

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.

Passive Wi-Fi Monitoring

In any Wi-Fi network, anyone can observe 802.11 frames easily. By exploiting these observed frames, we have proposed a novel method to estimate the QoS of an access point.

Tensor Wireless

The latest GPUs are capable of fast tensor operations in excess of 100 TFLOPS. Taking this advantage, we aim to develop new communication software that would work for the future base station or access point.

Open-Source Software

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.

WiPhy (beta)

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.

How to Visit Us

Our laboratory is located in Room 304 of the N6-2 building, and Dr. Naoki Ishikawa's office is located in Room 309. The entrance of the N6-2 building is exactly here. At the entrance, there is an information board that will guide you.
If you use public transportation, the easiest way to visit our laboratory is to take a bus from the west exit of Yokohama Station. The Sotetsu Bus "Hama 11" is relatively frequent and takes about 15 minutes from platform 9 at the west exit to "Hijirigaoka", which is a bus stop near the north gate of Yokohama National University. The Sotetsu Bus "Hama 10" (platform 10 at the west exit) and Yokohama Municipal Bus No. 201/329 (platform 14 at the west exit) take you to the bus stop "Kokudai-Kita" just north of our building. When you return, the first bus departing from "Kokudai-Nishi" or a bus from "Hijirigaoka" would be convenient for you.
If you would like to take a taxi, please tell the taxi driver to enter from the main gate of Yokohama National University and go to the second bus stop. The driver understands the destination by reading the following Japanese sentence 「横浜国立大学の正門から入って二つ目のバス停まで道なりにまっすぐお願いします」. There are "Keio Taxi" and "Metro Taxi" offices near the main gate. In addition, you will see a lot of "Peace Taxis" around the campus. Any taxi app is also convenient in this area.

Contact

Affiliation: Faculty of Engineering, Yokohama National University, Japan.
Address: Room 309, N6-2, 79-5 Tokiwadai, Hodogaya-ku, Yokohama-shi, Kanagawa-ken, 2400067 Japan.
Name: Dr. Naoki Ishikawa
Email: ishikawa-naoki-fr [at] ynu.ac.jp