Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, IN (Joint) |
2024-03-01 10:45 |
Okinawa |
Okinawa Convention Center |
Weighted Harmonic Mean Method based on RTT Difference in TCP Flows for Wi-Fi AP Selection by User Cooperative Mobility Naoyuki Ito, Yohei Hasegawa (Nagoya Univ.), Hiroyasu Obata (Hiroshima City Univ.), Tutomu Murase (Nagoya Univ.) IN2023-85 |
We develop an access point (AP) selection method by User-Cooperative Mobility for TCP flows with different RTTs, which c... [more] |
IN2023-85 pp.118-123 |
NS, IN (Joint) |
2024-03-01 10:10 |
Okinawa |
Okinawa Convention Center |
A method to improve fairness among LoRaWAN networks taking inspiration from biological symbiosis between different species Naoki Enomoto, Naoki Wakamiya (Osaka Univ.) NS2023-204 |
In LoRaWAN, performance is optimized by gateway’s assignment of the spreading factor (SF) of chirped spread spectrum to ... [more] |
NS2023-204 pp.190-195 |
SIP, IT, RCS |
2024-01-18 16:45 |
Miyagi |
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Offset Optimization Using Neural Networks for Cell Range Expansion Mitsuto Sato, Yuki Kusaka, Nobuhiko Miki (Kagawa Univ.) IT2023-47 SIP2023-80 RCS2023-222 |
Initiating commercial services globally, fifth-generation mobile communication systems (5G) are expanding quickly. In 5G... [more] |
IT2023-47 SIP2023-80 RCS2023-222 pp.88-92 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Investigation of Ultra-Fast Beam Selection Optimization Method Based on Ising Model Naganuma Shunta, Fujita Tsukumo, Arai Maki (Tokyo Univ. of Science), Li Aohan (The Univ. of Electro-Communications), Hasegawa Mikio (Tokyo Univ. of Science) |
The Ising model is a mathematical model that represents the spin interactions of microscopic components of a substance. ... [more] |
|
NS |
2023-10-06 10:00 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Fairness Evaluation of Practical Congestion Control Scheme in NDN Yusaku Hayamizu (NICT), Atsuya Shiota, Kai Sakamoto, Miki Yamamoto (Kansai Univ.) NS2023-97 |
In Named-Data Networking (NDN), Practical Congestion Control Scheme (PCON) has been proposed and been widely used for th... [more] |
NS2023-97 pp.130-131 |
CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Power control to ensure fairness in slotted ALOHA schemes for mMTC Chen Guanzhou, Yuki Ichimura, Mai Mikogami, Kouki Takahashi, Shigeo Shioda (Chiba Univ.) |
One of the usage scenarios for 5G is "massive machine type communications" (mMTC), where a large number of devices and b... [more] |
|
PN, NS, OCS (Joint) |
2023-06-09 10:50 |
Kagawa |
(Primary: On-site, Secondary: Online) |
A New Framework for Improving Inter-protocol Fairness of Congestion Control Algorihtms Satoshi Utsumi, Shogo Okada (Fukushima Univ.), Salahuddin Muhammad Salim Zabir (NIT, Tsuruoka College) NS2023-29 |
CUBIC and BBR are widely used as congestion control algorithms in the current Internet. When deploying new congestion co... [more] |
NS2023-29 pp.59-64 |
PN, NS, OCS (Joint) |
2023-06-09 11:15 |
Kagawa |
(Primary: On-site, Secondary: Online) |
A Study on Fairness Control Method for Best Effort Traffic
-- Applying Two Rate Three Color Marker and Weighted Random Early Detection -- Takayuki Fujiwara, Satoshi Nakatsukasa, Yuta Watanabe (NTT) NS2023-30 |
In order to provide communication services to many users with limited network elements, fairness control for best-effort... [more] |
NS2023-30 pp.65-70 |
RCS, IN, NV (Joint) |
2023-05-25 10:25 |
Kanagawa |
Keio University (Hiyoshi Campus), and online (Primary: On-site, Secondary: Online) |
Edge server placement selection method to reduce delay bias of jobs in base station networks Koki Shibata, Sumiko Miyata (SIT) IN2023-2 |
When edge computing is used for automated driving technology or online gaming, it is important to reduce the maximum del... [more] |
IN2023-2 pp.5-10 |
CCS |
2023-03-27 09:40 |
Hokkaido |
RUSUTSU RESORT |
A method to improve fairness among GWs inspired by heterogeneous symbiosis in LoRaWAN networks Naoki Enomoto, Naoki Wakamiya (Osaka Univ.) CCS2022-84 |
With the recent development of the Internet of Things (IoT), demand for LPWA (Low Power Wide Area), a long-distance, pow... [more] |
CCS2022-84 pp.117-122 |
IA, SITE, IPSJ-IOT [detail] |
2023-03-15 15:35 |
Gunma |
Maebashi Institute of Technology (Primary: On-site, Secondary: Online) |
Approach to design ELSI handbook through the fusion of humanities and sciences Hironori Furumiya, Kenichiro Yanagi, Reiko Takou, Masaru Miyazaki (NHK) SITE2022-57 IA2022-80 |
Ethical issues, legal issues, and social issues (ELSI) may arise when we attempt to implement new technologies in societ... [more] |
SITE2022-57 IA2022-80 pp.21-24 |
IN, NS (Joint) |
2023-03-02 13:50 |
Okinawa |
Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Proposal and evaluation of improving unfairness between QUIC flows in wireless LAN Yoshiki Osuga, Ken'ichi Kawanishi (Gunma Univ) NS2022-186 |
Multiple QUIC flows in wireless LAN cause remarkable throughput unfairness between uplink and downlink flows. For this p... [more] |
NS2022-186 pp.113-118 |
CQ, CBE (Joint) |
2023-01-27 11:05 |
Ibaraki |
Epochal Tsukuba International Congress Center (Primary: On-site, Secondary: Online) |
A Fairness Evaluation of TCP Flows in 10Gbps Network Shunji Aoyagi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) CQ2022-74 |
In recent years, the rapid increase in data volume has led to the need for communication networks to support higher tran... [more] |
CQ2022-74 pp.73-78 |
IT, RCS, SIP |
2023-01-24 10:50 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Approximation of PF metric in cell range extension using Neural Network Kusaka Yuki, Miki nobuhiko (Kagawa Univ) IT2022-31 SIP2022-82 RCS2022-210 |
The research and development of Beyond 5G (B5G) is currently underway around the world, and B5G requires even higher cap... [more] |
IT2022-31 SIP2022-82 RCS2022-210 pp.13-18 |
CCS |
2022-11-18 16:25 |
Mie |
(Primary: On-site, Secondary: Online) |
Edge Server Placement Decision Method Using Utilization Variance and Eccentricity Koki Shibata, Sumiko Miyata (SIT) CCS2022-61 |
When edge computing is used for automated driving technology or online gaming, it is important to reduce the maximum del... [more] |
CCS2022-61 pp.91-96 |
RCS |
2022-10-27 16:00 |
Ehime |
Ehime University, and online (Primary: On-site, Secondary: Online) |
Toward Improved Energy Fairness for CSMA-based LoRaWAN Chenglong Shao, Osamu Muta (Kyushu Univ.) RCS2022-139 |
This paper proposes a heterogeneous carrier-sense multiple access (CSMA) protocol named LoHEC as the first research atte... [more] |
RCS2022-139 pp.47-52 |
NS |
2022-10-05 16:00 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Significant Performance Decline of TCP BBR at the Start of Connection and Its Relief Natsuki Katsumata, Kohei Ogawa, Saneyasu Yamaguchi (Kogakuin University) NS2022-85 |
(To be available after the conference date) [more] |
NS2022-85 pp.18-23 |
COMP, IPSJ-AL |
2022-09-15 11:30 |
Kanagawa |
Keio Univ. (Primary: On-site, Secondary: Online) |
Discussion on New Definition of Individual Fairness for Two-sided Matching Toru Nakamura, Takamasa Isohara (KDDI Research) COMP2022-12 |
Popularity Preserving Fairness (PPF), which is a new definition of individual fairness for two-sided matching was propos... [more] |
COMP2022-12 pp.10-15 |
NS, IN, CS, NV (Joint) |
2022-09-02 09:40 |
Iwate |
MALIOS (Iwate Prefecture) + Online Meeting (Primary: On-site, Secondary: Online) |
Performance Evaluation of Switching Method of Media Access Control for Improving Fairness of Throughput between WLAN systems Hiroyasu Obata, Chisa Takano (Hiroshima City Univ.) IN2022-33 |
By widespread of a mobile access point (AP) and smart phone with tethering function, a situation where a lot of Wireless... [more] |
IN2022-33 pp.33-38 |
KBSE |
2022-03-09 16:50 |
Online |
Online (Zoom) |
Fairness Testing of Machine Learning Software through a Combinatorial Approach Daniel Perez Morales (AIST/Keio Univ.), Takashi Kitamura (AIST), Shingo Takada (Keio Univ.) KBSE2021-50 |
Machine learning (ML) can be used in decision-making algorithms or classifiers. These classifiers must be tested looking... [more] |
KBSE2021-50 pp.54-59 |