Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, RCS (Joint) |
2023-12-14 11:25 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Scheduling of OFDM Subcarrier to Provide Multiuser Diversity Gain Yuta Ida (Yamaguchi Univ.), Yasuaki Ohira (Kagoshima Univ.), Sho Kuroda (FX Systems), Takahiro Matsumoto (Kagoshima Univ.) NS2023-129 RCS2023-182 |
In an orthogonal frequency division multiple access (OFDMA) which is a kind of multi-access techniques, the subcarrier a... [more] |
NS2023-129 RCS2023-182 p.32 |
NS, RCS (Joint) |
2023-12-15 17:10 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
A Study of Admission Control Optimization Using Ising Machines for Non-Orthogonal Multiple Access Wireless Systems Hiroto Nakano, Patrick Finnerty, Chikara Ohta (Kobe Univ.), Fumio Ishizaki (Modal Stage Inc.) NS2023-157 |
In this study, we propose a method to transform the admission control and resource allocation for Non-Orthogonal Multipl... [more] |
NS2023-157 pp.181-186 |
RCS, SAT (Joint) |
2023-08-31 09:25 |
Nagano |
Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
Performance of Hybrid Multiple Access Scheme Employing Multiple Transmit Antennas Under Non-uniform User Distribution Nozomi Sasaki, Fuga Tanaka, Shuhei Saito, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2023-105 |
This report presents the performance of a hybrid multiple access scheme that simultaneously utilizes non-orthogonal mult... [more] |
RCS2023-105 pp.21-25 |
IA, CQ, MIKA (Joint) |
2022-09-15 17:00 |
Hokkaido |
Hokkaido Citizens Actives Center (Primary: On-site, Secondary: Online) |
A Study on Compressed Sensing Based Power Allocation and User Selection Scheme Considering Channel State in Downlink NOMA, Part2 Tomofumi Makita, Osamu Muta (Kyushu Univ.) CQ2022-36 |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation requires an effective u... [more] |
CQ2022-36 pp.67-72 |
RCS, SR, SRW (Joint) |
2022-03-04 09:55 |
Online |
Online |
Low-overhead Beam and Power Allocation Using Deep Learning for mmWave Networks Yuwen Cao, Tomoaki Ohtsuki (Keio Univ.) RCS2021-284 |
In this report, we develop a novel deep learning (DL)-based hybrid beam and power allocation approach for multiuser mill... [more] |
RCS2021-284 pp.159-163 |
AP, RCS (Joint) |
2021-11-10 16:45 |
Nagasaki |
NBC-Bekkan (Nagasaki) (Primary: On-site, Secondary: Online) |
QoS-aware Low-complexity User Pairing Based on Compressed Sensing in Downlink NOMA(2) Tomofumi Makita, Osamu Muta (Kyushu Univ.) RCS2021-155 |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation requires an effective u... [more] |
RCS2021-155 pp.63-68 |
MIKA (3rd) |
2021-10-29 10:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Compressed Sensing Based Power Allocation and User Selection Scheme for Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation require an effective us... [more] |
|
CQ, MIKA (Joint) |
2021-09-09 09:45 |
Online |
Online |
Compressed Sensing Based Power Allocation and User Selection Scheme Considering Channel State in Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) CQ2021-37 |
In this paper, we propose a quality-of-service (QoS)-aware low complexity compressed sensing (CS)-based user selection a... [more] |
CQ2021-37 pp.1-5 |
CS |
2021-07-16 10:45 |
Online |
Online |
Compressed Sensing-Based User Selection Scheme with Dynamic Resource Allocation for Downlink NOMA Systemsystems Tomofumi Makita, Osamu Muta (Kyushu Univ.) CS2021-35 |
In this paper, we propose a quality-of-service (QoS)-aware low complexity compressed sensing (CS)-based user selection ... [more] |
CS2021-35 pp.82-83 |
RCS |
2021-06-25 09:20 |
Online |
Online |
QoS-aware Low-complexity User Pairing Based on Compressed Sensing in Downlink NOMA Tomofumi Makita, Osamu Muta (Kyushu Univ.) RCS2021-63 |
Downlink non-orthogonal multiple access (NOMA) systems with successive interference cancellation requires an effective u... [more] |
RCS2021-63 pp.196-201 |
NLP, NC (Joint) |
2020-01-25 14:30 |
Okinawa |
Miyakojima Marine Terminal |
Expert User-Item Modeling Each Topics Based on Tensor SOM and Latent Dirichlet Allocation Tatsuya Kanatsu, Tetsuo Furukawa, Kaori Yoshida (Kyutech) NC2019-74 |
User-item modeling is the foundation of recommendation systems. In this paper, we propose a method of building a set of ... [more] |
NC2019-74 pp.83-88 |
SRW, SeMI, CNR (Joint) |
2019-11-06 13:25 |
Tokyo |
Kozo Keisaku Engineering Inc. |
[Poster Presentation]
A Study on Uplink User Allocation Using Simultaneously SCMA and OFDMA Naoya Gonda, Shinichi Ozaku, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) SRW2019-37 SeMI2019-81 CNR2019-31 |
(To be available after the conference date) [more] |
SRW2019-37 SeMI2019-81 CNR2019-31 pp.59-60(SRW), pp.79-80(SeMI), pp.57-58(CNR) |
RCS, SR, SRW (Joint) |
2019-03-06 09:25 |
Kanagawa |
YRP |
A Study on Radio Resource Allocation Method Considering User Request for NOMA with OMA Hiroaki Suenaga, Hirofumi Suganuma, Fumiaki Maehara (Waseda Univ.) RCS2018-283 |
(To be available after the conference date) [more] |
RCS2018-283 pp.7-11 |
CQ, CS (Joint) |
2018-04-20 11:10 |
Hiroshima |
Hiroshima Institute of Technology |
Impact of Selfish User Behavior and Information Sharing on Distributed Route Selection in a Road Network Takanori Hara, Masahiro Sasabe, Shoji Kasahara (NAIST) CQ2018-11 |
It has been known that a traffic congestion problem can be modeled as a resource allocation problem in game theory by re... [more] |
CQ2018-11 pp.59-64 |
RCS, SR, SRW (Joint) |
2018-03-01 10:30 |
Kanagawa |
YRP |
Dynamic Power Allocation in Parallel Interference Cancellation based NOMA Receiver Bikash Dawadi, Mohamad Erick Ernawan, Zhenni PAN, Liu Jiang, Shigeru Shimamoto (Waseda Univ.) RCS2017-364 |
Non-orthogonal multiple access (NOMA) has been recognized as a promising multiple access candidate for a 5G network. In ... [more] |
RCS2017-364 pp.253-258 |
CQ (2nd) |
2018-01-20 13:35 |
Tokyo |
Nishiwaseda Campus, Waseda Univ. |
[Poster Presentation]
Impact of Selfish User Behavior and Communication Environment on Distributed Route Selection in a Road Network Takanori Hara, Masahiro Sasabe, Shoji Kasahara (NAIST) |
It has been known that a traffic congestion problem can be modeled as a resource allocation problem in game theory by re... [more] |
|
SC |
2017-11-02 13:25 |
Kyoto |
Kyoto University (Design Innovation Center) |
A Study of Optimizing Heterogeneous Resources for Open IoT Yoji Yamato, Naoto Hoshikawa, Hirofumi Noguchi, Tatsuya Demizu, Misao Kataoka (NTT) SC2017-26 |
Recently, IoT technologies have been progressed, and many sensors and actuators are connected to networks. Previously, I... [more] |
SC2017-26 pp.19-24 |
RCS |
2016-10-20 11:35 |
Kanagawa |
YRP (Yokosuka) |
Towards joint user association and self-organizing resource allocation in HetNets Atefeh Hajijamali Arani (IUT), Abolfazl Mehbodniya (Tohoku Univ.), Mohammad Javad Omidi (IUT), Fumiyuki Adachi (Tohoku Univ.) RCS2016-158 |
Dynamic resource management is identified as a main issue in heterogeneous networks (HetNets). In this paper, we investi... [more] |
RCS2016-158 pp.31-34 |
RCS |
2016-10-21 14:30 |
Kanagawa |
YRP (Yokosuka) |
[Invited Lecture]
Investigations on User Association Method for 5G Cellular Systems Kenichi Higuchi (Tokyo Univ. of Science), Yasuaki Yuda (Panasonic) RCS2016-187 |
This paper presents our previously reported user association method to maximize the downlink system throughput in a cell... [more] |
RCS2016-187 pp.191-196 |
RCS |
2016-06-24 09:40 |
Okinawa |
Univ. of the Ryukyus |
A Study on Improvement in Convergence Rate of Adaptive Rate of Adaptive User Association Method for System Throughput Maximization Sho Fukuhara, Kenichi Higuchi (Tokyo Univ. of Science) RCS2016-79 |
This paper enhances our previously reported user association method to maximize the downlink system throughput in a cell... [more] |
RCS2016-79 pp.191-196 |