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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 131 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, CCS, SR, SRW
(Joint)
2016-03-04
14:30
Tokyo Tokyo Institute of Technology Channel Prediction Using 2-Step Compressed Sensing in a Time-Varying Multi-User MIMO Environment
Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2015-394
In multi-user MIMO systems, a base station needs downlink channel state information to each user to suppress interferenc... [more] RCS2015-394
pp.357-362
NS, RCS
(Joint)
2015-12-18
10:35
Ehime Matsuyama Community Center A Study on Throughput Performance using Sounding Protocol for Multi-User MIMO in IEEE 802.11ax
Toshihisa Nabetani, Hiroki Mori, Tsuguhide Aoki (Toshiba) RCS2015-263
In a next generation WLAN standard IEEE 802.11ax, an efficient sounding protocol compared with 802.11ac sounding protoco... [more] RCS2015-263
pp.115-120
AP, RCS, WPT, SAT
(Joint)
2015-11-06
14:35
Okinawa Okinawa Prefectural Museum & Art Museum Channel Prediction Using Compressed Sensing in a Multi-User MIMO Environment with Moving Scatterers
Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2015-240
In multi-user MIMO systems, a base station needs downlink channel state information (CSI) to each user to suppress inter... [more] RCS2015-240
pp.299-304
CQ
(2nd)
2015-10-30
13:20
Osaka   [Poster Presentation] A study on simplified adaptive modulation scheme in multi-user MIMO in block diagonalization
Ryotaro Taniguchi, Kentaro Nishimori, Hayate Kimoto, Hideo Makino (Niigata Univ.)
Multi-user MIMO (MU-MIMO), which realizes the communication with multiple user equipments (UEs) by having a large number... [more]
RCS 2015-10-02
13:35
Kanagawa YRP (Yokosuka) [Invited Lecture] User Collaborated MIMO Transmission Techniques Exploiting Higher-Frequency Bands
Hidekazu Murata (Kyoto Univ.) RCS2015-183
Multi-user multiple-input multiple-output (MU-MIMO) systems with precoding have been studied intensively. However, those... [more] RCS2015-183
p.139
RCS 2015-04-17
10:20
Oita Yufuin, Yufugoukan Performance Impact of Number of Collaboration Terminals on Collaborative Interference Cancellation
Yuji Hayashi, Hidekazu Murata (Kyoto Univ.) RCS2015-13
Multi-user multiple-input multiple-output (MU-MIMO) systems with precoding have been studied intensively. In this system... [more] RCS2015-13
pp.65-70
ITS, IEE-ITS 2015-03-09
13:00
Kyoto Kyoto Univ. Performance Impact of Wireless LAN Transmission on Mobile Terminal Collaboration in a Vehicle
Hidekazu Murata (Kyoto Univ.) ITS2014-63
Multi-user multiple-input multiple-output (MU-MIMO) systems with precoding have been studied intensively. However, those... [more] ITS2014-63
pp.29-32
RCS, SR, SRW
(Joint)
2015-03-06
15:00
Tokyo Tokyo Institute of Technology Field Measurements and Performance Improvement of Collaborative Interference Cancellation
Toshiki Tanaka, Hidekazu Murata (Kyoto Univ.) RCS2014-363
In this paper, collaborative interference cancellation (CIC), which is a form of multi-user MIMO systems, is studied.
... [more]
RCS2014-363
pp.369-374
RCS, SR, SRW
(Joint)
2015-03-06
16:15
Tokyo Tokyo Institute of Technology Experimental Performance Evaluation of Iterative Frequency-Domain Equalization on Collaborative MIMO Systems
Hiroki Nagano, Hidekazu Murata (Kyoto Univ.) RCS2014-366
Collaborative interference cancellation (CIC), which is one technique for the multi user MIMO systems, has been proposed... [more] RCS2014-366
pp.387-391
MICT, ASN, MoNA
(Joint)
2015-01-27
13:30
Wakayama Nanki Shirahama Cooperative Mobile Stations-enabled Massive MIMO Transmission
Yuji Hayashi, Hidekazu Murata (Kyoto Univ.) ASN2014-142
Multi-user multiple-input multiple-output (MU-MIMO) systems with precoding are studied. However, those systems have feed... [more] ASN2014-142
pp.175-179
SIP, RCS 2015-01-22
13:45
Okayama Okayama Univ. Considerations on a Channel Prediction Scheme Using Compressed Sensing in Multi-User MIMO Systems
Shunsuke Uehashi, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) SIP2014-90 RCS2014-278
In multi-user MIMO systems, a base station needs downlink channel state information (CSI) to each user to suppress inter... [more] SIP2014-90 RCS2014-278
pp.55-60
AP
(2nd)
2015-01-08
13:15
Overseas PTIT, Ho Chi Minh City, Vietnam [Invited Talk] Collaborative Interference Cancellation for Future Wireless Communications
Hidekazu Murata (Kyoto Univ.)
In this paper, a new receiver concept for future wireless communications is introduced.
Multi-user multiple-input multi... [more]

RCS, NS
(Joint)
2014-12-19
14:20
Mie Iseshi-Kanko-Bunka-Kaikan (Mie) Field Experimental Evaluations of Linear and Non-linear Signal Processing Schemes for Collaborative Interference Cancellation
Yuji Hayashi, Hidekazu Murata (Kyoto Univ.) RCS2014-261
Multi-user multiple-input multiple-output (MU-MIMO) systems with precoding are studied. However, those systems have feed... [more] RCS2014-261
pp.243-248
RCS, NS
(Joint)
2014-12-19
14:45
Mie Iseshi-Kanko-Bunka-Kaikan (Mie) Driving Experiments of Collaborative Interference Cancellation System with Adaptive Signal Selection for Reducing Collaboration Cost
Yuma Fujimoto, Ryo Shinohara, Hidekazu Murata (Kyoto Univ.) RCS2014-262
Multi-user multiple-input multiple-output (MU-MIMO) transmission has been investigated to improve the spectrum efficienc... [more] RCS2014-262
pp.249-252
RCS 2014-10-16
09:50
Kanagawa Keio Univ. Tomlinson-Harashima Precoding with Cholesky Decomposition for Multi-user MIMO
Tatsuya Itakura, Satoshi Denno (Okayama Univ.) RCS2014-157
Multi-user Multiple Input Multiple Output (MIMO) is regarded as one of key techniques to increase
system throughput in ... [more]
RCS2014-157
pp.7-11
RCS 2014-10-16
10:10
Kanagawa Keio Univ. Study of Channel Prediction for Multi-user MIMO Precoding System
Toshiki Tanaka, Hidekazu Murata (Kyoto Univ.) RCS2014-158
Multi-user multiple-input multiple-output (MU-MIMO) technique is one of the most important contributions to improve the ... [more] RCS2014-158
pp.13-18
RCC, ASN, NS, RCS, SR
(Joint)
2014-07-31
10:50
Kyoto Kyoto Terrsa [Poster Presentation] Experimental Study of Linear and Non-linear Signal Processing Schemes for Collaborative Interference Cancellation
Yuji Hayashi, Hidekazu Murata (Kyoto Univ.) RCC2014-32 NS2014-52 RCS2014-104 SR2014-33 ASN2014-51
Multiple-input multiple-output (MIMO) transmission have been proposed as an effective scheme to improve the spectral eff... [more] RCC2014-32 NS2014-52 RCS2014-104 SR2014-33 ASN2014-51
pp.55-58(RCC), pp.33-36(NS), pp.87-90(RCS), pp.75-78(SR), pp.63-66(ASN)
RCS 2014-06-17
10:29
Okinawa Okinawa-ken Seinenkaikan (Naha) Study of Channel Prediction for Multi-user MIMO Precoding System
Toshiki Tanaka, Hidekazu Murata (Kyoto Univ.) RCS2014-42
Multi-user multiple-input multiple-output (MU-MIMO) systems are able to increase the capacity of wireless systems as lon... [more] RCS2014-42
pp.61-64
RCS, SR, SRW
(Joint)
2014-03-05
13:00
Tokyo Waseda Univ. Design Algorithm of Relative Magnitude Coefficients using Brent's Method on the K-User MIMO-IFC
Kunitaka Matsumura, Tomoaki Ohtsuki (Keio Univ.) RCS2013-381
Interference alignment (IA) is known as having a great effect on the capacity achieved at each receiver in interference ... [more] RCS2013-381
pp.451-456
RCS, SR, SRW
(Joint)
2014-03-05
15:50
Tokyo Waseda Univ. Spatial Precoding Techniques for Multi-User MIMO Systems with Collaborative Interference Cancellation
Masato Taniguchi, Hidekazu Murata (Kyoto Univ.), Satoshi Suyama, Yukihiko Okumura (NTT DOCOMO) RCS2013-389
The downlink of multi-user MIMO (MU-MIMO) systems with collaborative interference cancellation (CIC) is considered. In t... [more] RCS2013-389
pp.499-504
 Results 41 - 60 of 131 [Previous]  /  [Next]  
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