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Institution

NTT DoCoMo

About: NTT DoCoMo is a based out in . It is known for research contribution in the topics: Base station & Mobile station. The organization has 4032 authors who have published 8655 publications receiving 160533 citations.


Papers
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Patent
27 Feb 2015
TL;DR: In this article, a radio base station is designed to reduce the interference against predetermined signals in a radio communication system in which FTN is used, and a control section executes control so that signals are time-division-multiplexed over a first radio resource region where symbols are multiplexed at a rate equal to or below a Nyquist rate.
Abstract: The present invention is designed to reduce the interference against predetermined signals in a radio communication system in which FTN is used. A radio base station (10) according to one aspect of the present invention is a radio base station that communicates with a user terminal (20), and has a control section (501) that executes control so that signals are time-division-multiplexed over a first radio resource region where symbols are multiplexed at a rate equal to or below a Nyquist rate and a second radio resource region where symbols are multiplexed at a faster rate than the Nyquist rate, and a transmission section (103) that transmits the signals that are time-division-multiplexed in the first radio resource region and the second radio resource region, to the user terminal.

57 citations

Proceedings ArticleDOI
15 Apr 2008
TL;DR: A method for selection of the reference FT is proposed, which improves the location accuracy compared to a fixed selection of a reference FT, and a covariance- matrix based LLS estimator is proposed in line of sight (LOS) and non-LOS (NLOS) environments which further improves accuracy.
Abstract: Linear least squares (LLS) estimation is a low complexity but sub-optimum method for estimating the location of a mobile terminal (MT) from some distance measurements. It requires selecting one of the fixed terminals (FTs) as a reference FT for obtaining a linear set of expressions. However, selection of the reference FT is commonly performed arbitrarily in the literature. In this paper, a method for selection of the reference FT is proposed, which improves the location accuracy compared to a fixed selection of the reference FT. Moreover, a covariance- matrix based LLS estimator is proposed in line of sight (LOS) and non-LOS (NLOS) environments which further improves accuracy since the correlations between the observations are exploited. Simulation results prove the effectiveness of the proposed techniques.

57 citations

Patent
Shinzo Ohkubo1, Hirohito Suda1
04 Apr 2001
TL;DR: In this article, a multicast transmission system in which the same information is transmitted from a base station to a plurality of mobile stations, the mobile station sends a retransmission request signal to the base station when detecting an error in a received multicast signal.
Abstract: In a multicast transmission system in which the same information is transmitted from a base station to a plurality of mobile stations, the mobile station sends a retransmission request signal to the base station when detecting an error in a received multicast signal. The base station judges whether a received signal indicates a retransmission request according to receiving quality of the received signal, and retransmits a multicast signal corresponding to the retransmission request when the received signal indicates the retransmission request In addition, The base station monitors a receiving state of a multicast signal in the mobile stations, and changes a transmission method to conform to the receiving state according to a result of monitoring, and sends a multicast signal

57 citations

Proceedings ArticleDOI
Hiroyuki Manabe1, Z. Zhang1
01 Dec 2004
TL;DR: An EMG-based speech recognition system that requires only mouth movements, voice need not be generated is proposed and it is found that the delta component of the static parameter leads to higher accuracy.
Abstract: A technique for improving the recognition accuracy of EMG-based speech recognition by applying existing speech recognition technologies is proposed. The authors have proposed an EMG-based speech recognition system that requires only mouth movements, voice need not be generated. A multi-stream HMM (hidden Markov model) and feature extraction technique are applied to EMG-based speech recognition. 3 channel facial EMG signals are collected from ten subjects when uttering 10 Japanese isolated digits. One channel corresponds to one stream. By examining various features, we found that the delta component of the static parameter leads to higher accuracy. Compared to equal stream weighting, the individual optimization of stream weights increased recognition accuracy by 4.0% which corresponds to a 12.8% reduction in error rate. This result shows that multistream HMM is effective for the classification of EMG.

57 citations

Patent
Masafumi Usuda1, Anil Umesh1
29 Mar 2006
TL;DR: In this article, a transmission rate control method for controlling transmission rate of layer-2 control information is proposed, including a correspondence of a transmission data block size of the layer 2 control information to a transmission power ratio between an enhanced dedicated physical data channel and a dedicated physical control channel.
Abstract: A transmission rate control method for controlling transmission rate of layer-2 control information, including: notifying, at a radio network controller, a correspondence of a transmission data block size of the layer-2 control information to a transmission power ratio between an enhanced dedicated physical data channel and a dedicated physical control channel on the layer-2 control information, to a mobile station; determining, at the mobile station, a transmission power ratio of the layer-2 control information to be transmitted based on the correspondence; and transmitting, at the mobile station, the layer-2 control information using the determined transmission power ratio.

57 citations


Authors

Showing all 4032 results

NameH-indexPapersCitations
Amit P. Sheth10175342655
Harald Haas8575034927
Giuseppe Caire8282540344
Craig Gentry7522239327
Raj Jain6442430018
Karl Aberer6355417392
Fumiyuki Adachi54101015344
Ismail Guvenc5245113893
Frank Piessens5239110381
Wolfgang Kellerer495029383
Yoshihisa Kishiyama4837911831
Ravi Jain481607467
Josef A. Nossek4862310377
Tadao Nagatsuma4743011117
Christian Bettstetter4620411051
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202164
2020143
2019240
2018269
2017193
2016173