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.
Topics: Base station, Mobile station, Transmission (telecommunications), Base station identity code, Terminal (electronics)
Papers published on a yearly basis
Papers
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28 Feb 2003TL;DR: In this paper, a mail transmitting server comprises a notification method table, a data receiver, and a method selector, which stores types of computer viruses and notification methods for the result of detection of computer virus in association with each other, based on the type of a computer virus included in the data received by the data receiver.
Abstract: A mail transmitting server 100 comprises a notification method table 102, a data receiver 104, and a notification method selector 107 The notification method table 102 stores types of computer viruses and notification methods for the result of detection of computer viruses in association with each other The data receiver 104 receives data from a cellular phone 20 The notification method selector 107 selects a method of notifying the cellular phone 20 of the virus detection result, based on a type of a computer virus included in the data received by the data receiver 104
202 citations
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TL;DR: LTE-Advanced extends the capabilities originally developed in LTE within the 3GPP to cope with the many varieties of cell types and sizes, and intercell interference control is enhanced to handle these heterogeneous networks.
Abstract: LTE-Advanced extends the capabilities originally developed in LTE within the 3GPP. Carrier aggregationis the most significant, albeit complex, improvement provided by LTE-Advanced. Bandwidths from various portions of the spectrum are logically concatenated resulting in a virtual block of a much larger band, enabling increased data throughput. Additionally, enhancements to MIMO antenna techniques in the uplink and downlink further increase the data throughput. Cell coverage is improved by means of relay nodes, which connect to donor eNode-Bs. To cope with the many varieties of cell types and sizes (macro, pico, femto), intercell interference control is enhanced to handle these heterogeneous networks. Operators hope to leverage LTE-Advanced to offer their mobile wireless customers a vastly superior user experience.
202 citations
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TL;DR: A channel-ESTimation scheme is introduced that works with the iterative MIMO equalization process to reduce estimation errors and the performance sensitivity of the proposed algorithm to channel-estimation error is discussed.
Abstract: A computationally efficient space-time turbo equalization algorithm is derived for frequency-selective multiple-input-multiple-output (MIMO) channels. The algorithm is an extension of the iterative equalization algorithm by Reynolds and Wang (see Signal Processing, vol.81, no.5, p.989-995, 2001) for frequency-selective fading channels and of iterative multiuser detection for code-division multiple-access (CDMA) systems by Wang and Poor (see IEEE Trans. Commun., vol.47, p.1046-1061, 1999). The proposed algorithm is implemented as a MIMO detector consisting of a soft-input-soft-output (SISO) linear MMSE detector followed by SISO channel decoders for the multiple users. The detector first forms a soft replica of each composite interfering signal using the log likelihood ratio (LLR), fed back from the SISO channel decoders, of the transmitted coded symbols and subtracts it from the received signal vector. Linear adaptive filtering then takes place to suppress the interference residuals: filter taps are adjusted based on the minimum mean square error (MMSE) criterion. The LLR is then calculated for adaptive filter output. This process is repeated in an iterative fashion to enhance signal-detection performance. This paper also discusses the performance sensitivity of the proposed algorithm to channel-estimation error. A channel-estimation scheme is introduced that works with the iterative MIMO equalization process to reduce estimation errors.
201 citations
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02 Jun 2013
TL;DR: The main objective of METIS is to lay the foundation for this future global mobile and wireless communications system, and to generate a global consensus here.
Abstract: In 2020, mobile and wireless traffic volume is expected to increase thousand-fold over 2010 figures. Moreover, an increase in the number of wirelessly-connected devices to counts in the tens of billions will have a profound impact on society. Massive machine communication, forming the basis for the Internet of Things, will make our everyday life more efficient, comfortable and safer, through a wide range of applications including traffic safety and medical services. The variety of applications and data traffic types will be significantly larger than today, and will result in more diverse requirements on services, devices and networks. METIS is set up by leading global players to prepare the migration towards tomorrow's multi-purpose global communication infrastructure, serving humans and things. The main objective of METIS is to lay the foundation for this future global mobile and wireless communications system, and to generate a global consensus here. In particular, METIS will provide new solutions which fit the needs beyond 2020.
201 citations
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01 Sep 2013TL;DR: Simulation results show that the proposed non-orthogonal access scheme with random beamforming and the intra-beam SIC simultaneously achieves better sum and cell-edge user throughput compared to orthogonalAccess, which is assumed in LTE-Advanced.
Abstract: We investigate non-orthogonal access with a successive interference canceller (SIC) in the cellular multiple-input multiple-output (MIMO) downlink for systems beyond LTE-Advanced. Taking into account the overhead for the downlink reference signaling for channel estimation at the user terminal in the case of non-orthogonal multiuser multiplexing and the applicability of the SIC receiver in the MIMO downlink, we propose intra-beam superposition coding of a multiuser signal at the transmitter and the spatial filtering of inter-beam interference followed by the intra-beam SIC at the user terminal receiver. The intra-beam SIC cancels out the inter-user interference within a beam. Furthermore, the transmitter beamforming (precoding) matrix is controlled based on open loop-type random beamforming, which is very efficient in terms of the amount of feedback information from the user terminal. Simulation results show that the proposed non-orthogonal access scheme with random beamforming and the intra-beam SIC simultaneously achieves better sum and cell-edge user throughput compared to orthogonal access, which is assumed in LTE-Advanced.
200 citations
Authors
Showing all 4032 results
Name | H-index | Papers | Citations |
---|---|---|---|
Amit P. Sheth | 101 | 753 | 42655 |
Harald Haas | 85 | 750 | 34927 |
Giuseppe Caire | 82 | 825 | 40344 |
Craig Gentry | 75 | 222 | 39327 |
Raj Jain | 64 | 424 | 30018 |
Karl Aberer | 63 | 554 | 17392 |
Fumiyuki Adachi | 54 | 1010 | 15344 |
Ismail Guvenc | 52 | 451 | 13893 |
Frank Piessens | 52 | 391 | 10381 |
Wolfgang Kellerer | 49 | 502 | 9383 |
Yoshihisa Kishiyama | 48 | 379 | 11831 |
Ravi Jain | 48 | 160 | 7467 |
Josef A. Nossek | 48 | 623 | 10377 |
Tadao Nagatsuma | 47 | 430 | 11117 |
Christian Bettstetter | 46 | 204 | 11051 |