Ntt Docomo, Inc.

Siemens Aktiengesellschaft

Eads Deutschland Gmbh

Mbda Deutschland Gmbh

Wolfgang Utschick

Guido Dietl

Josef A Nossek

Gerhard Bauch

Andreas Dotzler

Christian Guthy

Daniel Kotzor

David Neumann

Samer Bazzi

Maximilian Riemensberger

Pedro Tejera

Michael Joham

Ralf Leberer

Lorenz Weiland

Wolfgang Schwab

Pedro Tejero

A method for localizing an object moving in an unknown environment. The method includes providing k position marks at undetermined positions p, p, . . . , pthat are spaced apart from one another, where {p, . . . , p}&#x3b5;, where k is a natural number greater than or equal to 3, and repeatedly measuring the distances between the object and each of the position marks independently of one another at uncontrolled instants, such that distance values {r, . . . , r}&#x3b5;are present at instants {t, . . . , t}&#x3b5;. The method further includes determining a motion curve x(t)&#x3b5;according to where n represents a number of distance measurements used and each function k(t, t) is a positively defined kernel function, and where {&#x3b1;, . . . , &#x3b1;}&#x3b5;are coefficient vectors that are estimated using smoothness conditions based on a regularization term formed with the kernel functions.

Method and device for localizing objects

A method for reducing interference at a terminal of a wireless cellular network is described. The terminal experiences interference from a plurality of interfering nodes in the wireless cellular network. The method includes selecting the precoders of the interfering nodes such that the sum of distances between the interference projector matrices for the terminal is minimized.

Method for reducing interference at a terminal of a wireless cellular network, wireless cellular network, node and central node of a wireless network

An apparatus for scheduling transmission resources to users served by a base station equipped with a plurality of antennas includes a predictor for predicting rate regions for one or more future time slots based on rate regions for one or more past time slots to obtain one or more predicted rate regions, and a processor for calculating the transmission resources for the users for a current time slot using scheduled transmission resources for the one or more past time slots, a rate region for the current time slot and the one or more predicted rate regions.

Apparatus and method for scheduling transmission resources to users served by a base station using a prediction of rate regions

A transmission filter calculator for calculating at least a transmit filter for communication from a multi-antenna transmit communication device to a multi-antenna receive communication device via a multiple-input-multiple-output (MIMO) channel iteratively determines transmit filters for multiple data streams. The transmission filter calculator chooses a transmit filter in a given iteration such that the transmit filter is orthogonal to one or more transmit filters chosen in one or more previous iterations, and such that a weighted or unweighted transmission rate obtainable using the transmit filter chosen in the given iteration is maximized, and chooses the transmit filter in dependence on a matrix product term which is based on a channel matrix describing MIMO channel characteristics between the transmit communication device and a currently considered one of the receive communication devices and on a distortion covariance matrix describing a noise, an inter-cell interference and an upper limit of an intra-cell interference.

Transmission filter calculator, communication device and methods

An apparatus for allocating resources to nodes in a communication system comprises an iteration controller () for performing an iterative processing, the iteration controller being configured for using () iteration resource weights to obtain a resources allocation result for an iteration step, and for updating () the iteration resource weights to obtain updated iteration resource weights for a further iteration step using a weighted combination of the resources allocation results for the iteration step and for at least one earlier iteration step.

Apparatus and method for allocating resources to nodes in a communication system using an update of iteration resource weights

An apparatus for calculating receive parameters for an MIMO system including a plurality of individual transmission sections, a transmission section having a transmit circuit adjustable by a transmit parameter, and a plurality of individual users, a user having a receive circuit being adjustable by a receive parameter, includes a calculator for calculating a receive parameter for a first selected data stream for a first user of the plurality of users using a channel information for a transmission channel between the user and a first individual transmit section, to which the user is associated, and for calculating a receive parameter for a second selected data stream for a second user of the plurality of users associated with a second different individual transmission section using channel information between the first user and the second transmission section the second user is associated with, or using the calculated receive parameter for the first user.

Apparatus and method for calculating receive parameters for an MIMO system

A spatial sub-channel selection and pre-coding apparatus for being operative in a first communication device, the first communication device being adapted for communicating with a second and a third communication device using MIMO (Multiple-Input-Multiple-Output) radio channels, a first MIMO radio channel extending between the first communication device and the second communication device having at least one spatial sub-channel, a second MIMO radio channel extending between the first communication device and the third communication device having at least one spatial sub-channel, wherein one of the first MIMO radio channel or the second MIMO radio channel has at least two spatial sub-channels.

Spatial sub-channel selection and pre-coding apparatus

Subchannel allocation apparatus for allocating subchannels of a MIMO radio channel to a plurality of users, the MIMO radio channel having a first number of subchannels, each subchannel having a transmission capacity. The subchannel allocation apparatus includes a subspace determiner for determining a subspace of the MIMO radio channel, the subspace having a second number of subchannels, the second number being lower than the first number and each subchannel of the second number of subchannels having a higher transmission capacity than the subchannel with the lowest transmission capacity of the first number of subchannels. The subchannel allocation apparatus further includes a subchannel allocator responsive to the subspace determiner for allocating a subchannel from the second number of subchannels of the subspace to a user based on an allocation metric.

Subchannel allocation apparatus

According to the invention, a base station has an antenna device with a plurality of antenna elements and is connected to a subscriber station via a radio interface. The direction of incidence, the attenuation and the delay times of connection paths used for beam forming for signal sections for channel estimation purposes are determined from the transmissions of the other radio station in a known manner. The beam-forming vector for the transmit signal is constant during these signal sections for channel estimation purposes, for which the radio station can estimate a reception characteristic of the other radio station. Outside the signal sections for channel estimation, a symbol-specific beam-forming vector is determined which takes into account variable symbol-related properties of the transmit signal (for example correlation properties of CDMA codes) which are not constant during a time slot but rather vary from symbol to symbol.

Growing community of inventors

Ingolstadt, Germany

Wolfgang Utschick