Marvellworld Trade Ltd.

Marvell International Limited

Intel Corporation

Marvell Israel (misl) Ltd.

D.s.p.c. Technologies Ltd.

Yona Perets

Daniel Yellin

Ezer Melzer

Kobby Pick

Ronen Mayrench

Itsik Bergel

Nadav Shulman

Guy Wolf

Adoram Erell

Ilan Sutskover

Shimon Moshavi

Sharon Levy

Shlomo Shamai

Doron Rainish

David Ben-Eli

Krishna Srikanth Gomadam

Shay Gershoni

Yakir Ovadia

Paul Samuel Spencer

Amir Winstok

Roy Ron

Tomer Goshen

Javier Frydman

Rohen Mayrench

A method includes identifying interference mitigation capabilities of a first communication unit in a first cell of a cellular communication network. Transmissions of a second communication unit in a second cell of the cellular communication network are scheduled based on the identified interference mitigation capabilities of the first communication unit in the first cell.

Optimized cellular transmission scheduling based on knowledge of interference-mitigation capabilities in neighbor cell

A method for communication includes, in a transmitter, generating a signal for transmission to a receiver over a frequency sub-band assigned within a predefined system bandwidth, using a selected transmitter carrier frequency. The signal is converted into a phase-compensated signal by applying to the signal, using a phase compensator in the transmitter, a phase compensation that compensates for phase discontinuities caused to the signal due to a frequency difference between the transmitter carrier frequency and a center frequency, which is used by the receiver for down-converting the predefined system bandwidth. The phase compensation depends on the frequency difference. The phase-compensated signal is transmitted to the receiver over the frequency sub-band, using a transmitter front-end module.

Phase continuity in narrow-band transmission within a frequency-domain multiple-access communication system

A method in a receiver includes receiving from a transmitter a signal including at least first and second frames that carry same data. First and second data symbols are identified in the respective first and second frames, wherein the first symbol has a same data value as the second data symbol. A frequency offset between the transmitter and the receiver is estimated based at least on the identified first and second data symbols. A frequency of the receiver is adjusted based on the estimated frequency offset.

Receiver with data-aided automatic frequency control

A user equipment device operating in a cellular communications system includes a neighbor cell searcher configured to receive a first reference signal transmitted from a base station of a first cell of the cellular communications system and determine first channel information associated with the first cell, and receive a second reference signal transmitted from a base station of a second cell of the cellular communications system and determine second channel information associated with the second cell. A channel estimator is configured to generate correlations between times and frequencies associated with reception of the first reference signal and the second reference signal, and generate a channel estimate corresponding to the first reference signal based on the first channel information, the second channel information, and the correlations.

Channel estimation with co-channel pilots suppression

A method includes, in a mobile communication terminal, receiving signals from a base station in a sequence of time frames. Based on the received signals, a classification of the time frames into first and second types is determined in the terminal, such that a level of interference in the time frames of the first type is lower than the level of interference in the time frames of the second type. The received signals are decoded based on the time frames and the corresponding classification.

Signal decoding in the presence of almost-blank subframes (ABS)

A method includes, in a receiver, computing soft decoding metrics for decoding a received signal. The soft decoding metrics are stored in compressed form in a memory buffer. The soft decoding metrics in the compressed form are retrieved from the memory buffer, the retrieved soft decoding metrics are decompressed, and the received signal is decoded using the decompressed soft decoding metrics.

Enhanced buffering of soft decoding metrics

A method includes receiving reference signals in a mobile communication terminal, the mobile communication terminal being designed to receive data-carrying signals that are transmitted from a base station using one of multiple predefined Modulation and Coding Schemes (MCSs). Based on the received reference signals, using processing circuitry in the terminal, effective Signal to Noise Ratios (SNRs) are calculated for the MCSs in a predefined partial subset of the MCSs that does not include all MCSs. The effective SNRs, for the MCSs that are not part of the predefined partial subset, are estimated by interpolating among two or more calculated effective SNR measures of the MCSs in the predefined partial subset using an interpolation function. Channel feedback is calculated based on the calculated effective SNRs and the estimated effective SNRs. The channel feedback is transmitted from the terminal, for use in transmitting the data carrying signals from the base station.

Estimation of channel state information (CSI) feedback using interpolation

A method includes, in a receiver, receiving a Multiple-Input Multiple-Output (MIMO) signal over a first plurality of partially-dependent communication channels that have a finite mutual dependence. Second channel responses are estimated in the receiver, for a second plurality of independent communication channels, which are derived from the partially-dependent communication channels and which have no mutual dependence. First channel responses are calculated for the first plurality of the partially-dependent communication channels, based on the second channel responses of the independent communication channels.

Estimation of correlated MIMO channels

A method includes, in a mobile communication terminal, receiving a signal including multiple instances of a synchronization signal transmitted in multiple respective time periods, wherein each instance is precoded with a respective precoding scheme that is selected from a set of precoding schemes in accordance with a precoding alternation pattern. A subset of the instances of the synchronization signal is selected, in accordance with an instance selection pattern that ensures that at least one of the instances of the synchronization signal is received in the terminal with at least a predefined quality. Only the instances belonging to the selected subset are decoded.

Enhanced reception of precoding vector switching (PVS)

A method includes holding in a memory of a communication terminal multiple predefined vectors, each including signal autocorrelation values computed for a respective Doppler shift. A signal is received, and empirical autocorrelation values are calculated for the received signal. An actual Doppler shift of the received signal is estimated by selecting, from among the predefined vectors, a vector whose autocorrelation values best match the empirical autocorrelation values of the received signal.

Estimating doppler shift using predefined autocorrelation vectors

A method includes receiving in a communication terminal a signal, which is transmitted in multiple links and which includes a control channel transmitted in an assigned sequence of the links. One or more candidate sequences of the links, which are likely to be the assigned sequence, are identified. For at least, one candidate sequence, a verification is made whether the candidate sequence is the assigned sequence, by re-encoding decoded bits of the candidate sequence to produce regenerated symbols and comparing the regenerated symbols to respective received symbols from which the decoded bits were decoded. The control channel is decoded from the candidate sequence in response to verifying that the candidate sequence is the assigned sequence.

Mitigation of false PDCCH detection

A method includes receiving signals transmitted over a communication channel in multiple blocks transmitted in respective frequency bins during respective time intervals. An estimate of the communication channel, for a given block transmitted during a respective time interval, is computed by (i) computing respective interim filtering results for the blocks transmitted in the respective time interval in the respective frequency bins belonging to the predefined subset, by filtering a first group of the reference signals that are transmitted in odd-order frequency bins and in a first set of symbols, so as to produce odd-order interim filtering results, and filtering a second group of the reference signals that are transmitted in even-order frequency bins and in a second set of symbols that does not overlap the first set, so as to produce even-order interim filtering results; and (ii) combining the odd-order interim filtering results and the even-order interim filtering results.

Channel estimation using cascaded one-dimensional filtering in odd-order and even-order frequency bins

A method includes receiving a signal in a communication terminal. A power spectral density, which the signal would have under full-load conditions of a transmitter transmitting the signal, is estimated based on the received signal. An operation is performed in the communication terminal using the estimated power spectral density.

Spectrum estimation for low-load LTE signals

Briefly, a method and apparatus to calculate cross-correlation values of complex binary sequences are provided. The apparatus may include a transformation unit and a cross-correlator. The cross-correlator may include a cross-correlation controller to provide, based on a type bit and a sign bit, a real component and/or an imaginary component of signals of complex binary sequences to a real accumulator and/or to an imaginary accumulator.

Method and apparatus of cross-correlation

A method includes, in a mobile communication terminal, receiving signals in a frequency band. One or more lists of entries are generated based on the received signals, each entry specifying a respective frequency channel suspected of containing a carrier of a respective Radio Access Technology (RAT). At least some of the entries are scanned in accordance with a scanning order that alternates from a first RAT to a second RAT before scanning all the entries of the first RAT. For each scanned entry, detection is made whether the respective frequency channel actually contains the carrier of the respective RAT. The detection of the carriers in the frequency band is output.

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Raanana, Israel

Yona Perets