Abstract: A method for timing synchronization of an OFDM signal is useful for a sniffing base station (BS) to establish BS synchronization with another BS in a mobile communication system. The method comprises estimating a timing offset of the signal from a reference sampling instant. In estimating the timing offset, first determine a maximum detection range of an estimable timing offset estimated solely by an observed phase difference between two pre-selected pilot symbols in the signal. Then the timing offset is determined as an integer multiple of the maximum detection range plus a residual timing offset. The multiplying integer is determined from a set of candidate integers. According to a candidate integer under consideration, a portion of an OFDM-signal sample sequence is masked out and a resultant signal to interference plus noise ratio (SINR) is computed. The multiplying integer is determined by identifying the candidate integer having the greatest SINR.

Abstract: The presently claimed invention relates generally to a method and an apparatus for pilot decontamination for massive MIMO system and, more particularly, to a massive MIMO communication system based on channel estimation with topological interference alignment.

Abstract: This invention is concerned with estimating a massive multi-input multi-output (MIMO) channel. In one embodiment, the transmit antennas are first partitioned into antenna groups each comprising a subset of the transmit antennas such that a pre-determined level of channel-estimation accuracy is attainable. For each antenna group, training signals for estimating a group of channels associated with the antenna group are determined. In particular, the number of the antenna groups, the subset of the transmit antennas for forming the antenna group, and the training signals for the antenna group are determined based on spatial correlations of the massive MINO channel, a maximum allowable total number of training signals and a transmit signal-to-noise ratio such that the pre-determined level of channel-estimation accuracy is achievable. Advantageously, the number of antenna groups is determined by identifying a highest number of antenna groups under a constraint that the pre-determined level is achievable.

Abstract: This invention is concerned with estimating a massive multi-input multi-output (MIMO) channel. In one embodiment, the transmit antennas are first partitioned into antenna groups each comprising a subset of the transmit antennas such that a pre-determined level of channel-estimation accuracy is attainable. For each antenna group, training signals for estimating a group of channels associated with the antenna group are determined. In particular, the number of the antenna groups, the subset of the transmit antennas for forming the antenna group, and the training signals for the antenna group are determined based on spatial correlations of the massive MIMO channel, a maximum allowable total number of training signals and a transmit signal-to-noise ratio such that the pre-determined level of channel-estimation accuracy is achievable. Advantageously, the number of antenna groups is determined by identifying a highest number of antenna groups under a constraint that the pre-determined level is achievable.

Abstract: A method for performing high speed mode detection of a carrier frequency offset (CFO) includes receiving a Zadoff-Chu signal at a wireless device, and determining a plurality of correlation peaks based on a correlation of the signal with one or more known Zadoff-Chu sequences. The method includes determining a carrier frequency offset (CFO) associated with the signal based on a phases associated with the plurality of correlation peaks and a coarse CFO estimate. The coarse CFO estimate may be determined based on a squared power ratio of particular pairs of the plurality of correlation peaks and the phases may be used to remove ambiguity associated with the coarse CFO estimate.

Abstract: A method for performing high speed mode detection of a carrier frequency offset (CFO) includes receiving a Zadoff-Chu signal at a wireless device, and determining a plurality of correlation peaks based on a correlation of the signal with one or more known Zadoff-Chu sequences. The method includes determining a carrier frequency offset (CFO) associated with the signal based on a phases associated with the plurality of correlation peaks and a coarse CFO estimate. The coarse CFO estimate may be determined based on a squared power ratio of particular pairs of the plurality of correlation peaks and the phases may be used to remove ambiguity associated with the coarse CFO estimate.

Abstract: The presently claimed invention provides a method of channel estimation in a multi-user massive Multiple-Input Multiple-Output system. Candidate pilots are selected for each user equipment based on their spatial correlation matrices. Through determining the similarity of spatial correlation matrices among different user equipments, shared pilots among them can be found, and a base station can transmit a union set of pilots for channel estimation. The present invention is able to provide high channel estimation accuracy and reduce training signal resource.

Abstract: A methods for performing a cell search in multiple antenna wireless systems using a plurality of spatial filters is disclosed, and includes applying a plurality of spatial filters to a plurality of received signal streams to generate a plurality of filtered signal streams. The plurality of received signal streams correspond to signals received at a plurality of receive antennas from a plurality of signal sources (e.g., neighboring cells). In an aspect, the plurality of spatial filters may be predefined spatial filters and may be weighted using a set of predefined filter weights. In an additional or alternative aspect, the plurality of spatial filters may be adaptive spatial filters and may be weighted using a set of dynamically determined filter weights. The method includes detecting physical network identities based on the plurality of filtered signal streams.

Abstract: A methods for performing a cell search in multiple antenna wireless systems using a plurality of spatial filters is disclosed, and includes applying a plurality of spatial filters to a plurality of received signal streams to generate a plurality of filtered signal streams. The plurality of received signal streams correspond to signals received at a plurality of receive antennas from a plurality of signal sources (e.g., neighboring cells). In an aspect, the plurality of spatial filters may be predefined spatial filters and may be weighted using a set of predefined filter weights. In an additional or alternative aspect, the plurality of spatial filters may be adaptive spatial filters and may be weighted using a set of dynamically determined filter weights. The method includes detecting physical network identities based on the plurality of filtered signal streams.

Abstract: The present embodiments are directed to systems and methods for detecting random access channel requests, while excluding false random access signals using search windowing and distance-based peak suppression techniques. The present embodiments additionally include further techniques for suppression of fake random access signals, including amplitude thresholds and preamble-based signal exclusion. Beneficially, the present embodiments significantly reduce the false alarm rate, while maintaining a low hardware complexity requirements. In some embodiments, worst-case false alarm rates can be reduced from as much as 20% down to nearly 0.1%.

Abstract: The present embodiments are directed to systems and methods for detecting random access channel requests, while excluding false random access signals using search windowing and distance-based peak suppression techniques. The present embodiments additionally include further techniques for suppression of fake random access signals, including amplitude thresholds and preamble-based signal exclusion. Beneficially, the present embodiments significantly reduce the false alarm rate, while maintaining a low hardware complexity requirements. In some embodiments, worst-case false alarm rates can be reduced from as much as 20% down to nearly 0.1%.