Abstract: A gesture recognition system executes a gesture recognition method which includes the following steps: receiving a sensing signal; selecting one of the sensing frames from the sensing signal; generating a sensing map by applying 2D FFT to the selected sensing frame; selecting a cell having a largest amplitude in the sensing map; calculating the velocity of the cell and setting the velocity of the selected sensing frame to be the velocity of the cell; labeling the selected sensing frame as a valid sensing frame if the velocity of the selected sensing frame exceeds a threshold value, otherwise labeling the selected sensing frame as an invalid sensing frame; using all of the sensing maps of the valid sensing frames in the sensing signal as the input data for the neural network of the gesture recognition system and accordingly performing gesture recognition and gesture event classification.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and UE are provided. The UE receive a configuration from a base station, the configuration indicating one or more constraints for constructing and transmitting a multiple-access signature. The UE then constructs the multiple-access signature in accordance with the one or more constraints. The UE autonomously transmits the multiple-access signature to the base station in accordance with the one or more constraints.

Abstract: Techniques, schemes and examples pertaining to sequence design for synchronization and device identification in mobile communication systems are described. A processor of an apparatus generates a set of root sequences and also generates a set of signature sequences from the set of root sequences. The processor then transmits a signal comprising one or more of the signature sequences to a receiving device via a wireless channel. Each signature sequence of the set of signature sequences identifies the apparatus.

Abstract: Techniques, schemes and examples pertaining to using even-length sequence for synchronization and device identification in wireless communications are described. A processor of an apparatus can generate a signal containing at least an even-length Zadoff-Chu (ZC) sequence and transmit the signal to a receiving device. The even-length ZC sequence identifies the apparatus, carries information for signaling, or functions in time-frequency synchronization. The processor can also receive a signal containing at least an even-length ZC sequence and detect the even-length ZC sequence in the received signal.

Abstract: Aspects of the disclosure provide an apparatus that includes a baseband processing circuit and a transmitting circuit. The baseband processing circuit is configured to encode a reference signal based on a specific sequence to generate a digital stream. The specific sequence has non-zero values at selected positions, and the number of coincidences of non-zero value positions between the specific sequence and a shifted copy of the specific sequence is smaller than a threshold. The transmitting circuit is configured to transmit wireless signals in response to the digital stream.

Abstract: A flexible time-frequency grid is proposed. A baseline OFDM format consisting of CP and a following symbol interval is scaled in time to generate a set of extended OFDM frame formats. The set of extended OFDM frame formats is further extended by scaling in bandwidth. The OFDM frame formats and the extended OFDM frame format set are used dynamically in the wireless communication system in accordance to the changes of the communication environment. Furthermore, various methods are proposed to avoid and/or combat performance degradation of the resource elements (REs) interfered by non-orthogonal REs in the neighborhood due to different OFDM symbol configurations in the flexible time-frequency grid.

Abstract: Various embodiments are disclosed for providing timing tracking loops in a communication system. A communication system includes a delay locked loop (DLL) comprising a maximum region detector configured to identify a target channel profile comprising at least a portion of the multipath signals based on the timing information, the maximum region detector further configured to apply a weight vector to each channel tap in the target channel profile and determine a tap with a maximum power level relative to remaining channel taps in the channel profile. The system further comprises a window timing loop (WTL) adjuster configured to track a position of a channel estimation window (CEW) within an observation window corresponding to the maximum channel energy level, where the maximum channel energy level corresponds to the sum of the energy of all the taps for a given window.

Abstract: A decoder including an input, a branch metric unit, a path metric unit, a starting state unit, and a tail path forcing unit, or alternatively, a state consistency unit. The input is configured to receive a encoded sequence of bits. The branch metric unit is configured to determine a plurality of branch metrics for a plurality of respective transitions between a plurality of states in a trellis representation of a code used to generate the encoded sequence of bits. The path metric unit is configured to determine, based on the plurality of branch metrics, path metrics corresponding to a plurality of maximum likelihood survival paths reaching the plurality of respective states in the trellis representation. The starting state unit is configured to store a plurality of starting states for the respective maximum likelihood survival paths.

Abstract: Disclosed are UE-feedback techniques to support the adaptive DMRS transmission. A UE and eNB support adaptive DMRS transmission in which an eNB adjusts (i.e., selects) a DMRS pattern based on information describing channel conditions perceived by the UE. The UE may explicitly provide the channel conditions, or implicitly provide them by selecting a desired DMRS pattern.

Abstract: A decoder including an input, a branch metric unit, a path metric unit, a starting state unit, and a tail path forcing unit, or alternatively, a state consistency unit. The input is configured to receive a encoded sequence of bits. The branch metric unit is configured to determine a plurality of branch metrics for a plurality of respective transitions between a plurality of states in a trellis representation of a code used to generate the encoded sequence of bits. The path metric unit is configured to determine, based on the plurality of branch metrics, path metrics corresponding to a plurality of maximum likelihood survival paths reaching the plurality of respective states in the trellis representation. The starting state unit is configured to store a plurality of starting states for the respective maximum likelihood survival paths.

Abstract: Disclosed are UE-feedback techniques to support the adaptive DMRS transmission. A UE and eNB support adaptive DMRS transmission in which an eNB adjusts (i.e., selects) a DMRS pattern based on information describing channel conditions perceived by the UE. The UE may explicitly provide the channel conditions, or implicitly provide them by selecting a desired DMRS pattern.

Abstract: In one embodiment, interference suppression is improved by improving convergence criteria. For some embodiments, convergence is improved by employing non-constant alpha-beta-weighting. For other embodiments, convergence is improved by employing successive interference suppression methods that have guaranteed convergence properties.

Abstract: Disclosed are various embodiments for a symbol level Krylov method equalizer implemented in a wireless communications device. An HSDPA or WCDMA signal is input to the wireless communications device. A conjugate gradient method is applied to symbol-level samples of the signal until a termination condition is met. The termination condition may comprise having zero residual error, residual error below a threshold, or a specified number of iterations. Additionally, a preconditioning matrix may be applied to the inputs of the conjugate gradient method.

Abstract: A wireless communication device receives acquisition indicator (AI) data, including an acquisition indicator (AI), a corresponding AI signature, and a corresponding plurality of extended AI indicators (EAI). The device determines whether channel power corresponding to the received AI signature exceeds a first negative limit. The device determines whether a reliability metric of the extended acquisition indicators exceeds a second limit. If the channel power does not exceed the first negative limit and the reliability metric does not exceed the second limit, the device declares the AI to be an indeterminate indicator that denotes neither acknowledgment nor denial of an access request associated with the received AI data.

Abstract: In one embodiment, a method comprising sampling by a first sampling unit a first signal received via a first antenna; and sampling by a second sampling unit a second signal received via a second antenna, the sampling of the second signal commencing in synchronization with the sampling of the first signal by the first sampling unit based on an accumulated value, the first and second signal sharing common information.

Abstract: Various embodiments are directed towards suppressing inter-cell and intra-cell interference. In some embodiments, an intra-cell interference signal for a specified rake finger is received. An inter-cell interference signal is received. The intra-cell interference signals upstream of a chip-level equalizer are suppressed. The inter-cell interference signals upstream of the chip-level equalizer are suppressed.

Abstract: Disclosed are various embodiments for a symbol level Krylov method equalizer implemented in a wireless communications device. An HSDPA or WCDMA signal is input to the wireless communications device. A conjugate gradient method is applied to symbol-level samples of the signal until a termination condition is met. The termination condition may comprise having zero residual error, residual error below a threshold, or a specified number of iterations. Additionally, a preconditioning matrix may be applied to the inputs of the conjugate gradient method.

Abstract: In one embodiment, interference suppression is improved by improving convergence criteria. For some embodiments, convergence is improved by employing non-constant alpha-beta-weighting. For other embodiments, convergence is improved by employing successive interference suppression methods that have guaranteed convergence properties.

Abstract: In one embodiment, intra-cell interference suppression is achieved upstream of a chip-level equalizer, thereby mitigating downstream processing resources.

Abstract: In one embodiment, a method comprising sampling by a first sampling unit a first signal received via a first antenna; and sampling by a second sampling unit a second signal received via a second antenna, the sampling of the second signal commencing in synchronization with the sampling of the first signal by the first sampling unit based on an accumulated value, the first and second signal sharing common information.