Abstract: Methods, apparatus, and systems for dynamic antenna tilt coordination. In one embodiment, real-time data from user equipment (UE) measurement reports are aggregated across multiple base station entities. State input for a machine learning algorithm may be generated from the aggregated UE measurements. The machine learning algorithm may be trained to maximize a real-time network consideration (such as data throughput) by adjusting antenna tilt. During operation, the machine learning algorithm provides tilt settings to each of the radio units (RU) of a base station. Live feedback allows the machine learning algorithm to robustly handle a variety of conditions (e.g., weather, data traffic, etc.

Abstract: Methods, apparatus, and systems for dynamic antenna tilt coordination. In one embodiment, real-time data from user equipment (UE) measurement reports are aggregated across multiple base station entities. State input for a machine learning algorithm may be generated from the aggregated UE measurements. The machine learning algorithm may be trained to maximize a real-time network consideration (such as data throughput) by adjusting antenna tilt. During operation, the machine learning algorithm provides tilt settings to each of the radio units (RU) of a base station. Live feedback allows the machine learning algorithm to robustly handle a variety of conditions (e.g., weather, data traffic, etc.

Abstract: Methods, apparatus, and systems for dynamic antenna tilt coordination. In one embodiment, real-time data from user equipment (UE) measurement reports are aggregated across multiple base station entities. State input for a machine learning algorithm may be generated from the aggregated UE measurements. The machine learning algorithm may be trained to maximize a real-time network consideration (such as data throughput) by adjusting antenna tilt. During operation, the machine learning algorithm provides tilt settings to each of the radio units (RU) of a base station. Live feedback allows the machine learning algorithm to robustly handle a variety of conditions (e.g., weather, data traffic, etc.

Abstract: Techniques for automatic adaptive anomaly detection are disclosed. In some embodiments, a system, a process, and/or a computer program product for automatic anomaly detection includes handling invalid or missing data, building a model for the normal or typical statistical relationship between data, using the model to generate an anomaly score for each input set of data, threshold detection and persistence filtering, and automatic label generation for detected anomalies.

Abstract: A wireless device achieves good performance using a crystal oscillator that is not compensated for temperature. The crystal oscillator provides a reference signal having a temperature dependent frequency error. A control unit estimates the frequency error (e.g., based on a received pilot) and provides a frequency error estimate. A clock generator generates a digital clock, which tracks chip timing, based on the reference signal and the frequency error estimate. A receiver frequency downconverts an input RF signal with a receive LO signal having the frequency error and provides an analog baseband signal. An ADC digitizes the analog baseband signal based on a sampling clock having the frequency error and provides ADC samples. A re-clocking circuit re-clocks the ADC samples based on a digital clock and provides data samples. A digital rotator frequency translates the data samples based on the frequency error estimate and provides frequency-translated samples centered near DC.

Abstract: A novel mobile unit which communicates with a new and advantageous base station. The mobile unit includes a system for generation of position information and a transceiver for transmitting the position information. In the preferred embodiment, the transceiver is a CDMA system and the system for generating position information includes an arrangement for receiving a GPS signal. In the preferred embodiment, a GPS assisted arrangement is employed which is adapted to receive a signal from an airborne platform as well as from a satellite based platform. The inventive base station is adapted to receive position information from a remote unit and provide a received position signal in response thereto. The novel base station is further equipped with a mechanism for directing a beam in response to the received position signal.

Abstract: Techniques are provided to control the transmit power for data transmission on multiple transport channels having different signal quality (SIR) targets. A single SIR target is maintained for all transport channels, and this SIR target is adjusted based only on active transport channels. For each update interval, a data processor processes at least one data block received in the current update interval on at least one of the transport channels and provides the status of each received data block. A controller increases the SIR target based on an up step if any received data block is erased and decreases the SIR target based on a down step if all received data blocks are good. If any received data block is erased, the down step used to adjust the SIR target may be set to the smallest down step size required by all transport channels with erased data blocks.

Abstract: A phase lock loop apparatus and method is disclosed. A typical apparatus includes a demodulator receiving a phase error signal from a comparator at a chip rate and providing a phase error update over a symbol period from the phase error signal wherein the chip rate is higher than the symbol rate. A phase discriminator produces a phase error output at the symbol rate from the phase error update based upon a signal modulation type. A loop filter produces one or more phase estimate parameters at a symbol rate from the phase error output and a numerically controlled oscillator (NCO) extrapolates a phase reference at a chip rate from the one or more phase estimate parameters at a symbol rate. The comparator produces the phase error signal to the demodulator based upon the phase reference and an incoming signal.

Abstract: A wireless communication device performance, such as standby time, is improved by adaptively allocating surplus system resources to change quick paging channel parameters at the system, such a system being for example, a base station. Adaptively adjusting the quick paging channel parameters allows available base station resources to be allocated to the quick paging channel, thereby enabling the wireless communication device to demodulate the quick paging channel more reliably. Parameters such as the number of quick paging channels, the data rate used by the paging channel, and the quick paging channel transmit power level are weighed and adjusted.

Abstract: A wireless communication device performance, such as standby time, is improved by adaptively allocating surplus system resources to change quick paging channel parameters at the system, such a system being for example, a base station. Adaptively adjusting the quick paging channel parameters allows available base station resources to be allocated to the quick paging channel, thereby enabling the wireless communication device to demodulate the quick paging channel more reliably. Parameters such as the number of quick paging channels, the data rate used by the paging channel, and the quick paging channel transmit power level are weighed and adjusted.

Abstract: A predistortion technique for high power amplifiers includes an adaptive predistortion algorithm that operates independently of data samples to write a set of complex gain values, or predistortion parameters, to a lookup table. The algorithm may be processor-driven. The gain values are taken from the lookup table and multiplied by a complex digital baseband waveform. The gain values may first be subjected to interpolation. The downconverted output of the amplifier is measured to gauge the efficacy of the predistortion. Based on the effect of the predistortion upon the ratio of in-band power to out-of-band power, decisions are made on the set of predistortion parameters for the next iteration of the algorithm. The algorithm runs continuously, perturbing parameters and adapting the predistortion functions accordingly in an effort to continually reflect instantaneous amplitude-modulation and phase-modulation relationships that may change over time with temperature variation or component aging.