Abstract: Embodiments are provided for calibration, preprocessing, and segmentation for user localization and network traffic density estimation. The embodiments include sending, from a network component, a request to a plurality of user equipment (UEs) to participate in reporting localization data. Reports for localization data including no-lock reports are received from at least some of the UEs. The no-lock reports indicate indoor UEs among the UEs. The network preprocesses the localization data by eliminating, from the localization data, data that increases the total noise to signal ratio. The localization data is then processed using a model that distinguishes between different buildings. This includes associating, according to a radio map, radio characteristics in the localization data with corresponding bins in a non-uniform grid of coverage. The non-uniform grid is predetermined to maximize uniqueness between the radio characteristics.

Abstract: A method comprises playing at a device, over a first time period, a video stream having a bit rate. The method further comprises determining a count of stalls in the playing of the video stream; determining, based on the count of stalls and the bit rate, a score for the video stream; and providing, to a server device, the score.

Abstract: Embodiments are provided for calibration, preprocessing, and segmentation for user localization and network traffic density estimation. The embodiments include sending, from a network component, a request to a plurality of user equipment (UEs) to participate in reporting localization data. Reports for localization data including no-lock reports are received from at least some of the UEs. The no-lock reports indicate indoor UEs among the UEs. The network preprocesses the localization data by eliminating, from the localization data, data that increases the total noise to signal ratio. The localization data is then processed using a model that distinguishes between different buildings. This includes associating, according to a radio map, radio characteristics in the localization data with corresponding bins in a non-uniform grid of coverage. The non-uniform grid is predetermined to maximize uniqueness between the radio characteristics.

Abstract: Method and apparatus are provided for localizing wireless devices. In one such arrangement, a method of fingerprinting includes receiving, by a first network element, a plurality of records from a second network element and determining a first segment. A first drive test record of the plurality of records can be assigned to the first segment, and a second segment can be determined, where a first area of the first segment is not equal to a second area of the second segment. A second drive test record of the plurality of records can be assigned to the second segment.

Abstract: The present invention provides a method of wireless communication with a device. The method includes accessing diagnostic information associated with the device and providing the diagnostic information over an air interface.

Abstract: The per sector or per cell downlink capacity in a spread spectrum wireless network is determined using a single test mobile that is operating within a background of simulated co-channel interference being broadcast in each sector by all cell sites in the network whose capacity is of interest. From all sectors, an Orthogonal Channel Noise Simulator (OCNS) generates a multiple number of calibrated test signals, which are aggregated and broadcast downlink, where each transmitted test signal simulates the downlink power transmitted to a live mobile. Each component test signal in the aggregated OCNS output transmitted in each sector is a sample of a stochastic process with a set mean and standard deviation that are determined from the mean and standard deviation of the power of a real signal transmitted downlink to the test mobile as it is moved around the network's coverage area.

Abstract: To take advantage of hierarchical cell layers, an inter-layer handoff system determines a cell layer for servicing a wireless unit at least as a function of the duration that the wireless unit is in a cell or set of cells of a cell layer. For example, as a function of the duration that the wireless unit is in the cell or set of cells for a first cell layer, a determination is made as to whether the wireless unit should be serviced by a cell or set of cells of a second cell layer. As such, wireless units moving at higher speeds which will be handed off frequently in a smaller cell layer(s) are serviced by a larger cell layer(s). Thus, the hierarchical cellular communications system can have the increased capacity provided by the smaller cell layer(s) while reducing the number of handoffs which would occur of the faster moving wireless units in the smaller cell layer(s).

Abstract: In a CDMA wireless communications system, the time at which a particular cell sector will reach its maximum capacity is predicted by extrapolating from current service measurements in that sector and using a service provider's projections of traffic growth in order to estimate the point in time at which the traffic level in that sector will cause the total power usage at the base station in that sector to reach a level at which a particular overload condition will exist, where that particular overload condition is manifested in a predetermined blocking criteria. Conventional service measurement data is used to develop an individual characteristic for each sector, which is used to project that sector's maximum capacity. From that maximum capacity, a determination of when that capacity is likely to be reached is then made from projected traffic growth patterns for that sector.