Abstract: System and method embodiments are provided for adaptive anomaly detection based predictor for network data. In an embodiment, a computer-implemented method in a network component for predicting values of future network time series data includes receiving, with one or more receivers, network time series data; determining, with one or more processors, whether an anomaly is detected in the network time series data; generating, with the one or more processors, a prediction associated with the network data according to a primary predictor when no anomaly is detected in the network time series data; generating, with the one or more processors, the prediction associated with the network data according to an alternative predictor when an anomaly in the network time series data is detected; and sending, with one or more transmitters, the prediction to a network controller, wherein the network controller uses the prediction to adjust network parameters.

Abstract: Techniques for optimizing configuration parameters in a wireless network may iteratively adjust one or more wireless configuration parameters during a first stage of an adjustment period until either a cost increase during a single iteration exceeds an upper cost threshold or (ii) the number of successive iterations exhibiting a per-iteration cost increase between the upper cost threshold and a lower cost threshold exceeds a threshold number of iterations. This may trigger the AP proceed to a second stage of the adjustment period, where the AP may adjust the same wireless configuration parameter in an opposite direction, maintain a value of the wireless parameter, or adjust a different wireless configuration parameter during the second stage. Progression between successive adjustment periods may be at least partially coordinated between APs in a group of APs.

Abstract: Convergence times associated with simulated annealing based (SA-based) optimization in wireless networks can be reduced by introducing an additional local or cell-level evaluation step into the evaluation of global solutions. In particular, new local solutions may be evaluated based on local performance criteria when the new solutions are in a global solution deemed to have satisfied a global performance criteria. New local solutions that satisfy their corresponding local performance criteria remain in the new global solution. New local solutions that do not satisfy their corresponding local performance criteria are replaced with a corresponding current local solution from a current global solution, thereby modifying the new global solution. The resulting modified global solution includes both new local solutions and current local solutions prior to being accepted as the current global solution for the next iteration.

Abstract: An anomaly detection apparatus, method, and computer program product are provided using a probabilistic latent semantic analysis (PLSA). In use, data is received, and a PLSA is performed, based on the data. Further, one or more anomalies are detected in the data, based on the PLSA. Still yet, information identifying the one or more anomalies is stored and/or displayed.

Abstract: A method includes receiving an anomaly data point and comparing the anomaly data point to a magnitude bounding box to produce a first comparison. The method also includes comparing the anomaly data point to a principal component analysis (PCA) bounding box to produce a second comparison and classifying the anomaly data point in accordance with the first comparison and the second comparison to produce a classification.

Abstract: Adjusting cell specific antenna configuration parameters includes receiving, at each of a plurality of radio access nodes in a network, measurement reports from a plurality of user equipment devices. Base incremental adjustments to configuration parameters of one or more antennas are performed at each radio access node in response to the measurement reports. Additional measurement reports are received from the plurality of user equipment devices after the incremental adjustments. Base incremental adjustments to the configuration parameters of the one or more antennas at the radio access nodes continue to be performed in response to the measurement reports after previous incremental adjustments until an improvement limit has occurred. Biased random adjustments to the configuration parameters of the one or more antennas at the radio access nodes are performed in response to the improvement limit until a desired optimum result is achieved.

Abstract: A method includes receiving an anomaly data point and comparing the anomaly data point to a magnitude bounding box to produce a first comparison. The method also includes comparing the anomaly data point to a principal component analysis (PCA) bounding box to produce a second comparison and classifying the anomaly data point in accordance with the first comparison and the second comparison to produce a classification.

Abstract: A method for determining cell states to adjust antenna configuration parameters includes receiving, at a radio access nodes in a network, measurement reports from a plurality of user equipment devices. The radio access node performs a weak coverage analysis in response to the measurement reports to determine whether a cell provided by the radio access node is assigned a good coverage state or a weak coverage state. The radio access node performs an overshooting analysis in response to the measurement reports to determine whether the cell provided by the radio access node is assigned an overshooter state or a non-overshooter state. The radio access node performs an interference analysis in response to the measurement reports to determine whether the cell provided by the radio access node is assigned an interferer state or a non-interferer state.

Abstract: Methods and systems for predicting network performance include receiving a number of sets of data points of a number of network elements. Each of the number of sets of data points includes performance counter values and a performance indicator of a respective network element of the number of network elements. A global model representing a global relationship pattern between the performance indicator and the performance counter values is determined based on the number of sets of data points of the number of network elements. For each network element, residual features are determined based on error measures between the global model and the set of data points including the performance indicator and the performance counter values of the network element. The number of network elements are clustered into a number of clusters based on the determined residual features of the number of network elements.

Abstract: An anomaly detection apparatus, method, and computer program product are provided using a probabilistic latent semantic analysis (PLSA). In use, data is received, and a PLSA is performed, based on the data. Further, one or more anomalies are detected in the data, based on the PLSA. Still yet, information identifying the one or more anomalies is stored and/or displayed.

Abstract: System and method embodiments are provided for adaptive anomaly detection based predictor for network data. In an embodiment, a computer-implemented method in a network component for predicting values of future network time series data includes receiving, with one or more receivers, network time series data; determining, with one or more processors, whether an anomaly is detected in the network time series data; generating, with the one or more processors, a prediction associated with the network data according to a primary predictor when no anomaly is detected in the network time series data; generating, with the one or more processors, the prediction associated with the network data according to an alternative predictor when an anomaly in the network time series data is detected; and sending, with one or more transmitters, the prediction to a network controller, wherein the network controller uses the prediction to adjust network parameters.

Abstract: A method of allocating resources for transmitting content from a network element in a communications network to one or more mobile devices each in communication with the network element may include receiving, at the network element, characteristic information corresponding to each of the one or more mobile devices; and generating one or more adaptive guaranteed bit rate (AGBR) values at the network element corresponding to each of the one or more mobile devices, respectively. The AGBR values may be GBR values generated for each of the one or more mobile devices based on the corresponding characteristic information. A first scheduling algorithm may be executed at the network element based on the one or more AGBR values; and resources may be allocated to the one or more mobile devices based on an output of the scheduling algorithm.

Abstract: Techniques for optimizing configuration parameters in a wireless network may iteratively adjust one or more wireless configuration parameters during a first stage of an adjustment period until either a cost increase during a single iteration exceeds an upper cost threshold or (ii) the number of successive iterations exhibiting a per-iteration cost increase between the upper cost threshold and a lower cost threshold exceeds a threshold number of iterations. This may trigger the AP proceed to a second stage of the adjustment period, where the AP may adjust the same wireless configuration parameter in an opposite direction, maintain a value of the wireless parameter, or adjust a different wireless configuration parameter during the second stage. Progression between successive adjustment periods may be at least partially coordinated between APs in a group of APs.

Abstract: A method for determining cell states to adjust antenna configuration parameters includes receiving, at a radio access nodes in a network, measurement reports from a plurality of user equipment devices. The radio access node performs a weak coverage analysis in response to the measurement reports to determine whether a cell provided by the radio access node is assigned a good coverage state or a weak coverage state. The radio access node performs an overshooting analysis in response to the measurement reports to determine whether the cell provided by the radio access node is assigned an overshooter state or a non-overshooter state. The radio access node performs an interference analysis in response to the measurement reports to determine whether the cell provided by the radio access node is assigned an interferer state or a non-interferer state.

Abstract: Adjusting cell specific antenna configuration parameters includes receiving, at each of a plurality of radio access nodes in a network, measurement reports from a plurality of user equipment devices. Base incremental adjustments to configuration parameters of one or more antennas are performed at each radio access node in response to the measurement reports. Additional measurement reports are received from the plurality of user equipment devices after the incremental adjustments. Base incremental adjustments to the configuration parameters of the one or more antennas at the radio access nodes continue to be performed in response to the measurement reports after previous incremental adjustments until an improvement limit has occurred. Biased random adjustments to the configuration parameters of the one or more antennas at the radio access nodes are performed in response to the improvement limit until a desired optimum result is achieved.

Abstract: Methods and apparatus are provided for adjusting configuration parameters, such as antenna tilt or transmit power, of a plurality of cells in a wireless network based on measurement reports received during a data collection period of the wireless network, so that coverage and capacity of the wireless network may be improved. Cell status labels or blames are assigned to each of the cells based on the measurement reports, and configuration parameters of the cells are adjusted based on the assigned cell status labels or blames.

Abstract: Convergence times associated with simulated annealing based (SA-based) optimization in wireless networks can be reduced by introducing an additional local or cell-level evaluation step into the evaluation of global solutions. In particular, new local solutions may be evaluated based on local performance criteria when the new solutions are in a global solution deemed to have satisfied a global performance criteria. New local solutions that satisfy their corresponding local performance criteria remain in the new global solution. New local solutions that do not satisfy their corresponding local performance criteria are replaced with a corresponding current local solution from a current global solution, thereby modifying the new global solution. The resulting modified global solution includes both new local solutions and current local solutions prior to being accepted as the current global solution for the next iteration.

Abstract: The present invention provides a method of providing rate tiers in a wireless communication system. Embodiments of the method include forming, at a network element in the wireless communication system, a statistical representation of resource usage for a user in the wireless communication system as a function of location and/or time using measurements of the user's resource usage at a plurality of locations. Embodiments of the method also include defining, at the network element, a plurality of rate tiers based on the statistical representation. Each rate tier indicates a rate for a different level of resource usage offered to the user.

Abstract: In one embodiment, a method of determining whether a metric is an anomaly includes receiving a data point and determining a metric in accordance with the data point and a center value. The method also includes determining whether the metric is below a lower threshold, between the lower threshold and an upper threshold, or above the upper threshold and determining that the data point is not the anomaly when the metric is below the lower threshold. Additionally, the method includes determining that the data point is the anomaly when the metric is above the upper threshold and determining that the data point might be the anomaly when the metric is between the lower threshold and the upper threshold.

Abstract: A system and method for a partner network sharing architecture is provided. In an embodiment a piece of user equipment that is part of a partner network is handed off or otherwise attached to a wholesale network. The identification of the partner network that the piece of user equipment originated from is determined by an ordering of a list of PLMN IDs that is transmitted to the wholesale network.