Abstract: A method for decompressing data includes receiving, by a network element, a first plurality of packets. Also, the method includes receiving, by the network element, a second plurality of packets. Additionally, the method includes decompressing the first plurality of packets by a first decompressor using a first compression scheme and decompressing the second plurality of packets by a second decompressor using a second compression scheme.

Abstract: Interference costs on virtual radio interfaces can be modeled as a function of loading in a wireless network to estimate changes in spectral efficiency and/or resource availability that would result from a provisioning decision. In one example, this modeling is achieved through cost functions that are developed from historical and/or simulated resource cost data corresponding to the wireless network. The cost data may include interference data, spectral efficiency data, and/or loading data for various links over a common period of time (e.g., a month, a year, etc.), and may be analyzed and/or consolidated to obtain correlations between interference costs and loading on the various links in the network. As an example, a cost function may specify an interference cost on one virtual link as a function of loading on one or more neighboring virtual links.

Abstract: Predicting mobile station migration between geographical locations of a wireless network can be achieved using a migration probability database. The database can be generated based on statistical information relating to the wireless network, such as historical migration patterns and associated mobility information (e.g., velocities, bin location, etc.). The migration probability database consolidates the statistical information into mobility prediction functions for estimating migration probabilities/trajectories based on dynamically reported mobility parameters. By example, mobility prediction functions can compute a likelihood that a mobile station will migrate between geographic regions based on a velocity of the mobile station. Accurate mobility prediction may improve resource provisioning efficiency during admission control and path selection, and can also be used to dynamically adjust handover margins.

Abstract: Historical decoding in accordance with signal interference cancellation (SIC) or joint processing may reduce the amount of data that is re-transported across a network following an unsuccessful attempt to decode a data transmission. In one example, historical decoding is performed in accordance with interference cancellation by communicating information related to interfering data (rather than information related to serving data) following a served receiver's unsuccessful attempt to decode an interference signal. The information related to the interfering data may be the information bits carried by the earlier interfering data transmission or parity information (e.g., forward error correction (FEC) bits, etc.) related to the earlier interfering data transmission.

Abstract: System and method embodiments are provided for provisioning a quality of cellular user experience (QoE) or quality of service (QoS) specified device in a wireless local area network (LAN). The embodiments enable a QoE or QoS specified by a service agreement for a device to be maintained during periods when the device is transmitting data to and receiving data from the wireless LAN (e.g., a WiFi hotspot). In an embodiment, a method includes determining that at least one QoS-sensitive device is communicating with a wireless LAN access point (AP), reserving a contention free period (CFP) in a superframe for the at least one QoS-sensitive device to communicate with the AP, and allocating a contention period (CP) in the superframe for non-QoS-sensitive devices to communicate with the AP, wherein the non-QoS-sensitive devices are prohibited from transmitting during the CFP.

Abstract: A method and an antenna array system are provided for estimating parameters of radio signals impinging on antenna arrays, for estimating angular parameters, for estimating angular distribution types, and for selecting types of antenna array processing. Models of angular distribution types are used to populate look-up tables. Correlation magnitudes and correlation phases of signals impinging on antenna elements of antenna arrays are used as pointers to obtain values of parameters from the look up tables. The obtained values may be compared to some value ranges in order to select appropriate antenna array processing types. Where the angular distribution type is unknown, several values representing angular parameters may be obtained from look-up tables representing various models, and a variance of the angular parameter values for each model may be calculated.

Abstract: A method and an antenna array system are provided for estimating parameters of radio signals impinging on antenna arrays, for estimating angular parameters, for estimating angular distribution types, and for selecting types of antenna array processing. Models of angular distribution types are used to populate look-up tables. Correlation magnitudes and correlation phases of signals impinging on antenna elements of antenna arrays are used as pointers to obtain values of parameters from the look up tables. The obtained values may be compared to some value ranges in order to select appropriate antenna array processing types. Where the angular distribution type is unknown, several values representing angular parameters may be obtained from look-up tables representing various models, and a variance of the angular parameter values for each model may be calculated.