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 uplink interference management for wireless networks are disclosed. In some embodiments, a system, a process, and/or a computer program product for inter-cell interference management for wireless networks (e.g., heterogeneous cellular networks) includes determining a plurality of strongest neighbor cells of a cell on a wireless network based on a plurality of measurement reports; and allocating a distinct frequency reuse pattern selected from a plurality of predetermined frequency reuse patterns to each cell for uplink cellular communication to facilitate inter-cell interference management.

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: Techniques for uplink interference management for wireless networks are disclosed. In some embodiments, a system, a process, and/or a computer program product for inter-cell interference management for wireless networks (e.g., heterogeneous cellular networks) includes determining a plurality of strongest neighbor cells of a cell on a wireless network based on a plurality of measurement reports; and allocating a distinct frequency reuse pattern selected from a plurality of predetermined frequency reuse patterns to each cell for uplink cellular communication to facilitate inter-cell interference management.

Abstract: A method and system architecture for a self-organizing network (SON) includes a first cell having a first user equipment classifier for determining one of cell edge and cell central. The SON also includes a second cell having a second user equipment classifier for determining one of cell edge and cell central. The system architecture and method provide a first transmit time interval (TTI) schema for user equipment within the area of coverage associated with the first cell and a TTI schema for user equipment within the area of coverage associated with the second cell, the second TTI schema differing from the first TTI schema. The user equipment is classified as cell center or cell edge in dependence upon at least one of QoS requirement, geometry, periodic PSMM and CQI reports. The TTI schemas are used for “cell edge” user equipment by the respective cells.

Abstract: A self-organizing wireless network (SON) includes a plurality of base stations. Each base station includes a SON component for coordinating radio resource allocation with other base stations and a radio resource management component for accepting an allocation from the SON component and managing usage of that allocation for end user equipment associated with its base station. The base stations provide access to a plurality of end user equipment. The SON may include a server for communicating with the SON component for coordinating of radio resource allocation. The self-organizing wireless network may include a central control for communicating with the SON component for coordinating of radio resource allocation. Coordinating of radio resources relates to physical channels, transmit power, spatial resource allocation, admission control, load balancing, coordinating network elements in groups and includes adapting to addition of and reduction of network elements in a group in real time.

Abstract: Multi-cell interference management (MCIM) for interference management among multiple cells in a wireless communication network is provided. In some embodiments, MCIM includes collecting data (e.g., CQI measurements and/or subband usage statistics) from a neighborhood of base stations; determining local and neighborhood system utility metrics; and determining interference managing directives (e.g., that can be communicated to the MAC layer of a base station in the neighborhood of base stations).

Abstract: LTE and HSPA/UMTS deployments are trending towards high density, heterogeneous and ad-hoc deployments. These deployments can be managed through Self-Organizing Network (SON) schemas. Enabling SON generally involves the introduction of new software and/or hardware entities into the network that can interact with existing base station and network entities (e.g., Enhanced Packet Core, Element Management System, and/or other network entities). In one embodiment, these interactions include the development and deployment of interfaces (e.g., APIs) and protocols between the SON entities and various network entities. For example, data collected on either side of an interface or protocol can be post-processed before consumption (e.g., for both data integrity purposes as well as bandwidth reduction purposes).

Abstract: A method and system architecture for a self-organizing network (SON) includes a first cell having a first user equipment classifier for determining one of cell edge and cell central. The SON also includes a second cell having a second user equipment classifier for determining one of cell edge and cell central. The system architecture and method provide a first transmit time interval (TTI) schema for user equipment within the area of coverage associated with the first cell and a TTI schema for user equipment within the area of coverage associated with the second cell, the second TTI schema differing from the first TTI schema. The user equipment is classified as cell center or cell edge in dependence upon at least one of QoS requirement, geometry, periodic PSMM and CQI reports. The TTI schemas are used for “cell edge” user equipment by the respective cells.

Abstract: Various techniques are disclosed for wireless communications for providing a methodology and algorithm(s) to manage resources and schedule users in a coordinated way among a group of base stations, such as Femtocells, Picocells, self-organized Basestations, Access Points (APs) or mesh network nodes, or among the basestations in a two tiered networks, to improve the performance for individual user, individual Basestation (BTS), the overall systems or all of above.

Abstract: Apparatus and methods for synchronizing a network element (e.g. access points, femtocells, etc.) to a master network (such as a cellular network) to provide accurate frequency and/or time references for their internal systems. In one embodiment, the network element utilizes a dedicated receiver (or transceiver) to receive timing information from the master network. The implementation of the dedicated receiver is advantageous for cost and simplicity reasons. Furthermore, the timing or frequency information, as received from the master network, is used to correct the network element's internal timing. In addition, the network element's internal timing can operate in open-loop mode, if no master network can be found, thereby allowing for the device to continue providing service to network users. Additionally, a dedicated receiver can also receive information (e.g. location, SID, NID, SSID, etc.

Abstract: Dual mode radio for frequency division duplexing and time division duplexing communication modes. In some embodiments, dual mode radio for frequency division duplexing and time division duplexing communication modes includes a multi-mode communication unit for wireless communication, in which the multi-mode communication unit allocates access for a time based communication mode and a frequency based communication mode; and a processor configured to implement at least in part the multi-mode communication unit. In some embodiments, the time based communication mode includes a time division duplexing (TDD) communication mode, and the frequency based communication mode includes a frequency division duplexing (FDD) communication mode.

Abstract: Autonomous power adaptation in a heterogeneous cellular environment is disclosed. In some embodiments, autonomous power adaptation for a first small area cellular device in a heterogeneous cellular environment includes collecting received signal strength information for one or more neighboring large area cellular devices and one or more neighboring small area cellular devices; and determining a maximum transmit power for the first small area cellular device that minimizes interference with the one or more neighboring large area cellular devices and the one or more small area cellular devices, in which determining the maximum transmit power for the first small area cellular device that minimizes interference with the one or more neighboring large area cellular devices and the one or more small area cellular devices includes prioritizing the one or more neighboring large area cellular devices over the one or more neighboring small area cellular devices.

Abstract: Techniques for data offload using various distributed network architectures are disclosed. In some embodiments, wireless communications, specifically, system architectures and their implementation of distributed network architectures that can be used to effectively offload the data from the centralized cellular core networks are disclosed. For example, techniques for data offload using a distributed network architecture can be applied to heterogeneous networks (HetNet) that can include macrocells, picocells, femtocells, remote radio heads, and/or access points, and in one or more layers. These techniques can also be applied within so-called cloud-Radio Access Networks (cloud-RAN) networks.

Abstract: Self-Organized Network (SON) architectures for heterogeneous networks are disclosed. In some embodiments, various SON architectures for heterogeneous networks are provided that can evolve with such networks while the core functional modules of the SON solution can remain the same. In some embodiments, techniques for implementing SON architectures for heterogeneous networks includes providing a base station that includes performing a pre-operation self-configuration; and performing an operation self-optimization.

Abstract: Base stations with coordinated multiple air-interface operations are provided. In some embodiments, multi-mode base station (BTS) systems operate with different air-interfaces, functionality, or configurations in a coordinated manner. For example, typical applications of such systems can include Macrocell BTS, Picocell BTS, Femtocell BTS, or Access Point (AP), Set Top Box (STB), or Home Gateway, Hot Spot Devices, User Terminal with the capability to perform required base station operations. In some embodiments, various techniques are provided for system improvements and optimizations via radio resource management, including user and system throughput optimization, QoS improvement, interference management, and various other improvements and optimizations. In some embodiments, a system (e.g.

Abstract: Power savings and interference reduction for multimode devices (e.g., base stations and relay nodes) is disclosed. In some embodiments, power savings and interference reduction for multimode devices includes selecting a power state of the multimode device selected from a plurality of power states, in which the multimode device is in a first power state (e.g., an active or serving power state), and in which the selected power state is a second power state (e.g., a reduced power state), and transitioning the multimode device from the first power state to the second power state.

Abstract: A method and system architecture for a self-organizing network (SON) includes a first cell having a first user equipment classifier for determining one of cell edge and cell central. The SON also includes a second cell having a second user equipment classifier for determining one of cell edge and cell central. The system architecture and method provide a first transmit time interval (TTI) schema for user equipment within the area of coverage associated with the first cell and a TTI schema for user equipment within the area of coverage associated with the second cell, the second TTI schema differing from the first TTI schema. The user equipment is classified as cell center or cell edge in dependence upon at least one of QoS requirement, geometry, periodic PSMM and CQI reports. The TTI schemas are used for “cell edge” user equipment by the respective cells.

Abstract: Multi-cell interference management (MCIM) for interference management among multiple cells in a wireless communication network is provided. In some embodiments, MCIM includes collecting data (e.g., CQI measurements and/or subband usage statistics) from a neighborhood of base stations; determining local and neighborhood system utility metrics; and determining interference managing directives (e.g., that can be communicated to the MAC layer of a base station in the neighborhood of base stations).

Abstract: A self-organizing wireless network (SON) includes a plurality of base stations. Each base station includes a SON component for coordinating radio resource allocation with other base stations and a radio resource management component for accepting an allocation from the SON component and managing usage of that allocation for end user equipment associated with its base station. The base stations provide access to a plurality of end user equipment. The SON may include a server for communicating with the SON component for coordinating of radio resource allocation. The self-organizing wireless network may include a central control for communicating with the SON component for coordinating of radio resource allocation. Coordinating of radio resources relates to physical channels, transmit power, spatial resource allocation, admission control, load balancing, coordinating network elements in groups and includes adapting to addition of and reduction of network elements in a group in real time.