Airhop Communications, Inc.

Protomatics, Inc.

Zaijin Guan

Hanson On

Fei Zhou

Douglas McPherson

Yan Hui

Hsien Li Woo

Ramakrishna Akella

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.

Method and system architecture for a self organizing network

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). As described herein, a full set of such interfaces and protocols with specific examples are disclosed to illustrate various techniques for providing protocols, interfaces, and pre/post-processing for enabling SON entities and features in base stations and wireless networks.

Protocols, interfaces, and pre/post-processing for enabling son entities and features in base stations and wireless networks

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.

Self-organization network architectures for heterogeneous networks

Self-optimization in heterogeneous networks techniques are provided. In autonomous mode, certain self-optimization criteria are used to set up one or more targets with same or different priorities. The cells in a defined area of a HetNet autonomously adjust certain radio resources (e.g., power, time, frequency, and/or spatial resources (e.g. antenna, location)) in order to achieve or to be close to the targets such that the self-optimization criteria are met. In a coordinated mode, certain self-optimization criteria are used to define one or more cost functions with same or different priorities. The cells or a subset of users in the cells in a defined area of a HetNet search for the optimal solution for the cost functions by coordinating certain radio resources.

Self-optimization in heterogeneous networks

The system and method for defining messages of communication networks in a formal notation called Transfer Syntax Notation One ('TSN.1') and compiling TSN.1 message definitions into a software message parser using a TSN.1 compiler are provided. The parser is designed to speed up the development of wireless communication software. It translates messages between the implementation specific, programming language and platform dependent representations and the standard defined, programming language and platform independent representations. The messages described using the TSN.1 notation can be communicated to wireless device protocol stacks over a variety of networks, which utilize a number of protocols and implement OSI 7 Layers Protocol Model, including such layers as Transport, Network, and Data Link. The message parser generated by the TSN.1 Compiler can be easily incorporated into a user application, and can run on many popular software development platforms, such as Microsoft Windows, Linux, SUN Solaris, and other Unix systems.

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San Diego, CA, United States of America

Zaijin Guan