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A study was conducted to propose a Celnet Xplorer-based self-optimizing network (SON) architecture that enables detailed analysis of network performance. The use of highly efficient, autonomic self-optimization and configuration processes is needed in order to meet performance objectives in Long Term Evolution (LTE) networks.

The cell-site vault design for a secure femto-class base station is described. It is a secure processing environment designed to prevent undesirable operations like denial-of-service attacks and stealing of authentication and encryption keys.

The vision of 911-network on wheels (911-NOW) and its differentiating features such as auto-configuration and interoperability with existing public safety systems are described. The 911-NOW is ideally suited for emergency response and disaster recovery operations, as it provides an on-demand capacity and coverage with wireless mesh networking capabilities for wide area coverage and network reliability and redundancy.

The development of conceptual approaches, algorithms, modeling, simulation, and real-time measurements were studied that provide the foundation for future dynamic network optimization techniques. The main approach capitalizes on automated algorithms for the traditional network optimization process developed specifically to operate within the constraints of current network-measurement reporting capabilities.