Abstract: A unit test and automation framework (UTAF) system and method are disclosed for unit testing. A unit definition file that includes properties of the unit being tested may be compiled to generate a skeleton code that describes a structure of the unit and the interactions of the unit with other units. One or more interactions may be overridden to generate a unit production code for the unit. A unit testing (UT) engine may enable interactions between the unit and the other units to run test cases on the unit production code as part of unit testing. Various components of the UTAF system may provide commands to or perform functions for the UT engine to perform the unit testing, such as providing test commands, displaying statistics, providing interface messaging between the unit and the plurality of other units, provide commands for record and replay testing, and other information.

Abstract: Dynamic reorganization of cell structures in wireless networks. The present invention relates to wireless communications and, more particularly, to energy usage of wireless equipments in wireless communications. Currently there are mechanisms in use that can selectively turn of carriers in a BTS depending on the traffic load. But due to the fixed costs of operating the base station even when there are no active users, turning off entire BTS will give more energy savings than simply reducing capacity by turning off carriers at low load. Embodiments herein detect a change in demand on the network and re-organize the cellular network by selectively turning off BTSs and appropriately increasing the coverage area of other BTSs, and arrive at a configuration that optimizes the energy consumption of the cellular network as a whole.

Abstract: Dynamic reorganization of cell structures in wireless networks. The present invention relates to wireless communications and, more particularly, to energy usage of wireless equipments in wireless communications. Currently there are mechanisms in use that can selectively turn of carriers in a BTS depending on the traffic load. But due to the fixed costs of operating the base station even when there are no active users, turning off entire BTS will give more energy savings than simply reducing capacity by turning off carriers at low load. Embodiments herein detect a change in demand on the network and re-organize the cellular network by selectively turning off BTSs and appropriately increasing the coverage area of other BTSs, and arrive at a configuration that optimizes the energy consumption of the cellular network as a whole.