Nowadays the operators of mobile cellular networks are focusing more and more on the energy efficient operation of their networks. An important aspect for the base station is to operate optimally and efficiently. Therefore various algorithms allow us to conserve energy (and thus money) for mobile cellular networks. It is an option to use renewable energy sources, however these technologies need more investment. Therefore, another possibility to give solutions based ont he software optimization in energy management.
In my thesis I have developed a solution where the base stations establish self-organized units (Virtual Cells). A decision will be made within these Virtual Cells depending on the current network traffic which stations should be switch to sleep mode to save energy int he system. In each Virtual Cell a Master station is chosen to monitor the process and coordinate the shut down mechanism. To compensate the coverage outage from the cells int he sleep mode, the radius of the master station should be increased, thus providing the service to the specific area. A novel mobile cellular network simulator and different traffic profiles (dense urban, urban, suburban) were used to measure the performance of my base station management algorithm.