This dissertation presents SelfFit, a framework for automatic subscriber-oriented connectivity adaptation in wireless networks. It addresses scalability challenges by introducing five innovative self-adaptation concepts for dynamic network infrastructures, exemplified within the 3GPP Evolved Packet Core architecture. A rigorous evaluation framework is also developed to assess existing technologies and proposed solutions, demonstrating the innovation's practical value.
