Resource and performance management in wireless communication networks

We study the problems of resource and performance management in channelized wireless networks. For identifying research issues systematically, we propose a research framework which consists of two modules: performance optimization and network servicing modules. For an in-service communication network, performance optimization module manages radio resources to ensure communication quality of service and optimize system performance. For channelized wireless system, the real-time issues of performance optimization are admission control, channel assignment, power control, and homing. The network servicing module is event-driven or a periodically resource augmentation plan, which alleviates the performance exceptions and optimizes long-term system revenue by using corrective mechanisms consisting of resource augmentation, channel reassignment, cell rearrangement, and rehoming issues. Under the consideration of generic sectorization and interference effects, we introduce several mathematical models for both modules and formulate the associated issues as combinatorial integer programming problems. By using the Lagrangean relaxation method, several efficient and effective algorithms are developed to deal with these NP-hard problems.