Dynamic Resource Management and Optimization in Heterogeneous Wireless Networks under IEEE1900.4 Framework

Next generation (xG) wireless networks will contain a number of radio access networks (RANs), which mainly depend on various radio access technologies (RATs). Meanwhile, the subscribers in the current networks will be equipped with multi-mode, reconfigurable, and cognitive equipments, with or without multi-homing abilities. This chapter looks at the definition, principle, architecture, optimization objective, specific approach, and optimization of resource for such a composite network /hybrid network context under IEEE1900.4 framework. First, the challenges of spectrum scarcity, and the requirements of a novel resource management framework in the limited resource scenario are summarized. Second, the authors focus on the techniques of resource management and optimization architecture. After a simple description of the basics of IEEE P1900.4, a novel double cognition cycle (DCC) design in the fashion of utility function theory is proposed in this chapter. The DCC contains two cognition cycles corresponding to the terminal and network side, respectively, and is uniformed in the frameworks of network utility maximization (NUM). Third, the authors capture the challenges of resource management protocols of the current developing heterogeneous networks and investigate the dynamic churning behaviors, where the subscribers are equipped with intelligent terminals with the aid of cognitive radios.