The efficient utilization of radio resources is a fundamental issue in wireless communication. On this purpose, a novel Cognitive Radio Resource Management (RRM) is proposed to improve the spectrum utilization efficiency. In particular, heterogeneous Primary Users (PUs) with multiple features are considered and these PU features, stored in a radio environment map (REM) database, are exploited for the design of an efficient Cognitive RRM. An optimization framework is developed by considering heterogeneous PUs and variable CR demands while assuring interference protection towards PUs. A suboptimal solution is proposed after showing that an optimal solution is computationally infeasible. Simulation results are conducted in terms of total achieved data rate and satisfaction of CR requirements.
Cognitive Radio Resource Management exploiting Heterogeneous Primary User
VIZZIELLO, ANNA;FAVALLI, LORENZO;SAVAZZI, PIETRO
2011-01-01
Abstract
The efficient utilization of radio resources is a fundamental issue in wireless communication. On this purpose, a novel Cognitive Radio Resource Management (RRM) is proposed to improve the spectrum utilization efficiency. In particular, heterogeneous Primary Users (PUs) with multiple features are considered and these PU features, stored in a radio environment map (REM) database, are exploited for the design of an efficient Cognitive RRM. An optimization framework is developed by considering heterogeneous PUs and variable CR demands while assuring interference protection towards PUs. A suboptimal solution is proposed after showing that an optimal solution is computationally infeasible. Simulation results are conducted in terms of total achieved data rate and satisfaction of CR requirements.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
