Opportunistic Scheduling with Power Control in Cognitive Radio Networks

Abstract

Cognitive Radio network (CRN) is a network composed of elements that, through learning and reasoning, dynamically adapt to varying network conditions in order to improve spectrum efficiency for wireless networking. To investigate opportunistic scheduling, this paper develops a methodology based on the jointly consideration of the power control and flow routing. The two-phrase cross-layer design with multiuser interference consideration is explained. The influences from the diverse transmission power control are identified. Using bandwidth foot product (BFP) as a link metric, the power control granularity is predicted by a proposed strategy that considers radio resource management. To support user communication sessions, the power control with decentralized scheduling (PCDS) algorithm is proposed. Experimental and simulation results are provided as verification of the analyses and solutions.