PCDS: Power Control with Opportunistic Scheduling for Cognitive Radio Networks Reconfiguration

Abstract

Cognitive Radio network (CR N ) 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 , spectrum allocation and flow routing. The two-phrase cross-layer design with multi - user interference consideration is explained. The influences from the diverse transmission power control are identified. To support user communication sessions, the Power Control with Decentralized Scheduling (PCDS) algorithm with reconfiguration management scheme is presented, which can dramatically improve spectral efficiency and performance of a multi-hop network. Using Bandwidth Foot Product (BFP) as a link metric, the power control granularity is predicted by a proposed strategy that considers radio resource management. The experimental results show that PCDS with reconfiguration can achieve good power granularity control and high spectrum allocation success rate.