A Cross-layer Scheduling Algorithm Based on Cognitive Radio Network

Abstract

Cognitive radio network users have different QoS requirements. In order to provide different QoS requirements to users as well as increase the capacities of the cognitive radio networks, this paper presents a first in-depth comparative study on different factors effect QoS which include system performance, power interference, wireless channel conditions, services priorities and fairness constraints. A cross-layer scheduling algorithm which could optimize system performance and control power interference is proposed. Latency default probability of real-time users and throughput performance of nonreal-time users are respectively used to measure the fairness of real-time operational system and non-real-time operational system. Simulation results are computed and the results are shown. Delay performance of real-time traffic and throughput performance of non-real-time traffic are guaranteed by setting reasonable weight to index. And power interference to authorized users caused by cognitive radio network users reduces obviously. And system obtains a very good fair performance.