An adaptive resource allocation technique with admission control for cognitive Wi-Fi networks

摘要: Radio resource allocation techniques play a key role in determining the performance of wireless networks and quality-of-service (QoS) offered to various applications supported by networks. The cognitive radio network (CRN) architecture can be efficiently utilized when advanced are employed assign secondary channels support varying traffic channel conditions. In network, deterministic algorithms could significantly increase utilization as well QoS. this paper, we propose an algorithm for IEEE802.11 Wi-Fi proposed utilizes information about transmission conditions effectively allocate resources improve QoS carrier sense multiple access with collision avoidance (CSMA/CA) based This paper also adopts Markov chain model that estimates achievable throughput contending OMNeT++ simulation models developed analyze algorithm. Simulation results show our predictive technique offers higher compared measurement-based IEEE 802.11