Research On Channel Allocation Technology In MCMR Network

With the rapid development of wireless communication technology,wireless networks are receiving more and more attention.Compared with traditional single-channel single-radio(SCSR)networks,nodes in multi-channel multi-radio(MCMR)networks can simultaneously utilize multiple orthogonal channels through different radios,which will significantly increase the throughput of the network,so this thesis studies the channel allocation scheme for different needs in different network scenarios.The main work is as follows:Aiming at the requirement of minimizing radio interface resources in the MCMR ad hoc network,based on the existing two algorithms,this thesis proposes a distributed channel allocation algorithm.This algorithm completes the basic network connectivity and reduces interference by selecting the optimal edge node for network expansion.The simulation results show that this algorithm reduces the usage of interface resource to a lower level than the other two algorithms.Aiming at the requirement of maximizing the throughput in the MCMR ad hoc network,this thesis proposes a channel allocation algorithm that prioritizes connectivity and maximizes the throughput by arranging and combining the available channel sets.Each node selects the optimal channel combination to reduce the interference between the links.This algorithm prioritizes the network connectivity,and the nodes in the network can reach their neighbor nodes in a distributed manner.The simulation results show that compared with other algorithms,this algorithm has significantly improved the throughput performance of the network.Based on the MCMR network model,the cognitive radio scenario is added.For the requirement of maximizing throughput,this thesis proposes a dynamic adaptive algorithm.This algorithm can fully adapt to the situation where the spectrum used by authorized users change.This algorithm not only avoids interference to authorized users,but also fully utilizes spectrum resources and improves spectrum utilization and throughput.The simulation results show that compared with other channel allocation algorithms,this algorithm has higher throughput performance and faster convergence,which can better adapt to network changes.