Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the rapid growth of wireless networks and the increasing de- mand for wireless services, there will be an acute shortage of spectrum re- sources in the near future. A promising solution is to use the cognitive radio technology to arm the mesh nodes with opportunistic spectrum access capabili- ty, which leads to a more flexible access to spectral resources. ,  investigate the joint interface assignment and channel allocation problem in cognitive radio mesh network. In order to ensure the QoS quality for each call,  propose a novel nested optimization technique based on genetic algorithm to find the optimal resource allocation. Extensive simulation results show that the proposed algorithm converges fast and approaches the global optimal solution efficiently.
['Jie Jia', 'Qiusi Lin', 'Jie Li', 'Jian Chen']
I am writing a research paper on a idea Joint Optimization of Interface Assignment and Channel Allocation in Cognitive Radio Mesh Networks
[{"from": "human", "value": "I am writing a research paper on a idea Joint Optimization of Interface Assignment and Channel Allocation in Cognitive Radio Mesh Networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: With the rapid growth of wireless networks and the increasing de- mand for wireless services, there will be an acute shortage of spectrum re- sources in the near future. A promising solution is to use the cognitive radio technology to arm the mesh nodes with opportunistic spectrum access capabili- ty, which leads to a more flexible access to spectral resources. ,  investigate the joint interface assignment and channel allocation problem in cognitive radio mesh network. In order to ensure the QoS quality for each call,  propose a novel nested optimization technique based on genetic algorithm to find the optimal resource allocation. Extensive simulation results show that the proposed algorithm converges fast and approaches the global optimal solution efficiently."}]