Distributed Resource Allocation Based on Queue Balancing in Multi-Hop Cognitive Radio Networks
Source: University of Michigan
Cognitive radio allows unlicensed users to access the licensed spectrum opportunistically to enhance the spectrum utilization efficiency. In this paper, the problem of allocating resources (channels and transmission power) in multi-hop Cognitive Radio Networks (CRNs) is modeled as a multi-commodity flow problem with the dynamic link capacity resulting from dynamic resource allocation, which is in sharp contrast with existing flow control approaches that assume fixed link capacity. Based on queue-balancing network flow control that is suitable for handling dynamically changing spectrum availability in CRNs, the authors propose a distributed scheme (installed and operational in each node) for optimal resource allocation without exchanging spectrum dynamics information between nodes.