A Distributed Time-Footprint Spectrum Allocation Strategy for Cognitive Radio Networks

To investigate how to support user communication sessions in cognitive radio (CR), the radio technology should jointly perform power control, scheduling, and flow routing, which are generated by a multi-hop wireless network. With the adjustments of migrating nodes to neighboring nodes, a bandwidth footprint tree (BFT) is defined in this paper. Based on reducing hot spots approach, the distributed protocol is proposed to address spectrum allocation problem and to maximize the discovery of spectrum opportunities. With the derived model, different scenario schemes are compared based on their influence on traffic effect and low load flows limitations. The possible benefit from growing trees iteratively is clarified. In addition, a Chebyshev sum metric is utilized for sensing/monitoring of spectrum availability. With a cross-layer design approach, more evenly distributed sessions among the networks are achieved. Experimental and simulation results are provided as verification of the analyses and solutions.