Dynamic Computation and Adjustment of Channel Hopping Sequences for Cognitive Radio Networks Based on Quality Metrics

M. Engel, R. Gotzhein

to be published

Zusammenfassung

In cognitive radio networks (CRNs), secondary users employ spectrum sharing with license holders (primary users) of a frequency band. Whenever a primary user uses his frequency band, all secondary users must vacate the channel and meet on a new one. Many network access schemes for CRNs employ proactive channel hopping, where all or a subset of secondary users switch channels from time to time in order to reduce interference with primary users. This calls for dynamic channel hopping sequences (schedules) shared among and applied by secondary users. In this paper, we present a new approach for the dynamic computation and adjustment of channel hopping sequences for CRNs. Based on channel quality, we introduce quality metrics for the number of channel utilizations, and for the channel hopping sequence. Based on these metrics, we dynamically compute and adjust optimal schedules, i.e. assignments of channels to time slots. Our approach gives preference to channels of higher quality, by using them more frequently, and yields schedules that are less prone to channel failure, e.g. due to usage by a primary user. Furthermore, dynamic schedule adjustments typically lead to small changes, keeping the operation of secondary users more stable.





 

 
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