Local Independent Control of Cognitive Radio Networks
Christian Doerr, Dirk C. Grunwald, Douglas Sicker · 2008
Many different algorithms for managing cognitive radio networks have been proposed. While these algorithms have applied the whole range from centrally managed to distributed control schemes, a common feature of previous work is the reliance on explicit communication to exchange and negotiate configuration information. This paper describes a new class of cognitive radio control algorithms employing local independent control based upon swarming behavior found in nature. We examine the feasibility of such local independent control in a testbed implementation of the algorithm, configuring and dynamically adapting a cognitive radio network. We find that approach is suited to coordinate a cognitive radio network based on passive observation of its environment only and may coordinate with other control algorithms deployed in heterogeneous secondary user networks.