Rule-based Spectrum Allocation Algorithms for Heterogeneous Cognitive Radio Wireless Networks

The growing number of heterogeneous cognitive radio wireless network (CRWN) deployments sharing the same radio frequency spectrum band will lead to a number of new coexistence challenges when it comes to channel allocation. In this paper we propose rule-based spectrum allocation algorithms for CRWN. In the channel partitioning (CP) rule, white space (WS) channels with the biggest bandwidth are partitioned to the required bandwidth sizes before being allocated to a CRWN that requires smaller bandwidths. In the channel bonding (CB) rule, a number of WS channels are bonded together to meet the needs of the CRWNs requiring the widest bandwidth. Performance eval-uation results show that the total number of WS channels allocated under rule-based scheme was equivalent to those allocated under an interference aware WS allocation scheme. However, in order to satisfy quality of service of secondary users, the rule-based scheme searches for the most suitable WS channels among the list of discovered channels through nartitioning rules.