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A measurement-based model for dynamic spectrum access in WLAN channels. In: Proc. IEEE Military Comms. Conf. (MILCOM 2006), pp. 1–7 (October 2006) 5. : Dynamic spectrum access in the time domain: Modeling and exploiting white space. IEEE Comms. Magazine 45(5), 66–72 (2007) 6. : A framework for statistical wireless spectrum occupancy modeling. IEEE Trans. on Wireless Comms. 9(1), 38–55 (2010) 7. : Spectrum survey in Singapore: Occupancy measurements and analyses. In: Proc. 3rd Int’l. Conf. on Cognitive Radio Oriented Wireless Networks and Comms.
1 Introduction In Cognitive Radio Networks (CRNs) , when multiple channels are available, Secondary Users (SUs) can decide to aggregate them together as one channel to support services with higher data rate or still to treat them as individual channels. The former alternative, channel aggregation, has been proposed in many Media Access Control (MAC) protocols [2–4] in CRNs. The research work on spectrum access in CRNs can be categorized into two phases. The first phase is MAC protocol design itself, which aims at proposing feasible schemes to make CRNs access spectrum more efficiently [2–4].
We denote it as No aggregation in our numerical results presented later. 3 CTMC Models for the Channel Aggregation Strategies To model different strategies, we develop CTMCs by assuming that the service arrivals of SUs and PUs to these channels are Poisson processes with arrival rates λS and λP respectively. Correspondingly, the service times are exponentially distributed with service rates μS and μP in one channel. The newly arrived PU services will access channels that are not occupied by PU services with the same probability.
Cisco - Deploying xDSL 207