Modeling, Simulation and Call Performance Analysis of a TDMA- Based Cognitive Radio Network with Different Slot Allocation Strategies
Abstract
Since the wireless spectrum is limited, the use of licensed channels for secondary purposes is seen as an
important solution to the spectrum scarcity problem. The objective of the work presented in this paper
is to model, develop and analyze a cognitive radio network in which secondary users (SUs) utilize
opportunistically available spectrum holes of the primary network. In the proposed network model, it is
assumed that primary users (PUs) are licensed users and have a higher priority in access to the channel
than secondary users and thereby are unaffected by the SUs’ channel utilization. PUs employ Time
Division Multiple Access as a channel access mechanism and secondary users use the time slots
unoccupied by the PUs. Three slot allocation strategies for Cognitive Radio (CR) networks: non-slot-
handoff strategy, slot-handoff strategy, and slot-reservation strategy are developed, modeled, and
simulated by using Riverbed Modeler simulation software. Moreover, channel access performances of
these three strategies in terms of call block, call drop and call handoff probabilities are analyzed.
According to the extensive simulation results, the non-slot-handoff strategy gives the lowest call block
probability while the slot-reservation strategy provides the lowest call drop probability. When the SUs’
offered load is 0.05, the slot-reservation strategy gives 1.75 times better call drop probability results
than those of the slot-handoff strategy. However, for the same offered load, the non-slot-handoff strategy
gives 2.26 times better call block probability results compared to the slot-reservation strategy.
Keywords
Cognitive radio, medium access control, TDMA, channel allocation
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