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Fig. 6 Optimal secondary throughput R* in iteration.

Fig. 8 Secondary throughput R versus self-interference threshold Γ when P p = 0.15W Fig. 9 Secondary throughput R versus self-interference threshold Γ when P p = 0.35W.

It is necessary to design an optimal policy to maximize secondary throughput.

This is because the secondary throughput reduces with N due to the channel structure.

Then, the secondary throughput derivation and the problem of maximizing the throughput of secondary system is formulated and solved in Section 3. Section 4 presents simulation results of secondary throughput.

This means that for a given target PD, an optimal sensing time can be found to maximize the secondary throughput.

The sensing time allocation problem consists in finding the optimal sensing window length {M1,..., M N } that minimize a cost function f (R1,..., R N ) depending on the secondary throughputs.

Figure 5 Secondary user throughput versus power budget.

Figure 13 Secondary user throughput vs. sub-carrier bandwidth.

To find the optimal access strategy, we formulate secondary network throughput as an optimization problem.

We present a randomized access strategy to maximize total secondary network throughput.