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In Section "Power allocation", we formulate the optimization problem for optimal pilot symbol power allocation.
Therefore, to obtain the guard bands for the optimal performance, we formulate the optimization problem to minimize the blocking probabilities, which is equivalent to maximizing the accepted calls.
Then, we formulate the optimization problem and the associated constraints.
In the following, we formulate the optimization problem for the TP and the CP.
In Section 4, we formulate the optimization problem and present the proposed dynamic budget allocation scheme.
In Section 3 we formulate the optimization problem and define the standard interference function.
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We formulated the optimization problem with randomness and fuzziness as expectedly faced in practice.
Given the decoding method at each user, we can obtain the sum rate as a function of the beamforming vector, from which we can formulate the optimization problem to find the beamforming that maximizes the sum rate.
We formulate the QoS optimization problem as a dynamic multi-objective optimization problem.
That is to say, we can formulate the optimization problem as.
By completing the interference analysis of the different agents of the cognitive system, we can formulate the optimization problem before proceeding to the solution.
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