Quick three-point interpolation algorithm through joint optimization of sensing time and resource allocation

Abstract

The invention discloses a quick three-point interpolation algorithm through joint optimization of sensing time and resource allocation. An optimization goal is as shown in the specification, wherein ris the total data rate; tau is the sensing time slot width; X and W are a proportion matrix and a transmitting power matrix of a user on each frequency band respectively; and a constraint condition is that the detection and false probabilities and the transmitting power peak value and mean value are limited by pre-set thresholds. The algorithm is as follows: an optimization problem is decomposedinto upper and lower sub-layers at first; then, first and second interpolation points are selected near the lower bound of a tau feasible area; on the basis of the connection slope, a third interpolation point is selected; then, the derivative of an interpolation function is set to zero; the optimal solution of tau as shown in the specification is derived; and finally, the optimal solution of tauas shown in the specification is substituted into the lower layer to be optimized, so that optimal solutions of X and W as shown in the specification are obtained. The algorithm disclosed by the invention is obvious in speed advantage; and furthermore, the precision of the algorithm still can be kept in a relatively high level.

Description

Technical field [0001] The invention relates to a cognitive radio system perception time length and resource allocation joint optimization fast calculation technology, belonging to the field of wireless communication technology. Background technique [0002] The complete process of resource allocation in a cognitive radio system in an interleaving mode involves the allocation of the tested spectrum, the configuration of the perception time slot, and the configuration of the access scheme (the so-called wireless resource allocation, which usually includes the channel, modulation method, and transmission power). 者) multi-parameter joint optimization problem. This type of joint optimization problem is a very complex hybrid optimization problem. In addition, in each data frame period, the system must be based on the current state of the sensing channel (that is, the authorized system transmitter to the cognitive system detection terminal) and the transmission channel (that is, the co...

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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problems existing in the prior art, the purpose of the present invention is to provide a fast three-point interpolation algorithm for joint optimization of cognitive radio system perception duration and resource allocation, which can make the mean value and variance of the calculation delay as small as possible , to avoid the situation that the actual calculation time exceeds the fixed time slot configured for the calculation task (that is, the data transmission time slot is crowded), which will lead to the deterioration of system performance

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