A dual-layer heterogeneous network power allocation method based on quantum galaxy search mechanism

Abstract

The invention provides a double-layer heterogeneous network power distribution method based on a quantum galaxy search mechanism, comprising: establishing a double-layer heterogeneous network power distribution model; initializing the star quantum position; updating the quantum rotation angle to realize a local search optimization search process ; Determine whether the maximum number of cycles K is reached ₁ , if it is not reached, go back to step 3; if it is reached, terminate the cycle; select a better galaxy; determine whether the maximum number of cycles K is reached ₂ , if not reached, return to step 5; if reached, terminate the loop; judge the flag variable flag; realize the optimization search process of local search; judge whether the maximum number of loops K is reached ₃ , if it is not reached, go back to step 8; if it is reached, terminate the loop, take the result obtained in the gth iteration as the optimal result, and judge whether the maximum number of iterations G is reached, if not, return to step 3; if it is reached, terminate the iteration , and output the optimal star position in the G-th iteration. The present invention can obtain better system performance than other intelligent solving mechanisms.

Description

technical field [0001] The invention relates to a double-layer heterogeneous network power distribution method based on a quantum galaxy search mechanism, and belongs to the field of resource distribution. Background technique [0002] Today, the global energy consumption is increasing at an alarming rate, and resource depletion is imminent. Green and sustainable development methods have long been put on the agenda. In order to solve the coverage problem, a large number of macro base stations will inevitably lead to more energy consumption. Excessive energy consumption for power supply of base stations is obviously inconsistent with the current concept of green and sustainable development, and the energy efficiency of the entire network system is bound to decline. This aspect is actually enough to deny the plan. For communication operators, improving energy efficiency and reducing carbon emissions can also reflect their social value and responsibility, and improving energy ...

AI Technical Summary

Problems solved by technology

But the mechanism is too complicated, and using the discrete quantum galaxy search mechanism, a power detection method with better convergence, stronger robustness and wider applicability can be obtained

[0006] The search results of the existing literature show that the existing wireless network power detection method has high computational complexity and poor robustness, and it is even more difficult to solve the complex power control problem in ...

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