Ultra-dense network micro station switching method combining caching technology

Abstract

The invention provides an ultra-dense network micro station switching method combining the caching technology. The method comprises the following steps: step 1: collecting network information: an operator measures the total numbers of macro stations and micro stations within a region area, and respectively marks the total numbers as Nm and Ns, so that the distribution densities lambada m and lambada s of the macro stations and the micro stations in the region are obtained; step 2: traversing all possible base station states in a base station state set omega starting from S1(t)(S1(t) belongs toomega), wherein the traversing count is (the formula is shown in the specification); step 3, respectively calculating load rates rho k(t) and the average load efficiency (the formula is shown in thespecification) of the micro stations k at a moment t according to formulas (10) and (11); step 4: updating the moment as t=t+1, updating a captain, and executing steps 2-3; step 5: when t=T+1, exitingan iteration process; step 6: calculating a cost function under the state set Sn during the nth traversal search; step 7: updating the base station state set as Sn=Sn+1, and executing the steps 2-6;step 8: when (the formula is shown in the specification), ending the traversal search; step 9: for cost function values (the formula is shown in the specification) of all (the formula is shown in thespecification), calculating n* according to the formula; and step 10: executing switching decision-making on all micro stations according to the obtained optimal base station state (the formula is shown in the specification).

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to an ultra-dense network small station switch method combined with a cache technology in a wireless communication system. Background technique [0002] The explosive growth of mobile traffic in the 5G (the fifth generation) network has brought great challenges to mobile network operators. In order to meet future mobile data requirements and greatly improve system capacity and user experience quality, traditional high-power macro stations Deploying ultra-dense low-power small cells in coverage areas, especially in high-traffic hotspot areas, can achieve huge throughput gains. However, the ever-increasing number of base stations in an ultra-dense heterogeneous network will inevitably consume more power and energy. In the composition of wireless network energy consumption, the energy consumption of base stations accounts for the largest proportion, accountin...

AI Technical Summary

Problems solved by technology

[0003] The existing base station switching technology selects the base station to be turned off based on user service perception or channel status, without combining service status and channel information, and for the purpose of reducing energy consumption or delay, without considering delay and energy consumption The trade-off problem makes the existing switch strategy difficult to apply to the actual ultra-dense heterogeneous network

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