Small-site switching method in ultra-dense network combined with caching technology

Abstract

The present invention provides a method for switching small stations in an ultra-dense network combined with caching technology. The method includes the following steps: Step 1: Collect network information; Step 2: Collect network information from S 1 (t)(S 1 (t)∈Ω), traverse all possible base station states in the base station state set Ω, step 3: Calculate the load rate ρ of small station k at time t according to formulas (10) and (11) k (t), average load efficiency Step 4: update time t=t+1, update team leader; execute step 2-3; step 5: exit the iterative process when t=T+1; step 6: calculate the nth traversal search time , in the state set S n The cost function under; Step 7: Update the base station state set S n = S n+1 , execute step 2‑6; step 8: when the traversal search ends; step 9: calculate n according to the formula for all cost function values * ; Step 10: Execute switch decision for all small stations according to the obtained optimal base station state.

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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