A method for green energy-saving calculation in LTE hierarchical cell architecture

Abstract

The invention discloses a green energy-saving algorithm for use in LTE (long-term evolution) hierarchical cell architecture and belongs to the technical field of wireless communications. The algorithm comprises the steps of first, establishing a macrocell and small cell architecture communication system for LTE hierarchical cells; second, for certain period of time T started from moment t, setting transmitting power of a hibernating base station to 0 by using a base station hibernation strategy on the premise of saving energy and ensuring lowest QoS balance of users; third, calculating energy consumption E and energy-saving rate Rho of each small-cell base station to ensure that the energy-saving rate Rho is maximum; within next period of time T, using a base station transmitting power adaptive strategy to adjust transmitting powers of the base stations according to time-varying characteristics of channels in order to reduce interruptions; fourth, carrying out simulation verification; base station energy-saving effect and user QoS are balanced, it is guaranteed that energy consumed by base stations can be saved as much as possible, and it is also guaranteed that good QoS is provided for a user.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, in particular to a method for green energy-saving calculation in an LTE layered cell architecture. Background technique [0002] With the development of wireless communication technology, the number of cell base stations is also increasing year by year, which indirectly leads to the release of more greenhouse gases. The spectrum of the third-generation and fourth-generation mobile communication systems generally exists in higher frequency bands, and the signal penetration loss is relatively serious; in order to ensure the normal communication needs of users, operators have to deploy more low-power nodes, but It will further increase the energy consumption of the entire communication system. [0003] In order to solve the problem of indoor hotspot coverage, heterogeneous networks are proposed because of their advantages such as high spectrum utilization, flexible deployment, and hi...

AI Technical Summary

Problems solved by technology

The spectrum of the third-generation and fourth-generation mobile communication systems generally exists in higher frequency bands, and the signal penetration loss is relatively serious; in order to ensure the normal communication needs of users, operators have to deploy more low-power nodes, but Will further increase the energy consumption of the entire communication system

However, the cell scaling mechanism still adopts the coverage deployment of static cells, which often leads to the inability to guarantee the QoS of users in heavily loaded cells

[0008] Document [10] Reduce power consumption through multi-hop transmission in cellular networks, Vehicle Technology Conference, 2004.VTC2004-Fall.2004IEEE 60th, 2004, pp.3120-3124Vol.5. Proposed long-term base station energy-saving technology and short-term base station Energy-saving technology, the switching cycle of this technology is generally in hours, and the feasibility is poor, it is prone to coverage blind spots and congestion, and further increases signaling overhead

[0009] In summary, the traditional base station dormancy strategy assumes that the wireless channel is constant, and only considers the large-scale fading when calculating the SINR of the received signal, but the small-scale fading of the wireless channel cannot be ignored in high-density networking. , if the small-scale fading of the channel is considered, the traditional algorithm cannot realize the energy saving of the base station sleep

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