CN107005935B

CN107005935B - Network energy efficiency optimization method and device

Info

Publication number: CN107005935B
Application number: CN201480084134.4A
Authority: CN
Inventors: 段晓明; 罗璇; 张翼德; 朱江; 王新玲; 陈杰
Original assignee: Beijing Huawang Online Commerce Co Ltd
Current assignee: Chongqing Kailede Technology Co.,Ltd.
Priority date: 2014-12-22
Filing date: 2014-12-22
Publication date: 2020-05-26
Anticipated expiration: 2034-12-22
Also published as: WO2016101101A1; CN107005935A

Abstract

The invention provides a network efficiency optimization method and a device, wherein the method comprises the following steps: the macro base station determines the initial network energy efficiency of a cell to be optimized; the macro base station sequentially calculates a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state after each low power base station in the cell to be optimized is dormant (S302); the macro base station sequentially estimates a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after awakening each low power base station in the dormant state in the cell to be optimized (S303); the macro base station determines a base station to be dormant and a base station to be awakened in a cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, and the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency; and the macro base station informs the base station with the dormancy to sleep and the base station to be awakened to wake up.

Description

Network energy efficiency optimization method and device

Technical Field

The embodiment of the invention relates to the technical field of wireless communication, in particular to a network energy efficiency optimization method and device.

Background

As mobile communication enters the fourth Generation (4G) development era, cellular networks introduce Heterogeneous networks (hetnets) that increase system capacity and improve coverage depth more effectively. In the HetNet architecture, a macro base station and a low power base station, such as a micro base station (Pico base station), coexist in a network. Where macro base stations are used for large-scale coverage and low power base stations are used to increase system capacity and improve coverage in small-scale areas.

In the HetNet framework, the low-power base station can effectively meet the requirement of broadband data service in a hotspot region, thereby not only improving the spectrum efficiency, but also increasing the cell capacity and realizing the improvement of the energy efficiency of the whole network. Although the introduction of low power base stations can effectively solve the capacity requirement problem in hot spots, new problems are brought about. Numerous studies have shown that hot spots have significant tidal effects. For example, during daytime work, the traffic in residential areas is small, while the traffic in commercial areas is large; after work at night, the situation is just the opposite. Because the deployment of the low-power base station is planned according to the peak traffic volume, the peak capacity of a plurality of cells is not fully utilized, and therefore, under the scene that the traffic volume of some cells is very low or even completely zero, the energy consumption of the low-power base station can be reduced by closing the low-power base station, and the energy efficiency of the whole network is improved.

In the current HetNet architecture, the sleep and wake-up policies of the low power base station are determined according to the traffic load of the low power base station. For example, when there is no user in the coverage area of a Pico base station or the user traffic load is smaller than a set threshold, the Pico base station may enter a sleep state; and immediately waking up the Pico base station to enter a working state once the user appears in the coverage area of the dormant Pico base station or the service load of the user is larger than the threshold value.

However, controlling the sleep and wake-up of the low power base station according to the traffic load of the low power base station can only control the power consumption of the low power base station. The total energy efficiency of the network is determined according to the sum of network service data volume of all base stations in the network and the sum of power consumption of all base stations, and the sleep and the awakening of the low-power base stations are controlled according to the service load, so that the energy efficiency of the whole network cannot be guaranteed to be improved.

Disclosure of Invention

The embodiment of the invention provides a network energy efficiency optimization method and device, which are used for improving the network energy efficiency optimization performance.

A first aspect provides a network energy efficiency optimization device, including:

the system comprises a processing module, a processing module and a processing module, wherein the processing module is used for determining the initial network energy efficiency of a cell to be optimized, and the cell to be optimized comprises at least one cell served by a macro base station; sequentially calculating the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state after each low-power base station in the working state in the cell to be optimized is dormant; sequentially estimating a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the dormant state after each low-power base station in the dormant state in the cell to be optimized is awakened; determining a base station to be dormant and a base station to be awakened in the cell to be optimized, wherein a first network energy efficiency corresponding to the base station to be dormant is greater than an initial network energy efficiency, a second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, a network service data volume of the macro base station is greater than zero and less than a maximum network service data volume threshold of the macro base station, and a power consumption of the macro base station is less than or equal to a maximum power consumption threshold of the macro base station;

and the sending module is used for informing the base station to be dormant to sleep and the base station to be awakened to awaken.

With reference to the first aspect, in a first possible implementation manner of the first aspect, the network energy efficiency optimizing device further includes:

the receiving module is used for receiving the network service data volume and the power consumption sent by each low-power base station in the cell to be optimized;

the processing module is specifically configured to determine the initial network energy efficiency of the cell to be optimized according to the network service data volume and power consumption of the macro base station and the network service data volume and power consumption sent by each low-power base station in the cell to be optimized.

With reference to the first aspect or the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the processing module is further configured to, before determining a to-be-dormant base station and a to-be-awakened base station in the to-be-optimized cell, use a low-power base station in a working state, where a corresponding first network energy efficiency is greater than the initial network energy efficiency, as an optional to-be-dormant base station in the to-be-optimized cell; taking the corresponding low-power base station in the dormant state with the second network energy efficiency greater than the initial network energy efficiency as the optional base station to be awakened in the cell to be optimized; and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold of the macro base station.

With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the processing module is specifically configured to calculate whether, after all optional dormant base stations in the cell to be optimized are dormant, a network traffic data volume of the macro base station is greater than a maximum network traffic data volume threshold of the macro base station, and whether power consumption of the macro base station is greater than a maximum power consumption threshold of the macro base station, if yes, the macro base station sets an optional dormant base station with the lowest network energy efficiency in the cell to be optimized as a dormant prohibiting base station, and then continues to calculate whether, after all optional dormant base stations in the cell to be optimized are dormant, the network traffic data volume of the macro base station is greater than a maximum network traffic data volume threshold of the macro base station, and whether power consumption of the macro base station is greater than a maximum power consumption threshold of the macro base station, until the network service data volume of the macro base station is less than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station; taking the rest optional base stations to be dormant as the base stations to be dormant; estimating whether the network service data volume of the macro base station is less than or equal to zero after all the selectable base stations to be awakened in the cell to be optimized are awakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed by all the optional base stations to be wakened after wakening, if so, the macro base station sets the optional base station to be wakened with the lowest energy efficiency of the second network in the cell to be optimized as the wakening forbidding base station, continuing to estimate whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the reduced power consumption of the macro base station is less than or equal to the power consumed after all the optional base stations to be awakened are awakened until the network service data volume of the macro base station is greater than zero, the power consumption reduced by the macro base station is larger than the power consumed by all the selectable base stations to be awakened after awakening; and taking the rest optional base stations to be awakened as the base stations to be awakened.

With reference to any one possible implementation manner of the first aspect to the third possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the processing module is specifically configured to sequentially calculate, by using the following formula, after each low power base station in an operating state in the cell to be optimized is dormant, a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the operating state:

wherein it is assumed that the cell to be optimized includes N low power base stations, EE_{sleep_j}Indicating that the first network energy efficiency of the cell to be optimized is achieved after the jth low-power base station in the working state is dormant,

indicating the network traffic data volume of the macro base station after the jth working low power base station is dormant,

indicating the power consumption of the macro base station after the jth active low power base station is put to sleep,

indicating the network traffic data volume of the ith low power base station after the jth low power base station in the working state is dormant,

and power consumption of the ith low-power base station after the jth low-power base station in the working state is dormant is represented.

With reference to any one possible implementation manner of the first aspect to the third possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the processing module is specifically configured to sequentially estimate, by using the following formula, a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the awake state after each low power base station in the cell to be optimized in the sleep state is woken up:

wherein it is assumed that the cell to be optimized includes N low power base stations, EE_{wakeup_j}Indicating that the second network energy efficiency of the cell to be optimized is achieved after the jth low-power base station in the sleep state is awakened,

indicating the network traffic data volume of the macro base station after the jth low power base station in the sleep state is awakened,

represents the power consumption of the macro base station after the jth low power base station in the sleep state is awakened, C_i ^wjRepresents the network traffic data volume, P, of the ith low power base station after the jth low power base station in the sleep state is awakened_i ^wjThe power consumption of the ith low power base station after the jth low power base station in the sleep state is awakened is shown.

A second aspect provides a network energy efficiency optimization method, including:

the macro base station determines the initial network energy efficiency of a cell to be optimized, wherein the cell to be optimized comprises at least one cell served by the macro base station;

the macro base station sequentially calculates the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state after each low-power base station in the working state in the cell to be optimized is dormant;

the macro base station sequentially estimates a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the dormant state after awakening each low-power base station in the dormant state in the cell to be optimized;

the macro base station determines a base station to be dormant and a base station to be awakened in the cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is greater than zero and smaller than the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold of the macro base station;

and the macro base station informs the base station to be dormant to sleep and the base station to be awakened to wake up.

With reference to the second aspect, in a first possible implementation manner of the second aspect, the determining, by the macro base station, an initial network energy efficiency of a cell to be optimized includes:

the macro base station receives network service data volume and power consumption sent by each low-power base station in the cell to be optimized;

and the macro base station determines the initial network energy efficiency of the cell to be optimized according to the network service data volume and the power consumption of the macro base station and the network service data volume and the power consumption sent by each low-power base station in the cell to be optimized.

With reference to the second aspect or the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, before the determining, by the macro base station, the to-be-dormant base station and the to-be-awake base station in the cell to be optimized, the method further includes:

the macro base station takes the corresponding low-power base station in the working state with the first network energy efficiency larger than the initial network energy efficiency as an optional base station to be dormant in the cell to be optimized;

the macro base station takes the corresponding low-power base station in the dormant state with the second network energy efficiency larger than the initial network energy efficiency as an optional base station to be awakened in the cell to be optimized;

the macro base station determines the base station to be dormant and the base station to be awakened in the cell to be optimized, and the method comprises the following steps:

the macro base station selects base stations to be dormant in the cell to be optimized from the base stations to be dormant in the cell to be optimized, the macro base station selects base stations to be awakened in the cell to be optimized from the base stations to be awakened in the cell to be optimized, and after the base stations to be dormant are awakened, the network service data volume of the macro base station is larger than zero and smaller than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold of the macro base station.

With reference to the second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the selecting, by the macro base station, a base station to be dormant in the cell to be optimized from the base stations to be dormant that can be selected in the cell to be optimized includes:

after the macro base station calculates that all the optional dormant base stations in the cell to be optimized are dormant, whether the network traffic data volume of the macro base station is larger than the maximum network traffic data volume threshold of the macro base station or not and whether the power consumption of the macro base station is larger than the maximum power consumption threshold of the macro base station or not, if yes, the macro base station sets the optional dormant base station with the lowest network energy efficiency in the cell to be optimized as a dormant prohibiting base station, and then continuously calculates that whether the network traffic data volume of the macro base station is larger than the maximum network traffic data volume threshold of the macro base station or not and whether the power consumption of the macro base station is larger than the maximum power consumption threshold of the macro base station or not after all the optional dormant base stations in the cell to be optimized are dormant and until the network traffic data volume of the macro base station is smaller than or equal to the maximum network traffic data volume threshold of the macro, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station;

the macro base station takes the rest optional base stations to be dormant as the base stations to be dormant;

the macro base station selects the base station to be awakened in the cell to be optimized from the base stations to be awakened which can be selected in the cell to be optimized, and the method comprises the following steps:

the macro base station estimates whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed by all the optional base stations to be wakened after wakening, if so, the macro base station sets the optional base station to be wakened with the lowest energy efficiency of the second network in the cell to be optimized as the wakening forbidding base station, continuing to estimate whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the reduced power consumption of the macro base station is less than or equal to the power consumed after all the selectable base stations to be awakened are awakened until the network service data volume of the macro base station is more than zero, the power consumption reduced by the macro base station is larger than the power consumed by all the selectable base stations to be awakened after awakening;

and the macro base station takes the rest optional base stations to be awakened as the base stations to be awakened.

With reference to any one possible implementation manner of the second aspect to the third possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, after the macro base station sequentially calculates to put each low power base station in an operating state in the cell to be optimized into sleep, the first network energy efficiency of the cell to be optimized corresponding to each low power base station in the operating state includes:

the macro base station sequentially calculates the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state after each low-power base station in the working state in the cell to be optimized is dormant through the following formula:

the network traffic data volume of the macro base station after the jth working low power base station is dormant is shown,

represents the network traffic data volume, P, of the ith low power base station after the jth low power base station in working state is dormant_i ^sjAnd power consumption of the ith low-power base station after the jth low-power base station in the working state is dormant is represented.

With reference to any one possible implementation manner of the second aspect to the third possible implementation manner of the second aspect, in a fifth possible implementation manner of the second aspect, after the macro base station sequentially estimates that each low power base station in a dormant state in the cell to be optimized is awakened, the second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state includes:

the macro base station sequentially estimates a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the awakening state after awakening each low-power base station in the dormant state in the cell to be optimized through the following formula:

represents the network service data volume, P, of the macro base station after the jth low-power base station in the dormant state is awakened₀ ^wjRepresents the power consumption of the macro base station after the jth low power base station in the sleep state is awakened, C_i ^wjRepresents the network traffic data volume, P, of the ith low power base station after the jth low power base station in the sleep state is awakened_i ^wjThe power consumption of the ith low power base station after the jth low power base station in the sleep state is awakened is shown.

According to the method and the device for optimizing the network energy efficiency, the initial network energy efficiency of the cell to be optimized is determined, and after each low-power base station in a working state in the cell to be optimized is dormant, the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state is calculated in sequence; sequentially estimating second network energy efficiency of the cell to be optimized corresponding to each low-power base station in a dormant state after awakening each low-power base station in the cell to be optimized, and finally determining the base station to be dormant and the base station to be awakened in the cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is greater than zero and less than the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station, and finally informing the base station to be dormant and the base station to be awakened to be awaken, therefore, the network energy efficiency of the cell to be optimized is improved, and the network energy efficiency optimization with the cell as the granularity is realized.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

FIG. 1 is a diagram of a heterogeneous network architecture;

fig. 2 is a schematic structural diagram of a first network energy efficiency optimization apparatus according to an embodiment of the present invention;

fig. 3 is a flowchart of a first embodiment of a network energy efficiency optimization method according to the present invention;

fig. 4 is a flowchart of a second method for optimizing network energy efficiency according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

In a network of HetNet architecture, there are at least two forms of base stations, which can be classified into macro base stations that provide wide range coverage and low power base stations that increase system capacity and improve coverage in small ranges within the coverage of the macro base stations. The low-power base station can be arranged in a hotspot area where users are concentrated, and the low-power base station shunts the service flow of part of the users in the hotspot area, so that the cell capacity is increased. When the number of users in the hot spot area is reduced, the low-power base station of the hot spot area can be closed, and when the low-power base station is in a dormant state, the service flow of the users can be concentrated into the macro base station for processing, so that the energy consumption is saved.

Fig. 1 is a schematic diagram of a heterogeneous network architecture, and as shown in fig. 1, a macro base station 11 covers an area 12, a low power base station 13 and a low power base station 14 are disposed in the area 12, a low power base station 13 covers an area 15, and a low power base station 14 covers an area 16. When the macro base station 11 and the low power base station 13 are in an operating state and the low power base station 14 is in a dormant state, according to the capability of the low power base station 13, part of the users in the area 15 access the network through the low power base station 13 and transmit the service data, and all other users in the area 12 access the network through the macro base station 11 and transmit the service data. When the number of users accessing the low power base station 13 is too small or the amount of network service data is too small, the macro base station 11 notifies the low power base station 13 to sleep from the working state, and the users accessing the low power base station 13 are switched to the macro base station 11 and continue to transmit the service data through the macro base station 11, so that the power consumption of the low power base station 13 is reduced; when the number of users in the area 16 is too large or the amount of network traffic data is too large, the macro base station 11 will notify the low power base station 14 to wake up from the sleep state, and some of the users in the area 16 will switch to the low power base station 14 and continue to transmit traffic data through the low power base station 14.

The network energy efficiency is an important index for judging the network optimization effect, and is equal to the ratio of the network service data volume to the network energy consumption. In the heterogeneous network architecture shown in fig. 1, the sleep and wake-up of the low power base station are controlled only according to the traffic load of the coverage area of the low power base station, and only the power consumption of the low power base station can be controlled. However, the power consumption required by the macro base station and the low power base station to process the same service traffic may be different, that is, after the low power base station sleeps and collects the service data traffic into the macro base station, although the power consumption of the low power base station is reduced, the power consumption of the macro base station may be increased, and the increased power consumption of the macro base station may be higher than the reduced power consumption of the low power base station. Conversely, after the low power base station wakes up, and after the traffic data traffic of the macro base station is shunted to the low power base station, although the power consumption of the macro base station is reduced, the power consumption of the low power base station is increased, and the increase of the power consumption of the low power base station may be higher than the power consumption reduced by the macro base station. Therefore, the sleep and wake-up of the low power base station are controlled only according to the traffic load of the coverage area of the low power base station, and the energy efficiency of the whole network cannot be guaranteed to be improved.

Therefore, the invention provides a method and a device for optimizing network energy efficiency, which are used for improving the energy efficiency of the whole network by taking a cell as granularity.

It should be noted that the macro base station in each of the following embodiments of the present invention may be a macro base station in any kind of wireless communication system, and the low power base station may also be a low power base station in any kind of wireless communication system, as long as at least one low power base station is included in the coverage area of the macro base station, the low power base station may offload traffic for the macro base station under the control of the macro base station, and implement sleep and wake-up under the control of the macro base station.

Fig. 2 is a schematic structural diagram of a first network energy efficiency optimization device according to an embodiment of the present invention, and as shown in fig. 2, the first network energy efficiency optimization device according to the embodiment includes:

a processing module 21, configured to determine an initial network energy efficiency of a cell to be optimized, where the cell to be optimized includes at least one cell served by a macro base station; sequentially calculating the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state after each low-power base station in the working state in the cell to be optimized is dormant; sequentially estimating a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the dormant state after each low-power base station in the dormant state in the cell to be optimized is awakened; determining a base station to be dormant and a base station to be awakened in the cell to be optimized, wherein a first network energy efficiency corresponding to the base station to be dormant is greater than an initial network energy efficiency, a second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, a network service data volume of the macro base station is greater than zero and less than a maximum network service data volume threshold of the macro base station, and a power consumption of the macro base station is less than or equal to a maximum power consumption threshold of the macro base station.

A sending module 22, configured to notify the base station to be dormant to sleep, and notify the base station to be wakened to wake up.

A receiving module 23, configured to receive network service data volume and power consumption sent by each low power base station in the cell to be optimized.

Specifically, the network energy efficiency optimization device provided by the embodiment is arranged in a macro base station; or the network energy efficiency optimization device provided in this embodiment is a macro base station, and each function is implemented by each functional module or device of the macro base station.

Macro base stations in the network may provide at least one serving cell (or sector), and there may be multiple low power base stations in the coverage area of each cell. For a cell, the network energy efficiency can be expressed by the following formula:

therein, EE₁Representing the network energy efficiency of the first cell,

representing the amount of network traffic data of the macro base station in the first cell,

representing the power consumption of the macro base station in the first cell,

representing the amount of network traffic data, P, of the ith low power base station in the first cell_i ¹And represents the power consumption of the ith low-power base station in the first cell, wherein the first cell comprises N low-power base stations. In the above equation, the amount of network traffic dataThe unit is unified as bit (bit), the unit of power consumption is unified as Joule (J), and the unit of network energy efficiency is bit/J. The energy efficiency of the network needs to be calculated in a certain time, which is generally a preset fixed value, network service data volume and power consumption of the macro base station and all the low power base stations in the cell are counted. Since the total amount of traffic data in the first cell is constant regardless of how the amount of traffic data in the first cell migrates between the macro base station and the low power base station, that is,

the power consumption of the macro base station and each low power base station is only a factor affecting the network performance of the first cell.

Because the network service data can be switched between the macro base station and the low-power base station by taking a cell as a unit, the network energy efficiency needs to be optimized by taking the cell as a unit according to the network service data volume and the power consumption of all the base stations in one cell, and thus, the network energy efficiency of the whole network can be optimized.

In the present embodiment, the network energy efficiency optimization apparatus includes a processing module 21 and a transmitting module 22. The processing module 21 first needs to determine the initial network energy efficiency of the cell to be optimized. The cell to be optimized may be at least one cell served by the macro base station, and the macro base station may perform network energy efficiency optimization on only one cell served by the macro base station, or may perform network energy efficiency optimization on all cells served by the macro base station in a unified manner. Before network energy efficiency optimization is performed on a cell to be optimized, a network energy efficiency optimization device needs to determine an optimization basis, so that the processing module 21 needs to determine the initial network energy efficiency of the cell to be optimized, and the initial network energy efficiency of the cell to be optimized is the network energy efficiency without network energy efficiency optimization. The processing module 21 may determine the initial network energy efficiency of the cell to be optimized by any method, for example, by measuring network traffic data volume and power consumption of the macro base station and each low power base station in the cell to be optimized. Another alternative method is: the network energy efficiency optimization device may further include a receiving module 23, where the receiving module 23 is configured to receive the network service data volume and the power consumption sent by each low-power base station in the cell to be optimized, and the processing module 21 obtains the network service data volume and the power consumption of the macro base station through the internal reception of the macro base station, so that the processing module 21 may determine the initial network energy efficiency of the cell to be optimized.

Next, the processing module 21 sequentially calculates the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the operating state after each low-power base station in the operating state in the cell to be optimized is dormant. And the processing module 21 sequentially estimates the second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after waking up each low power base station in the dormant state in the cell to be optimized. Since the network data amount and power consumption of the macro base station and other low power base stations in the cell to be optimized may change after the low power base station in the working state is dormant or the low power base station in the dormant state is awakened in the cell to be optimized, the processing module 21 needs to calculate the network energy efficiency of the whole cell to be optimized after each low power base station in the working state in the cell to be optimized is dormant or each low power base station in the dormant state is awakened.

When the network energy efficiency of the whole cell to be optimized, i.e., the first network energy efficiency and the second network energy efficiency, after each low-power base station in a working state in the cell to be optimized is dormant or after each low-power base station in a dormant state is awakened is calculated, the processing module 21 determines the base station to be dormant which needs to be dormant and the base station to be awakened which needs to be awakened according to the relationship between the first network energy efficiency, the second network energy efficiency and the initial network energy efficiency. When the first network energy efficiency or the second network energy efficiency corresponding to the low-power base station is greater than the initial network energy efficiency, the network energy efficiency of the cell to be optimized is improved after the low-power base station is dormant or awakened, and the low-power base station is the low-power base station which can be dormant or awakened.

Further, since the maximum processing capability and the maximum power consumption of the network service data of the macro base station or the low power base station are both limited, after comparing the first network energy efficiency or the second network energy efficiency with the initial network energy efficiency, the processing module 21 further needs to determine whether the network service data amount of the macro base station is greater than zero and less than the maximum network service data amount threshold of the macro base station and whether the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station after the base station to be dormant is dormant and the base station to be awakened. When a low power base station in a working state in a cell to be optimized is dormant, network service data volume of the low power base station is concentrated into a macro base station, but the macro base station has a maximum network service data volume threshold value, and the macro base station cannot process the service data exceeding the threshold value; when the low power base station in the dormant state in the cell to be optimized is awakened, the macro base station shunts part of service data to the low power base station, but the macro base station cannot be dormant because the macro base station provides wide coverage of the network, so that the network service data volume of the macro base station cannot be shunted to the low power base station. In addition, when the low power base station in the working state in the cell to be optimized sleeps, the network service data volume of the low power base station is concentrated into the macro base station, the macro base station processes the network service data volume transferred by the low power base station to generate additional power consumption, and the sum of the power consumption and the current output power consumption of the macro base station should not exceed the maximum power consumption threshold of the macro base station. In general, the base station to be dormant or the base station to be awakened selected by the processing module 21 needs to simultaneously satisfy that the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, and the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency; and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than the maximum network service data volume threshold value of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold value of the macro base station. When the low power base station selected by the processing module 21 meets the above conditions, the selected low power base station in the working state may be used as the base station to be dormant, and the selected low power base station in the dormant state may be used as the base station to be wakened.

It should be noted that, before the low power base station in the dormant state in the cell to be optimized is awakened, the amount of network traffic data and power consumption that can be processed by the low power base station in the dormant state can be calculated by the processing module 21 according to the maximum available wireless resource and output power of the low power base station, but the actual amount of network traffic data and actual power consumption that are processed by the low power base station after the awakening may not be equal to the amount of network traffic data and power consumption that can be processed by the macro station after the awakening of the low power base station, so that the processing module 21 can only estimate the second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after the low power base station in the dormant state is awakened, and accordingly, the amount of network traffic data and power consumption of the macro base station.

Finally, the sending module 22 needs to send a notification message to the to-be-awakened base station of the to-be-dormant base station selected by the processing module 21 to notify the to-be-dormant base station of dormancy and to awaken the to-be-awakened base station.

Because the base station to be dormant and the base station to be wakened selected by the processing module 21 satisfy that the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, and the second network energy efficiency corresponding to the base station to be wakened is greater than the initial network energy efficiency, after the base station to be dormant is dormant and the base station to be wakened is wakened, the network efficiency of the cell to be optimized is greater than the initial network efficiency, and finally, the optimization of the cell to be optimized is realized.

In the network energy efficiency optimization device provided in this embodiment, initial network energy efficiency of a cell to be optimized is determined, and after each low power base station in a working state in the cell to be optimized is put into sleep, a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state is calculated in sequence; sequentially estimating second network energy efficiency of the cell to be optimized corresponding to each low-power base station in a dormant state after awakening each low-power base station in the cell to be optimized, and finally determining the base station to be dormant and the base station to be awakened in the cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is greater than zero and less than the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station, and finally informing the base station to be dormant and the base station to be awakened to be awaken, therefore, the network energy efficiency of the cell to be optimized is improved, and the network energy efficiency optimization with the cell as the granularity is realized.

Further, in the embodiment shown in fig. 2, the processing module 21 is further configured to, before determining the base station to be dormant and the base station to be wakened in the cell to be optimized, use a low-power base station in a working state, where a corresponding first network energy efficiency is greater than the initial network energy efficiency, as an optional base station to be dormant in the cell to be optimized; taking the corresponding low-power base station in the dormant state with the second network energy efficiency greater than the initial network energy efficiency as the optional base station to be awakened in the cell to be optimized; and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold of the macro base station.

That is, the processing module 21 divides into two steps when determining the base station to be dormant and the base station to be woken up in the cell to be optimized. Firstly, a processing module 21 calculates a corresponding first network energy efficiency when a low-power base station in a working state in a cell to be optimized is dormant, and takes the low-power base station of which the corresponding first network energy efficiency is greater than the initial network energy efficiency of the cell to be optimized as an optional base station to be dormant; the processing module 21 calculates a corresponding second network energy efficiency when the low power base station in the dormant state in the cell to be optimized is awakened, and takes the low power base station with the corresponding second network energy efficiency being greater than the initial network energy efficiency of the cell to be optimized as an optional base station to be awakened. Then, the processing module 21 selects a base station to be dormant from the base stations to be dormant, and selects a base station to be awakened from the base stations to be awakened, so that the base stations to be dormant and the base stations to be awakened satisfy the following conditions: when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than or equal to the maximum network service data volume threshold value of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold value of the macro base station.

Specifically, the processing module 21 may select a base station to be dormant from the base stations to be dormant, and select a base station to be wakened from the base stations to be wakened by the following method: the processing module 21 is specifically configured to calculate whether the network traffic data volume of the macro base station is greater than a maximum network traffic data volume threshold of the macro base station after all the optional dormant base stations in the cell to be optimized are dormant, and whether the power consumption of the macro base station is greater than a maximum power consumption threshold of the macro base station, if yes, the macro base station sets the optional dormant base station with the lowest network energy efficiency in the cell to be optimized as a dormant prohibiting base station, and then continues to calculate whether the network traffic data volume of the macro base station is greater than the maximum network traffic data volume threshold of the macro base station after all the optional dormant base stations in the cell to be optimized are dormant, and whether the power consumption of the macro base station is greater than the maximum power consumption threshold of the macro base station until the network traffic data volume of the macro base station is less than or equal to the maximum network traffic data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station; taking the rest optional base stations to be dormant as the base stations to be dormant; estimating whether the network service data volume of the macro base station is less than or equal to zero after all the selectable base stations to be awakened in the cell to be optimized are awakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed by all the optional base stations to be wakened after wakening, if so, the macro base station sets the optional base station to be wakened with the lowest energy efficiency of the second network in the cell to be optimized as the wakening forbidding base station, continuing to estimate whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the reduced power consumption of the macro base station is less than or equal to the power consumed after all the optional base stations to be awakened are awakened until the network service data volume of the macro base station is greater than zero, the power consumption reduced by the macro base station is larger than the power consumed by all the selectable base stations to be awakened after awakening; and taking the rest optional base stations to be awakened as the base stations to be awakened.

The mechanism for the processing module 21 to select the base station to be dormant and the base station to be woken up is described in detail in a specific embodiment.

If a cell to be optimized in a macro base station comprises N low-power base stations, the initial network energy value of the cell to be optimized is as follows:

therein, EE_usualRepresenting the initial network energy efficiency of the cell to be optimized, C₀Representing the initial network traffic volume, P, of the macro base station₀Denotes the initial power consumption of the macro base station, C_iRepresents the initial network traffic data volume, P, of the ith low power base station_iIndicating the initial power consumption of the ith low power base station.

The processing module 21 is specifically configured to sequentially calculate, by using the following formula, after each low power base station in the working state in the cell to be optimized is dormant, a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state:

wherein EE_{sleep_j}Indicating that the first network energy efficiency of the cell to be optimized after the jth low-power base station in the working state is dormant,

The processing module 21 is specifically configured to sequentially estimate, by using the following formula, a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the awake state after each low-power base station in the dormant state in the cell to be optimized is woken up:

wherein EE_{wakeup_j}Indicating that the second network energy efficiency of the cell to be optimized after waking up the jth low-power base station in the sleep state,

For the low-power base station in the working state in the cell to be optimized, EE can be sequentially judged_usualAnd EE_{sleep_j}Size of (E), if EE_{sleep_j}＞EE_usualIf the network energy efficiency is larger than the initial network energy efficiency, the jth low-power base station in the working state is set as the optional base station to be dormant. If EE_{sleep_j}≤EE_usualIf the network energy efficiency is not higher than the initial network energy efficiency, the low-power base station in the working state is set as a sleep forbidden base station. And after all the low-power base stations in the working state in the cell to be optimized are judged, all the selectable base stations to be dormant in the cell to be optimized can be obtained. Then, let P₀ ^maxIs the maximum power consumption threshold of the macro base station,

for the maximum network service data volume threshold of the macro base station, judging whether the network service data volume of the macro base station is greater than that of the cell to be optimized after all the optional base stations to be dormant are dormant

And whether the power consumption of the macro base station is greater than P₀ ^max. The specific judgment method can judge whether the sum of the network service data volume of all the optional base stations to be dormant in the cell to be optimized is larger than the sum of the network service data volume of all the optional base stations to be dormant in the cell to be optimized

For the residual network service data capacity of the macro base station, the sum of the network service data volumes of all the optional base stations to be dormant in the optimized cell is larger than

After all the optional base stations to be dormant are dormant, the network service data volume of the macro base station is greater than that of the base stations to be dormant

If there are two determinationsIf one is true, it means that the macro base station cannot bear the network service data volume of all the optional base stations to be dormant, and at this time, the macro base station needs to associate the corresponding EE with the corresponding EE_{sleep_j}And the smallest optional base station to be dormant is the base station to be forbidden to be dormant, and then the judgment is carried out again. Until all the optional base stations to be dormant are dormant in the cell to be optimized, the network service data volume of the macro base station is less than or equal to

And the power consumption of the macro base station is less than or equal to

The optional base station to be dormant is the base station to be dormant determined to be dormant.

For the low-power base station in the dormant state in the cell to be optimized, EE can be sequentially judged_usualAnd EE_{wakeup_j}If EE_{wakeup_j}＞EE_usualIf the energy efficiency of the second network corresponding to the jth low-power base station in the dormant state is greater than the initial energy efficiency of the first network, the jth low-power base station in the dormant state is set as the optional base station to be woken up. If EE_{wakeup_j}≤EE_usualIf the network energy efficiency is not higher than the initial network energy efficiency, the low-power base station in the sleep state is set as the wakening forbidden base station. And after all the low-power base stations in the dormant state in the cell to be optimized are judged, all the selectable base stations to be awakened in the cell to be optimized can be obtained. Then, for the cell to be optimized, whether the network service data volume of the macro base station is less than or equal to 0 after all the optional base stations to be wakened are wakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed after all the optional base stations to be wakened are judged. If one of the two determinations is true, it means that the macro base station cannot wake up all the optional base stations to be waken up, and at this time, the macro base station needs to wake up the corresponding EE_{wakeup_j}Minimum optional to wake upAnd the base station is listed as a forbidden awakening base station, and then the judgment is carried out again. And awakening all the optional base stations to be awakened until the network service data volume of the macro base station is larger than zero in the cell to be optimized, and reducing the power consumption of the macro base station to be larger than the power consumed by all the optional base stations to be awakened after awakening. The optional base station to be wakened at this time is the base station to be wakened determined to be wakened.

It should be noted that, in the above determination process, if there are no to-be-dormant base stations and no to-be-awakened base stations that satisfy the conditions after all the low-power base stations of the to-be-optimized cell are determined, the states of all the low-power base stations in the to-be-optimized cell will be kept unchanged.

Fig. 3 is a flowchart of a first embodiment of a network energy efficiency optimization method provided in an embodiment of the present invention, and as shown in fig. 3, the method in this embodiment includes:

step S301, the macro base station determines the initial network energy efficiency of the cell to be optimized, wherein the cell to be optimized comprises at least one cell served by the macro base station.

Specifically, the network energy efficiency optimization method provided by this embodiment is applied to any heterogeneous network and executed by a macro base station in the network.

In order to optimize the network energy efficiency of the cell to be optimized, the macro base station first needs to determine the initial network energy efficiency of the cell to be optimized. The cell to be optimized may be at least one cell served by the macro base station, and the macro base station may perform network energy efficiency optimization on only one cell served by the macro base station, or may perform network energy efficiency optimization on all cells served by the macro base station in a unified manner. Before network energy efficiency optimization is carried out on a cell to be optimized, a network energy efficiency optimization device needs to determine an optimization basis, so that a macro base station needs to determine the initial network energy efficiency of the cell to be optimized, and the initial network energy efficiency of the cell to be optimized is the network energy efficiency without network energy efficiency optimization. The macro base station may determine the initial network energy efficiency of the cell to be optimized by any method, for example, by measuring network traffic data volume and power consumption of the macro base station and each low power base station in the cell to be optimized. Another alternative method is: the macro base station can receive the network service data volume and the power consumption sent by each low-power base station in the cell to be optimized, and then the macro base station obtains the network service data volume and the power consumption of the macro base station, so that the macro base station can determine the initial network energy efficiency of the cell to be optimized.

Step S302, the macro base station sequentially calculates the first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state after each low power base station in the working state in the cell to be optimized is dormant.

Step S303, the macro base station sequentially estimates a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after awakening each low power base station in the dormant state in the cell to be optimized.

Specifically, in a cell to be optimized, after sleeping a low power base station in a working state or waking up the low power base station in the sleeping state, network data amount and power consumption in the macro base station and other low power base stations in the cell to be optimized may both change, and therefore, the macro base station needs to sequentially calculate a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state after sleeping each low power base station in the cell to be optimized in the working state; the macro base station further needs to sequentially estimate a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after waking up each low power base station in the dormant state in the cell to be optimized.

Step S304, the macro base station determines a to-be-dormant base station and a to-be-awakened base station in the to-be-optimized cell, wherein a first network energy efficiency corresponding to the to-be-dormant base station is greater than an initial network energy efficiency, a second network energy efficiency corresponding to the to-be-awakened base station is greater than the initial network energy efficiency, and after the to-be-dormant base station is dormant and the to-be-awakened base station is awakened, a network service data volume of the macro base station is greater than zero and less than a maximum network service data volume threshold of the macro base station, and a power consumption of the macro base station is less than or.

Specifically, after calculating that each low-power base station in the working state in the cell to be optimized is dormant or each low-power base station in the dormant state is awakened, the network energy efficiency of the whole cell to be optimized, that is, the first network energy efficiency and the second network energy efficiency. The macro base station determines a base station to be dormant needing to be dormant and a base station to be awakened needing to be awakened according to the relationship between the first network energy efficiency, the second network energy efficiency and the initial network energy efficiency, when the first network energy efficiency or the second network energy efficiency corresponding to the low power base station is greater than the initial network energy efficiency, the network energy efficiency of a cell to be optimized is improved after the low power base station is dormant or awakened, and the low power base station is the low power base station which can be dormant or awakened.

Further, since the maximum processing capability and the maximum power consumption of the network service data of the macro base station or the low power base station are both limited, after comparing the first network energy efficiency or the second network energy efficiency with the initial network energy efficiency, the macro base station needs to determine whether the network service data volume of the macro base station is greater than zero and less than the maximum network service data volume threshold of the macro base station and whether the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station after the base station to be dormant is dormant and the base station to be awakened. When a low power base station in a working state in a cell to be optimized is dormant, network service data volume of the low power base station is concentrated into a macro base station, but the macro base station has a maximum network service data volume threshold value, and the macro base station cannot process the service data exceeding the threshold value; when the low power base station in the dormant state in the cell to be optimized is awakened, the macro base station shunts part of service data to the low power base station, but the macro base station cannot be dormant because the macro base station provides wide coverage of the network, so that the network service data volume of the macro base station cannot be shunted to the low power base station. In addition, when the low power base station in the working state in the cell to be optimized sleeps, the network service data volume of the low power base station is concentrated into the macro base station, the macro base station processes the network service data volume transferred by the low power base station to generate additional power consumption, and the sum of the power consumption and the current output power consumption of the macro base station should not exceed the maximum power consumption threshold of the macro base station. In general, the base station to be dormant and the base station to be wakened selected by the processing module 21 need to simultaneously satisfy that the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, and the second network energy efficiency corresponding to the base station to be wakened is greater than the initial network energy efficiency; and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than the maximum network service data volume threshold value of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold value of the macro base station. When the low-power base station selected by the macro base station meets the conditions, the selected low-power base station in the working state can be used as the base station to be dormant, and the selected low-power base station in the dormant state can be used as the base station to be awakened.

It should be noted that, before the low power base station in the dormant state in the cell to be optimized is awakened, the amount of network traffic data and power consumption that can be processed by the low power base station in the dormant state can only be calculated by the macro base station according to the maximum available wireless resources and output power of the low power base station, but the actual amount of network traffic data and actual power consumption that are processed by the low power base station after being awakened may not be equal to those calculated by the macro station. Therefore, the macro base station can only estimate the second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after the low power base station in the dormant state is awakened, and accordingly, the network traffic data volume and the power consumption of the macro base station.

Step S305, the macro base station notifies the base station to be dormant to sleep and the base station to be waken up to wake up.

Specifically, the macro base station needs to send a notification message to the to-be-awakened base station of the determined to-be-dormant base station, so as to notify the to-be-dormant base station of dormancy and to awaken the to-be-awakened base station.

The base station to be dormant and the base station to be awakened selected by the macro base station meet the condition that the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, and the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, so that after the base station to be dormant is dormant and the base station to be awakened is awakened, the network efficiency of the cell to be optimized is greater than the initial network efficiency, and finally, the optimization of the cell to be optimized is realized.

In the network energy efficiency optimization method provided in this embodiment, initial network energy efficiency of a cell to be optimized is determined, and after each low power base station in a working state in the cell to be optimized is dormant, a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state is calculated in sequence; sequentially estimating second network energy efficiency of the cell to be optimized corresponding to each low-power base station in a dormant state after awakening each low-power base station in the cell to be optimized, and finally determining the base station to be dormant and the base station to be awakened in the cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is greater than zero and less than the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station, and finally informing the base station to be dormant and the base station to be awakened to be awaken, therefore, the network energy efficiency of the cell to be optimized is improved, and the network energy efficiency optimization with the cell as the granularity is realized.

Fig. 4 is a flowchart of a second embodiment of the network energy efficiency optimization method provided in the embodiment of the present invention, and as shown in fig. 4, the method in this embodiment includes:

step S401, the macro base station receives the network service data volume and power consumption sent by each low power base station in the cell to be optimized.

Step S402, the macro base station determines the initial network energy efficiency of the cell to be optimized according to the network service data volume and the power consumption of the macro base station and the network service data volume and the power consumption sent by each low power base station in the cell to be optimized.

Step S403, the macro base station sequentially calculates a first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state after each low power base station in the working state in the cell to be optimized is dormant.

Step S404, the macro base station sequentially estimates a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after awakening each low power base station in the dormant state in the cell to be optimized.

Step S405, the macro base station takes the corresponding low power base station in the working state with the first network energy efficiency larger than the initial network energy efficiency as the optional base station to be dormant in the cell to be optimized.

Step S406, the macro base station takes the corresponding low power base station in the dormant state with the second network energy efficiency larger than the initial network energy efficiency as the optional base station to be awakened in the cell to be optimized.

Step S407, after the macro base station calculates that all the optional base stations to be dormant in the cell to be optimized are dormant, whether the network service data volume of the macro base station is larger than the maximum network service data volume threshold value of the macro base station, and whether the power consumption of the macro base station is larger than the maximum power consumption threshold value of the macro base station.

Step S408, the macro base station estimates whether the network service data volume of the macro base station is less than or equal to zero after all the selectable base stations to be waken in the cell to be optimized are waken up, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed after all the selectable base stations to be waken up are wakened up.

Step S409, the macro base station sets the optional base station to be dormant with the lowest energy efficiency of the first network in the cell to be optimized as a base station to be dormant forbidden.

Step S410, the macro base station sets the optional base station to be awakened with the lowest energy efficiency of the second network in the cell to be optimized as the base station to be awakened.

Step S411, when the network service data volume of the macro base station is less than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station, the macro base station takes the remaining optional base stations to be dormant as the base stations to be dormant.

Step S412, when the network service data volume of the macro base station is larger than zero and the power consumption reduced by the macro base station is larger than the power consumed after all the selectable base stations to be wakened are wakened, the macro base station takes the remaining selectable base stations to be wakened as the base stations to be wakened.

Step S413, the macro base station notifies the base station to be dormant to sleep and the base station to be waken up to wake up.

Further, in the embodiment shown in fig. 3 or fig. 4, in step S302 or step S403, after the macro base station sequentially calculates to put each low power base station in a working state in the cell to be optimized into sleep, the first network energy efficiency of the cell to be optimized corresponding to each low power base station in the working state specifically includes:

indicates that the jth is in the working stateNetwork traffic data volume of the macro base station after the low power base station in the state is dormant,

Further, in the embodiment shown in fig. 3 or fig. 4, the step S303 or step S404 of the macro base station sequentially estimating, after waking up each low power base station in a dormant state in the cell to be optimized, a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state, including:

low power to indicate that jth is to be put in sleep statePower consumption of the macro base station after wake-up of the base station, C_i ^wjRepresents the network traffic data volume, P, of the ith low power base station after the jth low power base station in the sleep state is awakened_i ^wjThe power consumption of the ith low power base station after the jth low power base station in the sleep state is awakened is shown.

It should be noted that the sending module 22 in the embodiment of the present invention may correspond to a sender of a macro base station, and may also correspond to a transceiver of the macro base station. The receiving module 23 may correspond to a receiver of a macro base station, or may correspond to a transceiver of the macro base station. The Processing module 21 may correspond to a processor of the macro base station, where the processor may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits that implement the embodiments of the present invention. The macro base station may further include a memory, where the memory is configured to store instruction codes, and the processor invokes the instruction codes of the memory to control the processing module 21, the sending module 22, and the receiving module 23 in the embodiment of the present invention to perform the above operations.

Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: it is also possible to modify the solutions described in the previous embodiments or to substitute some or all of them with equivalents. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A network energy efficiency optimization apparatus, comprising:

the system comprises a processing module, a processing module and a processing module, wherein the processing module is used for determining the initial network energy efficiency of a cell to be optimized, and the cell to be optimized comprises at least one cell served by a macro base station; sequentially calculating the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the working state after each low-power base station in the working state in the cell to be optimized is dormant; sequentially estimating a second network energy efficiency of the cell to be optimized corresponding to each low-power base station in the dormant state after each low-power base station in the dormant state in the cell to be optimized is awakened; determining a base station to be dormant and a base station to be awakened in the cell to be optimized, wherein a first network energy efficiency corresponding to the base station to be dormant is greater than an initial network energy efficiency, a second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, a network service data volume of the macro base station is greater than zero and less than a maximum network service data volume threshold of the macro base station, and a power consumption of the macro base station is less than or equal to a maximum power consumption threshold of the macro base station; the network energy efficiency is determined according to the network service data volume and the power consumption of the macro base station and the cell to be optimized;

2. The network energy efficiency optimization device according to claim 1, further comprising:

3. The device according to claim 1 or 2, wherein the processing module is further configured to, before determining the to-be-dormant base station and the to-be-awakened base station in the to-be-optimized cell, use a low-power base station in an operating state, where a corresponding first network energy efficiency is greater than the initial network energy efficiency, as the optional to-be-dormant base station in the to-be-optimized cell; taking the corresponding low-power base station in the dormant state with the second network energy efficiency greater than the initial network energy efficiency as the optional base station to be awakened in the cell to be optimized; and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is larger than zero and smaller than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is smaller than or equal to the maximum power consumption threshold of the macro base station.

4. The device according to claim 3, wherein the processing module is specifically configured to calculate whether the network traffic data volume of the macro base station is greater than a maximum network traffic data volume threshold of the macro base station and whether the power consumption of the macro base station is greater than a maximum power consumption threshold of the macro base station after all the optional dormant base stations in the cell to be optimized are dormant, if so, the macro base station sets the first optional dormant base station with the lowest network energy efficiency in the cell to be optimized as the dormant forbidden base station, and then continues to calculate whether the network traffic data volume of the macro base station is greater than the maximum network traffic data volume threshold of the macro base station and whether the power consumption of the macro base station is greater than the maximum power consumption threshold of the macro base station after all the optional dormant base stations in the cell to be optimized are dormant, until the network service data volume of the macro base station is less than or equal to the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station; taking the rest optional base stations to be dormant as the base stations to be dormant; estimating whether the network service data volume of the macro base station is less than or equal to zero after all the selectable base stations to be awakened in the cell to be optimized are awakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed by all the optional base stations to be wakened after wakening, if so, the macro base station sets the optional base station to be wakened with the lowest energy efficiency of the second network in the cell to be optimized as the wakening forbidding base station, continuing to estimate whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the reduced power consumption of the macro base station is less than or equal to the power consumed after all the optional base stations to be awakened are awakened until the network service data volume of the macro base station is greater than zero, the power consumption reduced by the macro base station is larger than the power consumed by all the selectable base stations to be awakened after awakening; and taking the rest optional base stations to be awakened as the base stations to be awakened.

5. The device according to claim 1, wherein the processing module is specifically configured to calculate, in sequence, the first network energy efficiency of the cell to be optimized corresponding to each low-power base station in the operating state after each low-power base station in the operating state in the cell to be optimized is dormant according to the following formula:

6. The device according to claim 1, wherein the processing module is specifically configured to sequentially estimate, by using the following formula, a second network energy efficiency of the cell to be optimized corresponding to each low power base station in the awake state after each low power base station in the cell to be optimized in the sleep state is woken up:

indicating the power consumption of the macro base station after waking up the jth low power base station in the sleep state,

represents the network traffic data volume, P, of the ith low power base station after the jth low power base station in the sleep state is awakened_i ^wjThe power consumption of the ith low power base station after the jth low power base station in the sleep state is awakened is shown.

7. A network energy efficiency optimization method is characterized by comprising the following steps:

the macro base station determines a base station to be dormant and a base station to be awakened in the cell to be optimized, wherein the first network energy efficiency corresponding to the base station to be dormant is greater than the initial network energy efficiency, the second network energy efficiency corresponding to the base station to be awakened is greater than the initial network energy efficiency, and when the base station to be dormant is dormant and the base station to be awakened is awakened, the network service data volume of the macro base station is greater than zero and less than the maximum network service data volume threshold of the macro base station, and the power consumption of the macro base station is less than or equal to the maximum power consumption threshold of the macro base station; the network energy efficiency is determined according to the network service data volume and the power consumption of the macro base station and the cell to be optimized;

8. The method of claim 7, wherein the macro base station determining the initial network energy efficiency of the cell to be optimized comprises:

9. The method according to claim 7 or 8, wherein before the macro base station determines the base station to be dormant and the base station to be woken up in the cell to be optimized, the method further comprises:

10. The method of claim 9, wherein the macro base station selects the base station to be dormant in the cell to be optimized from the base stations to be dormant that are selectable in the cell to be optimized, and wherein the selecting comprises:

after the macro base station calculates that all the optional base stations to be dormant in the cell to be optimized are dormant, whether the network service data volume of the macro base station is larger than the maximum network service data volume threshold of the macro base station or not and whether the power consumption of the macro base station is larger than the maximum power consumption threshold of the macro base station or not, if yes, the macro base station sets the corresponding optional base station to be dormant with the lowest network energy efficiency in the cell to be optimized as a dormancy prohibiting base station, and then continuously calculates that after all the optional base stations to be dormant in the cell to be optimized are dormant, whether the network service data volume of the macro base station is larger than the maximum network service data volume threshold of the macro base station or not and whether the power consumption of the macro base station is larger than the maximum power consumption threshold of the macro base station or not until the network service data volume of the macro base station is smaller than or, and the power consumption of the macro base station is less than or equal to the maximum power consumption of the macro base station;

the macro base station estimates whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the power consumption reduced by the macro base station is less than or equal to the power consumed by all the optional base stations to be wakened after wakening, if so, the macro base station sets the optional base station to be wakened with the lowest energy efficiency of the second network in the cell to be optimized as the wakening forbidding base station, continuing to estimate whether the network service data volume of the macro base station is less than or equal to zero after all the optional base stations to be awakened in the cell to be optimized are awakened, and whether the reduced power consumption of the macro base station is less than or equal to the power consumed after all the optional base stations to be awakened are awakened until the network service data volume of the macro base station is greater than zero, the power consumption reduced by the macro base station is larger than the power consumed by all the selectable base stations to be awakened after awakening;

11. The method according to claim 7, wherein the macro base station sequentially calculates the first network energy efficiency of the cell to be optimized corresponding to each low power base station in the operating state after sleeping each low power base station in the operating state in the cell to be optimized, and the method comprises:

12. The method of claim 7, wherein the macro base station sequentially estimating the second network energy efficiency of the cell to be optimized corresponding to each low power base station in the dormant state after waking up each low power base station in the dormant state in the cell to be optimized comprises: