CN114430559A - 5G base station intelligent turn-off method based on stepped evaluation - Google Patents

5G base station intelligent turn-off method based on stepped evaluation Download PDF

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CN114430559A
CN114430559A CN202111396596.8A CN202111396596A CN114430559A CN 114430559 A CN114430559 A CN 114430559A CN 202111396596 A CN202111396596 A CN 202111396596A CN 114430559 A CN114430559 A CN 114430559A
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CN114430559B (en
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肖清华
朱东照
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Huaxin Consulting Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/06—Testing, supervising or monitoring using simulated traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention discloses a 5G base station intelligent turn-off method based on step type evaluation, which solves the problem of overlarge energy consumption of equipment in a 5G network in the prior art and optimizes and adjusts the prior method. The method comprises the following steps: step 1: accounting resource block utility factors; step 2: load-based stepwise assessment: and step 3: turning off the candidate set preprocessing; and 4, step 4: and intelligently turning off. The invention constructs a stepped evaluation mechanism for the load of the 5G cell, expresses the use efficiency of the resource block by using the utility factor of the physical resource block, and accumulatively screens out the shutdown candidate base stations meeting the conditions aiming at the differentiated load, thereby conditionally implementing batch migration according to the capacity of the adjacent cell set capable of bearing the load, realizing the shutdown of the low-value and low-load base stations, and further achieving the aim of optimizing energy consumption.

Description

5G base station intelligent turn-off method based on stepped evaluation
Technical Field
The invention relates to the technical field of 5G, in particular to a 5G base station intelligent turn-off method based on step-type evaluation.
Background
With the popularization of intelligent terminals and the increasing communication demands of people, the 4G network cannot meet the pursuit of people for extremely user experience in aspects of system capacity, speed, time delay and the like. In particular, the demand for 5G communication is extremely urgent in the aspects of automatic driving, industrial control, telemedicine, augmented reality, cloud computing and the like. However, the problem is that the energy consumption of the current 5G equipment is too large compared with that of 4G equipment, and in the later 5G network operation and maintenance process, it is very necessary to explore how to effectively save energy and reduce carbon emission.
Therefore, the applicant discloses 2021.7.26 a base station intelligent turn-off method GSIC related to 5G, with the notice number of CN113301599B, and turns off the pure Non-GBR service therein and the service base stations with poor quality such as time delay and packet loss rate through service differentiation, thereby achieving the purpose of energy saving. However, GSIC still has some problems, one of which is that the actual traffic is basically mixed traffic, and pure Non-GBR traffic is rare; secondly, the resource occupied by different services is different, and the services with high resource utilization efficiency can not be screened out on the GSIC only through the evaluation of time delay and packet loss rate; thirdly, when transferring, it is easy to fail only by the point-to-point transfer method.
Disclosure of Invention
The invention aims to solve the problem of overlarge energy consumption of equipment in a 5G network in the prior art and optimize and adjust the prior method. The method comprises the steps of starting from cell load, sequentially screening cells needing to be shut down by setting a step-type threshold evaluation value and combining the use efficiency of physical resource blocks, then implementing batch transfer, and effectively improving the success rate of shut down.
In order to achieve the purpose, the invention adopts the following technical scheme:
A5G base station intelligent turn-off method based on step-type evaluation comprises the following steps:
step one, resource block utility factor accounting: calculating the allocated physical resource blocks of each base station, and calculating the utility factors of the resource blocks of all the base stations;
step two, stepwise evaluation based on load: bringing the corresponding base station into a turn-off candidate set according to the load threshold and the resource utility factor threshold;
step three, turning off the preprocessing of the candidate set: calculating a shutdown neighbor set according to the first base station of the shutdown candidate set and all neighbor sets, and calculating the sum of load spaces of all base stations in the shutdown neighbor set;
step four, intelligent turn-off: and C, calculating the switch-off neighbor set of the base station of the switch-off candidate set, updating the load according to the load transferred from the target switch-off base station on the switch-off candidate set to the switch-off neighbor set, executing switch-off and updating the switch-off candidate set, and returning to the third step until the switch-off candidate set is empty.
Preferably, the method involves n base stations gNBtar＝{gNB1，gNB2，…，gNBnTotal amount of physical resource blocks { Prt }1，Prt2，…，PrtnAnd its corresponding load Cld1，Cld2，…，CldnAnd cell throughput { Thr }1，Thr2，…，Thrn}。
Preferably, the step one comprises the following steps:
(1-1): for gNBtar＝{gNB1，gNB2，…，gNBnEach base station gNB in the structureiCalculating the corresponding allocated physical resource block number Aloci＝ceil(Prti*Cldi)；
Wherein ceil (·) represents a ceiling function; calculating physical resource block utility factor Efti＝Thri/Aloci；
(1-2): calculating the sum of the utility factors of the physical resource blocks of all the base stations
Figure BDA0003370540530000021
Preferably, the second step comprises the following steps:
(2-1): setting a load assessment Low threshold TCldlowThreshold TCld in load assessmentmidAnd a load assessment high threshold TCldhigh(ii) a For each base station gNBiIf its load satisfies the condition Cldi≤TCldlowThen the base station gNB is setiIncorporation into shutdown candidate set, gNBtclose＝{gNBi}；
(2-2): setting resource block utility factor low threshold TEftlowAnd resource block utility factor high threshold TEfthigh(ii) a Satisfying the condition TCld for a loadlow＜Cldj≤TCldmidScreening all base stations in which the resource block utility factor meets the condition Eftj≤SEft*TEftlowBase station of (g NB) { g NBjIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBj}；
(2-3): satisfying the condition TCld for a loadmid＜Cldk≤TCldhighScreening all base stations in which the resource block utility factor meets the condition Eftk≤SEft*TEfthighBase station of (g NB) { g NBkIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBk}。
Preferably, the third step comprises the following steps:
(3-1): setting a capacity threshold VCelthFor turn-off candidate set gNBtcloseFirst base station gNB int，t∈[1，n]And all neighbor sets NGS thereoftAnd calculating the turn-off neighbor set TNGSt＝NGSt-NGSt∩gNBtclose；
(3-2): for each base station in TNGSt
Figure BDA0003370540530000031
Computing load space
Figure BDA0003370540530000032
Where max (·) represents a maximum function; calculating the sum of the load spaces of all base stations in TNGSt
Figure BDA0003370540530000033
Preferably, the fourth step comprises the following steps:
(4-1): gNB for switch-off candidate settcloseBase station gNB intIf the condition CLd is satisfiedt＞SSCldtThen move the base station out of the gNBtcloseAnd cancel the gNB pair at this timetTurn-off behavior of, gNBtclose＝gNBtclose-{gNBt}；
(4-2): otherwise, calculating the turn-off neighbor set
Figure BDA0003370540530000034
Wherein, the base station
Figure BDA0003370540530000035
Satisfies the conditions
Figure BDA0003370540530000036
(4-3): accounting for target off base station gNBtTo
Figure BDA0003370540530000037
Amount of upper transfer
Figure BDA0003370540530000038
Updating
Figure BDA0003370540530000039
Load(s)
Figure BDA00033705405300000310
(4-4): to-be-turned-off neighbor cell set TNZStAll the neighbor operations in the group are executed to the gNBtTurn off, update gNBtclose＝gNBtclose-{gNBt}; step three and step four are circulated until gNBtcloseIs empty.
Therefore, the invention has the following beneficial effects:
the invention can establish a stepped load evaluation mechanism and screen out a candidate set of the turn-off base station by combining with the utility factor of the resource block; according to the load space of the neighbor cell of the candidate base station, the user is migrated from the candidate base station in a batch transfer mode, the turn-off probability is increased, and the low-value 5G base station can be turned off on the premise of ensuring the satisfaction degree of the user, so that the energy consumption of the 5G network system is optimized.
Drawings
FIG. 1 is a flow chart of the present invention.
Fig. 2 is a detailed flow chart of the present invention.
FIG. 3 is a diagram of: example 3 power consumption comparison of a partial RU switched off at a 5G base station.
Fig. 4 is a graph comparing power consumption of the off part RU at a plurality of 5G base stations in embodiment 3.
Detailed Description
The invention is further described with reference to the following detailed description and accompanying drawings.
Example 1:
the embodiment provides a 5G base station intelligent turn-off method based on step-shaped evaluation, which comprises n base stations gNBtar＝{gNB1，gNB2，…，gNBnTotal amount of physical resource blocks { Prt }1，Prt2，…，PrtnAnd its corresponding load Cld1，Cld2，…，CldnAnd cell throughput { Thr }1，Thr2，…，Thrn}；
As shown in fig. 1, the following steps are taken:
step one, resource block utility factor accounting: calculating the allocated physical resource blocks of each base station, and calculating the utility factors of the resource blocks of all the base stations;
step two, stepwise evaluation based on load: bringing the corresponding base station into a turn-off candidate set according to the load threshold and the resource utility factor threshold;
step three, turning off the preprocessing of the candidate set: calculating a shutdown neighbor set according to the first base station of the shutdown candidate set and all neighbor sets, and calculating the sum of load spaces of all base stations in the shutdown neighbor set;
step four, intelligent turn-off: and C, calculating the switch-off neighbor set of the base station of the switch-off candidate set, updating the load according to the load transferred from the target switch-off base station on the switch-off candidate set to the switch-off neighbor set, executing switch-off and updating the switch-off candidate set, and returning to the third step until the switch-off candidate set is empty.
Example 2:
the embodiment shown in fig. 2 is a 5G base station intelligent judgment method based on ladder evaluation, and includes n basesStation gNBtar＝{gNB1，gNB2，…，gNBnTotal amount of physical resource blocks { Prt }1，Prt2，…，PrtnAnd its corresponding load Cld1，Cld2，…，CldnAnd cell throughput { Thr }1，Thr2，…，Thrn}；
Step 1: accounting resource block utility factors;
step 1-1: for gNBtar＝{gNB1，gNB2，…，gNBnEach base station gNB in the structureiCalculating the corresponding allocated physical resource block number Aloci＝ceil(Prti*Cldi) (ii) a Wherein ceil (·) represents a ceiling function; calculating physical resource block utility factor Efti＝Thri/Aloci；
Step 1-2: calculating the sum of the utility factors of the physical resource blocks of all the base stations
Figure BDA0003370540530000051
Step 2: a load-based stepwise assessment;
step 2-1: setting a load assessment Low threshold TCldlowThreshold TCld in load assessmentmidAnd a load assessment high threshold TCldhigh(ii) a For each base station gNBiIf its load satisfies the condition Cldi≤TCldlowThen the base station gNB is setiIncorporation into shutdown candidate set, gNBtclose＝{gNBi}；
Step 2-2: setting resource block utility factor low threshold TEftlowAnd resource block utility factor high threshold TEfthigh(ii) a Satisfying the condition TCld for a loadlow＜Cldj≤TCldmidScreening all base stations in which the resource block utility factor meets the condition Eftj≤SEft*TEftlowBase station of (g NB) { g NBjIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBj}；
Step 2-3: satisfying the condition TCld for a loadmid＜Cldk≤TCldhighScreening all base stations in which the resource block utility factor meets the condition Eftk≤SEft*TEfthighBase station of (g NB) { g NBkIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBk}。
And step 3: turning off the candidate set preprocessing;
step 3-1: setting a capacity threshold VCelthFor turn-off candidate set gNBtcloseFirst base station gNB int，t∈[1，n]And all neighbor sets NGS thereoftAnd calculating the turn-off neighbor set TNGSt＝NGSt-NGSt∩gNBtclose；
Step 3-2: for each base station in TNGSt
Figure BDA0003370540530000052
Computing load space
Figure BDA0003370540530000053
Where max (·) represents a maximum function; calculating TNGStSum of load space of all base stations
Figure BDA0003370540530000054
And 4, step 4: intelligently turning off;
step 4-1: gNB for switch-off candidate settcloseBase station gNB intIf the condition CLd is satisfiedt＞SSCldtThen move the base station out of the gNBtcloseAnd cancel the gNB pair at this timetTurn-off behavior of, gNBtclose＝gNBtclose-{gNBt}；
Step 4-2: otherwise, calculating the turn-off neighbor set
Figure BDA0003370540530000055
Wherein, the base station
Figure BDA0003370540530000056
Satisfies the conditions
Figure BDA0003370540530000057
Step 4-3: accounting for target off base station gNBtTo
Figure BDA0003370540530000058
Amount of upper transfer
Figure BDA0003370540530000059
Updating
Figure BDA00033705405300000510
Load(s)
Figure BDA0003370540530000061
Step 4-4: to-be-turned-off neighbor cell set TNZStAll the neighbor operations in the group are executed to the gNBtTurn off, update gNBtclose＝gNBtclose-{gNBt}; step 3 and step 4 are cycled until gNBtcloseIs empty.
Example 3:
the present invention is specifically described below by taking n as an example, where the base station information is shown in table 1:
table 1
Base station Load(s) Throughput (Mbps) Total amount of physical resource blocks
gNB1 0.25 16 273
gNB2 0.38 10 273
gNB3 0.28 5 273
gNB4 0.14 6 273
gNB5 0.49 25 273
gNB6 0.32 16 273
The basic data is shown in table 2:
table 2
Item Data of
Working frequency (GHz) 2.6
Working bandwidth (MHz) 100
Load assessment low threshold TCldlow 0.15
Threshold TCld in load assessmentmid 0.4
Load assessment high threshold TCldhigh 0.6
Resource block utility factor low threshold TEft low 10％
Resource block utility factor high threshold TEfthigh 20％
Capacity threshold VCelth 70％
Single station basic power consumption (W) 2000
Service power consumption (W) at 50% load for a single station 1500
The example describes a 5G base station intelligent turn-off method based on ladder type evaluation, which includes the following steps: resource block utility factor accounting, based on the stepwise evaluation of the load, turning off the preprocessing of the candidate set and intelligent turning off.
Step 1: accounting resource block utility factors;
step 1-1: for gNBtar＝{gNB1，gNB2，…，gNB6Each base station gNB in the structureiCalculating the corresponding allocated physical resource block number Aloci＝ceil(Prti*Cldi) -69, 104, 77, 39, 134, 88 }; calculating physical resource block utility factor
Figure BDA0003370540530000062
Step 1-2: calculating the sum of the utility factors of the physical resource blocks of all the base stations
Figure BDA0003370540530000063
Step 2: a load-based stepwise assessment;
step 2-1: the load satisfies the condition Cldi≤TCldlowBase station of 0.15 has gNB only4Then the base station gNB is setiIncorporation into shutdown candidate set, gNBtclose＝{gNB4}；
Step 2-2: satisfying the condition TCld for a loadlow＝0.15＜Cldj≤TCldmidAll base stations { gNB ═ 0.41，gNB2，gNB3，gNB6Screening out resource block utility factors meeting the condition Eftj≤SEft*TEftlowBase station 0.09 gNBj}＝{gNB3Is included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBj}＝{gNB3，gNB4}；
Step 2-3: satisfying the condition TCld for a loadmid＜Cldk≤TCldhighAll base stations of (g NB) { g NB }5Its resource block utility factor does not satisfy the condition Eftk≤SEft*TEfthigh0.18, { gNB }k}＝NULL，gNBtclose＝gNBtclose∪{gNBk}＝{gNB3，gNB4}；
And step 3: turning off the candidate set preprocessing;
step 3-1: gNB for switch-off candidate settcloseFirst base station gNB in3And all neighbor sets NGS thereof3＝{gNB1，gNB2，gNB4，gNB5，gNB6And computing and turning off a neighbor cell set TNGS3＝NGS3-NGS3∩gNBtclose＝{gNB1，gNB2，gNB5，gNB6}；
Step 3-2: for each base station in TNGS3
Figure BDA0003370540530000071
Computing load space
Figure BDA0003370540530000072
Calculating the sum of the load spaces of all base stations in TNGS3
Figure BDA0003370540530000073
And 4, step 4: intelligently turning off;
step 4-1: gNB for switch-off candidate settcloseBase station gNB in3Does not satisfy the condition CLdt＝0.28＞SSCldt＝1.36，gNBtclose＝{gNB3，gNB4The retention is unchanged;
step 4-2: computing turn-off neighbor set
Figure BDA0003370540530000074
Step 4-3: accounting for target off base station gNB3To { gNB1，gNB2，gNB5，gNB6Amount of load transferred on
Figure BDA0003370540530000075
Updating
Figure BDA0003370540530000076
Load(s)
Figure BDA0003370540530000077
Step 4-4: to-be-turned-off neighbor cell set TNZS3All the neighbor operations in the group are executed to the gNB3Off of, gNBtclose＝gNBtclose-{gNB3}＝{gNB4Continue to operate the gNB cyclically4；
Completing gNB3After operation, the load of all cells is {0.34, 0.45, 0, 0.14, 0.54, 0.4 }; the following are for gNB4Similar actions of operation:
step 3-1: gNB for switch-off candidate settcloseFirst base station gNB in4All neighbor set NGS thereof4＝{gNB1，gNB2，gNB3，gNB5，gNB6And computing and turning off a neighbor cell set TNGS4＝NGSt-NGSt∩gNBtclose＝{gNB1，gNB2，gNB5，gNB6}；
Step 3-2: for TNGS4＝{gNB1，gNB2，gNB5，gNB6Each base station in
Figure BDA0003370540530000081
Computing load space
Figure BDA0003370540530000082
Calculating the sum of the load spaces of all base stations in TNGS4
Figure BDA0003370540530000083
And 4, step 4: intelligently turning off;
step 4-1: gNB for switch-off candidate settcloseBase station gNB in4Does not satisfy the condition CLdt＝0.14＞SSCld4＝1.08，gNBtclose＝{gNB4The retention is unchanged;
step 4-2: computing turn-off neighbor set
Figure BDA0003370540530000084
Step 4-3: accounting for target off base station gNB4To
Figure BDA0003370540530000088
Amount of upper transfer
Figure BDA0003370540530000085
Updating
Figure BDA0003370540530000086
Load(s)
Figure BDA0003370540530000087
Step 4-4: to-be-turned-off neighbor cell set TNZS4All the neighbor operations in the group are executed to the gNB4Off of, gNBtcloseIf the state is empty, all the shutdown operations are finished;
completing gNB4The load of all cells after operation is {0.39, 0.48, 0, 0, 0.55, 0.44 }.
Carrying out a simulation experiment on the steps:
the inventive SEIC and the previous GSIC method are subjected to MATLAB platform simulation, and base station clusters formed by 6 5G base stations are mutually matched with neighboring cells, and respectively set a certain load, so that part of RU (Radio Unit) or DU (Distributed Unit) of a light-load base station can be intelligently turned off, and the obtained power consumption is shown in fig. 2 to 3.
As shown in fig. 3, in the simulation of a single 5G base station, the SEIC is more sensitive to low load and is also easier to trigger the turn-off measure, so that the power consumption is reduced faster than the GSIC, and after the load is transferred, the RU is turned off, and the total power consumption of the base station is maintained in a relatively stable range.
As shown in fig. 4, when the whole base station cluster is simulated, SEIC similarly turns off the GBR traffic with too low load if its resource fast utility factor is not high, but makes more guaranteed measures for load transfer than GSIC without affecting the customer perception. Therefore, the overall power consumption reduction SEIC of the base station cluster is more obvious than that of the GSIC, and the purposes of energy conservation and emission reduction are more effectively achieved.
The above embodiments are described in detail for the purpose of further illustrating the present invention and should not be construed as limiting the scope of the present invention, and the skilled engineer can make insubstantial modifications and variations of the present invention based on the above disclosure.

Claims (6)

1. A5G base station intelligent turn-off method based on step-type evaluation is characterized by comprising the following steps:
step one, resource block utility factor accounting: calculating the allocated physical resource blocks of each base station, and calculating the utility factors of the resource blocks of all the base stations;
step two, stepwise evaluation based on load: bringing the corresponding base station into a turn-off candidate set according to the load threshold and the resource utility factor threshold;
step three, turning off the preprocessing of the candidate set: calculating a shutdown neighbor set according to the first base station of the shutdown candidate set and all neighbor sets, and calculating the sum of load spaces of all base stations in the shutdown neighbor set;
step four, intelligent turn-off: and C, calculating the switch-off neighbor set of the base station of the switch-off candidate set, updating the load according to the load transferred from the target switch-off base station on the switch-off candidate set to the switch-off neighbor set, executing switch-off and updating the switch-off candidate set, and returning to the third step until the switch-off candidate set is empty.
2. The intelligent shutdown method for 5G base stations based on stepwise evaluation as claimed in claim 1, wherein the method involves n base stations gNBtar＝{gNB1，gNB2，…，gNBnTotal amount of physical resource blocks { Prt }1，Prt2，…，PrtnAnd its corresponding load Cld1，Cld2，…，CldnAnd cell throughput { Thr }1，Thr2，…，Thrn}。
3. The intelligent 5G base station shutdown method based on stepwise evaluation as claimed in claim 1, wherein the first step comprises the following steps
(1-1): for gNBtar＝{gNB1，gNB2，…，gNBnEach base station gNB in the structureiCalculating the corresponding allocated physical resource block number Aloci＝ceil(Prti*Cldi)；
Wherein ceil (·) represents a ceiling function; calculating physical resource block utility factor Efti＝Thri/Aloci；
(1-2): calculating the sum of the utility factors of the physical resource blocks of all the base stations
Figure FDA0003370540520000011
4. The intelligent 5G base station shutdown method based on step-wise evaluation as claimed in claim 1, wherein said second step comprises the steps of:
(2-1): setting a load assessment Low threshold TCldlowThreshold TCld in load assessmentmidAnd a load assessment high threshold TCldhigh(ii) a For each base station gNBiIf its load satisfies the condition Cldi≤TCldlowThen the base station gNB is setiIncorporation into shutdown candidate set, gNBtclose＝{gNBi}；
(2-2): setting resource block utility factor low threshold TEftlowAnd resource block utility factor high threshold TEfthigh(ii) a Satisfying the condition TCld for a loadlow＜Cldj≤TCldmidScreening all base stations in which the resource block utility factor meets the condition Eftj≤SEft*TEftlowBase station of (g NB) { g NBjIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBj}；
(2-3): satisfying the condition TCld for a loadmid＜Cldk≤TCldhighScreening all base stations in which the resource block utility factor meets the condition Eftk≤SEft*TEfthighBase station of (g NB) { g NBkIs included in the shutdown candidate set, i.e., gNBtclose＝gNBtclose∪{gNBk}。
5. The intelligent 5G base station shutdown method based on step-wise evaluation as claimed in claim 1, wherein said step three comprises the steps of:
(3-1): setting a capacity threshold VCelthFor turn-off candidate set gNBtcloseFirst base station gNB int，t∈[1，n]And all neighbor sets NGS thereoftAnd calculating the turn-off neighbor set TNGSt＝NGSt-NGSt∩ gNBtclose；
(3-2): for TNGStEach base station in
Figure FDA0003370540520000021
Computing load space
Figure FDA0003370540520000022
Where max (·) represents a maximum function; calculating TNGStSum of load space of all base stations
Figure FDA0003370540520000031
6. The intelligent 5G base station shutdown method based on step-wise evaluation as claimed in claim 1, wherein said step four comprises the steps of:
(4-1): gNB for switch-off candidate settcloseBase station gNB intIf the condition CLd is satisfiedt＞SSCldtThen move the base station out of the gNBtcloseAnd cancel the gNB pair at this timetTurn-off behavior of, gNBtclose＝gNBtclose-{gNBt}；
(4-2): otherwise, calculating the turn-off neighbor set
Figure FDA0003370540520000032
Wherein, the base station
Figure FDA0003370540520000033
Satisfies the conditions
Figure FDA0003370540520000034
(4-3): accounting for target off base station gNBtTo
Figure FDA0003370540520000035
Amount of upper transfer
Figure FDA0003370540520000036
Updating
Figure FDA0003370540520000037
Load(s)
Figure FDA0003370540520000038
(4-4): to-be-turned-off neighbor cell set TNZStAll the neighbor operations in the group are executed to the gNBtTurn off, update gNBtclose＝gNBtclose-{gNBt}; step three and step four are circulated until gNBtcloseIs empty.
CN202111396596.8A 2021-11-23 2021-11-23 Intelligent 5G base station turn-off method based on step-type evaluation Active CN114430559B (en)

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