CN102625337A - System and method for autonomous energy-saving management of wireless access network - Google Patents

System and method for autonomous energy-saving management of wireless access network Download PDF

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CN102625337A
CN102625337A CN2012100602079A CN201210060207A CN102625337A CN 102625337 A CN102625337 A CN 102625337A CN 2012100602079 A CN2012100602079 A CN 2012100602079A CN 201210060207 A CN201210060207 A CN 201210060207A CN 102625337 A CN102625337 A CN 102625337A
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base station
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CN102625337B (en
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李文璟
邱雪松
喻鹏
王颖
芮兰兰
高志鹏
孟洛明
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Beijing University of Posts and Telecommunications
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Beijing University of Posts and Telecommunications
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    • 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 system and a method for autonomous energy-saving management of a wireless access network, relating to the field of wireless communication. The method comprises the steps of: A, monitoring and collecting network information; B judging whether a current network state meets a trigger condition for autonomous energy-saving management, if so, executing C, or else, executing F; C, selecting base stations to be closed and a compensation base station; D, determining a power adjustment value of the compensation base station; E, adjusting the power of the compensation base station, closing corresponding base stations, performing switching by a control user, and executing A; F, judging whether the current network state meets a recovery condition for the autonomous energy-saving management, if so, executing G, or else, executing A; and G, starting the closed base stations, recovering the power values of all the base stations to a normal states, executing switching by the control user and executing A. According to the system and the method disclosed by the invention, the wireless access network is autonomously switched between a normal state and an energy-saving state in real time according to a network load condition, and the coverage quality is guaranteed effectively.

Description

Autonomous energy-saving management system of a kind of wireless access network and method
Technical field
The present invention relates to wireless communication technology field, autonomous energy-saving management system of particularly a kind of wireless access network and method.
Background technology
Along with the greenhouse gas effect more and more receives publicity, efficiency become industrial quarters current one of the major issue that will consider.The energy consumption that current I CT (Information Communication Technology, ICT) industry is consumed has accounted for 5% of global energy consumption, and growth trend is more obvious in the ensuing time.Simultaneously, along with the continuous development of wireless access network, what network provided is professional more and more diversified, radio access node, as the base station (BS, NodeB, eNodeB), the deployment of access point AP etc. is also more and more intensive.These numerous radio access nodes have expended the energy of whole cordless communication network 80%-90%.At present, all Radio Access Networks are all loaded according to peak traffic and are designed, and the load of some access nodes is 0 or very low when hanging down traffic load, thereby cause the waste of resource, and have increased O&M cost.Therefore, study the energy-conservation to reducing greenhouse effect of wireless access network, the O&M cost that reduces operator has very big meaning.
Administration of energy conservation can be lower than the thresholding of appointment at some service in base station loads; And lasting duration is greater than regular hour during section; Close these base stations through signaling; And carry out effective compensating movement: will avoid the appearance of coverage hole on the one hand, on the other hand, will guarantee that also traffic load can be admitted by other base station.Need revise network and engineering parameter in order to realize energy-conservation compensation; This existing be to be unpractical in the main administrative mechanism with the manual work; Utilize autonomous administration of energy conservation then can solve the problem in these controls well: promptly not having under the artificial situation of intervening; System can detect the traffic load variation tendency in zone automatically, and satisfying energy-conservation action of execution and recovery action under the certain trigger condition, realizes energy-conservation.
Publication number is the patent of invention of CN102170685A, discloses a kind of power-economizing method of wireless communication system, the not overlapped scene of coverage in disposing to wireless communication system between the base station.Consider that wireless communication system is not to be in the running at full capacity state constantly; A lot of times of the carrier wave of base station all are to be in idle condition; In energy-conservation process according to a certain carrier wave of change dynamics On/Off of base station load; Practice thrift the energy consumption of base station on carrier wave, thereby reach the purpose of low-carbon energy-saving.
Publication number is the patent of invention of CN102149101A, discloses a kind of administration of energy conservation method and system, relates to radio communication, and it has solved the problem that does not have the base station energy-saving administrative mechanism.This method comprises: NMS (NMS) sends the administration of energy conservation order to EMS (Element management system), carries energy-conservation combined information in the said administration of energy conservation order, and indication EMS orders according to said administration of energy conservation, to the energy-conservation administration-management reason that is combined into.
Publication number is the patent of invention of CN102196460A, discloses the apparatus and method that are used to reduce energy consumption in a kind of wireless communication system, and this invention provides a kind of apparatus and method that are used at place, the base station control energy saver mode of wireless communication system.The method that is used to control energy saver mode may further comprise the steps: the traffic load of predicting next time; Utilize the traffic load of being predicted to determine whether to get into energy saver mode; When confirming to get into energy saver mode, the reliability of definite traffic load of being predicted; And work as the traffic load of being predicted when reliable, operate in energy saver mode.
The common defects of above-mentioned prior art is, do not consider the covering quality problem after wireless network gets into energy saver mode, also do not provide the covering compensation method of carrying out after the energy-conservation action, can't guarantee quality of services for users.
Summary of the invention
The technical problem that (one) will solve
The technical problem that the present invention will solve is: how autonomous energy-saving management system of a kind of wireless access network and method are provided, so that according to the autonomous handover network state of network load situation, and when network is in power save mode, effectively guarantee covering quality.
(2) technical scheme
For solving the problems of the technologies described above, the present invention provides a kind of wireless access network autonomous energy-saving management system, and it comprises: information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module;
Said information monitoring module connects said information analysis module, is used for monitoring and collection network information;
Said information analysis module; Connect said energy-conservation decision-making module; Be used for judging according to the said network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up; And under the situation of trigger condition or the establishment of recovery condition, correspondingly send trigger request or recovery request to said energy-conservation decision-making module;
Said energy-conservation decision-making module connects said policy enforcement module, is used for after receiving said trigger request or recovery request, correspondingly generating trigger policy or recovery policy according to the said network information;
Said policy enforcement module is used for according to said trigger policy or recovery policy, and correspondingly the base station of Control Network is closed or opened, and base station power adjustment and user's switching.
Preferably, said system also comprises: information storage module; Said information storage module connects said information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module, is used to store the said network information, trigger policy, recovery policy, calls for corresponding functional modules.
The present invention also provides a kind of wireless access network autonomous administration of energy conservation method, and it comprises step:
A: monitoring and collection network information;
B: judge according to the said network information whether current network state satisfies the trigger condition of autonomous administration of energy conservation, if, execution in step C; Otherwise, execution in step F;
C:, adopt double-basis station backoff algorithm to choose and wait to close base station and compensation base station according to the said network information;
D: adopt autonomous coverage optimization algorithm to confirm the power adjustment of said compensation base station;
E: adjust the power of said compensation base station according to said power adjustment, close relevant base station, carry out switching, execution in step A according to the user in the switching judging standard Control Network according to the result that chooses of said double-basis station backoff algorithm;
F: judge according to the said network information whether current network state satisfies the recovery condition of autonomous administration of energy conservation, if, execution in step G; Otherwise, execution in step A;
G: the base station closed is opened, the performance number of all base stations is returned to normal condition, carry out switching, execution in step A according to the user in the switching judging standard Control Network.
Preferably, the trigger condition of autonomous administration of energy conservation is among the said step B: the traffic load T that is in the network under the normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s
Preferably, said step C specifically comprises step:
C1: judge whether there is the base station that is not processed as yet in the network,, choose a base station that is not processed as yet as when the pre-treatment base station, will work as the pre-treatment base station and put into and handle collection of base stations if exist; Otherwise, execution in step D;
C2: confirm symmetry element set when the pre-treatment base station;
C3: judge whether the symmetry element set when the pre-treatment base station is empty, if be empty, execution in step C1; Otherwise, execution in step C4;
C4: judge in the symmetry element set of pre-treatment base station whether have available symmetry element, if there is execution in step C5; Otherwise, execution in step C1; Do not comprise base station to be closed in the said available symmetry element;
C5: from said available symmetry element, choose the symmetry element an of the best, and all base stations in the symmetry element of said the best are labeled as the compensation base station, will work as the pre-treatment base station and be labeled as base station to be closed, execution in step C1.
Preferably, said step C2 specifically comprises step:
C21: selected distance is as the nearest m in pre-treatment base station 0Individual base station, m 0Be positive even numbers;
C22: choose said m 0Any a pair of base station of layout symmetry constitutes the symmetry element when the pre-treatment base station in the individual base station;
C23: all symmetry elements of choosing when the pre-treatment base station constitute the symmetry element set when the pre-treatment base station.
Preferably, said m 0Value be 6.
Preferably, the symmetry element of said the best is to comprise the maximum available symmetry element of number that compensates the base station, and comprises under the same number of situation that compensates the base station at a plurality of available symmetry elements, and the service in base station load in the symmetry element of said the best is minimum.
Preferably, said step D specifically comprises step:
D1: from P TIn selected P TCHInitial value, given initial temperature T 0With final temperature T f, make iteration index k=0, T k=T 0Wherein, P TCH=[P 1 TCH, P 2 TCH..., P N TCH], represent different compensation service in base station channel power P i TCHState value vector, 1≤i≤N, N represent the number of compensation base station in the network; P TExpression P TCHValue set;
D2: loop iteration frequency n in setting 0, cycle counter m=0 in the order;
D3: generate a neighborhood at random and separate P ' TCH∈ N 0(P TCH) ∈ P T, make m from increase 1 and calculate desired value increment Delta z=z (P ' TCH)-z (P TCH), whether judge Δ z less than 0, if, execution in step D6; Otherwise, execution in step D4;
Wherein, N 0(P TCH) expression P TCHThe field; Z representes total optimization aim and service channel power P i TCHBetween mapping, said total optimization aim comprises energy saving optimizing target and coverage optimization target;
D4: generate ξ=U (0,1) at random, and judge exp (Δ z/T k) whether greater than ξ, if greater than, execution in step D6; Otherwise, execution in step D5;
D5: judge that whether m is greater than n 0, if, execution in step D7; Otherwise, execution in step D3;
D6: make P TCH=P ' TCH
D7: reduce T k, make k from increasing 1;
D8: judge T kWhether less than T fIf, less than, according to P TCHCurrency confirm each the compensation base station power adjustment; Otherwise, carry out said step D2.
Preferably, the recovery condition of autonomous administration of energy conservation is in the said step F: the traffic load T that is in the network under the power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c
(3) beneficial effect
Autonomous energy-saving management system of wireless access network of the present invention and method; Through adopting double-basis station backoff algorithm and autonomous coverage optimization algorithm; Wireless access network is independently switched between normal condition and power save mode according to the network load situation in real time; And when network is in power save mode, effectively guarantees covering quality when reducing the network power consumption, reduce and disturb.
Description of drawings
Fig. 1 is the autonomous energy-saving management system structural representation of the wireless access network of the embodiment of the invention;
Fig. 2 is the autonomous administration of energy conservation method flow diagram of the said wireless access network of the embodiment of the invention;
Fig. 3 is the double-basis station compensation sketch map to three cell base stations;
Fig. 4 is a kind of pervasive double-basis station compensation sketch map;
Fig. 5 is the simulating scenes sketch map;
Fig. 6 is that the zone under the power save mode covers sketch map.
Embodiment
Below in conjunction with accompanying drawing and embodiment, specific embodiments of the invention describes in further detail.Following examples are used to explain the present invention, but are not used for limiting scope of the present invention.
Fig. 1 is the autonomous energy-saving management system structural representation of the wireless access network of the embodiment of the invention.As shown in Figure 1, said system comprises: information monitoring module 100, information analysis module 200, energy-conservation decision-making module 300, policy enforcement module 400 and information storage module 500.
Said information monitoring module 100 connects said information analysis module 200 and information storage module 500, is used for monitoring and collection network information, and the said network information is stored to said information storage module 500.
Said information analysis module 200; Connect said energy-conservation decision-making module 300 and information storage module 500; Be used for judging according to the said network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up; And under the situation of trigger condition or the establishment of recovery condition, correspondingly send trigger request or recovery request to said energy-conservation decision-making module 300.
Said energy-conservation decision-making module 300 connects said policy enforcement module 400 and information storage module 500; Be used for after receiving said trigger request or recovery request; Correspondingly generate trigger policy or recovery policy according to the said network information, and said trigger policy or recovery policy are stored to said information storage module 500.
Said policy enforcement module 400 is used for according to said trigger policy or recovery policy, and correspondingly the base station of Control Network is closed or opened, and base station power adjustment and user's switching.
Said information storage module 500 provides the center as data, relevant informations such as the said network information, trigger policy, recovery policy of storage dynamically, and information standardized input and output to guarantee the efficiently and accurately operation of each functions of modules.
Fig. 2 is the autonomous administration of energy conservation method flow diagram of the said wireless access network of the embodiment of the invention.As shown in Figure 2, said method comprises step:
A: said information monitoring module 100 monitorings are the collection network information also, and the said network information is stored to said information storage module 500.The network information here comprises: area business amount and energy consumption, and mobile subscriber's reception signal strength signal intensity, Ec/Io (pilots signals available intensity/all signal strength signal intensities) or C/I (carrier/interface ratio), and user's COS etc.
B: said information analysis module 200 is extracted the said network information from said information storage module 500; Judge according to the said network information whether current network state satisfies the trigger condition of autonomous administration of energy conservation then; If; Said information analysis module 200 is sent trigger request, execution in step C to said energy-conservation decision-making module 300; Otherwise, execution in step F.The trigger condition of said autonomous administration of energy conservation is: the traffic load T that is in the network under the normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t sThe thresholding δ of said energy-conservation triggering can be 1/3 of a network peak traffic, the said first buffer time t sIt can be 10 minutes.Here mainly be the judgement of whether satisfying the trigger condition of autonomous administration of energy conservation according to the area business amount in the said network information.
C: said energy-conservation decision-making module 300 receives said trigger request; Then according to the load and the user distribution situation of each base station that comprises in the said area business amount; Adopt double-basis station backoff algorithm to choose and wait to close base station and compensation base station, will choose the result then and be stored to said information storage module 500.See that from the part coverage of single base station can be compensated by the adjacent base station of a pair of symmetry.Fig. 3 is the double-basis station compensation sketch map to three cell base stations, and as shown in Figure 3, the base station is to (BS 2, BS 3) be base station BS 1Symmetry element, this symmetry element can be carried out base station BS 1Compensation.And the symmetry element of all these base stations constitutes the symmetry element set of this base station.
Said step C specifically comprises step:
C1: judge whether there is the base station that is not processed as yet in the network,, choose a base station that is not processed as yet as when the pre-treatment base station, will work as the pre-treatment base station and put into and handle collection of base stations if exist; Otherwise, execution in step D;
C2: confirm symmetry element set when the pre-treatment base station.
The layout of the network base station of reality is not as shown in Figure 3 all even simple, but complicated more.Fig. 4 is a kind of pervasive double-basis station compensation sketch map, in conjunction with Fig. 4, as follows to said step C2 concrete steps explanation:
C21: selected distance is as the nearest m in pre-treatment base station 0Individual base station, m 0Be positive even numbers.In the present embodiment, m 0Value be 6; When the pre-treatment base station is BS 0Selected apart from base station BS 0Nearest base station is BS 1～BS 6
C22: choose said m 0Any a pair of base station of layout symmetry constitutes the symmetry element when the pre-treatment base station in the individual base station.
C23: all symmetry elements of choosing when the pre-treatment base station constitute the symmetry element set when the pre-treatment base station.As shown in Figure 4, when the pre-treatment base station BS 0Symmetry element set in comprise symmetry element: (BS 1, BS 4), (BS 2, BS 5) and (BS 3, BS 6).
C3: judge whether the symmetry element set when the pre-treatment base station is empty, if be empty, execution in step C1; Otherwise, execution in step C4.
C4: judge in the symmetry element set of pre-treatment base station whether have available symmetry element, if there is execution in step C5; Otherwise, execution in step C1.Do not comprise base station to be closed in the said available symmetry element.
C5: from said available symmetry element, choose the symmetry element an of the best, and all base stations in the symmetry element of said the best are labeled as the compensation base station, will work as the pre-treatment base station and be labeled as base station to be closed, execution in step C1.The symmetry element of said the best is to comprise the maximum available symmetry element of number that compensates the base station, and comprises under the same number of situation that compensates the base station at a plurality of available symmetry elements, and the service in base station load in the symmetry element of said the best is minimum.Still as shown in Figure 4, from working as the pre-treatment base station BS 0Symmetry element set in the symmetry element of final selected the best be: (BS 2, BS 5).
D: said energy-conservation decision-making module 300 is a target to maximize energy-conservation, under the situation that satisfies the covering quality requirement, adopts autonomous coverage optimization algorithm to confirm the power adjustment of said compensation base station, and power adjustment is stored to said information storage module 500.
Suppose that the compensation number of base stations in the network is N, number of users is M, and the power of compensation base station i is P i BS(unit is W), 1≤i≤N.Difference is compensated service in base station channel power P i TCHAs optimization objects, its state value vector P TCH=[P 1 TCH, P 2 TCH..., P N TCH].P in existing network i TCHSupport the output of 25dBm～32dBm, and the adjustment step-length is 1dBm.
To with a kind of business, compensate the base station power P of base station i i BSWith service channel power P i TCHMapping relationship f one by one clear and definite result has been arranged.From energy-conservation angle, minimize regional performance number, the energy saving optimizing target is following:
min G ( P TCH ) = Σ i N P BS i = Σ i N f ( P TCH i ) - - - ( 1 )
Can obtain compensation base station covering radius r through the path loss model iWith service channel power P i TCHMapping g.Angle from covering will guarantee the covering in whole zone, need minimize the coverage gap rate, and the coverage optimization target is:
min H ( P TCH ) = S - Σ j = 1 N π g 2 ( P TCH j ) + Σ l = 1 N Σ q = 1 N O lq S × 100 % - - - ( 2 )
O wherein LqExpression compensation base station l and the overlapping area that compensates base station q.
In conjunction with energy saving optimizing target (1) and coverage optimization target (2), total optimization aim that can get is finally represented as follows:
min?z＝αG(P TCH)+ωH(P TCH) (3)
In (3), α and ω represent energy saving optimizing target and coverage optimization objective weight respectively.If P TExpression P TCHValue set, P then TIt is the state space of a Discrete Finite.
Said step D specifically comprises step:
D1: from P TIn selected P TCHInitial value, given initial temperature T 0With final temperature T f, make iteration index k=0, T k=T 0
D2: loop iteration frequency n in setting 0, cycle counter m=0 in the order;
D3: generate a neighborhood at random and separate P ' TCH∈ N 0(P TCH) ∈ P T, make m from increase 1 and calculate desired value increment Delta z=z (P ' TCH)-z (P TCH), whether judge Δ z less than 0, if, execution in step D6; Otherwise, execution in step D4;
Wherein, N 0(P TCH) expression P TCHThe field.
D4: generate ξ=U (0,1) at random, and judge exp (Δ z/T k) whether greater than ξ, if greater than, execution in step D6; Otherwise, execution in step D5;
D5: judge that whether m is greater than n 0, if, execution in step D7; Otherwise, execution in step D3;
D6: make P TCH=P ' TCH
D7: reduce T k, make k from increasing 1;
D8: judge T kWhether less than T fIf, less than, according to P TCHCurrency confirm each the compensation base station power adjustment; Otherwise, carry out said step D2.
E: said policy enforcement module 400 at first is stored to said information storage module 500 with the network data under the normal condition; Adjust the power of said compensation base station then according to said power adjustment; The result that chooses according to said double-basis station backoff algorithm closes relevant base station; User according in the switching judging standard Control Network carries out switching, execution in step A.
F: said information analysis module 200 judges according to the said network information whether current network state satisfies the recovery condition of autonomous administration of energy conservation, if, execution in step G; Otherwise, execution in step A.The recovery condition of said autonomous administration of energy conservation is: the traffic load T that is in the network under the power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t cThe thresholding σ of said energy-conservation answer can be 1/3 of a network peak traffic, the said second buffer time t cIt can be 10 minutes.
G: said policy enforcement module 400 is opened the base station of closing; According to the network data under the normal condition in the said information storage module 500 performance number of all base stations is returned to normal condition; User according in the switching judging standard Control Network carries out switching, execution in step A.
In order to verify the result of use of the method for the invention, present embodiment carries out following emulation experiment.Fig. 5 is the simulating scenes sketch map, and is as shown in Figure 5, and provided website and user's distribution situation among the figure: * representes site location ,+expression customer location.Scene is the WCDMA urban settings, and simulating area is 9km * 9km, is divided into to be furnished with the consistent base station of n=36 function.To between the 1.5km, there are 3 sub-districts each base station to base station distance at 1.3km, is the trifolium-shaped honeycomb, and it is circular that the coverage of base station is approximately.The peak user number in zone is M=3600, is the speech business of 12.2kbps.The horizontal half-power beam width of antenna in cell is 65 °, and vertical half-power beam width is 10 °, 8 ° of Downtilt, antenna gain 17dBi, antenna efficiency 0.8.User's maximum transmission power is 23dBm, and antenna is an omnidirectional antenna, antenna gain 0dBi, antenna efficiency 0.8.The user highly is 1.5m, and path loss model is a COST32-HATA city model, and the user antenna modifying factor is 0; User's acceptable signal-to-interference ratio is 7dB; Switching sluggish redundancy is 8dB, and the shadow fading model is that average is the 6dB lognormal model, and the rapid fading model is this model of Lay.Energy-conservation triggering and recovery thresholding are 1/3 of peak traffic, and lag time is 10 minutes.
Because coverage rate is to guarantee that the user normally accepts the most important index of serving, therefore when weight was set, the coverage rate weight will be higher than the weight of performance number.α=0.1 is set, and ω=100 are to satisfy the normalization of desired value.To simulated annealing,, T is set in order to obtain effective disaggregation 0=10000, T f=10, n 0=5, the cooling function is T K+1=T k-Δ T, Δ T=10.
According to coverage optimization method, for guaranteeing covering quality, at H (P TCHChoose minimized performance number as optimize results in the value space of)＜2%.The optimize results of obtaining at last is H (P TCH)=1.9318%, G (P TCH)=28256W.The energy-conservation time that calculating can get on the one-period is 10.15 hours, and energy-saving efficiency is 16.72%; Covering the overlapping rate is 19.12%.Fig. 6 is that the zone under the power save mode covers sketch map.
Autonomous energy-saving management system of the said wireless access network of the embodiment of the invention and method; Through adopting double-basis station backoff algorithm and autonomous coverage optimization algorithm; Wireless access network is independently switched between normal condition and power save mode according to the network load situation in real time; And when network is in power save mode, effectively guarantees covering quality when reducing the network power consumption, reduce and disturb.
Above execution mode only is used to explain the present invention; And be not limitation of the present invention; The those of ordinary skill in relevant technologies field under the situation that does not break away from the spirit and scope of the present invention, can also be made various variations and modification; Therefore all technical schemes that are equal to also belong to category of the present invention, and scope of patent protection of the present invention should be defined by the claims.

Claims (10)

1. the autonomous energy-saving management system of wireless access network is characterized in that, comprising: information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module;
Said information monitoring module connects said information analysis module, is used for monitoring and collection network information;
Said information analysis module; Connect said energy-conservation decision-making module; Be used for judging according to the said network information whether the trigger condition of autonomous administration of energy conservation or recovery condition are set up; And under the situation of trigger condition or the establishment of recovery condition, correspondingly send trigger request or recovery request to said energy-conservation decision-making module;
Said energy-conservation decision-making module connects said policy enforcement module, is used for after receiving said trigger request or recovery request, correspondingly generating trigger policy or recovery policy according to the said network information;
Said policy enforcement module is used for according to said trigger policy or recovery policy, and correspondingly the base station of Control Network is closed or opened, and base station power adjustment and user's switching.
2. the system of claim 1 is characterized in that, said system also comprises: information storage module; Said information storage module connects said information monitoring module, information analysis module, energy-conservation decision-making module and policy enforcement module, is used to store the said network information, trigger policy, recovery policy, calls for corresponding functional modules.
3. the autonomous administration of energy conservation method of wireless access network is characterized in that, comprises step:
A: monitoring and collection network information;
B: judge according to the said network information whether current network state satisfies the trigger condition of autonomous administration of energy conservation, if, execution in step C; Otherwise, execution in step F;
C:, adopt double-basis station backoff algorithm to choose and wait to close base station and compensation base station according to the said network information;
D: adopt autonomous coverage optimization algorithm to confirm the power adjustment of said compensation base station;
E: adjust the power of said compensation base station according to said power adjustment, close relevant base station, carry out switching, execution in step A according to the user in the switching judging standard Control Network according to the result that chooses of said double-basis station backoff algorithm;
F: judge according to the said network information whether current network state satisfies the recovery condition of autonomous administration of energy conservation, if, execution in step G; Otherwise, execution in step A;
G: the base station closed is opened, the performance number of all base stations is returned to normal condition, carry out switching, execution in step A according to the user in the switching judging standard Control Network.
4. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3; It is characterized in that; The trigger condition of autonomous administration of energy conservation is among the said step B: the traffic load T that is in the network under the normal condition is lower than the thresholding δ of energy-conservation triggering, and lasting duration is more than or equal to the first buffer time t s
5. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3 is characterized in that said step C specifically comprises step:
C1: judge whether there is the base station that is not processed as yet in the network,, choose a base station that is not processed as yet as when the pre-treatment base station, will work as the pre-treatment base station and put into and handle collection of base stations if exist; Otherwise, execution in step D;
C2: confirm symmetry element set when the pre-treatment base station;
C3: judge whether the symmetry element set when the pre-treatment base station is empty, if be empty, execution in step C1; Otherwise, execution in step C4;
C4: judge in the symmetry element set of pre-treatment base station whether have available symmetry element, if there is execution in step C5; Otherwise, execution in step C1; Do not comprise base station to be closed in the said available symmetry element;
C5: from said available symmetry element, choose the symmetry element an of the best, and all base stations in the symmetry element of said the best are labeled as the compensation base station, will work as the pre-treatment base station and be labeled as base station to be closed, execution in step C1.
6. the autonomous administration of energy conservation method of wireless access network as claimed in claim 5 is characterized in that said step C2 specifically comprises step:
C21: selected distance is as the nearest m in pre-treatment base station 0Individual base station, m 0Be positive even numbers;
C22: choose said m 0Any a pair of base station of layout symmetry constitutes the symmetry element when the pre-treatment base station in the individual base station;
C23: all symmetry elements of choosing when the pre-treatment base station constitute the symmetry element set when the pre-treatment base station.
7. the autonomous administration of energy conservation method of wireless access network as claimed in claim 6 is characterized in that said m 0Value be 6.
8. the autonomous administration of energy conservation method of wireless access network as claimed in claim 5; It is characterized in that; The symmetry element of said the best is to comprise the maximum available symmetry element of number that compensates the base station; And comprise under the same number of situation that compensates the base station at a plurality of available symmetry elements, the service in base station load in the symmetry element of said the best is minimum.
9. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3 is characterized in that said step D specifically comprises step:
D1: from P TIn selected P TCHInitial value, given initial temperature T 0With final temperature T f, make iteration index k=0, T k=T 0Wherein, P TCH=[P 1 TCH, P 2 TCH..., P N TCH], represent different compensation service in base station channel power P i TCHState value vector, 1≤i≤N, N represent the number of compensation base station in the network; P TExpression P TCHValue set;
D2: loop iteration frequency n in setting 0, cycle counter m=0 in the order;
D3: generate a neighborhood at random and separate P ' TCH∈ N 0(P TCH) ∈ P T, make m from increase 1 and calculate desired value increment Delta z=z (P ' TCH)-z (P TCH), whether judge Δ z less than 0, if, execution in step D6; Otherwise, execution in step D4;
Wherein, N 0(P TCH) expression P TCHThe field; Z representes total optimization aim and service channel power P i TCHBetween mapping, said total optimization aim comprises energy saving optimizing target and coverage optimization target;
D4: generate ξ=U (0,1) at random, and judge exp (Δ z/T k) whether greater than ξ, if greater than, execution in step D6; Otherwise, execution in step D5;
D5: judge that whether m is greater than n 0, if, execution in step D7; Otherwise, execution in step D3;
D6: make P TCH=P ' TCH
D7: reduce T k, make k from increasing 1;
D8: judge T kWhether less than T fIf, less than, according to P TCHCurrency confirm each the compensation base station power adjustment; Otherwise, carry out said step D2.
10. the autonomous administration of energy conservation method of wireless access network as claimed in claim 3; It is characterized in that; The recovery condition of autonomous administration of energy conservation is in the said step F: the traffic load T that is in the network under the power save mode is higher than the thresholding σ of energy-conservation recovery, and lasting duration is more than or equal to the second buffer time t c
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