CN107317605A - The communication success rate computational methods and device of a kind of power wire broadband carrier - Google Patents

The communication success rate computational methods and device of a kind of power wire broadband carrier Download PDF

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Publication number
CN107317605A
CN107317605A CN201710642155.9A CN201710642155A CN107317605A CN 107317605 A CN107317605 A CN 107317605A CN 201710642155 A CN201710642155 A CN 201710642155A CN 107317605 A CN107317605 A CN 107317605A
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China
Prior art keywords
website
success rate
communication success
message amount
route
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CN201710642155.9A
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Chinese (zh)
Inventor
张思建
张捷
李健
林国营
党三磊
刘健
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Guangdong Electric Power Design Institute
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Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Priority to CN201710642155.9A priority Critical patent/CN107317605A/en
Publication of CN107317605A publication Critical patent/CN107317605A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/542Systems for transmission via power distribution lines the information being in digital form
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/544Setting up communications; Call and signalling arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines
    • H04B3/546Combination of signalling, telemetering, protection

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the invention discloses the communication success rate computational methods and device of a kind of power wire broadband carrier, the link communication quality that can more reflect between website can more accurately reflect the dynamic change of link communication quality, and be avoided that excessive fluctuation.A kind of communication success rate computational methods of power wire broadband carrier of the embodiment of the present invention include:S1:The message amount that the message amount and the second website sent in downlink communication by the first website in the predetermined route cycle is received, calculate downlink communication success rate, the message amount that the message amount and the first website sent in uplink communication by the second website in the route cycle is received, calculates uplink communication success rate;S2:The uplink communication success rate and the downlink communication success rate are subjected to the communication success rate in the product calculation acquisition route cycle between the first website and the second website, the communication success rate weighted average between the first website and the second website in the route cycle described in nearest predetermined number is calculated.

Description

The communication success rate computational methods and device of a kind of power wire broadband carrier
Technical field
The present invention relates to the communication success in power-line carrier communication field, more particularly to a kind of power wire broadband carrier Rate computational methods and device.
Background technology
Power-line carrier communication abbreviation PLC technology, modulated signal is carried out usually using modem, then will modulation Good signal, which is injected into power line, to be communicated.Power wire broadband carrier uses OFDM modulation techniques, utilizes widespread deployment Power line, can be in order to avoid wiring, be achieved at low cost the electric energy acquisition terminal access band communication network of user as communication port Network.
In power line carrier, PLC, the communication efficiency between different websites can directly influence the quality of data transfer.Upper In row, downlink communication, in order to select a most efficient data link to carry out data transmission, domestic and international achievement in research is not using Same index is used for Path selection.
Signal intensity
Existing some electrical power user kilowatt meter reading-out system selects data transfer by calculating the signal intensity of each receiving terminal Path.Signal intensity, i.e. receiving station detect the power that transmitting station sends signal.The selection transmission road between two websites During footpath, the maximum path of signal intensity is regard as transmission path.
The selection of communication path is as shown in Figure 1.It is all two-way communication between each website, data are transmitted from STA1 (website 1) Process to STA2 is referred to as downlink communication, and STA1 is transmitting terminal during downlink communication, and STA2 is receiving terminal;Data from STA2 is transferred to STA1 process referred to as uplink communication, and STA2 is transmitting terminal in uplink communication, and STA1 is receiving terminal.
Communicate success rate
Power consumer kilowatt meter reading-out system selects data transfer by calculating the communication success rate between transmitting terminal and receiving terminal Optimal path.As shown in figure 1, message frame number that STA1 in downlink communication sends is set as A, the message amount that STA2 has correctly received For K, then the downlink communication success rate P between STA1 and STA2 is P=K/A.
The shortcoming of prior art:
(1) this index of power consumer kilowatt meter reading-out system basis signal intensity selects the optimal path of message transmissions, may Have that signal intensity is high and the low phenomenon of communication link quality, cause message packet loss high, reduce the integrality of message transmissions With accuracy.
(2) although the definition of communication success rate is simply clear, measurement period, computational methods on the success rate that communicates It is still indefinite.In the stronger application scenarios of some time variations, measurement period is too short to cause communication success rate fluctuation larger;And Measurement period is long, and communication success rate can be caused can not to reflect link communication quality in time, and influence path is chosen.
(3) it is unidirectional that the communication success rate of existing method, which is calculated, in two-way asymmetric environment, unidirectional communication success Rate can not accurately reflect the two-way communication quality of link.
The content of the invention
, more can be anti-the embodiments of the invention provide the communication success rate computational methods and device of a kind of power wire broadband carrier The link communication quality reflected between website, can more accurately reflect the dynamic change of link communication quality, and be avoided that excessive fluctuation.
A kind of communication success rate computational methods of power wire broadband carrier provided in an embodiment of the present invention, including:
S1:The message amount and the second website sent in downlink communication by the first website in the predetermined route cycle connects The message amount received, calculates downlink communication success rate, is sent in uplink communication by the second website in the route cycle Message amount and the message amount that receives of the first website, calculate uplink communication success rate;
S2:The uplink communication success rate and the downlink communication success rate are subjected to product calculation and obtain the route week Communication success rate between interim first website and the second website, calculates the first website in the route cycle described in nearest predetermined number And the second communication success rate weighted average between website.
Preferably, the step S2 is specifically included:
The uplink communication success rate and the downlink communication success rate are subjected to product calculation and obtain the route cycle In communication success rate between the first website and the second website, and calculate the first website in the route cycle described in nearest predetermined number And the second communication success rate between website, by predetermined number weighted value, calculate the route cycle described in nearest predetermined number Communicate success rate weighted average.
Preferably, also include before the step S1:
S0:The information frame of message amount in the predetermined route cycle is constructed by the first website, is constructed by the second website The information frame of message amount in the predetermined route cycle, by the first website and the second site switch information frame, is obtained descending The message amount A sent in communication by the first website in the predetermined route cyclexiThe message amount received with the second website Kxi, and obtain the message amount A sent in uplink communication by the second website in the route cyclesiConnect with the first website The message amount K receivedsi, the predetermined route cycle be i-th route the cycle, i=1,2 ..., N, N is positive integer.
Preferably, the step S1 is specifically included:
The message amount A sent in downlink communication by the first website in i-th of route cyclexiReceived with the second website The message amount K arrivedxi, downlink communication success rate P is calculated by the first formulaxi, pass through i-th of route week in uplink communication The message amount A that interim second website is sentsiThe message amount K received with the first websitesi, calculated by the second formula Row communication success rate Psi, wherein first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website The message amount arrived, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website The message amount arrived, i=1,2 ..., N, N is positive integer.
Preferably, the step S2 is specifically included:
By the uplink communication success rate PsiWith the downlink communication success rate PxiCarry out product calculation and obtain i-th of tunnel By the communication success rate P in the cycle between the first website and the second websitei, calculated i-th by the 3rd formula and n weighted value Communication success rate weighted average PJ in the nearest n route cycle in route cycle between the first website and the second websitei, it is described 3rd formula is:
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For i-th of route cycle nearest n route Communication success rate in cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1 >...>Wn
A kind of communication success rate computing device of the power wire broadband carrier provided in the embodiment of the present invention, including:
First computing unit, for the message number sent in downlink communication by the first website in the predetermined route cycle The message amount that amount and the second website are received, calculates downlink communication success rate, passes through the route cycle in uplink communication In the second website message amount and the message amount that receives of the first website that send, calculate uplink communication success rate;
Second computing unit, product calculation acquisition is carried out by the uplink communication success rate and the downlink communication success rate Communication success rate in the route cycle between the first website and the second website, calculates and route the cycle described in nearest predetermined number In communication success rate weighted average between the first website and the second website.
Preferably, second computing unit is specifically included:
Product calculation subelement, specifically for the uplink communication success rate and the downlink communication success rate are multiplied Product computing;
First obtains subelement, specifically for obtaining the communication in the route cycle between the first website and the second website Success rate;
First computation subunit, specifically for calculating the first website and second station in the route cycle described in nearest predetermined number Communication success rate between point;
Second computation subunit, specifically for by predetermined number weighted value, calculating and week being route described in nearest predetermined number Communication success rate weighted average between interim first website and the second website.
Preferably, in addition to:
Acquiring unit, the information frame for constructing message amount in predetermined route cycle by the first website, by the Two websites construct the information frame of message amount in the predetermined route cycle, by the first website and the second site switch information frame, Obtain the message amount A sent in downlink communication by the first website in the predetermined route cyclexiReceived with the second website Message amount Kxi, and obtain the message amount A sent in uplink communication by the second website in the route cyclesiWith The message amount K that first website is receivedsi, the predetermined route cycle is i-th of route cycle, i=1,2 ..., N, and N is Positive integer.
Preferably, first computing unit is specifically included:
3rd computation subunit, specifically for what is sent in downlink communication by the first website in i-th of route cycle Message amount AxiThe message amount K received with the second websitexi, downlink communication success rate P is calculated by the first formulaxi
4th computation subunit, specifically for what is sent in uplink communication by the second website in i-th of route cycle Message amount AsiThe message amount K received with the first websitesi, uplink communication success rate P is calculated by the second formulasi
Wherein described first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website The message amount arrived, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website The message amount arrived, i=1,2 ..., N, N is positive integer.
Preferably, the product calculation subelement, specifically for by the uplink communication success rate PsiWith it is described descending logical Believe success rate PxiCarry out product calculation;
Described first obtains subelement, specifically for obtaining in i-th of route cycle between the first website and the second website Communication success rate Pi
First computation subunit, specifically for calculating the first website in i-th of route nearest n route cycle in cycle And the second communication success rate between website;
Second computation subunit, specifically for calculating i-th of route cycle most by n weighted value and the 3rd formula Communication success rate weighted average PJ in the nearly n route cycle between the first website and the second websitei, the 3rd formula For:
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For i-th of route cycle nearest n route Communication success rate in cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1 >...>Wn
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below:
The communication success rate computational methods and device of a kind of power wire broadband carrier provided in the embodiment of the present invention, its In, a kind of communication success rate computational methods of power wire broadband carrier include:S1:Pass through predetermined route week in downlink communication The message amount that the message amount and the second website that interim first website is sent are received, calculates downlink communication success rate, upper The message amount that the message amount and the first website sent in row communication by the second website in the route cycle is received, meter Calculate uplink communication success rate;S2:The uplink communication success rate and the downlink communication success rate are subjected to product calculation acquisition Communication success rate in the route cycle between the first website and the second website, calculates and route the cycle described in nearest predetermined number In communication success rate weighted average between the first website and the second website.In the present embodiment, by by uplink and downlink communication into The product of power is as the communication success rate between two websites in a route cycle, finally to nearest multiple route cycles Communication success rate does weighted mean operation, as the evaluation index of link communication quality between the first website and the second website, more The link communication quality that can reflect between website, can more accurately reflect the dynamic change of link communication quality, and be avoided that excessive Fluctuation.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the accompanying drawing used required in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, without having to pay creative labor, may be used also To obtain other accompanying drawings according to these accompanying drawings.
A kind of uplink and downlink communication scheme provided in Fig. 1 embodiment of the present invention;
A kind of one reality of the communication success rate computational methods of the power wire broadband carrier provided in Fig. 2 embodiment of the present invention Apply the schematic flow sheet of example;
A kind of one reality of the communication success rate computing device of the power wire broadband carrier provided in Fig. 3 embodiment of the present invention Apply the structural representation of example;
A kind of communication success rate computing device of the power wire broadband carrier provided in Fig. 4 embodiment of the present invention another The structural representation of embodiment;
A kind of site communication schematic diagram provided in Fig. 5 embodiment of the present invention;
A kind of one reality of the communication success rate computational methods of the power wire broadband carrier provided in Fig. 6 embodiment of the present invention Apply the schematic flow sheet of example.
Embodiment
, more can be anti-the embodiments of the invention provide the communication success rate computational methods and device of a kind of power wire broadband carrier The link communication quality reflected between website, can more accurately reflect the dynamic change of link communication quality, and be avoided that excessive fluctuation.
To enable goal of the invention, feature, the advantage of the present invention more obvious and understandable, below in conjunction with the present invention Accompanying drawing in embodiment, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that disclosed below Embodiment be only a part of embodiment of the invention, and not all embodiment.Based on the embodiment in the present invention, this area All other embodiment that those of ordinary skill is obtained under the premise of creative work is not made, belongs to protection of the present invention Scope.
Referring to Fig. 2, a kind of communication success rate computational methods of the power wire broadband carrier provided in the embodiment of the present invention One embodiment include:
101st, the message amount sent in downlink communication by the first website in the predetermined route cycle and the second website The message amount received, calculates downlink communication success rate, is sent out in uplink communication by the second website in the route cycle The message amount that the message amount and the first website sent are received, calculates uplink communication success rate;
Communication success rate is the ratio for the message frame number that the message frame number that receiving terminal has correctly received is sent with transmitting terminal, on Row communication is to transmit data from meter to concentrator, and downlink communication is to transmit data from concentrator to meter, and website is power line Possess the equipment for sending and receiving message in bandwidth carrier communication, concentrator, the communication module on meter can be mounted in.
Such as Fig. 5, during downlink communication, according to the message amounts sent of the first website STA1 in a route cycle and The message amount that second website STA2 is received, calculates downlink communication success rate;During uplink communication, according to a route The second website STA2 is sent in cycle message amount and the message amounts that receive of the first website STA1, calculate uplink communication into Power.
102nd, the uplink communication success rate and the downlink communication success rate are subjected to product calculation and obtain the route Communication success rate in cycle between the first website and the second website, calculates first stop in the route cycle described in nearest predetermined number Communication success rate weighted average between point and the second website.
It regard the product of uplink and downlink communication success rate as the communication success rate between two websites in a route cycle again. Finally the communication success rate to nearest multiple route cycles does weighted mean operation, and in this, as link between STA1 and STA2 The evaluation index of communication quality.
In the present embodiment, by during downlink communication, according to the message amount of STA1 transmissions in a route cycle The message amount received with STA2, calculates downlink communication success rate;During uplink communication, according in a route cycle Message amount and the message amounts that receive of STA1 that STA2 is sent, calculate uplink communication success rate, then by uplink and downlink communication into The product of power is as the communication success rate between two websites in a route cycle, finally to nearest multiple route cycles Communication success rate does weighted mean operation, and in this, as the evaluation index of link communication quality between STA1 and STA2, correctly Reflect website between link communication quality, can concentrated expression two-way communication quality, can correctly reflect link communication quality Dynamic change.
The above is that the communication success rate computational methods to a kind of power wire broadband carrier are described in detail, below will be right A kind of process of the communication success rate computational methods of power wire broadband carrier is described in detail, and is provided in the embodiment of the present invention Another embodiment of communication success rate computational methods of power wire broadband carrier a kind of include:
201st, the information frame of message amount in the predetermined route cycle is constructed by the first website, is constructed by the second website The information frame of message amount in the predetermined route cycle, by the first website and the second site switch information frame, is obtained descending The message amount A sent in communication by the first website in the predetermined route cyclexiThe message amount received with the second website Kxi, and obtain the message amount A sent in uplink communication by the second website in the route cyclesiConnect with the first website The message amount K receivedsi, the predetermined route cycle be i-th route the cycle, i=1,2 ..., N, N is positive integer.
Communication success rate is the ratio for the message frame number that the message frame number that receiving terminal has correctly received is sent with transmitting terminal, on Row communication is to transmit data from meter to concentrator, and downlink communication is to transmit data from concentrator to meter, and website is power line Possess the equipment for sending and receiving message in bandwidth carrier communication, concentrator, the communication module on meter can be mounted in.
Such as Fig. 6, in the i+1 cycle, STA1 constructions reflect the information frame of the i-th cycle message amount, as shown in table 1:
Table 1
STA1 sends message amount Axi
STA1 receives message amount Ksi
In the i+1 cycle, STA2 constructions reflect the information frame of the i-th cycle message amount, as shown in table 2:
Table 2
STA2 sends message amount Asi
STA2 receives message amount Kxi
STA1 and STA2 exchanges information frame, and both of which obtains in i-th of route cycle (i=1,2 ..., N), uplink communication In the second website send message amount AsiMessage amount K is received with the first websitesi, the first website sends message in downlink communication Quantity AxiThe message amount K received with the second websitexi
202nd, the message amount A sent in downlink communication by the first website in i-th of route cyclexiWith the second website The message amount K receivedxi, downlink communication success rate P is calculated by the first formulaxi, pass through i-th of tunnel in uplink communication The message amount A that the second website is sent in the cyclesiThe message amount K received with the first websitesi, pass through the second formula meter Calculate uplink communication success rate Psi, wherein first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website The message amount arrived, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website The message amount arrived, i=1,2 ..., N, N is positive integer.
Respectively by the second formula and the first formula S TA1 and STA2 calculate uplink communication in i-th of route cycle into Power PsiWith downlink communication success rate Pxi, first formula and the second formula are respectively:
Pxi=Kxi/Axi,
Pxi=Kxi/Axi,
203rd, by the uplink communication success rate PsiWith the downlink communication success rate PxiCarry out product calculation and obtain i-th Communication success rate P in the individual route cycle between the first website and the second websitei, calculated by the 3rd formula and n weighted value Communication success rate weighted average in i-th of route nearest n route cycle in cycle between the first website and the second website PJi, the 3rd formula is:
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For i-th of route cycle nearest n route Communication success rate in cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1 >...>Wn
Such as Fig. 6, by the uplink communication success rate PsiWith the downlink communication success rate PxiCarry out product calculation and calculate the The communication success rate between the first website and the second website in i route cycle:
Pi=Psi×Pxi
Because there is interactivity in the communication between two websites, a website both can as the transmitting terminal in uplink communication, The receiving terminal in downlink communication can be used as.If only asking for the communication success rate that the website single is received or single is sent, knot Fruit has one-sidedness, it is impossible to the communication efficiency between reliable reflection website, influences Route Selection.
Record the communication success rate P in nearest n route cyclei、Pi-1......Pi-n+1
Select n weighted value W0、W1......Wn-1, wherein W0>W1>...>Wn
Calculate the communication success rate weighted average PJ in nearest n route cyclei, i.e. the 3rd formula is:
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For i-th of route cycle nearest n route Communication success rate in cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1 >...>Wn
By PJiAs the index for weighing link communication quality, for Route Selection.PJiValue is bigger, then illustrates two websites Communication quality between STA1 and STA2 is better.
In the communication success rate between calculating two websites, weighted average can also be replaced with mean value method.Descending logical During letter, the message amount received according to the message amounts sent of STA1 in a route cycle and STA2 is calculated descending Communicate success rate;During uplink communication, received according to the message amounts sent of STA2 in a route cycle and STA1 Message amount, calculate uplink communication success rate.It regard the product of uplink and downlink communication success rate as in a route cycle two again Communication success rate between individual website.Finally only do average value computing to the communication success rate in nearest multiple route cycles, and with This as link communication quality between STA1 and STA2 evaluation index.
It is single uplink and downlink success rate by the communication success rate between two websites in a route cycle in the present embodiment Product this concept, fully taken into account the interactivity of data transfer, it is more accurate compared to original computational methods, be also beneficial to The selection in path, is weighted averagely the communication success rate two websites in multiple cycles, overcomes data fluctuations in the monocycle Big shortcoming, weight is defined according to link condition.Its result can fully reflect the situation of nearest channel, improve link matter Amount, compared to the method using signal intensity as evaluation index, the link communication quality that evaluation can more reflect between website, Result of calculation can more accurately reflect the dynamic change of link communication quality, and be avoided that excessive fluctuation.
Referring to Fig. 3, a kind of communication success rate computing device of the power wire broadband carrier provided in the embodiment of the present invention One embodiment, including:
First computing unit 301, for the report sent in downlink communication by the first website in the predetermined route cycle The message amount that literary quantity and the second website are received, calculates downlink communication success rate, passes through the route in uplink communication The message amount that the message amount and the first website that the second website is sent in cycle are received, calculates uplink communication success rate;
Second computing unit 302, product calculation is carried out by the uplink communication success rate and the downlink communication success rate The communication success rate between the first website and the second website in the route cycle is obtained, calculates and is route described in nearest predetermined number Communication success rate weighted average in cycle between the first website and the second website.
The above is that the communication success rate computing device each unit to a kind of power wire broadband carrier is described in detail, under A kind of each extra cell of communication success rate computing device to power wire broadband carrier is described in detail in face, refers to figure 4, a kind of another embodiment bag of the communication success rate computing device of the power wire broadband carrier provided in the embodiment of the present invention Include:
Acquiring unit 401, the information frame for constructing message amount in the predetermined route cycle by the first website, passes through Second website constructs the information frame of message amount in the predetermined route cycle, passes through the first website and the second site switch information Frame, obtains the message amount A sent in downlink communication by the first website in the predetermined route cyclexiReceived with the second website The message amount K arrivedxi, and obtain the message amount A sent in uplink communication by the second website in the route cyclesi The message amount K received with the first websitesi, the predetermined route cycle is i-th of route cycle, i=1,2 ..., N, N For positive integer.
First computing unit 402, for the report sent in downlink communication by the first website in the predetermined route cycle The message amount that literary quantity and the second website are received, calculates downlink communication success rate, passes through the route in uplink communication The message amount that the message amount and the first website that the second website is sent in cycle are received, calculates uplink communication success rate;
First computing unit 402 is specifically included:
3rd computation subunit 4021, specifically for being sent out in downlink communication by the first website in i-th of route cycle The message amount A sentxiThe message amount K received with the second websitexi, downlink communication success rate P is calculated by the first formulaxi
4th computation subunit 4022, specifically for being sent out in uplink communication by the second website in i-th of route cycle The message amount A sentsiThe message amount K received with the first websitesi, uplink communication success rate P is calculated by the second formulasi
Wherein described first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website The message amount arrived, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website The message amount arrived, i=1,2 ..., N, N is positive integer.
Second computing unit 403, product calculation is carried out by the uplink communication success rate and the downlink communication success rate The communication success rate between the first website and the second website in the route cycle is obtained, calculates and is route described in nearest predetermined number Communication success rate weighted average in cycle between the first website and the second website.
Second computing unit 403 is specifically included:
The product calculation subelement 4031, specifically for by the uplink communication success rate PsiWith the downlink communication into Power PxiCarry out product calculation;
Described first obtains subelement 4032, specifically for obtaining the first website and the second website in i-th of route cycle Between communication success rate Pi
First computation subunit 4033, specifically for calculating first in i-th of route nearest n route cycle in cycle Communication success rate between website and the second website;
Second computation subunit 4034, specifically for calculating i-th of route week by n weighted value and the 3rd formula Communication success rate weighted average PJ in phase in the nearest n route cycle between the first website and the second websitei, the described 3rd is public Formula is:
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For i-th of route cycle nearest n route Communication success rate in cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1 >...>Wn
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description, The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with Realize by another way.For example, device embodiment described above is only schematical, for example, the unit Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, such as multiple units or component Another system can be combined or be desirably integrated into, or some features can be ignored, or do not perform.It is another, it is shown or The coupling each other discussed or direct-coupling or communication connection can be the indirect couplings of device or unit by some interfaces Close or communicate to connect, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs 's.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list Member can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If the integrated unit is realized using in the form of SFU software functional unit and as independent production marketing or used When, it can be stored in a computer read/write memory medium.Understood based on such, technical scheme is substantially The part contributed in other words to prior art or all or part of the technical scheme can be in the form of software products Embody, the computer software product is stored in a storage medium, including some instructions are to cause a computer Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the invention Portion or part steps.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.
Described above, the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although with reference to before Embodiment is stated the present invention is described in detail, it will be understood by those within the art that:It still can be to preceding State the technical scheme described in each embodiment to modify, or equivalent substitution is carried out to which part technical characteristic;And these Modification is replaced, and the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.

Claims (10)

1. a kind of communication success rate computational methods of power wire broadband carrier, it is characterised in that including:
S1:The message amount and the second website sent in downlink communication by the first website in the predetermined route cycle is received Message amount, calculate downlink communication success rate, in uplink communication pass through in the route cycle the second website send report The message amount that literary quantity and the first website are received, calculates uplink communication success rate;
S2:The uplink communication success rate and the downlink communication success rate are carried out into product calculation to obtain in the route cycle Communication success rate between first website and the second website, calculates in the route cycle described in nearest predetermined number the first website and the Communication success rate weighted average between two websites.
2. the communication success rate computational methods of power wire broadband carrier according to claim 1, it is characterised in that the step Rapid S2 is specifically included:
The uplink communication success rate and the downlink communication success rate are subjected to product calculation and obtain in the route cycle the Communication success rate between one website and the second website, and calculate the first website and in the route cycle described in nearest predetermined number Communication success rate between two websites, by predetermined number weighted value, calculates the communication that the cycle is route described in nearest predetermined number Success rate weighted average.
3. the communication success rate computational methods of power wire broadband carrier according to claim 2, it is characterised in that the step Also include before rapid S1:
S0:The information frame of message amount in the predetermined route cycle is constructed by the first website, is constructed by the second website predetermined The route cycle in message amount information frame, by the first website and the second site switch information frame, obtain in downlink communication In by the predetermined route cycle the first website send message amount AxiThe message amount K received with the second websitexi, And obtain the message amount A sent in uplink communication by the second website in the route cyclesiReceived with the first website Message amount Ksi, the predetermined route cycle be i-th route the cycle, i=1,2 ..., N, N is positive integer.
4. the communication success rate computational methods of power wire broadband carrier according to claim 3, it is characterised in that the step Rapid S1 is specifically included:
The message amount A sent in downlink communication by the first website in i-th of route cyclexiReceived with the second website Message amount Kxi, downlink communication success rate P is calculated by the first formulaxi, by i-th of route cycle in uplink communication The message amount A that second website is sentsiThe message amount K received with the first websitesi, calculate up logical by the second formula Believe success rate Psi, wherein first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website Message amount, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website Message amount, i=1,2 ..., N, N is positive integer.
5. the communication success rate computational methods of power wire broadband carrier according to claim 4, it is characterised in that the step Rapid S2 is specifically included:
By the uplink communication success rate PsiWith the downlink communication success rate PxiCarry out product calculation and obtain i-th of route cycle In communication success rate P between the first website and the second websitei, i-th of route week is calculated by the 3rd formula and n weighted value Communication success rate weighted average PJ in phase in the nearest n route cycle between the first website and the second websitei, the described 3rd is public Formula is:
<mrow> <msub> <mi>PJ</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>-</mo> <mi>k</mi> </mrow> </msub> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow>
PJiFor the communication success rate weighted average in i-th of route cycle, Pi、Pi-1......Pi-n+1For i-th of route cycle most Communication success rate in the nearly n route cycle between the first website and the second website, W0、W1......Wn-1For n weighted value, its Middle W0>W1>...>Wn
6. a kind of communication success rate computing device of power wire broadband carrier, it is characterised in that including:
First computing unit, in downlink communication by the predetermined route cycle the first website send message amount and The message amount that second website is received, calculates downlink communication success rate, passes through in the route cycle the in uplink communication The message amount that the message amount and the first website that two websites are sent are received, calculates uplink communication success rate;
Second computing unit, carries out product calculation by the uplink communication success rate and the downlink communication success rate and obtains described Communication success rate in the route cycle between the first website and the second website, calculates in the route cycle described in nearest predetermined number the Communication success rate weighted average between one website and the second website.
7. the communication success rate computing device of power wire broadband carrier according to claim 6, it is characterised in that described Two computing units are specifically included:
Product calculation subelement, specifically for the uplink communication success rate and the downlink communication success rate are carried out into product fortune Calculate;
First obtains subelement, specifically for obtaining the communication success in the route cycle between the first website and the second website Rate;
First computation subunit, specifically for calculate in the route cycle described in nearest predetermined number the first website and the second website it Between communication success rate;
Second computation subunit, specifically for by predetermined number weighted value, calculating in the route cycle described in nearest predetermined number Communication success rate weighted average between first website and the second website.
8. the communication success rate computing device of power wire broadband carrier according to claim 7, it is characterised in that also wrap Include:
Acquiring unit, the information frame for constructing message amount in the predetermined route cycle by the first website, passes through second station The information frame of message amount in the point construction predetermined route cycle, by the first website and the second site switch information frame, is obtained The message amount A sent in downlink communication by the first website in the predetermined route cyclexiThe report received with the second website Literary quantity Kxi, and obtain the message amount A sent in uplink communication by the second website in the route cyclesiWith first The message amount K that website is receivedsi, the predetermined route cycle is i-th of route cycle, i=1,2 ..., N, and N is just whole Number.
9. the communication success rate computing device of power wire broadband carrier according to claim 8, it is characterised in that described One computing unit is specifically included:
3rd computation subunit, specifically for the message sent in downlink communication by the first website in i-th of route cycle Quantity AxiThe message amount K received with the second websitexi, downlink communication success rate P is calculated by the first formulaxi
4th computation subunit, specifically for the message sent in uplink communication by the second website in i-th of route cycle Quantity AsiThe message amount K received with the first websitesi, uplink communication success rate P is calculated by the second formulasi
Wherein described first formula is:
Pxi=Kxi/Axi,
Second formula is:
Psi=Ksi/Asi,
Wherein, PxiFor downlink communication success rate, AxiThe message amount sent for the first website, KxiReceived for the second website Message amount, PsiFor uplink communication success rate, AsiThe message amount sent for the second website, KsiReceived for the first website Message amount, i=1,2 ..., N, N is positive integer.
10. the communication success rate computing device of power wire broadband carrier according to claim 9, it is characterised in that described Product calculation subelement, specifically for by the uplink communication success rate PsiWith the downlink communication success rate PxiCarry out product Computing;
Described first obtains subelement, logical between the first website and the second website in i-th of route cycle specifically for obtaining Believe success rate Pi
First computation subunit, specifically for calculating the first website and the in i-th of route nearest n route cycle in cycle Communication success rate between two websites;
Second computation subunit, specifically for calculating i-th of route cycle nearest n by n weighted value and the 3rd formula Communication success rate weighted average PJ in the individual route cycle between the first website and the second websitei, the 3rd formula is:
<mrow> <msub> <mi>PJ</mi> <mi>i</mi> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>k</mi> <mo>=</mo> <mn>0</mn> </mrow> <mrow> <mi>n</mi> <mo>-</mo> <mn>1</mn> </mrow> </munderover> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>-</mo> <mi>k</mi> </mrow> </msub> <mo>&amp;times;</mo> <msub> <mi>W</mi> <mi>k</mi> </msub> <mo>)</mo> </mrow> <mo>,</mo> </mrow>
PJiFor communication success rate weighted average, Pi、Pi-1......Pi-n+1For in i-th of route nearest n route cycle in cycle Communication success rate between first website and the second website, W0、W1......Wn-1For n weighted value, wherein W0>W1>...>Wn
CN201710642155.9A 2017-07-31 2017-07-31 The communication success rate computational methods and device of a kind of power wire broadband carrier Pending CN107317605A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108924045A (en) * 2018-09-27 2018-11-30 深圳友讯达科技股份有限公司 Dual-mode communications network channel balancing method and system
CN108964715A (en) * 2018-07-25 2018-12-07 北京智芯微电子科技有限公司 The method for reducing power line carrier communication radiation interference
CN113408834A (en) * 2021-08-19 2021-09-17 杭州炬华科技股份有限公司 Communication success rate prediction method and device based on self-learning

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101321092A (en) * 2008-07-07 2008-12-10 上海华为技术有限公司 Method and device for measuring service quality of internet protocol transmission network
CN102282895A (en) * 2009-01-14 2011-12-14 株式会社Ntt都科摩 Base station, wireless communication system, and wireless communication method
CN103765790A (en) * 2011-06-29 2014-04-30 德克萨斯仪器股份有限公司 Beacon selection in communication networks
CN104954046A (en) * 2014-03-31 2015-09-30 华为技术有限公司 Transmission method and device thereof based on power line communication
CN106201157A (en) * 2015-05-05 2016-12-07 阿里巴巴集团控股有限公司 The application control method of window, device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101321092A (en) * 2008-07-07 2008-12-10 上海华为技术有限公司 Method and device for measuring service quality of internet protocol transmission network
CN102282895A (en) * 2009-01-14 2011-12-14 株式会社Ntt都科摩 Base station, wireless communication system, and wireless communication method
CN103765790A (en) * 2011-06-29 2014-04-30 德克萨斯仪器股份有限公司 Beacon selection in communication networks
CN104954046A (en) * 2014-03-31 2015-09-30 华为技术有限公司 Transmission method and device thereof based on power line communication
CN106201157A (en) * 2015-05-05 2016-12-07 阿里巴巴集团控股有限公司 The application control method of window, device

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108964715A (en) * 2018-07-25 2018-12-07 北京智芯微电子科技有限公司 The method for reducing power line carrier communication radiation interference
CN108964715B (en) * 2018-07-25 2021-06-29 北京智芯微电子科技有限公司 Method for reducing power line carrier communication radiation interference
CN108924045A (en) * 2018-09-27 2018-11-30 深圳友讯达科技股份有限公司 Dual-mode communications network channel balancing method and system
CN108924045B (en) * 2018-09-27 2021-11-23 深圳友讯达科技股份有限公司 Channel measuring method and system for dual-mode communication network
CN113408834A (en) * 2021-08-19 2021-09-17 杭州炬华科技股份有限公司 Communication success rate prediction method and device based on self-learning
CN113408834B (en) * 2021-08-19 2021-12-21 杭州炬华科技股份有限公司 Communication success rate prediction method and device based on self-learning

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