CN108900269A - The Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line - Google Patents

The Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line Download PDF

Info

Publication number
CN108900269A
CN108900269A CN201810587418.5A CN201810587418A CN108900269A CN 108900269 A CN108900269 A CN 108900269A CN 201810587418 A CN201810587418 A CN 201810587418A CN 108900269 A CN108900269 A CN 108900269A
Authority
CN
China
Prior art keywords
distribution
ber
noise ratio
error rate
bit error
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201810587418.5A
Other languages
Chinese (zh)
Other versions
CN108900269B (en
Inventor
陈智雄
景方
景一方
韩东升
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China Electric Power University filed Critical North China Electric Power University
Priority to CN201810587418.5A priority Critical patent/CN108900269B/en
Publication of CN108900269A publication Critical patent/CN108900269A/en
Application granted granted Critical
Publication of CN108900269B publication Critical patent/CN108900269B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/391Modelling the propagation channel
    • H04B17/3911Fading models or fading generators
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/30Monitoring; Testing of propagation channels
    • H04B17/309Measuring or estimating channel quality parameters
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • H04B17/40Monitoring; Testing of relay systems
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/02Details
    • H04B3/46Monitoring; Testing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B3/00Line transmission systems
    • H04B3/54Systems for transmission via power distribution lines

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Quality & Reliability (AREA)
  • Power Engineering (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The present invention provides the Analysis on BER Performance methods of the double medium cooperation communication systems of wireless and power line, belong to double medium cooperative communication technology fields.Double medium cooperation communication systems include signal source S, relay node R, destination node D, it is wireless communication link SR between signal source S and relay node R, it is wireless communication link SD between signal source S and destination node D, is power line communications link RD between relay node R and destination node D.This method calculates the bit error rate P of SR first1 BER, then probability density function approximate algorithm based on Moment generating fuction equation calculates the signal-to-noise ratio of SD similar to the distribution parameter after logarithm normal distribution;Then the bit error rate P that SD and RD carries out the cumulative distribution function of the instantaneous output signal-to-noise ratio after selective merging and second jumps is calculated2 BER;Finally combine P1 BERAnd P2 BERTotal bit error rate is obtained, performance evaluation is carried out according to total bit error rate.Present invention reduces computation complexities, can get the optimal distributed parameter of instantaneous signal-to-noise ratio, accurately calculate the bit error rate of system.

Description

The Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line
Technical field
The present invention relates to double medium cooperation communication system technical fields, and in particular to a kind of double medium associations of wireless and power line Make the Analysis on BER Performance method of communication system.
Background technique
Power line communication (Power Line Communication, PLC) and wireless communication technique are Distribution Network Communications Important component is with a wide range of applications in the fields such as intelligent power and household Internet of Things.PLC can be by the electricity deposited Line of force infrastructure transmits information;Wireless communication has the characteristics that wireless access way flexibly and networking is simple.Wireless communication Differ from one another with PLC, combined power line and wireless double medium cooperative communication technologies can reallocate resources and optimize complementation, save Construction cost, lifting system overall performance.
Power line channel decline is modeled as logarithm normal distribution (Log normal, LogN) model by newest research.Nothing Line communication mainly uses Rayleigh and Nakagami equal distribution.Nakagami model can analog depth decline and shallow decline, in number It is easily handled, is used widely on;Rayleigh distributed essence belongs to Nakagami special case.
In power line and wireless cooperative relay system, for the system performance point of Nakagami-LogN mixing fade condition Analysis, there is following main problems:There is no the complexity that closure expression formula, performance calculate is excessively high, crucial for communication theory performance Analysis on technical excessively relies on Computer Simulation etc..
In view of under Nakagami fade condition, the instantaneous fading energy and signal-to-noise ratio of channel all meet Gamma distribution, And Gamma distribution and LogN distribution have certain similitude, this patent proposes a kind of for Gamma and LogN distribution function The calculation method of approximate LogN distribution parameter may be used on the Systems Theory performance of Nakagami- LogN mixing fade condition In calculating, there is wide application prospect and practical value.
Summary of the invention
The purpose of the present invention is to provide the complexities that one kind can simplify system performance calculating, obtain instantaneous signal-to-noise ratio Optimal distributed parameter, the mistake of the double medium cooperation communication systems of the wireless and power line of the bit error rate and interruption rate that accurately calculate system Code rate method for analyzing performance, to solve technical problem present in above-mentioned background technique.
To achieve the goals above, this invention takes following technical solutions:
A kind of Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line provided by the invention, institute State double medium cooperation communication systems include signal source S, relay node R, destination node D, the signal source S respectively with the relaying It is wirelessly communicated between node R and the destination node D, power line communication between the relay node R and the destination node D, This method comprises the following steps:
Step S110:Calculate the bit error rate P of the Radio Link SR of the signal source S and the relay node R1 BER
Step S120:PDF approximate algorithm based on Moment generating fuction MGF equation establishes performance function model, and according to institute It states performance function model and acquires the parameter for being similar to LogN distribution;
Step S130:For the Radio Link SD and its signal-to-noise ratio γ of the signal source S to the destination node DWDAnd institute State the electric power wired link RD and its signal-to-noise ratio γ of relay node R to the destination node DPLD, obtain the instantaneous output after SC merges Signal-to-noise ratio γDFCumulative distribution function FDF(λ);
Step S140:According to the FDFThe Analysis on BER Performance mixed under fade condition is converted into identical LogN by (λ) Performance evaluation under distribution occasion obtains the second bit error rate P jumped after SC merges2 BER
Step S140:In conjunction with the bit error rate P1 BERWith the bit error rate P2 BERObtain the total bit error rate of the system
Further, the step S110 includes:
Combining wireless channel fading coefficient and average signal-to-noise ratio can using Moment generating fuction MGF and Gaussian hypergeometric function Obtain bit error rate P1 BERClosure expression formula be:
Wherein, ΩRIndicate the amplitude of fading variance of Radio Link SR, mRIndicate the fading parameter of Radio Link SR, ΔWTable Show the average signal-to-noise ratio of wireless communication link,2F1(.,.;.;) indicate that Gaussian hypergeometric function, Γ () indicate gamma function.
Further, the step S120 includes:
Step S121:The MGF equation of Gamma distribution and LogN distribution variable is established respectively:
Known HWDIndicate the fading coefficients of Radio Link SD, thenMeet G (αDD), wherein αD=mDDD/ mD;Wherein, ΩDIndicate the amplitude of fading variance of Radio Link SD, mDThe form parameter for indicating the decline of Radio Link SD, is full Sufficient channel fading normalization, enables ΩD=1;
MGF meetAfter approximationThe variable of distribution MGF meetWhen i takes 1 and 2 respectively to dependent variable s1And s2
By G (αDD) distributionSimilar toEnable MPl(si)=MD(si) can obtain it is approximate after MGF equation:
Wherein, wnAnd anRespectively indicate the weight and zero point of Gauss-Hermite formula.
Step S122:MGF equation after the approximation established based on step S121, establishes performance function model, and acquires close Like the parameter of rear LogN distribution:
With G (αDD) distribution andThe minimum target of the otherness of distribution establishes performance function model:
Meet the following conditions:
1):
2):
3):Hj=0.01+0.05* (j-1);
4):J=1,2 ... N;
5):s1>0;
6):s2>0;
Wherein, HjIndicate the sampled value of wireless channel decline H, N indicates total sampling number of probability density function;
The PDF distribution parameter s can be acquired according to the performance function model1、s2AndSimilar to LogN points The parameter μ of clothD、σD
Step S123:According toIncorporating parametric μD、σD, determine γWDSimilar to Parameter μ afterwardswDWithWherein,μwD=ln (ΔW)+μD
Further, the step S130 includes:
Known HPLDIndicate the fading coefficients of electric power wired link RD, HPLDMeetEnable γPLDIt indicates The receiving end electric power wired link RD instantaneous signal-to-noise ratio, according to average signal-to-noise ratio ΔPLAnd the property of lognormal variable, it determinesAlso it will meet logarithm normal distributionAnd
In conjunction with electric power wired link RD output signal-to-noise ratio γPLDWith the output signal-to-noise ratio γ of Radio Link SDWD, obtain SC merging Instantaneous output signal-to-noise ratio γ afterwardsDFCumulative distribution function FDF(λ):
FDF(λ)=Pr (γDF< λ)=Pr (γWD< λ);
Using the complementary Cumulative Distribution Function of standardized normal distribution, also known as Q function, calculating is acquired:
Wherein, λ indicates the interruption thresholding signal-to-noise ratio after SC merging.
Further, the step S140 includes:
To the cumulative distribution function FDF(λ) quadratures, and the Analysis on BER Performance mixed under fade condition is converted into Performance evaluation under identical LogN distribution occasion, then bit error rate P2 BERFor:
Wherein,Indicate that the pulse number k of electric power wired link RD obeys the Poisson distribution that mean value is A;PN indicates arteries and veins The maximum number of noise is rushed, and, PN is greater than 20;
The Analysis on BER Performance mixed under fade condition is converted into the performance evaluation under identical LogN distribution occasion, then Bit error rate P2 BERFor:
Wherein, according to the decline distribution parameter of electric power wired link RDWithAPPROXIMATE DISTRIBUTION ParameterSolve constant Wt.k、Vt.k、Ut.k
Further, bit error rate P described in the combination1 BERWith the bit error rate P2 BERObtain the total bit error rate of the systemFor:
Beneficial effect of the present invention:The complexity that system performance calculating can be simplified can obtain best point of instantaneous signal-to-noise ratio Cloth parameter accurately calculates the bit error rate and interruption rate of system.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Attached drawing be briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others Attached drawing.
Fig. 1 is the architecture diagram of the double medium cooperation communication systems of wireless described in the embodiment of the present invention and power line.
Fig. 2 is to work as Δ described in the embodiment of the present inventionWPDF curve comparison schematic diagram when being 1.
Fig. 3 is to work as Δ described in the embodiment of the present inventionWPDF curve comparison schematic diagram when being 2.
Fig. 4 is outage probability Monte Carlo simulation performance described in the embodiment of the present invention and theoretical performance contrast schematic diagram.
Fig. 5 is bit error rate Monte Carlo simulation performance described in the embodiment of the present invention and theoretical performance contrast schematic diagram.
Specific embodiment
Embodiments of the present invention are described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein from beginning Same or similar element or module with the same or similar functions are indicated to same or similar label eventually.Below by ginseng The embodiment for examining attached drawing description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or modules, but it is not excluded that in the presence of or addition Other one or more features, integer, step, operation, element, module and/or their group.
It should be noted that in embodiment of the present invention unless specifically defined or limited otherwise, term is " even Connect ", " fixation " etc. shall be understood in a broad sense, may be a fixed connection, may be a detachable connection, or is integral, can be machine Tool connection, is also possible to be electrically connected, can be and be directly connected to, be also possible to be indirectly connected with by intermediary, can be two The interaction relationship of connection or two elements inside element, unless having specific limit.For those skilled in the art For, the concrete meaning of above-mentioned term in embodiments of the present invention can be understood as the case may be.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology Term and scientific term) there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Also answer It should be appreciated that those terms such as defined in the general dictionary should be understood that have in the context of the prior art The consistent meaning of meaning, and unless defined as here, it will not be explained in an idealized or overly formal meaning.
In order to facilitate understanding of embodiments of the present invention, further by taking specific embodiment as an example below in conjunction with attached drawing to be solved Explanation is released, and embodiment does not constitute the restriction to the embodiment of the present invention.
Those of ordinary skill in the art are it should be understood that attached drawing is the schematic diagram of one embodiment, the portion in attached drawing Part or device are not necessarily implemented necessary to the present invention.
Embodiment one
As shown in Figure 1, the embodiment of the present invention one provides a kind of double medium cooperation communication systems of wireless and power line, using double Three nodes (terminal S, D and relaying R) double bounce relay-model of medium mixing cooperation.It is carried out between mobile terminal S and node R, D It wirelessly communicates (WIC).Power line (PLC) communication is carried out between node R and D.Wireless channel decline therein meets Nakagami distribution.
In above system, the first time slot is that S uses transmission power PSSignal X is sent to relay node R and destination node DS; Second time slot is that R is handled (Hard decision decoding) acquisition relaying signal to received signal, then with power PRSend signal Give destination node D.
Channel in two time slots is all influenced by the decline of multiplying property and additive noise.The realization merged due to selective SC Complexity is lower, is suitable for double medium hybrid communication systems, thus terminal D finally uses SC to merge algorithm to the signal received It merges.
In Fig. 1, S is referred on power equipment or independent intelligence instrument perhaps sensor such as building or household Middle intelligent electric meter, the wireless sensor node in the transformer room of underground, infrared temperature camera contactless in substation, movement Formula RFID card reader etc..The corresponding typical case scene of Fig. 1:In order to solve the immovable access of PLC and high band radio wave Penetration capacity is restricted, decline the problems such as larger, and wireless access is used between intelligence instrument or sensor (S) and gateway D (S—>R) and PLC- wireless parallel relays (R->D mixing cooperation mode) realizes mobile access and telecommunication.
The wireless signal that first time slot node R and D are received is:
Wherein noise nWRAnd nWDMeet normal distribution N (0, NW);HWRAnd HWDFor wireless fading channel coefficient, meet Nakagami Distribution:
Wherein I ∈ { D, R }, mI>=0.5 is Nakagami parameter;Г (x) is gamma function; For the width that declines The variance of degree is normalized to guarantee that decline does not change the mean power of reception signal and enables ΩIIt is 1.
Enable ΔW=PS/NWIndicate channel average signal-to-noise ratio.Then according to forwarding formula (1) and (2), wireless channel receiving end Instantaneous signal-to-noise ratio is respectively:
It is knownMeet Gamma distribution G (αII), there is following form:
Wherein G (αII) with two kinds of Nakagami distribution parameters relationships meet αI=mI;βII/mI.According to Gamma The property of distribution works as Δ under the conditions of identical average signal-to-noise ratioWWhen for fixed constant, there is γWI~G (mIWΩI/ mI)。
Second time slot relay node R first carries out hard decision to the signal received using decoding forwarding DF agreement, then with function Rate PRIt is transmitted to destination node D.Enable XRIndicate that the signal of relay forwarding, the then signal that receiving end receives are:
Wherein HPLDFor power line fading coefficients satisfaction
Wherein μPLDAnd σPLDRespectively indicate lnHPMean value and mean square deviation.Channel fading envelope energy is normalized, to protect Card channel fading does not change the mean power of signal, enables,
I.e.
N in formula (7)PLDFor the impulsive noise of power line, using Mid-A impulsive noise model.The model is made an uproar by Gaussian Background Sound NGWith impulsive noise NIComposition, the probability density function of impulsive noise amplitude Z are:
Wherein Nk=N0(k/A+T)/(1+T) indicates the instantaneous total noise power of power line, T=NG/NIIndicate background The ratio of noise power and impulse noise power.N0=NG+NIFor average total noise power.In specific sampling instant, Mid-A mould The impulsive noise of type is formed by stacking by k Gaussian noise, and each noise model is all satisfied N (0, NI/A).Pulse number k obeys equal Value is the Poisson distribution (e of A-A·Ak)/k!, the maximum number of PN expression impulsive noise, and, PN is greater than 20.
Enable ΔPL=PR/Nk, the instantaneous signal-to-noise ratio of power line receiving end can be expressed as:
Then using after SC, total output signal-to-noise ratio of system is node D:
γDF=max (γPLDWD) (11)
The instantaneous mutual information of system is:
Embodiment two
Second embodiment of the present invention provides a kind of Outage probability of distributed antenna analysis sides of double medium cooperative systems as shown in Figure 1 Method.For the outage probability for obtaining system, need to analyze the information rate of each branch.When system information rate R is less than requirement When minimum speed limit thresholding, the normal communication of system will be interrupted.According to shannon formula, the information rate and signal-to-noise ratio of each branch are straight Correlation is connect, therefore analyzes the PDF of each branch signal-to-noise ratio first.
The signal-to-noise ratio γ of wireless channelWRAnd γWDMeet Gamma distribution.When receiving end signal-to-noise ratio is right less than thresholding institute is interrupted The signal-to-noise ratio γ answeredthWhen, interrupted communication link.According to formula (4) and (6), Gamma distribution function is integrated, then SR branch The outage probability on road is:
Wherein ν (a, b) indicates that incomplete Gamma function, mathematic(al) representation areГ (x) For gamma function.
Similarly, the outage probability of wireless direct link SD branch is:
The fading coefficients H of known power line channelPLDMeet LogN.According to LogN property, when average signal-to-noise ratio ΔPLIt is normal When number, then γPLDAlso it will meet logarithm normal distributionAnd
For γPLDMeet LogN distribution, the outage probability of the PLC link can be indicated with Q function:
Mixing decline and impulsive noise can be calculated in the outage probability of each branch in association type (13), (14) and (15) Under the conditions of, total outage probability of double medium cooperative relay systems:
Embodiment three
The embodiment of the present invention three provides a kind of Analysis on BER Performance method of system as shown in Figure 1.
For the bit error rate for solving DF cooperative relay system, communication system is divided into double bounce:SR link be the 1st jump, RD and SD parallel communication link is the 2nd jump.If P1 BERFor the bit error rate of SR link (the 1st jumps); P2 BERFor the 2nd jump parallel communication link into The bit error rate after row SC merging.
The fading coefficients H of the known 1st SR branch jumpedWRMeet Nakagami distribution, when the average signal-to-noise ratio of the link is ΔWWhen, to HWDIt quadratures, using MGF and Gaussian hypergeometric function, the bit error rate closure expression formula of wireless SR branch can be obtained:
Wherein,2F1(.,.;.;It) is Gaussian hypergeometric function.
Instantaneous output signal-to-noise ratio γ to obtain the 2nd bit error rate jumped, after needing computing system to merge using SCDFIt is tired Product distribution function.Because the radio leg and power line tributary signal in the 2nd jump are mutually indepedent, cumulative distribution function is obtained FDF(λ) is:
FDF(λ)=Pr (γDF< λ)=Pr (γWD< λ) Pr (γPLD< λ) (18)
Obviously, (18) formula is related to the product of (14) formula He (15) formula, to (18) formula FDF(λ), which quadratures, can be obtained the bit error rate P2 BER
Under mixing decline, in (18) formula ν (a, b) and the functions such as Г (x) integrate, algorithm complexity is larger, Therefore, the present embodiment is handled (19) formula using the approximate method of PDF, obtains closure expression formula with expectation.
It, can be by G (α since LogN distribution and Gamma distribution have certain similitudeDD) distributionSimilar toAccording to the property that LogN is distributed, signal-to-noise ratio γWDAlso LogN distribution will be obeyed, then it can be by bit error rate performance Analysis is converted into the performance evaluation problem under identical LogN distribution.
In PDF approximation, generallys use the equal mode of PDF statistical value and solve PDF parameter after approximation.Enable G (αDD) and LogN (μD2 D) mean value and variance it is equal, then have:
After equation transform, the key parameter of LogN can be obtained:
For approximation quality poor problem when carrying out PDF approximation in such a way that mean value and variance are equal.The present embodiment Three propose a kind of PDF approximate algorithm for being based on Moment generating fuction (Moment GeneratingFunction, MGF) equation, have Higher precision, and can be used for calculating instantaneous signal-to-noise ratio γWDPDF parameter.
It is knownMeet Gamma distribution G (αDD), wherein αD=mD, βDD/mD, ΩD=1;
MGF meetThe MGF of the variable of distribution is full Foot
Wherein, HWDIndicate the fading coefficients of Radio Link SD, i=(1,2) then utilizes MGF approximation method by G (αDD) point ClothSimilar toMake MPl(si)=MD(si):
Wherein, wnAnd anThe weight and zero point of Gauss-Hermite formula are respectively indicated, GN indicates Gauss-Hermite The weight of formula and the quantity of zero point, generally desirable 5,8 or 12, the numerical value of GN is bigger, Gauss-Hermite approximate calculation Precision is higher.
As shown in Fig. 2, to work as ΔWH2 when being 1 under difference approximation methodWDPDF curve comparison schematic diagram.It declines in channel (Ω is fallen under normalizing conditionD=1), for different parameters m and s1、s2Combination, provides H2WDTwo kinds of approximation methods PDF curve Comparative situation.As shown in Figure 2, compared with PDF statistical value approximation method, although MGF equation approximation method lacks analytical expression, but It is that can pass through s1And s2It is in optimized selection, and the precision of algorithm is relatively high;Fading parameter mDSmaller, channel fading is more serious, Therefore MGF equation approximation method is suitable for the lower situation of channel fading degree, works as mD>When 1.5, the probability density of channel is approximate Effect is relatively good;Work as mD>It, can be by s when 1.51It is set as 3;s2With mDThe increase of value and increased, work as mDWhen=2, s2Take 7; Work as mDWhen increasing to 2.5, s2Desirable 10;Work as mDWhen=3, s2It takes 15 appropriate.
Example IV
The embodiment of the present invention four provides parameter μ in a kind of reduction embodiment threeDWithThe method of computation complexity, the party Method is based on the minimum target of PDF curve difference, establishes performance function model.
In order to reduce complexity, by s in the present embodiment1It is set as 3.It, can be with probability density curve difference in practical application It spends minimum target and has carried out mathematical modeling, solve optimal s1And s2Combination, for wireless fading channel parameter alphaD=mD;βDD/ mD, using PDF expression formula (6) and (8), with s1And s2For variable, following mathematical model is established:
Meet the following conditions:
1):
2):
3):Hj=0.01+0.05* (j-1);
4):J=1,2 ... N;
5):s1>0;
6):s2>0;
Wherein HjIndicate the sampled value of wireless channel decline H, N indicates total sampling number (this selected works of probability density function Take N=100).The mathematical model calculates each decline sampled value H using the goodness of fit of PDF curve as optimization aimiCorresponding two The difference of a probability density function values square is weighted again.The intelligent optimization algorithms such as genetic algorithm can be used in the mathematical model To solve.Using the above method, MGF equation approximately best s value can be established, as shown in table 1.
Table 1
Embodiment five
The embodiment of the present invention five provides a kind of PDF progress approximation first normalized to decline, in conjunction with signal-to-noise ratio ΔWMeter Calculate γWDThe method of equivalent parameters, specific steps are summarized as follows:
1) existThat is ΩDUnder conditions of=1, forDifferent fading parameter mD, close using MGF equation Seemingly, s1With s2The method of optimum choice calculates G (αDD) similar to the parameter μ of LogN distributionDAnd σD
2) becauseStep 2 need to be according to ΔWDetermine variable γWDSimilar toAfterwards Key parameter:
σWD 2D 2 (24)
μWD=ln (ΔW)+μD (25)
According to above-mentioned calculating step, as shown in figure 3, to work as ΔWγ when being 2, under different approximation methodsWDPDF curve Contrast schematic diagram.In Fig. 3, mean variance approximation method is compared, the MGF method that the present embodiment uses has preferably approximate effect Fruit.Obviously can not have to repeat capable of obtaining preferably for computer numerical experiment using MGF approximation method set forth above PDF propinquity effect.
In the present embodiment four, after PDF approximate processing, the Analysis on BER Performance mixed under fade condition is converted into phase With the performance evaluation problem under LogN distribution occasion, then the 2nd bit error rate performance jumped is:
Wherein Wt.k、Vt.k、Ut.kConstant and power line channel decline distribution parameterWithIt is close Like distribution parameterIt is related, meet following relationship:
Yt,kL+T2+4(μL+R2k-ln0.5)σL/R3k 2
T1=0.769;T2=1.527;T3=1.393;
R1k、R2kAnd R3kValue it is as shown in table 2:
Table 2
The bit error rate P that BPSK modulates lower two-hop link then can be calculated according to (17) formula and (26) formula1 BERAnd P2 BER, Finally mix the total bit error rate of cooperative systemFor:
Simulation comparison experiment
For the accuracy of proof theory formula, Monte Carlo simulation experiment has been carried out using Matlab software.Meng Teka Lip river emulation mode is also known as statistics curvaturev, is a kind of stochastic simulation and calculation method based on probability and statistical theory, it Mathematics and engineering problem are approximatively solved using statistical sampling theory, the experiment for being widely applied to the information communications field is tested In card.The theoretical performance that simulation performance is calculated with numerical value is compared and analyzed first, with guarantee subsequent analysis mixing decline and The reliability of the factors such as power influence system performance mechanism.
With reference to existing bibliography, for without loss of generality, in emulation and calculating process, if without specified otherwise, Fig. 1 mould Parameter in type uses following default setting:Power is defined with the variance that noise PDF is distributed, if system total power is 2, PS=1, PR=1;In order to protrude the influence of channel fading and noise profile to performance, it is assumed that the average signal-to-noise ratio of system channel is SNR, NW=Nk=1/SNR, i.e. ΔPLW=Δ;The parameter of impulsive noise:A=0.2, T=0.01, the maximum value of k in theoretical formula For PN=100.
Using the above parameter setting, MGF is enabled to indicate that Moment generating fuction is approximate, Mean-Var indicates that mean variance is approximate.Fig. 4 The outage probability and bit error rate performance of DF relay system when compared different channels attenuation parameter with Fig. 5.In view of practical application In, tie link SD is good not as good as the channel condition of near radio link SR, and m is set in emulationDIt is 1, mRValue is greater than 1.Analysis can Drawn a conclusion:
1) in Fig. 4, since the outage probability formula of derivation is not related to probability density approximation, with the increase of SNR, according to reason The theoretical performance (theo) of outage probability is calculated by formula and emulation (simu) performance curve relatively coincide, and demonstrates outage probability The reliability of theoretical formula.In Fig. 4, when one timing of decline index, average signal-to-noise ratio SNR is bigger, and the outage probability of system is smaller.
2) Fig. 5 compared emulation (simu) and notional result (theo) of error rate of system.Although tie link SD is enterprising The Gamma that gone distribution is approximate with the probability density that LogN is distributed, but under the conditions of high s/n ratio (when SNR is greater than 14dB), reason It is consistent substantially by performance and simulation performance.
It, can be in conclusion combined power line described in the embodiment of the present invention and wireless double medium cooperative communication technologies Configuration of superiorities resource saves construction cost, lifting system overall performance.Cooperative system is mixed for double mediums, using being based on The mixed channel of Nakagami and LogN declines and multidimensional impulsive noise model, establishes system performance analysis frame and using MGF Equation approximation scheduling algorithm solves the system performance expression formula of closure.It declines for indoor and outdoor wireless universal Nakagami, it is wireless to prop up Road signal-to-noise ratio has preferable reliability using the approximate conversion of Gamma distribution-LogN distribution, and related conclusions can be double for indoor and outdoor The application of medium cooperative communication technology provides necessary theories integration.
As seen through the above description of the embodiments, those skilled in the art can be understood that the present invention can It realizes by means of software and necessary general hardware platform.Based on this understanding, technical solution of the present invention essence On in other words the part that contributes to existing technology can be embodied in the form of software products, the computer software product It can store in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the certain of each embodiment or embodiment of the invention Method described in part.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art, It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims Subject to.

Claims (6)

1. a kind of Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line, double medium cooperations are logical Letter system include signal source S, relay node R, destination node D, the signal source S respectively with the relay node R and the mesh Node D between wirelessly communicate, power line communication between the relay node R and the destination node D, which is characterized in that should Method includes the following steps:
Step S110:Calculate the bit error rate P of the Radio Link SR of the signal source S and the relay node R1 BER
Step S120:PDF approximate algorithm based on Moment generating fuction MGF equation establishes performance function model, and according to the achievement Effect function model acquires the parameter for being similar to LogN distribution;
Step S130:For the Radio Link SD and its signal-to-noise ratio γ of the signal source S to the destination node DWDAnd it is described in After the electric power wired link RD and its signal-to-noise ratio γ of node R to the destination node DPLD, instantaneous defeated after obtaining selection combination SC Signal-to-noise ratio γ outDFCumulative distribution function FDF(λ);
Step S140:According to the FDFThe Analysis on BER Performance mixed under fade condition is converted into identical LogN and is distributed by (λ) Under the conditions of performance evaluation, obtain SC merge after second jump the bit error rate
Step S140:In conjunction with the bit error rate P1 BERWith the bit error rateObtain the total bit error rate of the system
2. the Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line according to claim 1, It is characterized in that, the step S110 includes:
Combining wireless channel fading coefficient and average signal-to-noise ratio can must be missed using Moment generating fuction MGF and Gaussian hypergeometric function Code rate P1 BERClosure expression formula be:
Wherein, ΩRIndicate the amplitude of fading variance of Radio Link SR, mRIndicate the fading parameter of Radio Link SR, ΔWIndicate without The average signal-to-noise ratio of line communication link,2F1(.,.;.;) indicate that Gaussian hypergeometric function, Γ () indicate gamma function.
3. the Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line according to claim 2, It is characterized in that, the step S120 includes:
Step S121:The MGF equation of Gamma distribution and LogN distribution variable is established respectively:
Known HWDIndicate the fading coefficients of Radio Link SD, thenMeet Gamma distribution, with G (αDD) indicate, wherein αD= mDDD/mD;Wherein, ΩDIndicate the amplitude of fading variance of Radio Link SD, mDIndicate the shape of the decline of Radio Link SD Parameter enables Ω to meet channel fading normalizationD=1;
MGF meetAfter approximationThe MGF of the variable of distribution MeetWhen i takes 1 and 2 respectively to dependent variable s1And s2
By G (αDD) distributionSimilar toEnable MPl(si)=MD(si) can obtain it is approximate after the side MGF Journey:
Wherein, wnAnd anThe weight and zero point of Gauss-Hermite formula are respectively indicated, GN indicates Gauss-Hermite formula The quantity of weight and zero point;
Step S122:MGF equation after the approximation established based on step S121, establishes performance function model, and after acquiring approximation The parameter of LogN distribution:
With G (αDD) distribution andThe minimum target of the otherness of distribution establishes performance function model:
Meet the following conditions:
1):
2):
3):Hj=0.01+0.05* (j-1);
4):J=1,2 ... N;
5):s1>0;
6):s2>0;
Wherein, HjIndicate the sampled value of wireless channel decline H, N indicates total sampling number of probability density function;
The PDF distribution parameter s can be acquired according to the performance function model1、s2AndSimilar to the ginseng of LogN distribution Number μD、σD
Step S123:According toIncorporating parametric μD、σD, determine γWDSimilar toAfterwards Parameter μwDWithWherein,μwD=ln (ΔW)+μD
4. the Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line according to claim 3, It is characterized in that, the step S130 includes:
Known HPLDIndicate the fading coefficients of electric power wired link RD, HPLDMeetEnable γPLDIndicate electric power The receiving end wired link RD instantaneous signal-to-noise ratio, according to average signal-to-noise ratio ΔPLAnd the property of lognormal variable, it determinesAlso it will meet logarithm normal distributionAnd
In conjunction with electric power wired link RD output signal-to-noise ratio γPLDWith the output signal-to-noise ratio γ of Radio Link SDWD, after obtaining SC merging Instantaneous output signal-to-noise ratio γDFCumulative distribution function FDF(λ):
FDF(λ)=Pr (γDF< λ)=Pr (γWD< λ);
It is acquired using the calculating of Q function:
Wherein, λ indicates the interruption thresholding signal-to-noise ratio after SC merging.
5. the Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line according to claim 4, It is characterized in that, the step S140 includes:
To the cumulative distribution function FDF(λ) quadratures, and the Analysis on BER Performance mixed under fade condition is converted into identical Performance evaluation under LogN distribution occasion, the then bit error rateFor:
Wherein,Indicate that the pulse number k of electric power wired link RD obeys the Poisson distribution that mean value is A;PN indicates that pulse is made an uproar The maximum number of sound, and, PN is greater than 20;
The Analysis on BER Performance mixed under fade condition is converted into the performance evaluation under identical LogN distribution occasion, then error code Rate P2 BERFor:
Wherein, according to the decline distribution parameter of electric power wired link RDWithAPPROXIMATE DISTRIBUTION parameterSolve constant Wt.k、Vt.k、Ut.k
6. the Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line according to claim 5, It is characterized in that:Bit error rate P described in the combination1 BERWith the bit error rateObtain the total bit error rate of the systemFor:
CN201810587418.5A 2018-06-08 2018-06-08 Error rate performance analysis method of wireless and power line dual-medium cooperative communication system Active CN108900269B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810587418.5A CN108900269B (en) 2018-06-08 2018-06-08 Error rate performance analysis method of wireless and power line dual-medium cooperative communication system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810587418.5A CN108900269B (en) 2018-06-08 2018-06-08 Error rate performance analysis method of wireless and power line dual-medium cooperative communication system

Publications (2)

Publication Number Publication Date
CN108900269A true CN108900269A (en) 2018-11-27
CN108900269B CN108900269B (en) 2021-02-02

Family

ID=64344357

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810587418.5A Active CN108900269B (en) 2018-06-08 2018-06-08 Error rate performance analysis method of wireless and power line dual-medium cooperative communication system

Country Status (1)

Country Link
CN (1) CN108900269B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109547140A (en) * 2019-01-15 2019-03-29 华北电力大学(保定) Double medium mixing fading communication system performance analysis methods based on AF agreement
CN110621036A (en) * 2019-09-24 2019-12-27 华北电力大学(保定) Interrupt probability calculation model of mixed medium communication system and self-adaptive relay method
CN110620628A (en) * 2019-08-21 2019-12-27 华北电力大学(保定) Multi-dimensional lognormal approximate wireless and power line relay communication performance calculation method
CN111698057A (en) * 2020-05-09 2020-09-22 河北百亚信息科技有限公司 Method for analyzing probability of unary coded modulation symbols for wireless data simultaneous transmission

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5784297A (en) * 1997-01-13 1998-07-21 The United States Of America As Represented By The Secretary Of The Navy Model identification and characterization of error structures in signal processing
CN1921334A (en) * 2006-09-01 2007-02-28 清华大学 Space-time grouping code downriver transmitting power distributing method based on error sign ratio
US20080055052A1 (en) * 2006-08-30 2008-03-06 Delta Electronics, Inc. Network transmission system and power line communication device thereof
CN102801637A (en) * 2012-09-06 2012-11-28 深圳市国电科技通信有限公司 Automatic power line-wireless communication mixed networking method
CN103582027A (en) * 2013-12-02 2014-02-12 北京中电普华信息技术有限公司 Method and device for estimating wireless communication channel parameters
CN106327099A (en) * 2016-08-31 2017-01-11 华北电力大学(保定) Communication network comprehensive performance evaluation parameter weight determination and adjusting method
CN107566016A (en) * 2017-08-14 2018-01-09 哈尔滨工业大学深圳研究生院 A kind of error sign ratio computational methods of dual polarization mimo system
CN108012318A (en) * 2017-08-31 2018-05-08 长安大学 A kind of method that bilateral relay network performance is improved using random energies collection technique

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5784297A (en) * 1997-01-13 1998-07-21 The United States Of America As Represented By The Secretary Of The Navy Model identification and characterization of error structures in signal processing
US20080055052A1 (en) * 2006-08-30 2008-03-06 Delta Electronics, Inc. Network transmission system and power line communication device thereof
CN1921334A (en) * 2006-09-01 2007-02-28 清华大学 Space-time grouping code downriver transmitting power distributing method based on error sign ratio
CN102801637A (en) * 2012-09-06 2012-11-28 深圳市国电科技通信有限公司 Automatic power line-wireless communication mixed networking method
CN103582027A (en) * 2013-12-02 2014-02-12 北京中电普华信息技术有限公司 Method and device for estimating wireless communication channel parameters
CN106327099A (en) * 2016-08-31 2017-01-11 华北电力大学(保定) Communication network comprehensive performance evaluation parameter weight determination and adjusting method
CN107566016A (en) * 2017-08-14 2018-01-09 哈尔滨工业大学深圳研究生院 A kind of error sign ratio computational methods of dual polarization mimo system
CN108012318A (en) * 2017-08-31 2018-05-08 长安大学 A kind of method that bilateral relay network performance is improved using random energies collection technique

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
YUWEN QIAN 等: "Design of Hybrid Wireless and Power Line Sensor Networks With Dual-Interface Relay in IoT", 《IEEE INTERNET OF THINGS JOURNAL》 *
陈智雄 等: "室内无线和电力线双媒质协作通信系统性能研究", 《中国电机工程学报》 *

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109547140A (en) * 2019-01-15 2019-03-29 华北电力大学(保定) Double medium mixing fading communication system performance analysis methods based on AF agreement
CN109547140B (en) * 2019-01-15 2021-07-16 华北电力大学(保定) Double-medium mixed fading communication system performance analysis method based on AF protocol
CN110620628A (en) * 2019-08-21 2019-12-27 华北电力大学(保定) Multi-dimensional lognormal approximate wireless and power line relay communication performance calculation method
CN110621036A (en) * 2019-09-24 2019-12-27 华北电力大学(保定) Interrupt probability calculation model of mixed medium communication system and self-adaptive relay method
CN110621036B (en) * 2019-09-24 2022-02-01 华北电力大学(保定) Interrupt probability calculation model of mixed medium communication system and self-adaptive relay method
CN111698057A (en) * 2020-05-09 2020-09-22 河北百亚信息科技有限公司 Method for analyzing probability of unary coded modulation symbols for wireless data simultaneous transmission
CN111698057B (en) * 2020-05-09 2022-11-04 河北百亚信息科技有限公司 Method for analyzing probability of unary coded modulation symbols for wireless data simultaneous transmission

Also Published As

Publication number Publication date
CN108900269B (en) 2021-02-02

Similar Documents

Publication Publication Date Title
CN108900269A (en) The Analysis on BER Performance method of the double medium cooperation communication systems of wireless and power line
CN109547140A (en) Double medium mixing fading communication system performance analysis methods based on AF agreement
Fan et al. Optimal multi-channel cooperative sensing in cognitive radio networks
CN102118199B (en) Implementation method of multi-antenna spectrum sensing scheme based on space-time diversity
CN106027183B (en) A kind of method fast implementing Composite Fading Channels cumulative distribution Performance Evaluation
CN104320845B (en) A kind of primary user&#39;s localization method based on sensor and quantum intelligence computation
CN109714737B (en) D2D covert communication system with full-duplex base station cellular network and communication method thereof
CN104780006A (en) Frequency spectrum detector soft fusion method based on minimum error probability rule
CN103763706A (en) Collaborative spectrum sensing vague fusion method based on clustering
US20200169883A1 (en) Security Detection Method for Physical Layer Authentication System
CN103795479A (en) Cooperative spectrum sensing method based on characteristic values
Luo et al. Link quality estimation method for wireless sensor networks based on stacked autoencoder
Niu et al. Decision fusion rules in wireless sensor networks using fading channel statistics
CN101895494B (en) Stochastic resonance preprocessing-based digital modulation mode automatic identification method
CN103684626A (en) Multi user cooperative frequency spectrum sensing data fusion method and device
CN101615926A (en) Asynchronous cooperation frequency spectrum sensing method in the cognitive radio
CN105634634B (en) A kind of asynchronous channel cognitive method there are unknown timing
CN106357367A (en) Non-coherent joint detecting and channel decoding method under massive MIMO (multiple input multiple output) system
CN106656612B (en) A kind of approximation method for super-intensive network system traversal and rate
CN103117773B (en) Chaos ultra wide brand traffic flow collection system utilizing terminal cooperation and collection method
Yu et al. A four-state Markov frame error model for the wireless physical layer
Nadendla et al. Strategic communication between prospect theoretic agents over a Gaussian test channel
CN102811189B (en) Probability control-based anti-interference method for cognitive code division multiple access (CDMA) communication system
CN106793051B (en) Data transmission method and receiving end
CN110620628B (en) Multi-dimensional lognormal approximate wireless and power line relay communication performance calculation method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20181127

Assignee: Hebei yunkong Electric Technology Co.,Ltd.

Assignor: NORTH CHINA ELECTRIC POWER University (BAODING)

Contract record no.: X2023990000970

Denomination of invention: Error Rate Performance Analysis Method for Wireless and Power Line Dual Media Collaborative Communication Systems

Granted publication date: 20210202

License type: Common License

Record date: 20231208

Application publication date: 20181127

Assignee: Baoding Boyun Electric Technology Co.,Ltd.

Assignor: NORTH CHINA ELECTRIC POWER University (BAODING)

Contract record no.: X2023990000969

Denomination of invention: Error Rate Performance Analysis Method for Wireless and Power Line Dual Media Collaborative Communication Systems

Granted publication date: 20210202

License type: Common License

Record date: 20231208

EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20181127

Assignee: TIANJIN OPTOELECTRONICS ANCHEN INFORMATION TECHNOLOGY CO.,LTD.

Assignor: NORTH CHINA ELECTRIC POWER University (BAODING)

Contract record no.: X2024980000350

Denomination of invention: Error Rate Performance Analysis Method for Wireless and Power Line Dual Media Collaborative Communication Systems

Granted publication date: 20210202

License type: Common License

Record date: 20240108

EE01 Entry into force of recordation of patent licensing contract
EE01 Entry into force of recordation of patent licensing contract

Application publication date: 20181127

Assignee: Hebei Xiong'an Bowei Intelligent Technology Co.,Ltd.

Assignor: NORTH CHINA ELECTRIC POWER University (BAODING)

Contract record no.: X2024990000155

Denomination of invention: Error Rate Performance Analysis Method for Wireless and Power Line Dual Media Collaborative Communication Systems

Granted publication date: 20210202

License type: Common License

Record date: 20240416