CN107172636A - A kind of WiFi method of rate control based on environment noisy degree and STA distances - Google Patents
A kind of WiFi method of rate control based on environment noisy degree and STA distances Download PDFInfo
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- CN107172636A CN107172636A CN201710343143.6A CN201710343143A CN107172636A CN 107172636 A CN107172636 A CN 107172636A CN 201710343143 A CN201710343143 A CN 201710343143A CN 107172636 A CN107172636 A CN 107172636A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
- H04W84/10—Small scale networks; Flat hierarchical networks
- H04W84/12—WLAN [Wireless Local Area Networks]
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Abstract
The invention provides a kind of WiFi method of rate control based on environment noisy degree and STA distances, this method includes：The multiple sense nodes of random placement in WIFI systems, cooperation completes sensing and the upload of WIFI network；According to sensing result, channel optimization is carried out using particle cluster algorithm.The present invention proposes a kind of WiFi method of rate control based on environment noisy degree and STA distances, the situation of wireless electromagnetic environment is more obtained in real time and exactly, so as to be optimized to network transmission channel, it is to avoid crosstalk, lifting system performance.
Description
Technical field
The present invention relates to wireless network, more particularly to a kind of WiFi speed controls based on environment noisy degree and STA distances
Method.
Background technology
WiFi technology is developed rapidly, as the whole world most and general network access technique, essentially all of use
Family mobile device, including smart mobile phone, tablet personal computer, notebook computer are provided with WIFI access capabilities.But at the same time, WIFI
The cross-interference issue of system also progressively turns into the most problem of influence actual deployment, including microwave, bluetooth, radar etc. between crosstalk and system
Crosstalk.To solve the cross-interference issue of WIFI systems, the scheme that prior art is taken, which is mainly, expands new band resource, reduces work
Make the probability that channel is repeated.But with more users selection WIFI online, moreover, 802.11ac is to reach single user peak value
Bandwidth demand is doubled and redoubled, and frequency band expanding can not meet the demand of network Development all the time.
The content of the invention
To solve the problems of above-mentioned prior art, the present invention propose it is a kind of based on environment noisy degree and STA away from
From WiFi method of rate control, including：
The multiple sense nodes of random placement in WIFI systems, cooperation completes sensing, collection and the processing of WIFI network；
According to sensing result, channel optimization is carried out using particle cluster algorithm.
Preferably, in the WIFI systems, the working band and transmission power of access node are controlled by AC routers
System；User terminal is communicated by eating dishes without rice or wine with access node, obtains signaling and data, services；Work of the sense node to WIFI
Make frequency band to be sensed, and sensing result is reported to neighbouring aggregation node；Aggregation node is selected most preferably according to sensing result
Working band is communicated, and the frequency band sensing result that access node and user terminal are obtained carries out integrated in AC routers.
Preferably, the sense node uses following sensing algorithm：
For single sense node, frequency band sensing is expressed as a detecting event：
Wherein x (t) represents the signal that sense node is received, and s (t) is the transmission signal of sensing object, and n (t) is noise,
H represents channel gain, event H0Represent frequency band idle, event H1Frequency band is represented to hurry；
Frequency band acquisition probability PdDetermined by channel response h：
Wherein λ is the decision threshold of energy measuring, and Qm functions are defined as：
Channel response h is continually changing due to decay, now acquisition probability PdIt is expressed as：
Wherein r is deamplification signal to noise ratio, fr(x) it is the probability density function of reflection signal to noise ratio change under damp condition：
If in the frequency band sensing result independent same distribution of each node, n node, if more than k node judgement is
H1, it is determined that frequency band is occupied；
The acquisition probability Q of combine frequency band sensingdIt is expressed as：
Qd=1- (1-Pd)n
N represents to participate in the interstitial content of frequency band sensing.
Preferably for sampled signal, signal is split using orthogonal window, each several part cyclic graph is calculated, finally
Superposition is carried out, frequency band estimation is obtained.
Preferably, the communication process between the sense node and aggregation node is：
Step1：Sense node is given tacit consent in a dormant state, with TwFor periodic awakening, detect whether there is searching request；
Step2：Aggregation node event or cycle triggering searching request, the cycle is T0；
Step3：If sense node detects searching request, and the not actuated frequency band sensing in period demand, then open immediately
Dynamic working band sensing；
Step4：After frequency band sensing terminates, sense node is with TrStart sensing result for the cycle to report, report after 3 times, weight
Newly resting state is entered, and cache frequency band sensing result；
Step5：Searching request sends the time and reaches predetermined interval T1Afterwards, aggregation node starts sensing results acquisition；
Step6：Report summarizing and reporting to AC routers all sensings collected.
Preferably, the sensing request of the sense node continues the sufficiently long time, to ensure the sense near aggregation node
Survey node and listen to searching request；And the feedback of sensitive information is short enough, to avoid the collision between node.
Preferably, it is described according to sensing result, channel optimization is carried out using particle cluster algorithm, further comprised：
After sensing result is converged, AC routers obtain the cross talk conditions of network；Network is carried out by Channel assignment
Optimization, under conditions of the constraints that each access node can only select a channel, being calculated using particle cluster algorithm is made
Obtain the minimum solution of whole network up-downgoing overall crosstalk level.
The present invention compared with prior art, with advantages below：
The present invention proposes a kind of WiFi method of rate control based on environment noisy degree and STA distances, more in real time and
The situation of wireless electromagnetic environment is obtained exactly, so as to be optimized to network transmission channel, it is to avoid crosstalk, lifting system
Energy.
Brief description of the drawings
Fig. 1 is the stream of the WiFi method of rate control according to embodiments of the present invention based on environment noisy degree and STA distances
Cheng Tu.
Embodiment
Retouching in detail to one or more embodiment of the invention is hereafter provided together with illustrating the accompanying drawing of the principle of the invention
State.The present invention is described with reference to such embodiment, but the invention is not restricted to any embodiment.The scope of the present invention is only by right
Claim is limited, and the present invention covers many replacements, modification and equivalent.Illustrate in the following description many details with
Thorough understanding of the present invention is just provided.These details are provided for exemplary purposes, and without in these details
Some or all details can also realize the present invention according to claims.
An aspect of of the present present invention provides a kind of WiFi method of rate control based on environment noisy degree and STA distances.Fig. 1
It is the WiFi method of rate control flow charts according to embodiments of the present invention based on environment noisy degree and STA distances.
The present invention completes the sensing to WIFI systems, adopted by largely having the random node of sensing function to be cooperated
Collection and processing.In the WIFI systems of the present invention, the working band and transmission power of access node are controlled by AC routers
System；User terminal is communicated by eating dishes without rice or wine with access node, obtains signaling and data, services.The scope covered in WIFI systems
Interior, random distribution some sense nodes, and WIFI working band is sensed, and sensing result is reported to neighbouring convergence
Node；Aggregation node selects optimal working band to be communicated according to sensing result.The frequency that access node and user terminal are obtained
Band sensing result carries out integrated in AC routers.
Sense node in the present invention uses following sensing algorithm.
For single sense node, frequency band sensing is expressed as a detecting event：
Wherein x (t) represents the signal that sense node is received, and s (t) is the transmission signal of sensing object, and n (t) is noise,
H represents channel gain.Event H0Represent frequency band idle, event H1Frequency band is represented to hurry.
Frequency band acquisition probability PdDetermined by channel response h：
Wherein λ is the decision threshold of energy measuring, and Qm functions are defined as：
Channel response h is continually changing due to decay, now acquisition probability PdIt is expressed as
Wherein r is deamplification signal to noise ratio, fr(x) it is the probability density function of reflection signal to noise ratio change under damp condition.
If in the frequency band sensing result independent same distribution of each node, n node, if more than k node judgement is
H1, it is determined that frequency band is occupied.The acquisition probability Q of combine frequency band sensingdIt is expressed as：
Qd=1- (1-Pd)n
N represents to participate in the interstitial content of frequency band sensing.
For sampled signal, the present invention is split using orthogonal window to signal, calculates each several part cyclic graph, most laggard
Row superposition, obtains frequency band estimation.In order that the deviation and mean square error of estimate are smaller.Define following characteristics sequence：
Wherein N is the length of characteristic vector, the frequency band that [- W, W] is concentrated by energy.
Sampled data x (n), n=0,1 are obtained in frequency band ... N-1；It is determined that after N and W value, calculating feature vk,
The characteristic value for being ordered as preceding 2N × W prepares the follow-up characteristic coefficient x for calculating, then calculating x (n)k(f)：
K characteristic coefficient is averaged, complete Power estimation is obtained：
Communication plan between sense node and aggregation node takes into account power saving demand and the association of aggregation node of sense node
With effect demand.Specifically communication process is：
Step1：Sense node is given tacit consent in a dormant state, using Tw as periodic awakening, detects whether there is searching request；
Step2：Aggregation node event or cycle triggering searching request, the cycle is T0；
Step3：If sense node detects searching request, and the not actuated frequency band sensing in period demand, then open immediately
Dynamic working band sensing；
Step4：After frequency band sensing terminates, sense node is with TrStart sensing result for the cycle to report, report after 3 times, weight
Newly resting state is entered, and cache frequency band sensing result；
Step5：Searching request sends the time and reaches predetermined interval T1Afterwards, aggregation node starts sensing results acquisition；
Step6：Report summarizing and reporting to AC routers all sensings collected.
The sensing request of sense node continues the sufficiently long time to ensure that the sense node near aggregation node is monitored
To searching request；And the feedback of sensitive information is short enough, to avoid the collision between node.
After sensing result is converged, AC routers obtain the cross talk conditions of network.Network is carried out by Channel assignment
Optimization, to obtain optimal network performance.
Optimum channel selection algorithm
Define i=1,2 ... .., N；N is the number of access node in network；
J=1,2 ..., M；M is the number of available channel；
K=0,1,2 ..., K；K is the number of user terminal under single access node, is access node during k=0；
L=1,2 ... ..., L；L is the sense node number under single aggregation node；
When the sensing result RS of available channel is reported to aggregation node by sense node；
RSK, l={ RS1, RS2... ... RSM}
Definition N*M dimension matrix Ds represent the element d in descending crosstalk levels, matrixijFor the covering model of i-th of access node
In enclosing, the descending crosstalk levels of j-th strip channel are expressed as：
The sensing collected with access node is reported for calculating up crosstalk levels, is defined N*M dimension matrix Us and is represented up
Crosstalk levels, uijIn coverage for i-th of access node, the up crosstalk levels of j-th strip channel are expressed as：
The element x set up in N*M dimension access node channel distribution matrixes X, XipSpan represents to connect for i-th for 0 and 1,1
Ingress have selected pth bar channel, and 0 represents non-selected.Then Channel assignment optimization problem is converted into each access node only
Under conditions of the constraints that a channel can be selected so that the model minimum horizontal Z of whole network up-downgoing overall crosstalk：
α represents the balanced weights of up-downgoing, and such as system is upper row major, then α>0.5, the α if system is lower row major<0.5.
Optimal solution or suboptimal solution are calculated using particle cluster algorithm.Population produces the method for new explanation and exchanged to be random in N*M matrixes
Two row, disturbance number of times is more, and the variation of solution is more big to be more possible to try to achieve optimal solution.When Z values are minimum, that is, obtain preferred channels choosing
Select combination.
In summary, the present invention proposes a kind of WiFi method of rate control based on environment noisy degree and STA distances, more
Plus the situation of wireless electromagnetic environment is obtained in real time and exactly, so as to be optimized to network transmission channel, it is to avoid crosstalk, lifting
Systematic function.
Obviously, can be with general it should be appreciated by those skilled in the art, above-mentioned each module of the invention or each step
Computing system realize that they can be concentrated in single computing system, or be distributed in multiple computing systems and constituted
Network on, alternatively, the program code that they can be can perform with computing system be realized, it is thus possible to they are stored
Performed within the storage system by computing system.So, the present invention is not restricted to any specific hardware and software combination.
It should be appreciated that the above-mentioned embodiment of the present invention is used only for exemplary illustration or explains the present invention's
Principle, without being construed as limiting the invention.Therefore, that is done without departing from the spirit and scope of the present invention is any
Modification, equivalent substitution, improvement etc., should be included in the scope of the protection.In addition, appended claims purport of the present invention
Covering the whole changes fallen into scope and border or this scope and the equivalents on border and repairing
Change example.
Claims (7)
1. a kind of WiFi method of rate control based on environment noisy degree and STA distances, it is characterised in that including：
The multiple sense nodes of random placement in WIFI systems, cooperation completes sensing and the upload of WIFI network；
According to sensing result, channel optimization is carried out using particle cluster algorithm.
2. according to the method described in claim 1, it is characterised in that in the WIFI systems, the working band of access node and
Transmission power is controlled by AC routers；User terminal is communicated by eating dishes without rice or wine with access node, obtains signaling and data
Service；The sense node is sensed to WIFI working band, and sensing result is reported to neighbouring aggregation node；Convergence
Node selects optimal working band to be communicated according to sensing result, the frequency band sensing result that access node and user terminal are obtained
Carried out in AC routers integrated.
3. method according to claim 2, it is characterised in that the sense node uses following sensing algorithm：
For single sense node, frequency band sensing is expressed as a detecting event：
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Wherein x (t) represents the signal that sense node is received, and s (t) is the transmission signal of sensing object, and n (t) is noise, h generations
Table channel gain, event H0Represent frequency band idle, event H1Frequency band is represented to hurry；
Frequency band acquisition probability PdDetermined by channel response h：
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Wherein r is deamplification signal to noise ratio, fr(x) it is the probability density function of reflection signal to noise ratio change under damp condition：
If in the frequency band sensing result independent same distribution of each node, n node, if more than k node judgement is H1, then
Determine that frequency band is occupied；
The acquisition probability Q of combine frequency band sensingdIt is expressed as：
Qd=1- (1-Pd)n
N represents to participate in the interstitial content of frequency band sensing.
4. method according to claim 3, it is characterised in that for sampled signal, carried out using orthogonal window to signal
Segmentation, calculates each several part cyclic graph, finally carries out superposition, obtains frequency band estimation.
5. method according to claim 4, it is characterised in that the communication process between the sense node and aggregation node
For：
Step1：Sense node is given tacit consent in a dormant state, with TwFor periodic awakening, detect whether there is searching request；
Step2：Aggregation node event or cycle triggering searching request, the cycle is T0；
Step3：If sense node detects searching request, and the not actuated frequency band sensing in period demand, then start work immediately
Make frequency band sensing；
Step4：After frequency band sensing terminates, sense node is with TrStart sensing result for the cycle to report, report after 3 times, reenter
Resting state, and cache frequency band sensing result；
Step5：Searching request sends the time and reaches predetermined interval T1Afterwards, aggregation node starts sensing results acquisition；
Step6：Report summarizing and reporting to AC routers all sensings collected.
6. method according to claim 5, it is characterised in that when the sensing request of the sense node continues sufficiently long
Between, to ensure that the sense node near aggregation node listens to searching request；And the feedback of sensitive information is short enough, to avoid
Collision between node.
7. method according to claim 6, it is characterised in that described according to sensing result, is carried out using particle cluster algorithm
Channel optimizes, and further comprises：
After sensing result is converged, AC routers obtain the cross talk conditions of network；Network is optimized by Channel assignment,
Under conditions of the constraints that each access node can only select a channel, calculated and caused entirely using particle cluster algorithm
The minimum solution of network up and down overall crosstalk level.
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