CN107249206A - A kind of WAP system of selection with resource allocation optimization effect - Google Patents

A kind of WAP system of selection with resource allocation optimization effect Download PDF

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CN107249206A
CN107249206A CN201710559628.9A CN201710559628A CN107249206A CN 107249206 A CN107249206 A CN 107249206A CN 201710559628 A CN201710559628 A CN 201710559628A CN 107249206 A CN107249206 A CN 107249206A
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msub
mrow
mfrac
access point
access
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CN107249206B (en
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吴远
林津辉
毛浩伟
钱丽萍
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Zhejiang University of Technology ZJUT
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/08Access restriction or access information delivery, e.g. discovery data delivery
    • H04W48/10Access restriction or access information delivery, e.g. discovery data delivery using broadcasted information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/20Selecting an access point

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

Abstract

A kind of WAP system of selection with resource allocation optimization effect, in the method, WAP controls the probability found at first by new user by changing the broadcast cycle of itself;User only responds the broadcast message received at first, and accesses corresponding WAP.WAP determines broadcast cycle according to current number of service subscribers;Current number of service subscribers is more, represent that the access point is busier, then broadcast cycle is bigger, the probability selected by new user is lower, so as to make new user access more idle WAP as much as possible, reasonable distribution Internet resources between neighbouring access point are realized, the purpose of network service quality is improved.Present invention offer is a kind of can to improve the WAP system of selection with resource allocation optimization effect of the idle access point probability of user's selection.

Description

A kind of WAP system of selection with resource allocation optimization effect
Technical field
The present invention relates to wireless communication field, especially a kind of WAP system of selection.
Background technology
The popularization of the smart machines such as development and mobile phone, flat board with multimedia communication technology, the pressure that Cellular Networks are born Power is also growing day by day.And the deficient and high capital cost of frequency spectrum resource largely limits the further expansion of Cellular Networks Hold, therefore in order to adapt to the mobile data flow of blast growth, it is necessary to look for another way.
Data distribution is a kind of effective means for alleviating Cellular Networks pressure.For residence network, mobile network has With high costs, the shortcomings of Bandwidth-Constrained is serious, data distribution can be by mobile data flow shunt to its based on residence network In his network, so as to reduce cellular traffic and improve network service quality.Until 2016, the public wireless in global range connects Access point total amount has reached 94,000,000, it was predicted that this numeral will increase about 6 times by 2021, reaches 5.416 hundred million.It is so high The WAP distribution means of density us and are likely to while being in the coverage of multiple WAPs, therefore How to be chosen to for a problem.Ideally, it is intended that the reasonable load traffic of each WAP, lead to Chang Eryan, the load condition of WAP is opaque for user, and often separate between multiple WAPs, nothing Method carries out active negotiation, and this causes user to there is blindness when selecting WAP, so as to cause Internet resources to distribute It is unreasonable.Therefore, a kind of rational WAP system of selection is significant to solving this problem.
The content of the invention
In order to solve the network money that the user of existing WAP system of selection blindly selects WAP and caused The deficiency of source unreasonable distribution, the present invention provide it is a kind of can improve the idle access point probability of user's selection carry resource allocation The WAP system of selection of effect of optimization.
The technical solution adopted for the present invention to solve the technical problems is:
A kind of WAP system of selection with resource allocation optimization effect, comprises the following steps:
1) there is N number of access point in the range of, each access point is { U in the number of users that current time is serviced1, U2,...,UN, separate between access point, without information interchange, each access point periodically sends broadcast message, broadcast Cycle is { T1,T2,...,TN};
Etc. 2) broadcast message that new user response to be accessed is received at first, and access corresponding access point;For resource Distribution considers that the minimum access point of the number of users that new user should select current time to service as far as possible is accessed by control The broadcast cycle of point, thus it is possible to vary the probability that broadcast is received at first, the i.e. selected probability of the access point;
3) broadcast message is begun listening for the broadcast message for receiving each access point from new user, there is delay, be designated as { t1, t2,...,tN, actual delay is D=min { t1,t2,...tN};
4) number of users { U of each access point current time service1,U2,...,UNAnd broadcast cycle { T1,T2,...,TN} Between there is quantitative relationship, can meet setting index request on the premise of, as far as possible reduce delay D, the quantitative relationship The process for being modeled and calculating is:
For n-th of access point, its corresponding access delay is in interval [0, Tn] on obey and be uniformly distributed, probability density letter Number is,
When a-th and b-th of access point are competed with one another for, access a is calculated, the probability of b access points is, it is necessary to be divided into Ta< TbAnd Ta> TbTwo kinds of situation discussion;Work as Ta< TbWhen, the probability of access a access points is
Work as Ta> TbWhen, the probability of selection a access points is
Similarly obtain selecting the probability of b access points, arrangement is obtained,
It is required that number of users often increases by 1, with mutually being competed before not increasing, its access probability is P, 0 < P < 0.5, that is, is added Following restrictive condition:
Ub=Ua+1 (6)
Formula (5) is deformed,
Therefore, active user's quantity { U1,U2,...,UNAnd broadcast cycle { T1,T2,...,TNBetween exist it is following quantitative Relation,
Wherein, T0On the basis of the broadcast cycle of broadcast cycle, i.e. active user's quantity when being 0, calculate access now and prolong Expect late, be designated as { D1,D2,...,DN, then
And now access probability value is the maximum under the conditions of limitation, therefore TnFor the minimum value under the conditions of limitation, DnFor Minimum value under restrictive condition, so as to obtain, actual delay D expectation is also the minimum value under this index, has reached expection Target.
Obtained by formula (9) (10) analysis, by increasing P, the effect that access point is selected can be made more preferably, cost is actually to prolong Slow D expectation increase.Therefore, it is necessary to be carried out between access point Selection effect and the extra access delay caused during actual use Balance, determines a suitable P value.
The present invention technical concept be:Because the load condition of WAP is opaque generally for user, and it is different Information interchange is generally not present between WAP, it is impossible to carry out active negotiation, causes user when selecting WAP There is blindness.And the presence of oneself is informed user by access point by way of periodic broadcast, by entering to broadcast cycle Row control, thus it is possible to vary user receives the probability of its broadcast message at first.Cycle is bigger, and the probability found at first by user is got over It is low.Using this feature, the broadcast cycle of busy access point can be increased, make the access point that user has found at first all be as far as possible The access point of relative free.For a user, it is only necessary to first broadcast message that response is received, it is possible to have greater probability The access point of access more free time.
Beneficial effects of the present invention are mainly manifested in:1st, the resource to multiple WAPs in scope has been carried out rationally Distribution, improves the quality of wireless service;2nd, to WAP and user both sides all without bringing overhead;3rd, increase The broadcast cycle of big busy access point, the effect with certain reduction energy consumption.
Brief description of the drawings
Fig. 1 is the wireless access point selection system schematic of the inventive method.
Embodiment
The present invention is described in further detail below in conjunction with the accompanying drawings.
Reference picture 1, a kind of WAP system of selection with resource allocation optimization effect is wirelessly connect existing Realized on the basis of access point cut-in method, the WAP system of selection comprises the following steps:
1) there is N number of access point in the range of, each access point is { U in the number of users that current time is serviced1, U2,...,UN, it is separate between access point, without information interchange.Each access point periodically sends broadcast message, broadcasts Cycle is { T1,T2,...,TN};
Etc. 2) broadcast message that new user response to be accessed is received at first, and access corresponding access point.For resource Distribution considers that the minimum access point of the number of users that new user should select current time to service as far as possible is accessed by control The broadcast cycle of point, thus it is possible to vary the probability that broadcast is received at first, the i.e. selected probability of the access point;
3) broadcast message is begun listening for the broadcast message for receiving each access point from new user, there is delay, be designated as { t1, t2,...,tN, actual delay is D=min { t1,t2,...tN};
4) number of users { U of each access point current time service1,U2,...,UNAnd broadcast cycle { T1,T2,...,TN} Between certainly exist a kind of quantitative relationship, can on the premise of certain index request is met, as far as possible reduce delay D.To this Quantitative relationship is modeled and calculated:
For n-th of access point, its corresponding access delay is in interval [0, Tn] on obey and be uniformly distributed, probability density letter Number is,
When a-th and b-th of access point are competed with one another for, access a is calculated, the probability of b access points is, it is necessary to be divided into Ta< TbAnd Ta> TbTwo kinds of situation discussion.Work as Ta< TbWhen, the probability of access a access points is
Work as Ta> TbWhen, the probability of selection a access points is
It can similarly obtain selecting the probability of b access points, arrangement is obtained,
Certain index request is added on the basis of the above, it is desirable to which number of users often increases by 1, it is preceding mutually competing with not increasing Strive, its access probability is P, 0 < P < 0.5, that is, adds following restrictive condition,
Ub=Ua+1 (6)
Formula (5) is deformed,
Therefore, active user's quantity { U1,U2,...,UNAnd broadcast cycle { T1,T2,...,TNBetween exist it is following quantitative Relation,
Wherein, T0On the basis of broadcast cycle, i.e. active user's quantity be 0 when broadcast cycle.The access calculated now is prolonged Expect late, be designated as { D1,D2,...,DN, then
And now access probability value is the maximum under the conditions of limitation, therefore TnFor the minimum value under the conditions of limitation, DnFor Minimum value under restrictive condition.So as to obtain, actual delay D expectation is also the minimum value under this index, has reached expection Target.Obtained by formula (9) (10) analysis, by increasing P, the effect that access point is selected can be made more preferably, cost is actually to prolong Slow D expectation increase.
, it is necessary to determine parameter P according to performance indications in the method for present embodiment.Performance indications include:Access point is The number of users of service often increases by 1, with not increasing preceding competition, the acceptable selected probability P of highestmax;Opened from user Beginning listening broadcast, receives access point to user and broadcasts acceptable maximum average retardation Dmax
It can be obtained by formula (9) (10),
In order that delay DnMaximum is got, it is necessary to which the number of service subscribers of access point is got into maximum, even Un= Umax.(11) formula is changed into,
Wherein UmaxAnd T0For determination value.By P=Pmax(12) formula is brought into, if obtaining D'max≤Dmax, then P now is taken It is worth the parameter for system.If obtaining D'max> Dmax, then it represents that given performance indications can not be met.
The present embodiment has carried out reasonable distribution to the resource of multiple WAPs in scope, improves wireless service Quality, it is to avoid WAP unnecessary network resources waste, and to WAP and user both sides all without bringing Overhead.Simultaneously as the present embodiment determines systematic parameter according to performance indications, different need can be well adapted for Ask, with considerable flexibility.Finally, due to the broadcast cycle of busy access point be increased, also with certain reduction energy consumption Effect.

Claims (1)

1. a kind of WAP system of selection with resource allocation optimization effect, it is characterised in that:Methods described include with Lower step:
1) there is N number of access point in the range of, each access point is { U in the number of users that current time is serviced1,U2,..., UN, separate between access point, without information interchange, each access point periodically sends broadcast message, and broadcast cycle is {T1,T2,...,TN};
Etc. 2) broadcast message that new user response to be accessed is received at first, and access corresponding access point;For resource allocation Consider, the minimum access point of the number of users that new user should select current time to service as far as possible, by controlling access point Broadcast cycle, thus it is possible to vary the probability that broadcast is received at first, the i.e. selected probability of the access point;
3) broadcast message is begun listening for the broadcast message for receiving each access point from new user, there is delay, be designated as { t1, t2,...,tN, actual delay is D=min { t1,t2,...tN};
4) number of users { U of each access point current time service1,U2,...,UNAnd broadcast cycle { T1,T2,...,TNBetween There is quantitative relationship, delay D can be reduced as far as possible on the premise of setting index request is met, the quantitative relationship is carried out Modeling and the process calculated are:
For n-th of access point, its corresponding access delay is in interval [0, Tn] on obey and be uniformly distributed, probability density function is,
<mrow> <msub> <mi>s</mi> <mi>n</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>n</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <msub> <mi>T</mi> <mi>n</mi> </msub> </mfrac> <mo>,</mo> <mn>0</mn> <mo>&lt;</mo> <msub> <mi>t</mi> <mi>n</mi> </msub> <mo>&lt;</mo> <msub> <mi>T</mi> <mi>n</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow>
When a-th and b-th of access point are competed with one another for, access a is calculated, the probability of b access points is, it is necessary to be divided into Ta< TbAnd Ta> TbTwo kinds of situation discussion;Work as Ta< TbWhen, the probability of access a access points is
<mrow> <msub> <mi>P</mi> <mi>a</mi> </msub> <mo>=</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <msub> <mi>T</mi> <mi>a</mi> </msub> </msubsup> <msub> <mi>s</mi> <mi>a</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>)</mo> </mrow> <msubsup> <mo>&amp;Integral;</mo> <msub> <mi>t</mi> <mi>a</mi> </msub> <msub> <mi>T</mi> <mi>b</mi> </msub> </msubsup> <msub> <mi>s</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>dt</mi> <mi>b</mi> </msub> <msub> <mi>dt</mi> <mi>a</mi> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
Work as Ta> TbWhen, the probability of selection a access points is
<mrow> <msub> <mi>P</mi> <mi>a</mi> </msub> <mo>=</mo> <msubsup> <mo>&amp;Integral;</mo> <mn>0</mn> <msub> <mi>T</mi> <mi>b</mi> </msub> </msubsup> <msub> <mi>s</mi> <mi>a</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>a</mi> </msub> <mo>)</mo> </mrow> <msubsup> <mo>&amp;Integral;</mo> <msub> <mi>t</mi> <mi>a</mi> </msub> <msub> <mi>T</mi> <mi>b</mi> </msub> </msubsup> <msub> <mi>s</mi> <mi>b</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>b</mi> </msub> <mo>)</mo> </mrow> <msub> <mi>dt</mi> <mi>b</mi> </msub> <msub> <mi>dt</mi> <mi>a</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>T</mi> <mi>b</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>a</mi> </msub> </mrow> </mfrac> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
Similarly obtain selecting the probability of b access points, arrangement is obtained,
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>a</mi> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&lt;</mo> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>a</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>T</mi> <mi>b</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>a</mi> </msub> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&gt;</mo> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>b</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&lt;</mo> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>b</mi> </msub> <mo>=</mo> <mn>1</mn> <mo>-</mo> <mfrac> <msub> <mi>T</mi> <mi>b</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>a</mi> </msub> </mrow> </mfrac> <mo>,</mo> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>&gt;</mo> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow>
It is required that number of users often increases by 1, with mutually being competed before not increasing, its access probability is P, 0 < P < 0.5, that is, is added as follows Restrictive condition:
Ub=Ua+1 (6)
<mrow> <msub> <mi>P</mi> <mi>b</mi> </msub> <mo>=</mo> <mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mrow> <mn>2</mn> <msub> <mi>T</mi> <mi>b</mi> </msub> </mrow> </mfrac> <mo>=</mo> <mi>P</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>7</mn> <mo>)</mo> </mrow> </mrow>
Formula (5) is deformed,
<mrow> <msub> <mi>T</mi> <mi>b</mi> </msub> <mo>=</mo> <mfrac> <mn>1</mn> <mrow> <mn>2</mn> <mi>P</mi> </mrow> </mfrac> <msub> <mi>T</mi> <mi>a</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
Therefore, active user's quantity { U1,U2,...,UNAnd broadcast cycle { T1,T2,...,TNBetween there is following quantitative close System,
<mrow> <msub> <mi>T</mi> <mi>n</mi> </msub> <mo>=</mo> <msup> <mrow> <mo>(</mo> <mfrac> <mn>1</mn> <mrow> <mn>2</mn> <mi>P</mi> </mrow> </mfrac> <mo>)</mo> </mrow> <msub> <mi>U</mi> <mi>n</mi> </msub> </msup> <msub> <mi>T</mi> <mn>0</mn> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>9</mn> <mo>)</mo> </mrow> </mrow>
Wherein, T0On the basis of the broadcast cycle of broadcast cycle, i.e. active user's quantity when being 0, calculate access delay phase now Hope, be designated as { D1,D2,...,DN, then
<mrow> <msub> <mi>D</mi> <mi>n</mi> </msub> <mo>=</mo> <mi>E</mi> <mrow> <mo>(</mo> <msub> <mi>t</mi> <mi>n</mi> </msub> <mo>)</mo> </mrow> <mo>=</mo> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <msub> <mi>T</mi> <mi>n</mi> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>10</mn> <mo>)</mo> </mrow> </mrow>
And now access probability value is the maximum under the conditions of limitation, therefore TnFor the minimum value under the conditions of limitation, DnFor limitation Under the conditions of minimum value, so as to obtain, actual delay D expectation is also the minimum value under this index, has reached expected mesh Mark.
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