CN102202268A - Classification-triggering-information-based group vertical switching method - Google Patents

Classification-triggering-information-based group vertical switching method Download PDF

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CN102202268A
CN102202268A CN2011101992227A CN201110199222A CN102202268A CN 102202268 A CN102202268 A CN 102202268A CN 2011101992227 A CN2011101992227 A CN 2011101992227A CN 201110199222 A CN201110199222 A CN 201110199222A CN 102202268 A CN102202268 A CN 102202268A
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network
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objective
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CN102202268B (en
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史琰
何方
盛敏
王希欣
胡文专
卢杉
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Xidian University
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Xidian University
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Abstract

The invention discloses a classification-triggering-information-based group vertical switching method, which mainly aims to overcome the shortcomings that the influence of switching on other users in a network and how to realize the simultaneous switching of a plurality of users are not taken into account in switching decision in the conventional methods. The method is implemented by the following steps of: periodically sampling network environment information and user environment information; processing the environment information to obtain switching triggering information; searching for switching target users and a switching target network according to the network coverage conditions, motion parameters and network resource seizing conditions of the user; and grouping the target users, and integrally switching the target users into the target network by taking a group as a unit. In the method, different switching strategies are implemented according to the switching requirements of different types, the switching needs of single users and the benefits of the whole network are taken into account, the simultaneous switching of the plurality of users is realized, and network overhead is reduced; and the method is adapted to the requirements of the conventional networks and various novel networks to be developed in the future.

Description

Group's vertical handoff method based on the classification trigger message
Technical field
The invention belongs to wireless communication technology field, relate to multimode terminal in the heterogeneous radio access networks of a plurality of overlapping coverings when mobile, the Access Network changing method of terminal is applicable to existing Cellular Networks, WLAN, the network and following various novel Access Networks such as 3G.
Background technology
Along with scientific and technological, social progress, people wish that more and more can obtain information whenever and wherever possible exchanges, realize that " ubiquitous a networked society " is the inevitable evolution direction of social informatization and national information development strategy, it will bring huge far-reaching change, this problem to become the ardent focus of inquiring into and putting into practice of government, academia and operation enterprise day by day to people's work, life, consumption isotype and custom influence.
The mobility of terminal is a key character of wireless network, moving makes the residing network environment of terminal along with the time constantly changes, terminal need change the approach that it obtains the network service according to changing environmental information, promptly between a plurality of heterogeneous networks, vertically switch, could guarantee that the user obtains optimum service quality all the time, therefore, the vertical switching problem of portable terminal is to make up important research point in the informationized society problem, changing method should make concrete handoff procedure transparent fully to the user efficiently, bring as far as possible little influence for user's business, make network really ubiquitous, thereby realize informationized society as water and air.
Present vertical handoff method has a lot of achievements, and emphasis focuses mostly on and reducing aspect two of handoff delay and the minimizing ping-pongs.For example, then utilize grey forecasting model based on the handoff algorithms of gray prediction, the historical record prediction received signal intensity according to received signal intensity makes 3 layers of switching can shift to an earlier date 2 layers of switching and sets out, and reduces total handover delay; Solving the ping-pong problem then normally adopts stable period or the hysteresis portable terminal of delaying time to carry out the concrete time of switching.And in handover decisions for the vertical handover decisions mechanism and the analytic hierarchy process (AHP) of defining of objective network based on current application, its utility function is the weights of normalized service quality QoS (Qulity Of Service) parameter, and objective network is to have effective value network.Though the objective network that above-mentioned these methods can solve in vertical the switching is selected problem, but they have the shortcoming of two aspects: on the one hand, they all are the benefits at some users, generally all handover trigger event are all adopted identical handover decisions, the formulation that is handover decisions all is in order to maximize a user's interests, and do not consider that the switching to this user may cause other a plurality of quality of services for users degradations, and then cause other a plurality of users to switch, such result is actually and loses more than gain, and should avoid.On the other hand, they all are the handoff algorithms at unique user, once have only a user to switch, and the user is more in network, and when moving frequently, the number of times of switching is more, can bring big expense to network, are unfavorable for the maintenance of network.
Summary of the invention
The objective of the invention is to overcome the defective of above-mentioned prior art, propose a kind of group's vertical handoff method, bring influence for other users, and switch when realizing a plurality of user with the switching behavior of avoiding unique user based on the classification trigger message, reduce network overhead, improve switching efficiency.
For achieving the above object, performing step of the present invention comprises as follows:
(1) network control center carries out periodic sampling, the number of users N that is conversing in the statistics current network i, each user position, movement velocity and the direction of motion, as network environment information; User's periodic sampling also writes down the received signal intensity RSS that this obtains iAnd last time the received signal intensity historical record RSS ' that obtains i, as user environment information, i=1,2 ... n, n are the number of heterogeneous network;
(2) described network environment information and user environment information are carried out following processing:
(2a) with the base station being initial point, is X-axis with the due east direction, and direct north is a Y-axis, is long measure with rice, sets up rectangular coordinate system, each user's position coordinates vector in the record network
Figure BDA0000076334800000021
And movement velocity vector
Figure BDA0000076334800000022
Angle between two vectors is designated as θ j, j=1 wherein, 2 ... N i
(2b) according to received signal strength formula: R Th=p T-L-10 β lg (d Th(μ σ), calculates distance threshold value d to)+f Th, wherein, p TFor signal sends intensity, L is the loss of signal strength, and β is a path loss exponent, and it is worth between 2-4, and (μ σ) is the stochastic variable of Normal Distribution to f, and μ is a mean value, and σ is a standard deviation, R ThBe the minimum received signal intensity level that the user can converse, its value is-90dBm;
(2c) according to distance threshold value d Th, the position coordinates vector
Figure BDA0000076334800000023
Angle theta jAnd movement velocity vector
Figure BDA0000076334800000024
Calculate the time evaluation of estimate of user j: T j = | p r j | · | cos θ j | + d th 2 - ( | p r j | · sin θ j ) 2 | v r j | , This value has characterized the user according to the residence time of current movement tendency in network;
(2d) according to the capacity M of network iAnd number of users N iComputing network resources left rate: I=1,2 ... n is provided with surplus resources threshold value η ThEqual 10%, work as η iLess than surplus resources threshold value η ThThe time, show that the surplus resources of i network is less;
(3) the signal strength signal intensity RSS of the network l that the user is received lWith received signal strength threshold value R ThCompare, wherein l represents the network of the current connection of user, if RSS l＜R Th, then marking the user as the targeted customer, objective network, execution in step (5) are sought according to targeted customer's the network coverage situation and the occupation condition of network by the network control center; If RSS ' i＜R Th﹠amp; ﹠amp; RSS i〉=R Th, i=1 wherein, 2...n, i ≠ l, then the user has newly-increased available network to use, and objective network and targeted customer, execution in step (5) are sought according to each user's the motion conditions and the occupation condition of newly-increased network by the network control center;
(4) with network resource remaining rate η iWith surplus resources threshold value η ThCompare, i=1 wherein, if 2...n is η i＜η Th, then i network is overloaded network, targeted customer and objective network are sought according to the occupation condition of each network by the control centre of overloaded network, if find target, and execution in step (5) then, otherwise, do not switch;
(5) in targeted customer who finds and objective network, the targeted customer that objective network is identical is classified as one and switches group, and the targeted customer in the group is made the as a whole objective network that switches to.
Description of drawings
Fig. 1 is a general flow chart of the present invention;
Fig. 2 is the sub-process figure that seeks objective network among the present invention according to the occupation condition of targeted customer's network coverage situation and network;
Fig. 3 is the sub-process figure that seeks objective network and targeted customer among the present invention according to the occupation condition of each user's motion conditions and newly-increased network;
Fig. 4 is the sub-process figure that seeks targeted customer and objective network among the present invention according to the occupation condition of each network.
Embodiment
Below in conjunction with accompanying drawing content of the present invention is described in detail:
The present invention is applicable to the scene of the overlapping covering of a plurality of heterogeneous networks, and promptly network 1, network 2 ... network n is total to n heterogeneous radio access networks network, and these networks can be existing networks, also can be following with the new network that occurs.Considering single speech business, suppose that the professional shared bandwidth of each user's voice is to equate and constant, is that unit converts number of users to the capacity of network according to the bandwidth of a speech business, i.e. the maximum number of voice users that can hold in network.Control centre's energy collection network environmental information of network also can receive the user environment information in the network.User in the network uses multimode terminal, and random motion in each network, and the direction of motion and speed are not limited.
With reference to Fig. 1, performing step of the present invention comprises as follows:
Step 1, the network control center carries out periodic sampling to network environment, the number of users N that is conversing in the statistics network i, i=1,2 ... n, n is the number of heterogeneous network, the user's who is conversing position, movement velocity and the direction of motion, and with these information as network environment information.
Step 2, described network environment information and user environment information are carried out following processing:
(2.1) network control center sets up a network environment information table, as table 1,
Table 1 network environment information table
The number of users of current talking Network capacity The resources left rate
Network 1 N 1 M 1 η 1
Network 2 N 2 M 2 η 2
… ?… ?… …
Network n N n M n η n
Write down the number of users N that is conversing in each network in the table iAnd the capacity M of each network i, and calculate the corresponding network resource remaining rate of each network
Figure BDA0000076334800000041
I=1,2...n is provided with surplus resources threshold value η ThEqual 10%, work as η iLess than surplus resources threshold value η ThThe time, show that the surplus resources of i network is less, become overloaded network, need switch the user among the overloaded network i, to prevent the speech quality degradation of user in the network;
(2.2) base station with network is an initial point, is X-axis with the due east direction, and direct north is a Y-axis, is long measure with rice, sets up rectangular coordinate system, and each user who is conversing is at the position coordinates (x of sampling instant in the record network j, y j), j=1,2 ... N i, be designated as vector
Figure BDA0000076334800000042
Write down each user's movement velocity vector simultaneously
Figure BDA0000076334800000043
Direction be the direction of motion of user in coordinate system,
Figure BDA0000076334800000044
Size be the size of user movement speed, vector
Figure BDA0000076334800000045
With the movement velocity vector
Figure BDA0000076334800000046
Between angle be designated as θ j, obtain user movement reference record table, as table 2;
The reference record of table 2 user movement
Figure BDA0000076334800000051
(2.3) according to received signal strength formula: R Th=p T-L-10 β lg (d Th(μ σ), calculates distance threshold value d to)+f Th, wherein, p TFor signal sends intensity, L is the loss of signal strength, and β is a path loss exponent, and it is worth between 2-4, and (μ σ) is the stochastic variable of Normal Distribution to f, and μ is a mean value, and σ is a standard deviation, R ThThe minimum received signal intensity that the expression user can converse, its value is-90dBm, when the user receives network signal intensity greater than R ThThe time, the user can connect this network and converse, and this network is user's available network, otherwise this network is not user's a available network;
(2.4) user's periodic sampling, obtain and the base station between apart from d i, according to d iCalculate received signal intensity: RSS with the received signal strength formula i=p T-L-10 β lg (d i)+f (μ, σ), i=1,2...n, the user keeps the received signal intensity historical record RSS ' that sampled and calculated last time simultaneously i, and with RSS iAnd RSS ' iAs user environment information.
(2.5) control centre of network is according to user's distance threshold value d Th, the position coordinates vector
Figure BDA0000076334800000052
Angle theta jWith the movement velocity vector
Figure BDA0000076334800000053
Calculate user's time evaluation of estimate: T j = | p r j | · | cos θ j | + d th 2 - ( | p r j | · sin θ j ) 2 | v r j | , J=1,2 ... N i, this value has shown the user according to the residence time of current movement tendency in network, the more little user of time evaluation of estimate is switched this user according to current movement tendency deviated from network more early, can reduce total switching times of network as much as possible;
Step 3 is with user's reception network signal intensity RSS lWith received signal strength threshold value R ThCompare, wherein l represents the network of the current connection of user, if RSS l＜R Th, then marking the user as the targeted customer, objective network, execution in step (6) are sought according to targeted customer's the network coverage situation and the occupation condition of network by the network control center.
With reference to Fig. 2, the occupation condition according to targeted customer's network coverage situation and network described in this step is sought objective network, is implemented as follows:
(3.1) judge RSS successively i〉=R ThI=1,2...n, whether i ≠ l sets up, if set up, then, set up the available network collection with the available network of i network as the targeted customer, carry out step (3.2), wherein t is the number of available network in the set, and the value of t is by targeted customer's real network coverage condition decision; If be false, illustrating then that the user is current does not have an available network, and current talking is interrupted;
(3.2) utilize the analytic hierarchy process (AHP) available network that available network is concentrated according to the rank order from excellent to bad;
(3.3) available network that the available network after calculating is sorted is concentrated increases the network resource remaining behind the user K=1,2...t, k ≠ l, M kBe the capacity of k concentrated available network of available network, N kThe number of users of conversing in k the available network of concentrating for available network is judged η successively k' whether greater than resources left threshold value η Th, if there is η ' k＞η Th, then illustrate after the user switches to k concentrated available network of available network and can not cause the resources left of k available network very few, so it is labeled as objective network; Otherwise, the user is described no matter switch to which available network, all can cause the resources left of available network very few, then carry out step (3.4);
(3.4) rebulid available network collection and ordering, judge the number of users N of concentrated k the available network of available network successively kWhether less than network capacity M k, if there is N k＜M k, then concentrate k available network to be labeled as objective network available network, otherwise, illustrating that all available networks have not all had resources left, the user can not be directly switch into any one available network, then carries out step (3.5);
(3.5) rebulid the available network collection;
(3.6) utilize the analytic hierarchy process (AHP) available network that available network is concentrated according to the rank order from excellent to bad, judge whether the available network collection is empty set, if empty set, then stop to seek objective network, user's communication interrupts, otherwise, first network in the sequence is designated as r v
(3.7) find out network r vAdjustment path L V, w: r v→ r wW=1,2 ... n, w ≠ v, r w, r vRepresent network w and network v respectively, and network r wIn at least one vacant resource is arranged, this adjustment path be one with network r vFor starting point with network r wBe the oriented route of terminal point, one or more other networks of middle experience are used r xAnd r yRepresent in this oriented route any two adjacent networks of experience successively, two networks need satisfy condition: r xIn exist a user can utilize network r at least yConverse; If find such path, then from r xIn can utilize network r yThe user of select time evaluation of estimate minimum switches to r among the user who converses y, and the like, after all finishing, the switching between all adjacent networks will make network r wMiddle number of users increases by one, network r vIn then vacate an idling-resource, network r then vAdjust successfully, with network r vBe labeled as objective network, stop to seek objective network; If can not find such path, with network r vConcentrate deletion from available network, be back to step (3.6).
Step 4 is with user's reception network signal intensity RSS iWith received signal strength threshold value R ThCompare, i=1 wherein, 2...n, if i ≠ l is RSS ' i＜R Th﹠amp; ﹠amp; RSS i〉=R Th, then network i being designated as user's newly-increased network i, objective network and targeted customer, execution in step (6) are sought according to each user's the motion conditions and the occupation condition of newly-increased network by the network control center.
With reference to Fig. 3, the occupation condition according to each user's motion conditions and newly-increased network described in this step is sought objective network and targeted customer, is implemented as follows:
(4.1) utilize analytic hierarchy process (AHP) from newly-increased network, to seek than the current more excellent network of network l that connects of user, if can not find, then the newly-increased network of explanation appearance all is inferior to the current network l that connects of user, this moment, the user did not need to switch, and no longer sought objective network, if find, then increase the network conduct more excellent newly network than the current network l that connects of user, set up newly-increased network collection, the number of newly-increased network is p in the set, and the value of p is by user's real network coverage condition decision;
(4.2) calculate the network surplus resources that increases newly after the concentrated network of network increases a user
Figure BDA0000076334800000071
R=1,2...p, r ≠ l, M rBe the capacity of concentrated r the network of newly-increased network, N rConcentrate the number of users of conversing in r the network for newly-increased network, judge η ' successively rWhether greater than η Th, if there is η ' r＞η Th, illustrate after the user switches to concentrated r the network of newly-increased network not cause newly-increased network to concentrate the surplus resources of r network very few, then will increase network newly and concentrate r network to be labeled as objective network, carry out step (4.3), if do not deposit η ' r＞η ThThough then the newly-increased network of explanation is better than the network l of the current connection of user, switches to and to make in the newly-increased network that the surplus resources of newly-increased network is very few, influences other users' speech quality, so can not stop to seek objective network as objective network;
(4.3) find out all users that conversing among the network l of the current connection of user, time evaluation of estimate by the user sorts from small to large, judge successively whether the user can utilize objective network to converse, and the user that can utilize objective network to converse is labeled as the targeted customer.
Step 5 is with network resource remaining rate η iWith surplus resources threshold value η ThCompare, i=1,2...n, n are the number of heterogeneous network, if η i＜η ThThe surplus resources that i network is described is very few, become overloaded network, need switch the user among the overloaded network i and prevent network congestion, then targeted customer and objective network are sought according to the occupation condition of each network by the network control center, if find target, then execution in step (6), otherwise, do not switch;
With reference to Fig. 4, the occupation condition according to each network described in this step is sought targeted customer and objective network, is implemented as follows:
(5.1) find out the user who is conversing among the overloaded network i, select the user that has more than an available network as candidate user, set up the candidate user collection, the candidate user that obtains like this can insert overloaded network i and converse, and also can insert other networks and converse;
(5.2) judge whether the candidate user collection is empty set, if empty set illustrates that all candidate user have all been judged to finish, then no longer seek objective network, otherwise the user that candidate user is concentrated sorts from small to large according to the time evaluation of estimate, and the first candidate user in the sequence is labeled as u 1
(5.3) find out u 1Available network, set up the candidate network collection, the network ordering from excellent to bad that utilizes analytic hierarchy process (AHP) that candidate network is concentrated, the available network number is q in the set, the value of q is by candidate user u 1Real network coverage condition decision;
(5.4) judge network surplus resources rate after network that candidate network is concentrated increases a user successively
Figure BDA0000076334800000081
Whether greater than η Th, j=1 wherein, 2...q, j ≠ i, M j, N jBe respectively the capacity of j concentrated network of candidate network and the number of users of conversing, if there is η ' j＞η Th, then j the network that candidate network is concentrated is labeled as objective network, with candidate user u 1Concentrate deletion from candidate user, carry out step (5.5), otherwise, candidate user u is described 1No matter switch to which candidate network, all can cause the surplus resources of candidate network very few, therefore, candidate user u 1Can not be as the targeted customer, with candidate user u 1Concentrate deletion from candidate user, be back to step (5.2);
(5.5) number of users with overloaded network i reduces one, and whether the surplus resources rate of judging overloaded network i is less than η Th, if less than η Th, illustrate that overloaded network i through the surplus resources abundance after switching, no longer needs to switch, then stop to seek the targeted customer; Otherwise then explanation needs to continue to seek the targeted customer, is back to step (5.2).
Step 6, in targeted customer who finds and objective network, the targeted customer that objective network is identical is classified as one and switches group, and the targeted customer in the group is made the as a whole objective network that switches to.

Claims (4)

1. the group's vertical handoff method based on the classification trigger message comprises the steps:
(1) network control center carries out periodic sampling, the number of users N that is conversing in the statistics current network i, each user position, movement velocity and the direction of motion, as network environment information; User's periodic sampling also writes down the received signal intensity RSS that this obtains iAnd last time the received signal intensity historical record RSS ' that obtains i, as user environment information, i=1,2 ... n, n are the number of heterogeneous network;
(2) described network environment information and user environment information are carried out following processing:
(2a) with the base station being initial point, is X-axis with the due east direction, and direct north is a Y-axis, is long measure with rice, sets up rectangular coordinate system, each user's position coordinates vector in the record network
Figure FDA0000076334790000011
And movement velocity vector
Figure FDA0000076334790000012
Angle between two vectors is designated as θ j, j=1 wherein, 2 ... Ni;
(2b) according to received signal strength formula: R Th=p T-L-10 β lg (d Th(μ σ), calculates distance threshold value d to)+f Th, wherein, p TFor signal sends intensity, L is the loss of signal strength, and β is a path loss exponent, and it is worth between 2-4, and (μ σ) is the stochastic variable of Normal Distribution to f, and μ is a mean value, and σ is a standard deviation, R ThBe the minimum received signal intensity level that the user can converse, its value is-90dBm;
(2c) according to distance threshold value d Th, the position coordinates vector
Figure FDA0000076334790000013
Angle theta jAnd movement velocity vector Calculate the time evaluation of estimate of user j: T j = | p r j | · | cos θ j | + d th 2 - ( | p r j | · sin θ j ) 2 | v r j | , This value has characterized the user according to the residence time of current movement tendency in network;
(2d) according to the capacity M of network iAnd number of users N iComputing network resources left rate:
Figure FDA0000076334790000016
I=1,2 ... n is provided with surplus resources threshold value η ThEqual 10%, work as η iLess than surplus resources threshold value η ThThe time, show that the surplus resources of i network is less;
(3) the signal strength signal intensity RSS of the network l that the user is received lWith received signal strength threshold value R ThCompare, wherein l represents the network of the current connection of user, if RSS l＜R Th, then marking the user as the targeted customer, objective network, execution in step (5) are sought according to targeted customer's the network coverage situation and the occupation condition of network by the network control center; If RSS ' i＜R Th﹠amp; ﹠amp; RSS i〉=R Th, i=1 wherein, 2...n, i ≠ l, then the user has newly-increased available network to use, and objective network and targeted customer, execution in step (5) are sought according to each user's the motion conditions and the occupation condition of newly-increased network by the network control center;
(4) with network resource remaining rate η iWith surplus resources threshold value η ThCompare, i=1 wherein, if 2...n is η i＜η Th, then i network is overloaded network, targeted customer and objective network are sought according to the occupation condition of each network by the control centre of overloaded network, if find target, and execution in step (5) then, otherwise, do not switch;
(5) in targeted customer who finds and objective network, the targeted customer that objective network is identical is classified as one and switches group, and the targeted customer in the group is made the as a whole objective network that switches to.
2. method according to claim 1, wherein step (3) is described seeks objective network according to targeted customer's the network coverage situation and the occupation condition of network, carries out as follows:
(3a) find out targeted customer's available network, and utilize analytic hierarchy process (AHP) with available network ordering from excellent to bad, obtain orderly available network collection, the number of available network is t in the set;
(3b) judge network resource remaining after available network that available network is concentrated increases a user successively
Figure FDA0000076334790000021
Whether greater than resources left threshold value η Th, k=1,2...t, k ≠ l, M k, N kBe respectively the capacity of k concentrated available network of available network and the number of users of conversing, if there is η ' k＞η Th, then k the available network that available network is concentrated is labeled as objective network, otherwise carries out step (3c);
(3c) rebulid available network collection and ordering, judge the number of users N of the available network that available network is concentrated successively kWhether less than network capacity M k, k=1 wherein, 2...t, k ≠ l is if exist N k＜M k, then k the available network that available network is concentrated is labeled as objective network, otherwise carries out step (3d);
(3d) rebulid available network collection and ordering, the available network in the pair set carries out the midsequent adjustment successively, if adjust successfully, then will adjust successful network and be labeled as objective network, otherwise, stop to seek objective network.
3. method according to claim 1, wherein the occupation condition of the newly-increased network of the described basis of step (3) is sought objective network and targeted customer, carries out as follows:
3a ') utilize analytic hierarchy process (AHP) to select the network more excellent than the network l of current connection from newly-increased network, set up newly-increased network collection, the number of newly-increased network is p in the set;
3b ') judges the network surplus resources that increases newly after the concentrated network of network increases a user successively Whether greater than η Th, r=1,2...p, r ≠ l, M r, N rBe respectively the capacity of r concentrated network of newly-increased network and the number of users of conversing, if there is η ' r＞η Th, then network r is labeled as objective network, carry out step 3c '), otherwise, no longer seek objective network;
3c ') find out all users that conversing among the network l of current connection, the user of evaluation of estimate minimum is labeled as the targeted customer with the time.
4. method according to claim 1, wherein objective network and targeted customer seek according to the occupation condition of the user who is connecting overloaded network i and other networks in the described network control center of step (4), carry out as follows:
(4a) find out the user who is conversing among the overloaded network i, set up the candidate user collection;
(4b), then stop to seek objective network, otherwise the user that candidate user is concentrated sorts from small to large according to the time evaluation of estimate, and the first user in the sequence is labeled as u if the candidate user collection is an empty set 1
(4c) find out u 1Available network, set up the candidate network collection, the network ordering from excellent to bad that utilizes analytic hierarchy process (AHP) that candidate network is concentrated, the available network number is q in the set;
(4d) judge network surplus resources rate after network that candidate network is concentrated increases a user successively
Figure FDA0000076334790000032
Whether greater than η Th, j=1,2...q, j ≠ i, M jBe the capacity of j concentrated network of candidate network, N jThe number of users of conversing in j the network that candidate network is concentrated is if exist η ' j＞η Th, then this network is labeled as objective network, with user u 1Concentrate deletion from candidate user, carry out step (4e), otherwise, with user u 1Concentrate deletion from candidate user, be back to step (4b);
(4e) number of users with overloaded network i reduces one, and whether the surplus resources rate of judging overloaded network i is less than η ThIf,, then be back to step (4b), otherwise, stop to seek objective network.
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