CN101841774B - Dynamic MBSFN decision method and device based on mobile network - Google Patents
Dynamic MBSFN decision method and device based on mobile network Download PDFInfo
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Abstract
The invention relates to a dynamic MBSFN decision method and device based on a mobile network. The decision method comprises the following steps: 1. the MBMS user in the local cell is detected to obtain the total number of MBMS users in the local cell; if the total number is more than 0, the step 2 is executed, if the total number is equal to 0, the step 3 is executed; 2. if the adjacent cell turns on an MBSFN, the local cell turns on an MBSFN, the MBMS users in the local cell of which signal-to-noise ratios are lower than the signal-to-noise ratio threshold are detected to obtain the number of the MBMS users with signal-to-noise ratios lower than the threshold; if the adjacent cell turns off the MBSFN, the local cell adopts single-cell mode to perform MBMS transmission; and 3. E-Node B decides whether the local cell turns on or off the MBSFN according to the received total number of MBMS users in the adjacent cell and the number of the MBMS users with signal-to-noise ratios lower than the threshold. The method of the invention redistributes the dynamic switches or resources of the cell MBSFN transmission, thus effectively saving network resources, reducing unnecessary interferences of power transmitting to other businesses and facilitating to increase the spectrum efficiency.
Description
Technical field
The present invention relates to the mobile network, relate in particular to dynamic MBSFN decision method and the device of movement-based network.
Background technology
The multimedia broadcast-multicast service (E-MBMS) that strengthens has been introduced single frequency network (SFN) transmission means in Access Network, being multimedia broadcasting single frequency network (MBSFN) transmission means, is exactly to carry out synchronous transmission with same frequency in a plurality of residential quarters at one time.Use this transmission means can save frequency resource, improve the availability of frequency spectrum.This multiple sectors at same keeps pouring in the defeated diversity that brings and can solve the problems such as blind area covering simultaneously, strengthens the reliability that receives, and improves coverage rate.
Consider in the middle of the MBSFN networking, if a part of MBSFN residential quarter is closed the business transmission of MBMS, the Radio Resource in these residential quarters can be re-started planning, be used for the transmission of other business.For dynamic MBSFN, if be positioned at the user terminal expectation reception MBMS in MBSFN zone, by the zone of MBSFN, this user can obtain enough quality signals and cover; For MBSFN part residential quarter, the MBSFN zone does not need these residential quarters to contribute for uniting to cover, and at this moment, these residential quarters can be planned the Radio Resource that is used for the MBMS transmission again, in order to transmit other business.But in this case, this residential quarter brings interference will for other MBSFN adjacent cells, keeps this interference minimum in design process as far as possible.
At present, do not have a kind of reasonable, effective method for MBSFN dynamic transmission mode decision.The most setting is all to adopt semi-static method, i.e. pre-configured MBSFN cell transmission state.This mode can not adapt to the demand that in the residential quarter, the user changes, when in the residential quarter, MBMS user changes, semi-static collocation method can't carry out real-time tracking to this state, thereby causes the unreasonable allocation to MBSFN, causes the wasting of resources and other business are brought the problems such as interference.
The counting user number is one of the important step that judges whether to open the MBSFN transmission of this residential quarter.At application number be: 200810056286.X, patent name is for disclosing the method for counting of a kind of E-MBMS in the Chinese patent application of " a kind of evolution type multimedia broadcast multicast service counting method, system and equipment ", the method comprises: when E-Node B determines the E-MBMS business is initiated counting process, send counting demand signalling and corresponding probability factor to each terminal; After terminal received described counting demand signalling and probability factor, when determining self to send corresponding counting sequence, the relative position according to the descending time slot of self correspondence sent corresponding counting sequence; The described counting sequence that E-Node B sends the terminal that receives detects, and counts the peak value number over power threshold.It is the method for counting of E-MBMS hereinafter to be referred as this method of counting.
Can be found out by foregoing, the counting statistics method that is used for E-MBMS is provided in this patent application.Simultaneously, this patent application determines whether to carry out many cell transmission or single cell transmission by simple threshold value.But, whether open the MBSFN transmission of this residential quarter, not only need to consider this community user number, also need to consider the percentage contribution to MBSFN integral body, this simple judgement mode can not satisfy the demand of network.
Summary of the invention
In order to solve above-mentioned technical problem, dynamic MBSFN decision method and the device of movement-based network are provided, its purpose is, the method of counting of employing E-MBMS detects the APPROXIMATE DISTRIBUTION of the MBMS terminal of adjacent cell, according to this type of information, this residential quarter can calculate home cell to the contribution degree attribute of adjacent cell; By the calculating to contribution degree, can judge namely whether the MBSFN transmitting switch of current area is opened, simultaneously, normally carry out in the situation that do not affect the MBSFN area business, this residential quarter can be redistributed the MBSFN resource, offers other business and uses, and improves spectrum efficiency.
The invention provides the dynamic MBSFN decision method of movement-based network, comprising:
Step 1 detects this cell MBMS user, obtains this cell MBMS total number of users; If this cell MBMS total number of users is greater than 0, execution in step 2, if this cell MBMS total number of users equals 0, execution in step 3;
Step 2, if adjacent cell is opened MBSFN, MBSFN is opened in this residential quarter, detects this residential quarter lower than the MBMS user of signal-noise ratio threshold, obtains this residential quarter lower than the MBMS number of users of signal-noise ratio threshold; If adjacent cell is closed MBSFN, this residential quarter adopts single cell pattern to carry out the MBMS transmission;
Step 3, adjacent cell MBMS total number of users be greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN opens; Adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and makes Radio Resource be in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN closes, and the Radio Resource that MBSFN uses is in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and the Radio Resource that transmission MBSFN uses can be redistributed;
Wherein, S is that Hot Spot MBMS receives user's statistical value, and D is dissatisfied MBMS number of users statistics lower limit.
In step 2, the E-Node B of this residential quarter is placed in this residential quarter the state of opening MBSFN or closing MBSFN, and the state that the E-Node B of adjacent cell opens MBSFN with this adjacent cell or closes MBSFN sends to this residential quarter; In step 3, the E-Node B of adjacent cell sends to this residential quarter with adjacent cell MBMS total number of users and adjacent cell lower than the MBMS number of users of signal-noise ratio threshold.
In step 1, according to the initial probability factor that sets in advance, utilize the method for counting of E-MBMS to obtain this cell MBMS number of users.
Step 1 specifically comprises:
Step 10, E-Node B arranges initial probability factor;
Step 11, E-Node B sends the counting request of initial probability factor and Detection of Existence;
Step 12, MBMS user side are completed probabilistic testing after receiving described counting demand signalling and probability factor.
Step 13, the MBMS user side by probabilistic testing sends corresponding counting sequence according to the relative position of self corresponding descending time slot;
Step 14, E-Node B carries out coherent detection to the described sequence that the MBMS user side is sent, and counts the peak value number over threshold value, i.e. this cell MBMS total number of users.
In step 2, according to the signal-noise ratio threshold that sets in advance, utilize the method for counting of E-MBMS to obtain this residential quarter lower than the MBMS number of users of signal-noise ratio threshold.
According to the signal-noise ratio threshold that sets in advance, utilize the method for counting of E-MBMS to obtain this residential quarter and specifically comprise lower than the MBMS number of users of signal-noise ratio threshold:
Step 20, E-Node B arranges signal-noise ratio threshold;
Step 21, E-Node B sends the counting request lower than the MBMS user of signal-noise ratio threshold;
Step 22, the MBMS user side is adjudicated signal to noise ratio according to the counting request lower than the MBMS user of signal-noise ratio threshold that receives;
Step 23 is completed probabilistic testing lower than the MBMS user side of signal-noise ratio threshold;
Step 24, the counting request of the MBMS user side response to network end low signal-to-noise ratio by probabilistic testing;
Step 25, E-Node B carries out coherent detection according to the counting sequence of MBMS user side response, and estimation is lower than the MBMS number of users of signal-noise ratio threshold.
The invention provides the dynamic MBSFN decision device of movement-based network, comprise MBMS user side and E-Node B,
E-Node B for detection of this cell MBMS user, obtains this cell MBMS total number of users;
Greater than 0 o'clock, if adjacent cell is opened MBSFN, MBSFN was opened in this residential quarter, detects this residential quarter lower than the MBMS user of signal-noise ratio threshold, obtains this residential quarter lower than the MBMS number of users of signal-noise ratio threshold in this cell MBMS total number of users; If adjacent cell is closed MBSFN, this residential quarter adopts single cell pattern to carry out the MBMS transmission;
Adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN opens; Adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and makes Radio Resource be in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN closes, and the Radio Resource that MBSFN uses is in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and the Radio Resource that transmission MBSFN uses can be redistributed;
Wherein, S is that Hot Spot MBMS receives user's statistical value, and D is dissatisfied MBMS number of users statistics lower limit.
The E-Node B of this residential quarter is placed in this residential quarter the state of opening MBSFN or closing MBSFN, and the state that the E-Node B of adjacent cell opens MBSFN with this adjacent cell or closes MBSFN sends to this residential quarter; The E-Node B of adjacent cell also sends to this residential quarter with adjacent cell MBMS total number of users and adjacent cell lower than the MBMS number of users of signal-noise ratio threshold.
E-Node B is used for utilizing the method for counting of E-MBMS to obtain this cell MBMS number of users according to the initial probability factor that sets in advance.
E-Node B is used for arranging initial probability factor; Send the counting request of initial probability factor and Detection of Existence;
The MBMS user side is used for completing probabilistic testing; User side by probabilistic testing sends corresponding counting sequence according to the relative position of self corresponding descending time slot;
E-Node B is used for carrying out coherent detection according to the counting sequence of MBMS user side response, estimates this cell MBMS number of users.
E-Node B is used for utilizing the method for counting of E-MBMS to obtain this residential quarter lower than the MBMS number of users of signal-noise ratio threshold according to the signal-noise ratio threshold that sets in advance.
E-Node B is used for arranging signal-noise ratio threshold; Transmission is lower than the MBMS user's of signal-noise ratio threshold counting request;
The MBMS user side is used for according to the counting request lower than the MBMS user of signal-noise ratio threshold that receives, signal to noise ratio being adjudicated; MBMS user side lower than signal-noise ratio threshold is completed probabilistic testing; The counting request of the MBMS user side response to network end low signal-to-noise ratio by probabilistic testing;
E-Node B is used for carrying out coherent detection according to the counting sequence of MBMS user side response, and estimation is lower than the MBMS number of users of signal-noise ratio threshold.
Whether the present invention can make each residential quarter real-time judge in the MBMS transmission range adopt the MBSFN transmission means to transmit by dynamic MBSFN decision method.Dynamic switch or resource to residential quarter MBSFN transmission are redistributed, and can effectively save Internet resources, reduce meaningless power emission to the interference that other business produces, and help the raising of spectrum efficiency.Compare with the method for semi-static pre-configured MBSFN residential quarter, the advantage of dynamic transmission pattern mainly is to improve the availability of frequency spectrum in the MBMS residential quarter, improves network planning speed.By dynamic MBSFN, the Radio Resource of home cell can be saved effectively, is this resource can also be redistributed to other business to use when adjacent cell be there is no considerable influence.
Description of drawings
Fig. 1 is the main flow chart of dynamic MBSFN decision method provided by the invention;
Fig. 2 is the counting flow chart of E-MBMS;
Fig. 3 is the user distribution overhaul flow chart based on signal to noise ratio provided by the invention;
Fig. 4 is the dynamic MBSFN decision method flow chart of movement-based network provided by the invention.
Embodiment
The present invention calculates the contribution degree of adjacent cell by local Detection of Existence and this residential quarter to this cell MBMS transmission, considers the method that the transmission state to dynamic MBSFN judges that provided.
MBSFN opens the continuous needs of principal security MBMS, in any given zone, because the introducing in MBSFN zone can be guaranteed the abundance that MBMS covers.At present, the definition of MBSFN has continued the regulation of Rel.6MBMS, when the user moves in the minizone, without any need for handoff procedure just can complete the seamless link of MBMS, still the user terminal that allows simultaneously to receive MBMS is in Radio Resource control idle condition RRC_Idle, and need not transfer to Radio Resource control connection state RRC_Connected.
Dynamic MBSFN pattern conversion in the present invention can be selected optimum transmission mode for each residential quarter, comprises MBSFN transmission and single cell transmission.During MBMS carried out, judging process can be completed based on the reception user's space distributed intelligence in the MBMS zone, and this dynamic process can repeat.When the MBMS overlay area of transmitting only is a part of residential quarter, and the part minizone is when independent, and dynamic MBSFN judging process namely is triggered, and available Radio Resource is just saved in the residential quarter that does not need like this to participate in the MBSFN covering, in order to transmit other business; And the residential quarter that still needs to cover MBMS can convert the transmission means of single residential quarter to when there is no the adjacent cell associating.
The present invention has mainly proposed the decision method of dynamic MBSFN, can effectively judge the on off state of MBSFN by the method.Concerning a MBSFN zone (in this zone, the residential quarter all adopts the MBSFN transmission means to send business, consists of the MBMS Single Frequency Network), there is two states the residential quarter in the zone: MBSFN opens and MBSFN closes.When MBSFN closes, can pass criteria judge whether that resource with this residential quarter is in order to transmit other point to point service, PTP.
Dynamic MBSFN decision method provided by the invention has provided criterion and the algorithm flow of in real time the MBSFN transmission state being adjudicated, comprising local Detection of Existence, low signal-to-noise ratio user detection algorithm and this residential quarter computational methods to the adjacent cell contribution degree.
The user that local Detection of Existence method in the present invention is completed receiving MBMS in the residential quarter by the method for counting of E-MBMS detects, and Detection of Existence is also the prerequisite of opening MBSFN as the key factor of developing MBMS transmission.
Low signal-to-noise ratio user of the present invention detects by the method for counting of E-MBMS and realizes, the total number of users associating of MBMS low signal-to-noise ratio user's quantity and MBMS can to user's distribution situation estimation, be calculated to realize the residential quarter contribution degree.
Residential quarter of the present invention contribution degree computational methods receive the compromise of MBMS user distribution according to adjacent cell and consider to complete estimation.Adjacent cell receives MBMS user distribution situation and is determined by the total number of users of MBMS and low signal-to-noise ratio MBMS number of users.
Dynamic decision algorithm of the present invention is adjudicated the MBSFN opening the contribution degree of adjacent cell and local the existence according to this residential quarter.If there is MBMS user in this residential quarter, can determine according to the MBSFN opening of adjacent cell whether (the MBSFN opening of adjacent cell can obtain alternately by adjacent cell) opens local MBSFN transmission or single cell transmission; If this residential quarter without MBMS user, can adjudicate whether open local MBSFN transmission to the adjacent cell contribution degree according to this residential quarter.
In the present invention, consider that mainly two influencing factors adjudicate the transmission state of residential quarter:
1) local existence factor;
2) adjacent cell contribution degree factor.
For local existing factor, mainly refer to whether exist in current area receive MBMS user, if do not exist, home cell is " the empty residential quarter " of current MBMS.Local existence factor is the important prerequisite of judgement, and when there was MBMS user in this locality, MBMS must cover, and coverage mode is MBSFN or single cell transmission; When there is not MBMS user in this locality, namely can consider second factor one adjacent cell contribution degree factor.When home cell is larger to the adjacent cell contribution degree, can judge that current area continues to open the MBSFN transmission, receives with the high-quality that guarantees other cell MBMSs user; If this residential quarter contribution degree hour, can be considered to close the MBSFN state, but disturb because redistributing of resource can produce adjacent cell, therefore to consider to close MBSFN for saving the power angle for this kind scene, the carrying Radio Resource enters idle condition; If the contribution degree of this residential quarter is minimum or during zero contribution degree, owing to disturbing this moment and can ignoring, therefore the Radio Resource of former MBSFN can be used for other business of carrying.For judging process, first factor plays a decisive role, and when having MBMS user in the residential quarter, the transmission of MBSFN or single residential quarter must be carried out.When receiving the user without MBMS in home cell, can use second factor, namely the adjacent cell contribution degree is carried out state justify.
The main flow process of the dynamic MBSFN decision method of the present invention's design is shown in Figure 1:
Step 101 is completed the detection that local MBMS is received the user.Detection method mainly realizes by the counting process of E-MBMS, estimates the reception number of users by setting and coherent detection to probability factor.
Step 102 if there is MBMS user in this locality, is completed the statistics to low signal-to-noise ratio MBMS user.Statistical method and step 101 similarly method of counting are completed, and use during contribution degree to be calculated.
The below will describe in detail the judging process in the present invention:
(1) local Detection of Existence
The detection of local existence is mainly completed by the counter mechanism of E-MBMS.This mechanism is mainly completed the up access procedure of E-MBMS UE, can estimate number of users simultaneously.Concrete steps are as shown in Figure 2:
Step 202, E-Node B determines to initiate counting process, and probability factor is sent to UE.
Step 206, E-Node B sends to UE with new probability factor.
(2) user distribution based on signal to noise ratio detects
The detection method of low signal-to-noise ratio MBMS user distribution and the counting process of E-MBMS are substantially similar, and difference is that the user's of this process of needs response snr of received signal should be lower than certain thresholding.Consider that current area in the present invention will add up total number of users of receiving MBMS and receive number of users lower than the MBMS of signal-noise ratio threshold, therefore, local Detection of Existence is detected these two processes merging with the low signal-to-noise ratio user here and provide.As shown in Figure 3:
Step 301, E-Node B initialization signal-noise ratio threshold, and the corresponding probability factor of each process;
Step 302-step 303, E-Node B sends the counting request of initial configuration information and Detection of Existence;
Step 304, user side is completed probabilistic testing;
Step 305, the user side by probabilistic testing is carried out counting response, and the position according to the descending time slot of self correspondence sends corresponding counting sequence, the counting request of response to network end Detection of Existence;
Step 306, E-Node B carries out coherent detection, and MBMS receives number of users according to the rule estimation;
Step 307, E-Node B sends the counting request of low signal-to-noise ratio;
Step 308, user side is adjudicated signal to noise ratio according to reception information;
Step 309 is completed probabilistic testing lower than the user side of signal-noise ratio threshold;
Step 310, the counting request of the user's response to network end low signal-to-noise ratio by probabilistic testing, the position according to the descending time slot of self correspondence sends corresponding counting sequence;
Step 311, E-Node B carries out coherent detection, and the MBMS of estimation low signal-to-noise ratio receives number of users.
More accurate for the estimation to number of users in testing process, can repeatedly revise thresholding and probability factor in this process, to reach more rational result.
(3) adjacent cell contribution degree computational methods
For cell status is adjudicated, the present invention has defined this parameter of adjacent cell contribution degree.Need to consider that whether this residential quarter can bring raising on performance for the adjacent cell of MBSFN owing to not having MBMS to receive the user in this residential quarter, so this parameter of contribution degree is very important.Consider the complexity of realization, only defined three kinds of contribution degree levels in the present invention and adjudicated.The granularity of contribution degree can be set according to the actual needs, flexibly.Contribution degree in the present invention is defined as follows:
High contribution degree: these level represents that adjacent cell has a large amount of reception MBMS users to be in the adjacent cell boundary, and adjacent cell may be in MBSFN traffic hotspots overlay area, and therefore, this residential quarter has very high contribution degree for adjacent cell.
Low contribution degree: these level represents that adjacent cell has a small amount of user need to receive the MBMS data of this residential quarter, under this scene, can close the transmission of MBSFN, but consider the interference to adjacent cell MBMS transmission, the resource that MBSFN can only be used is idle, to reach the purpose of saving transmitting power, can not distribute to other business and use.
Zero contribution degree: these level represents that adjacent cell does not have or does not almost have the user to receive current MBMS data.In this case, MBSFN can be closed and Radio Resource be redistributed to other business used.
When this residential quarter was low contribution degree or zero contribution degree to the contribution degree of adjacent cell, the MBSFN transmission of this residential quarter should be in closed condition.
The present invention provides the corresponding relation of user distribution and contribution degree.The user substantially distributes and can be completed by the testing process in the main flow first two steps.Based on above-mentioned two steps, can estimate the total number of users and the signal to noise ratio that receive MBMS in the residential quarter and receive number of users lower than the MBMS that sets thresholding, be defined as respectively N1 and N2.Simultaneously, definition threshold value S is that Hot Spot MBMS receives user's statistical value, and definition threshold value D is dissatisfied MBMS number of users statistics lower limit.These two threshold value thresholdings are optimized personnel by real network and are set up on their own according to statistical analysis and experience.According to adjacent cell user distribution scene, respectively that N1, N2 is corresponding with corresponding contribution degree:
When N1＞S, N2＞D, the user that adjacent cell receives MBMS is a lot, and be distributed in the border and the user that is in shade a lot, this moment, this residential quarter belonged to " high contribution degree " to adjacent cell, the MBSFN state can be set to open;
When N1＞S, N2＜D, the user that adjacent cell receives MBMS is a lot, and majority concentrates on the high area of coverage of signal, i.e. adjacent cell center, and this moment, this residential quarter belonged to " low contribution degree " to adjacent cell, the MBSFN state can be set to close, and considers adjacent cell is disturbed, and Radio Resource wouldn't divide and manufactures its and use;
N1＜S, during N2＞D, the user of adjacent cell reception MBMS is less, and these users are distributed in cell boarder or shadow fading district more, this moment, this residential quarter belonged to " low contribution degree " to the contribution degree of adjacent cell, the MBSFN state can be set to close, and considers adjacent cell is disturbed, and Radio Resource wouldn't divide and manufactures its and use;
When N1＜S, N2＜D, it is less that adjacent cell receives the user of MBMS, and minute quantity does not even have user distribution at cell boarder, this moment, this residential quarter belonged to " zero contribution degree " to the contribution degree of adjacent cell, and the MBSFN state can be set to close, and the Radio Resource that transmits simultaneously MBSFN can be redistributed.
(4) MBSFN state justify
According to the description of above-mentioned steps, the present invention has provided the decision method of dynamic MBSFN.Concrete judgement principle is as follows:
1) if current area exists MBMS to receive the user, the MBSFN state according to adjacent cell carries out the transmission means selection.If adjacent cell is the MBSFN opening, this residential quarter still uses the MBSFN transmission means to carry out; If the MBSFN of adjacent cell is transmitted as closed condition, this residential quarter adopts the transmission means of single residential quarter to carry out the transmission of MBMS;
2) if there is not the user who receives MBMS in this residential quarter, judge according to following principle:
A) current area belongs to " high contribution degree " residential quarter for the MBSFN transmission of adjacent cell, and the MBSFN of this residential quarter transmission should be set to opening so;
B) transmission belongs to " low contribution degree " residential quarter to current area for the MBSFN of adjacent cell, and the MBSFN of this residential quarter transmission should be set to closed condition so, and the Radio Resource of transmission MBSFN is in idle condition, brings interference in order to avoid redistribute;
C) transmission belongs to " zero contribution degree " residential quarter to current area for the MBSFN of adjacent cell, and the MBSFN of this residential quarter transmission should be set to closed condition so, and Radio Resource can redistribute, and improves spectrum efficiency.
Detailed process of the present invention is as shown in Figure 4:
Step 401, E-Node B completes the cell parameter initialization, comprises the predictive user number, sets the PF value, the SNR thresholding;
Step 402, each cell detection home cell MBMS user, estimation total number of users N1;
Step 403, each residential quarter judge whether to exist MBMS to receive the user, if respective cell execution in step 404, otherwise respective cell execution in step 410;
Step 404 is carried out alternately with adjacent cell, judges whether adjacent cell opens MBSFN, if so, and execution in step 405, otherwise execution in step 409;
Step 405, MBSFN residential quarter switch is set to out;
Step 406, estimation N2 is lower than the MBMS number of users of signal-noise ratio threshold;
Step 407 waits for that sense cycle arrives next time;
Step 408 to next sense cycle, is returned to step 402;
Step 409 is closed the MBSFN transmission, opens single cell transmission pattern, execution in step 407;
Step 410 is carried out N1 with adjacent cell, the N2 parameter is mutual, and N1, N2 parameter are preserved and processed by the MCE under the E-Node B of each residential quarter (MBMS coordination entity) functional entity;
Step 411 judges whether to receive adjacent cell parameter N 1, N2; If so, execution in step 412, otherwise execution in step 410;
Step 412, the calculating book residential quarter contribution degree to adjacent cell;
Step 413 judges whether it is high contribution degree residential quarter, if so, and execution in step 416, if not, execution in step 414;
Step 414 judges whether it is low contribution degree residential quarter, if so, and execution in step 417, if not, execution in step 415;
Step 415, MBSFN residential quarter switch is set to cut out, and again plans this local resource, idling-resource is redistributed to other business used, and distribution method is determined by E-Node B; Execution in step 418;
Step 416, MBSFN residential quarter switch are set to open, execution in step 418;
Step 417, MBSFN residential quarter switch is set to cut out, and Radio Resource is in idle condition, execution in step 418;
Step 418 waits for that sense cycle arrives next time;
Step 419 arrives next sense cycle, execution in step 402.
Comprehensive above-mentioned steps, the present invention can realize the judgement to the dynamic MBSFN transmission state.
The MBSFN switch is transmission state, is set by E-Node B, and E-Node B sets by the allocation manager of Radio Resource being completed the MBSFN switch.
Those skilled in the art can also carry out various modifications to above content under the condition that does not break away from the definite the spirit and scope of the present invention of claims.Therefore scope of the present invention is not limited in above explanation, but determined by the scope of claims.
Claims (12)
1. the dynamic MBSFN decision method of movement-based network, is characterized in that, comprising:
Step 1 detects this cell MBMS user, obtains this cell MBMS total number of users; If this cell MBMS total number of users is greater than 0, execution in step 2, if this cell MBMS total number of users equals 0, execution in step 3;
Step 2, if adjacent cell is opened MBSFN, MBSFN is opened in this residential quarter, detects this residential quarter lower than the MBMS user of signal-noise ratio threshold, obtains this residential quarter lower than the MBMS number of users of signal-noise ratio threshold; If adjacent cell is closed MBSFN, this residential quarter adopts single cell pattern to carry out the MBMS transmission;
Step 3, adjacent cell MBMS total number of users be greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN opens; Adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and makes Radio Resource be in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN closes, and the Radio Resource that MBSFN uses is in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and the Radio Resource that transmission MBSFN uses can be redistributed;
Wherein, S is that Hot Spot MBMS receives user's statistical value, and D is dissatisfied MBMS number of users statistics lower limit.
2. the dynamic MBSFN decision method of movement-based network as claimed in claim 1, it is characterized in that, in step 2, the state that the E-Node B of adjacent cell opens MBSFN with this adjacent cell or closes MBSFN sends to this residential quarter, and the E-Node B of this residential quarter is placed in this residential quarter the state of opening MBSFN or closing MBSFN; In step 3, the E-Node B of adjacent cell sends to this residential quarter with adjacent cell MBMS total number of users and adjacent cell lower than the MBMS number of users of signal-noise ratio threshold.
3. the dynamic MBSFN decision method of movement-based network as claimed in claim 1, is characterized in that, in step 1, according to the initial probability factor that sets in advance, utilizes the method for counting of E-MBMS to obtain this cell MBMS number of users.
4. the dynamic MBSFN decision method of movement-based network as claimed in claim 3, is characterized in that, step 1 specifically comprises:
Step 10, E-Node B arranges initial probability factor;
Step 11, E-Node B sends the counting request of initial probability factor and Detection of Existence;
Step 12, MBMS user side are completed probabilistic testing after receiving described counting demand signalling and probability factor;
Step 13, the MBMS user side by probabilistic testing sends corresponding counting sequence according to the relative position of self corresponding descending time slot;
Step 14, E-Node B carries out coherent detection to the described sequence that the MBMS user side is sent, and counts the peak value number over threshold value, i.e. this cell MBMS total number of users.
5. the dynamic MBSFN decision method of movement-based network as claimed in claim 1, is characterized in that, in step 2, according to the signal-noise ratio threshold that sets in advance, utilizes the method for counting of E-MBMS to obtain this residential quarter lower than the MBMS number of users of signal-noise ratio threshold.
6. the dynamic MBSFN decision method of movement-based network as claimed in claim 5, is characterized in that, according to the signal-noise ratio threshold that sets in advance, utilizes the method for counting of E-MBMS to obtain this residential quarter and specifically comprise lower than the MBMS number of users of signal-noise ratio threshold:
Step 20, E-Node B arranges signal-noise ratio threshold;
Step 21, E-Node B sends the counting request lower than the MBMS user of signal-noise ratio threshold;
Step 22, the MBMS user side is adjudicated signal to noise ratio according to the counting request lower than the MBMS user of signal-noise ratio threshold that receives;
Step 23 is completed probabilistic testing lower than the MBMS user side of signal-noise ratio threshold;
Step 24, the counting request of the MBMS user side response to network end low signal-to-noise ratio by probabilistic testing;
Step 25, E-Node B carries out coherent detection according to the counting sequence of MBMS user side response, and estimation is lower than the MBMS number of users of signal-noise ratio threshold.
7. the dynamic MBSFN decision device of movement-based network, comprise MBMS user side and E-NodeB, it is characterized in that,
E-Node B for detection of this cell MBMS user, obtains this cell MBMS total number of users:
If described cell MBMS total number of users was greater than 0 o'clock: if adjacent cell is opened MBSFN, MBSFN is opened in this residential quarter, detects this residential quarter lower than the MBMS user of signal-noise ratio threshold, obtains this residential quarter lower than the MBMS number of users of signal-noise ratio threshold; If adjacent cell is closed MBSFN, this residential quarter adopts single cell pattern to carry out the MBMS transmission;
If described cell MBMS total number of users equals at 0 o'clock: adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN opens; Adjacent cell MBMS total number of users is greater than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and makes Radio Resource be in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during greater than D, and this residential quarter MBSFN closes, and the Radio Resource that MBSFN uses is in idle condition; Adjacent cell MBMS total number of users is less than S, and adjacent cell is lower than the MBMS number of users of signal-noise ratio threshold during less than D, and this residential quarter MBSFN closes, and the Radio Resource that transmission MBSFN uses can be redistributed;
Wherein, S is that Hot Spot MBMS receives user's statistical value, and D is dissatisfied MBMS number of users statistics lower limit.
8. the dynamic MBSFN decision device of movement-based network as claimed in claim 7, it is characterized in that, the E-Node B of this residential quarter is placed in this residential quarter the state of opening MBSFN or closing MBSFN, and the state that the E-Node B of adjacent cell opens MBSFN with this adjacent cell or closes MBSFN sends to this residential quarter; The E-Node B of adjacent cell also sends to this residential quarter with adjacent cell MBMS total number of users and adjacent cell lower than the MBMS number of users of signal-noise ratio threshold.
9. the dynamic MBSFN decision device of movement-based network as claimed in claim 7, is characterized in that, E-Node B is used for utilizing the method for counting of E-MBMS to obtain this cell MBMS number of users according to the initial probability factor that sets in advance.
10. the dynamic MBSFN decision device of movement-based network as claimed in claim 9, is characterized in that,
E-Node B is used for arranging initial probability factor; Send the counting request of initial probability factor and Detection of Existence;
The MBMS user side is used for completing probabilistic testing; User side by probabilistic testing sends corresponding counting sequence according to the relative position of self corresponding descending time slot;
E-Node B is used for carrying out coherent detection according to the counting sequence of MBMS user side response, estimates this cell MBMS number of users.
11. the dynamic MBSFN decision device of movement-based network as claimed in claim 7 is characterized in that, E-Node B is used for utilizing the method for counting of E-MBMS to obtain this residential quarter lower than the MBMS number of users of signal-noise ratio threshold according to the signal-noise ratio threshold that sets in advance.
12. the dynamic MBSFN decision device of movement-based network as claimed in claim 11 is characterized in that,
E-Node B is used for arranging signal-noise ratio threshold; Transmission is lower than the MBMS user's of signal-noise ratio threshold counting request;
The MBMS user side is used for according to the counting request lower than the MBMS user of signal-noise ratio threshold that receives, signal to noise ratio being adjudicated; MBMS user side lower than signal-noise ratio threshold is completed probabilistic testing; The counting request of the MBMS user side response to network end low signal-to-noise ratio by probabilistic testing;
E-Node B is used for the counting sequence of MBMS user side response is carried out coherent detection, and estimation is lower than the MBMS number of users of signal-noise ratio threshold.
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