CN101801042A - Strategy for predictive multi-service resource reservation applicable to railway - Google Patents
Strategy for predictive multi-service resource reservation applicable to railway Download PDFInfo
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- CN101801042A CN101801042A CN201010034313A CN201010034313A CN101801042A CN 101801042 A CN101801042 A CN 101801042A CN 201010034313 A CN201010034313 A CN 201010034313A CN 201010034313 A CN201010034313 A CN 201010034313A CN 101801042 A CN101801042 A CN 101801042A
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Abstract
The invention discloses a strategy for predictive multi-service resource reservation applicable to railways and belongs to the technical field of railway communication. The strategy is capable of allocating the resources for railway communication according to the unique access strategy based on the characteristics of the capability of meeting various requirements for multiple services according to the requirements for railway communication, good predictability and the like. The invention not only has the advantage of more flexible resource allocation, but also ensures the quality requirements and priority of multiple services, so as to maximize the system capacity on the basis and predict various accessible traffics of the system.
Description
Technical field
The present invention relates to the railway communication technical field, especially a kind of multi-service resource reservation strategy that is applied to railway with predictability.
Background technology
The present available resource of railway applications is the 4M frequency spectrum only, and the application that faces is a lot, and as railway emergency call, train scheduling, Train Control, passenger information service etc., this system is the serious constrained system of resource.There are multiple different business and grade of service demand simultaneously, as to real-time and the high row control business of reliability requirement, other passenger information service of general level etc.These business have proposed different demands to resource, and present fixed channel assignment method can't satisfy its demand, therefore the resource technology are scrutinized to consider it is very necessary.
Railway section business and characteristic have better predictability, exercise track, the train interval speed of service etc. when normally moving in the interval as train.The resource policy that research has better predictability is significant.
Summary of the invention
The objective of the invention is problem, proposed a kind of multi-service resource reservation strategy that is applied to railway with predictability at the present Railroad Communication System resource scarcity described in the background technology.
It is characterized in that, may further comprise the steps:
Step 1: in a system with n different business and 2n independent QoS condition, the initial value of initialization system capacity, and the arrival rate of definite miscellaneous service, required number of resources, residence time;
Wherein, in the described QoS condition, n condition is at n new type of call, and all the other n at the individual type of call of distinguishing more of n;
Step 2: calculate cutting off rate and the blocking rate called out;
Channel reservation value R
jBe non-integer, when a type be j (j=1,2 ..., 2n-1, when 2n) calling produces, produce simultaneously a random number X ∈ [0,1);
If
After this calling is received, if number of available channels is not less than
Call accepted so; Otherwise calling gets clogged or abandons;
If
After this calling is received, if number of available channels is not less than R
j, call accepted so; Otherwise, get clogged or abandon;
If the blocking rate of the all-calls of every kind of business and cutting off rate satisfy their QoS conditions separately simultaneously, skip to step 3, judge whether the capacity of system reaches optimal value;
If cutting off rate and blocking rate are bigger than normal, then increase channel reservation value R
jIf cutting off rate and blocking rate are less than normal, then reduce channel reservation value R
j
Wherein, R
jValue approach gradually by dichotomy;
Step 3: more current power system capacity and power system capacity before, if exceed the accuracy rating of setting, then approach with dichotomy, recomputate described R
jValue, and return step 2; If in the accuracy rating of setting, all R that draw
jValue is the channel reservation value of being asked.
The present invention is not only more flexible in resource allocation, and can guarantee the quality requirement and the priority of miscellaneous service, carries out the largest optimization of power system capacity on this basis, various types of traffic carrying capacitys that the system of doping can insert.
Description of drawings
Fig. 1: tactful schematic diagram of the present invention;
Embodiment
Below in conjunction with accompanying drawing preferred embodiment is elaborated.Should be emphasized that following explanation only is exemplary, rather than in order to limit the scope of the invention and to use.
What basic thought of the present invention was the characteristics that have a fine predictability at the railway business with priority is different, gives every kind professionally to reserve certain channel.By this strategy, make every kind of business all reach under the situation of minimum blocking rate and interruption rate the entire system maximum capacity.Multi-channel resource reservation (MFCR) strategy is applicable to many service environments, for each different type of call provides a definite protected level.In the multi-service railway network that different services of n kind and 2n independent QoS restrictive condition are arranged, MFCR has reserved 2n-1 different channels number.As shown in Figure 1, lowest priority is called out (being called Class1 calls out) can not use the R1 channel, inferior lowest priority is called out (type 2 is called out) can not use the R2 channel, and the like, inferior high-priority call (type 2n-1 calling) can not be used the R2n-1 channel, and limit priority is called out (type 2n calling) and do not inserted restriction.That is, Rj is Priority Call j+1 ..., 2n-1, the number of channel that 2n reserves.
Example of the present invention be under the MATLAB7.0 environment with the data instance of certain Line for Passenger Transportation, the emulation that the resource reservation policy under two kinds of service conditions is carried out.According to the data that investigation obtains, can do following hypothesis: call out average duration μ
1=μ
2=1/72, call out average residence time η
1=η
2=1/46, the number of channel b that row transfer professional calling to need
1=1, the number of channel b that the professional calling of row control needs
2The new calling arrival rate ratio f of=2, two kinds of business
1, f
2Be respectively 0.5,0.5.
The channel reservation of every kind of business is counted R
jR can be drawn by nested circulation
jThe basis for estimation of value is the cutting off rate and the blocking rate of corresponding business need.Wherein, these two values of blocking rate and cutting off rate are in the probability under the various states when needing computing system to stablize.The state of system is limited Markov Chain, and wherein the Gauss-Seidel method is adopted in the calculating of the probability of stability, sets the precision of approaching, and judges with norm.
Table 1 is the result after the emulation,
Table 1 embodiment simulation result
| ??C max | ?R h1N2h2 | ??R N2h2 | ??R h2 | ??P b1 | ??P b2 | ??P ft1 | ??P ft2 |
| ??4.3199 | ?1.7340 | ??1.0000 | ??0.7340 | ??0.0020 | ??0.0020 | ??0.0010 | ??0.0010 |
Wherein, C
MaxThe system's heap(ed) capacity that obtains for emulation; R
H1N2h2, R
N2h2, R
H2Represent the various professional numbers of channel of reserving that are respectively; P
B1, P
B2Represent the call blocking rate of Class1 and type 3 respectively; P
Ft1, P
Ft2Represent the calling cutting off rate of Class1 and type 3 respectively.
Simulation result shows: under blocking rate that guarantees various types of calls and situation that cutting off rate meets the demands, the number of channel that has obtained the heap(ed) capacity of system and reserved for various types of calls, the present invention can reach the set goal, is implemented in the harmonious relations between capacity, quality and the resource.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and is familiar with those skilled in the art in the technical scope of the present invention's exposure; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.
Claims (1)
1. the multi-service resource reservation strategy with predictability that is applied to railway is characterized in that, may further comprise the steps:
Step 1: in a system with n different business and 2n independent QoS condition, the initial value of initialization system capacity, and the arrival rate of definite miscellaneous service, required number of resources, residence time;
Wherein, in the described QoS condition, n condition is at n new type of call, and all the other n at the individual type of call of distinguishing more of n;
Step 2: calculate cutting off rate and the blocking rate called out;
Channel reservation value R
jBe non-integer, when a type be j (j=1,2 ..., 2n-1, when 2n) calling produces, produce simultaneously a random number X ∈ [0,1);
If
After this calling is received, if number of available channels is not less than
Call accepted so; Otherwise calling gets clogged or abandons;
If
After this calling is received, if number of available channels is not less than R
j, call accepted so; Otherwise, get clogged or abandon;
If the blocking rate of the all-calls of every kind of business and cutting off rate satisfy their QoS conditions separately simultaneously, skip to step 3, judge whether the capacity of system reaches optimal value;
If cutting off rate and blocking rate are bigger than normal, then increase channel reservation value R
jIf cutting off rate and blocking rate are less than normal, then reduce channel reservation value R
j
Wherein, R
jValue approach gradually by dichotomy;
Step 3: more current power system capacity and power system capacity before, if exceed the accuracy rating of setting, then approach with dichotomy, recomputate described R
jValue, and return step 2; If in the accuracy rating of setting, all R that draw
jValue is the channel reservation value of being asked.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010034313A CN101801042A (en) | 2010-01-15 | 2010-01-15 | Strategy for predictive multi-service resource reservation applicable to railway |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201010034313A CN101801042A (en) | 2010-01-15 | 2010-01-15 | Strategy for predictive multi-service resource reservation applicable to railway |
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| Publication Number | Publication Date |
|---|---|
| CN101801042A true CN101801042A (en) | 2010-08-11 |
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ID=42596470
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|---|---|---|---|
| CN201010034313A Pending CN101801042A (en) | 2010-01-15 | 2010-01-15 | Strategy for predictive multi-service resource reservation applicable to railway |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102300319A (en) * | 2011-09-30 | 2011-12-28 | 北京交通大学 | Method for distributing wireless channels based on cells along railway |
-
2010
- 2010-01-15 CN CN201010034313A patent/CN101801042A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102300319A (en) * | 2011-09-30 | 2011-12-28 | 北京交通大学 | Method for distributing wireless channels based on cells along railway |
| CN102300319B (en) * | 2011-09-30 | 2013-10-23 | 北京交通大学 | Method for distributing wireless channels based on cells along railway |
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Application publication date: 20100811 |