CN109302734B - Access mode selection method for wireless access network planning - Google Patents
Access mode selection method for wireless access network planning Download PDFInfo
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- CN109302734B CN109302734B CN201811283918.6A CN201811283918A CN109302734B CN 109302734 B CN109302734 B CN 109302734B CN 201811283918 A CN201811283918 A CN 201811283918A CN 109302734 B CN109302734 B CN 109302734B
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Abstract
The invention relates to an access mode selection method for wireless access network planning. Constructing an attribute preference judgment matrix, and establishing an importance degree relation among factors considered in a planning process; obtaining the weight of each factor in the planning process from the attribute preference judgment matrix according to a fuzzy analytic hierarchy process weight sorting formula; and acquiring information of the candidate points of the base station including cost, coverage, bearing capacity and terrain under different wireless systems, performing weighted summation score according to the weight of each factor, and realizing wireless access network planning by adopting a system with high score. The invention is based on an analytic hierarchy process, can arrange direct influence relations among various factors in different levels, is suitable for the conditions of uncertainty and subjective information, and also allows experience, insight and intuition to be applied in a logical mode to obtain an optimal result.
Description
Technical Field
The invention belongs to the field of wireless communication, and particularly relates to an access mode selection method for wireless access network planning.
Background
The heterogeneous converged network is one of the future wireless communication network development trends, the heterogeneous network provides ubiquitous wireless environment, different wireless access technologies can be supported, and on the premise that multiple access modes are available, a comprehensive network planning method needs to be provided for how to select and meet the network QoS requirement and adapt to the actual environment.
At present, most researches on selection of heterogeneous wireless network access systems consider performance indexes such as construction cost, coverage degree and bearing capacity of a base station, each performance index has strong correlation, and meanwhile, topographic factors are added in the traditional access selection process, so that a planned network cannot generate signal attenuation due to the topographic factors.
Based on the above, the invention provides an access mode selection method for wireless access network planning in the wireless communication field by comprehensively considering the integrity of indexes such as cost, coverage, carrying capacity, terrain factors and the like in wireless network base station planning.
Disclosure of Invention
The invention aims to provide an access mode selection method for wireless access network planning, which utilizes a fuzzy analytic hierarchy process to comprehensively consider indexes such as cost, coverage, bearing capacity, topographic factors and the like in wireless network base station planning, thereby solving the problem of how to select a base station access mode.
In order to achieve the purpose, the technical scheme of the invention is as follows: an access mode selection method for wireless access network planning comprises the following steps:
s1, constructing an attribute preference judgment matrix, and establishing an importance degree relation among factors considered in the planning process;
s2, obtaining the weight of each factor in the planning process from the attribute preference judgment matrix according to a fuzzy analytic hierarchy process weight sorting formula;
and step S3, obtaining information of cost, coverage, bearing capacity and terrain of the candidate points of the base station under different wireless modes, carrying out weighted summation score according to the weight of each factor, and realizing wireless access network planning by adopting the mode with high score.
In an embodiment of the present invention, the step S1 is specifically implemented as follows:
comparing the attributes considered in the planning process pairwise, and grading according to the importance degree; chromatography will represent the degree of importance in the size of the number; the matrix R ═ rij ] n × n formed by the comparison result is referred to as an attribute preference determination matrix:
where rij represents the importance level of attribute i compared to attribute j, 0< rij <1 and rij 1-rji (i, j 1, 2, …, n).
In an embodiment of the present invention, the step S2 is specifically implemented as follows:
assuming that the elements a1, a2, … and an represent n elements of the criterion layer in the planning process, the attribute preference of the criterion layer determines the relationship between rij and the weighted values w1, w2, … and wn of the elements a1, a2 and … and an, as shown in formula (2):
wherein α ═ (n-1)/2;
assuming that b1, b2, … and bs represent s indexes contained in each criterion layer factor, the preference of the index layer attribute judges the relationship between rij in the proof and the weighted values w1, w2, … and ws of the elements b1, b2, … and bs, as shown in formula (3):
wherein β ═ (s-1)/2;
then, the weight calculation formula of each factor index j for the final result is shown as (4):
in one embodiment of the present invention, nine importance levels of 0.1-0.9 are used to represent the importance of each attribute.
Compared with the prior art, the invention has the following beneficial effects:
1. the planning method is based on an analytic hierarchy process, can arrange direct influence relations among various factors in different levels, is suitable for the conditions of uncertainty and subjective information, and allows experience, insight and intuition to be applied in a logical mode to obtain an optimal result;
2. the planning method is not limited to factors such as cost, coverage, bearing capacity and terrain, and can add or reduce the considered factors at any time according to requirements, so that when special conditions are met, the planning method can be quickly improved and decision judgment after improvement can be made.
Drawings
FIG. 1 is a diagram of a hierarchy used in the present invention.
Fig. 2 is a diagram of coordinate addresses of base stations and terrain contours selected in a simulation area.
Fig. 3 shows respective cost parameters of 230MHz systems in the simulation area.
FIG. 4 shows the respective cost parameters of the 1800MHz system in the simulation area.
Fig. 5 shows the coverage parameters of the 230MHz format in the simulation area.
Fig. 6 shows the respective coverage parameters of the 1800MHz system in the simulation area.
Fig. 7 shows respective bearer parameters of 230MHz systems in the simulation area.
Fig. 8 shows respective loading parameters of 1800MHz systems in the simulation area.
Fig. 9 is a simulation result diagram.
Detailed Description
The technical scheme of the invention is specifically explained below with reference to the accompanying drawings.
The invention provides an access mode selection method for wireless access network planning, which comprises the following steps:
s1, constructing an attribute preference judgment matrix, and establishing an importance degree relation among factors considered in the planning process;
s2, obtaining the weight of each factor in the planning process from the attribute preference judgment matrix according to a fuzzy analytic hierarchy process weight sorting formula;
and step S3, obtaining information of cost, coverage, bearing capacity and terrain of the candidate points of the base station under different wireless modes, carrying out weighted summation score according to the weight of each factor, and realizing wireless access network planning by adopting the mode with high score.
The step S1 is specifically implemented as follows:
comparing the attributes considered in the planning process pairwise, and grading according to the importance degree; chromatography will represent the degree of importance in the size of the number; the matrix R ═ rij ] n × n formed by the comparison result is referred to as an attribute preference determination matrix:
where rij represents the importance level of attribute i compared to attribute j, 0< rij <1 and rij 1-rji (i, j 1, 2, …, n).
The step S2 is specifically implemented as follows:
assuming that the elements a1, a2, … and an represent n elements of the criterion layer in the planning process, the attribute preference of the criterion layer determines the relationship between rij and the weighted values w1, w2, … and wn of the elements a1, a2 and … and an, as shown in formula (2):
wherein α ═ (n-1)/2;
assuming that b1, b2, … and bs represent s indexes contained in each criterion layer factor, the preference of the index layer attribute judges the relationship between rij in the proof and the weighted values w1, w2, … and ws of the elements b1, b2, … and bs, as shown in formula (3):
wherein β ═ (s-1)/2;
then, the weight calculation formula of each factor index j for the final result is shown as (4):
the following are specific embodiments of the present invention.
The invention discloses an access mode selection method for wireless access network planning in the field of wireless communication, which is mainly based on an analytic hierarchy process, and the hierarchical structure is shown in figure 1, and the method specifically comprises the following steps:
step 1:
and constructing an attribute preference judgment matrix, and establishing an importance degree relation among factors considered in the planning process.
The attributes considered in the planning process are compared pairwise and ranked according to importance. Chromatography will represent the degree of importance in terms of the size of the numbers. For example, the degree of attention to each attribute is represented by nine importance levels of 0.1 to 0.9, as shown in table 1.
TABLE 1 comparison of importance between attributes
The matrix R ═ rij ] n × n formed by the comparison result is referred to as an attribute preference determination matrix. Where rij represents the importance level of attribute i compared to attribute j, 0< rij <1 and rij 1-rji (i, j 1, 2, …, n). The attribute preference determination matrix is shown in formula (1).
Where rij represents the importance level of attribute i compared to attribute j, 0< rij <1 and rij 1-rji (i, j 1, 2, …, n).
Step 2:
and obtaining the weight of each factor in the planning process from the attribute preference judgment matrix according to a fuzzy analytic hierarchy process weight sorting formula.
Let the elements a1, a2, …, an represent n elements of the criterion layer in the planning process, then the attribute preference of the criterion layer determines that rij in the proof has a certain relationship with the weighted values w1, w2, …, wn of the elements a1, a2, …, an, as shown in formula (2).
Wherein α ═ (n-1)/2;
assuming that b1, b2, … and bs represent s indexes contained in each criterion layer factor, the preference of the index layer attribute judges the relationship between rij in the proof and the weighted values w1, w2, … and ws of the elements b1, b2, … and bs, as shown in formula (3):
wherein β ═ (s-1)/2;
then, the weight calculation formula of each factor index j for the final result is shown as (4):
and step 3:
and obtaining information such as cost, coverage, bearing capacity, terrain and the like of the candidate points of the base station in different wireless systems, carrying out weighted summation score according to the weight of each factor, and adopting a system with high score.
The applicability of the planning method of the invention is demonstrated by using a computer simulation method. Figure 2 is a plot of the coordinate address of selected base stations within the simulation area along with the terrain contour. Fig. 3-8 show the cost, coverage, and carrier factor parameters for the 230MHz and 1800MHz systems, respectively, in the simulation area of the present invention.
As can be seen from the simulation result shown in FIG. 9, the planning method disclosed by the invention can effectively obtain the system selection of the base station in the wireless network planning, and can be accurately suitable for the environment of the network.
The above are preferred embodiments of the present invention, and all changes made according to the technical scheme of the present invention that produce functional effects do not exceed the scope of the technical scheme of the present invention belong to the protection scope of the present invention.
Claims (2)
1. An access mode selection method for wireless access network planning is characterized by comprising the following steps:
s1, constructing an attribute preference judgment matrix, and establishing an importance degree relation among factors considered in the planning process;
s2, obtaining the weight of each factor in the planning process from the attribute preference judgment matrix according to a fuzzy analytic hierarchy process weight sorting formula;
step S3, obtaining information of cost, coverage, bearing capacity and terrain of the candidate points of the base station under different wireless modes, carrying out weighted summation score according to the weight of each factor, and realizing wireless access network planning by adopting the mode with high score;
the step S1 is specifically implemented as follows:
comparing the attributes considered in the planning process pairwise, and grading according to the importance degree; chromatography will represent the degree of importance in the size of the number; the matrix R ═ rij ] n × n formed by the comparison result is referred to as an attribute preference determination matrix:
where rij represents the importance level of attribute i compared to attribute j, 0< rij <1 and rij-1-rji (i, j-1, 2, …, n);
the step S2 is specifically implemented as follows:
assuming that the elements a1, a2, … and an represent n elements of the criterion layer in the planning process, the attribute preference of the criterion layer determines the relationship between rij and the weighted values w1, w2, … and wn of the elements a1, a2 and … and an, as shown in formula (2):
wherein α ═ (n-1)/2;
assuming that b1, b2, … and bs represent s indexes contained in each criterion layer factor, the preference of the index layer attribute judges the relationship between rij in the proof and the weighted values w1, w2, … and ws of the elements b1, b2, … and bs, as shown in formula (3):
wherein β ═ (s-1)/2;
then, the weight calculation formula of each factor index j for the final result is shown as (4):
2. the method as claimed in claim 1, wherein nine importance levels 0.1-0.9 are used to represent the importance of each attribute.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
| CN101951617A (en) * | 2010-08-17 | 2011-01-19 | 工业和信息化部通信计量中心 | Mobile network communication quality evaluation method based on analytic hierarchy process |
| CN106022957A (en) * | 2016-05-18 | 2016-10-12 | 国网福建省电力有限公司 | Power grid coordinated development evaluation method for power system |
| CN106953757A (en) * | 2017-03-20 | 2017-07-14 | 重庆信科设计有限公司 | The method for building up of QoE quantizating index model in a kind of LTE network |
| CN107172626A (en) * | 2017-04-18 | 2017-09-15 | 中国矿业大学 | A kind of CO2The sensing network node positioning and optimizing method in geological storage region |
| CN107734512A (en) * | 2017-09-30 | 2018-02-23 | 南京南瑞集团公司 | A kind of network selecting method based on the analysis of gray scale relevance presenting levelses |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103474991B (en) * | 2013-09-18 | 2015-11-18 | 国电南瑞科技股份有限公司 | Based on the power distribution network global optimization dispatching method of time scale |
-
2018
- 2018-10-31 CN CN201811283918.6A patent/CN109302734B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101572623A (en) * | 2009-04-30 | 2009-11-04 | 上海大学 | Method for comprehensively evaluating network performance based on subjective and objective combination evaluation |
| CN101951617A (en) * | 2010-08-17 | 2011-01-19 | 工业和信息化部通信计量中心 | Mobile network communication quality evaluation method based on analytic hierarchy process |
| CN106022957A (en) * | 2016-05-18 | 2016-10-12 | 国网福建省电力有限公司 | Power grid coordinated development evaluation method for power system |
| CN106953757A (en) * | 2017-03-20 | 2017-07-14 | 重庆信科设计有限公司 | The method for building up of QoE quantizating index model in a kind of LTE network |
| CN107172626A (en) * | 2017-04-18 | 2017-09-15 | 中国矿业大学 | A kind of CO2The sensing network node positioning and optimizing method in geological storage region |
| CN107734512A (en) * | 2017-09-30 | 2018-02-23 | 南京南瑞集团公司 | A kind of network selecting method based on the analysis of gray scale relevance presenting levelses |
Non-Patent Citations (4)
| Title |
|---|
| LTE230与LTE1.8G对比分析;08通信使用;《https://wenku.baidu.com/view/0ceae169d1f34693daef3ec2.html》;20151223;第1-9页，表1 * |
| 基于模糊一致矩阵的模糊层次分析法的排序;吕跃进;《模糊系统与数学》;20020630;第79-84页 * |
| 基于模糊层次分析的电网工程设计评标方法研究;王宁宁;《项目管理技术》;20160510;全文 * |
| 认知无线电网络的基于QoS的自适应频谱分配策略;李翠然;《铁道学报》;20100615;全文 * |
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