CN105898761A - Heterogeneous cellular wireless network programming scheme - Google Patents
Heterogeneous cellular wireless network programming scheme Download PDFInfo
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- CN105898761A CN105898761A CN201410631143.2A CN201410631143A CN105898761A CN 105898761 A CN105898761 A CN 105898761A CN 201410631143 A CN201410631143 A CN 201410631143A CN 105898761 A CN105898761 A CN 105898761A
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Abstract
The invention relates to a network programming scheme and discloses a network programming scheme suitable for heterogeneous cellular wireless network configuration. Historical service flow distribution is used to divide a subarea and a service demanding node model is established. A link gain between different types of candidate base stations and a service demanding node is predicted. Power and bandwidths consumed by the candidate base stations when satisfying the service demanding node are determined. The candidate base stations are selected and the base stations are deployed. The sources are distributed so that load balancing between heterogeneous cellular wireless network base stations is achieved. The invention provides the network programming scheme with low cost, high performance, high precision and a balanced network load.
Description
Technical field
The present invention relates to a kind of network planning scheme, relate to service traffics distribution, load balancing, be applicable to isomery cellular wireless networks
The network planning scheme of network framework.
Background technology
Network planning scheme main target in order to meet current and future cellular wireless service traffic demand, honeycomb system capacity and
Under the conditions of interference restriction and quality of service requirement etc., configure a series of communities with complete with alap cost in coverage
The seamless coverage of paired whole planning region.
For the technical characterstic of every generation cellular radio, network planning scheme all differs.Second filial generation cellular wireless networks
In network, network planning scheme is generally divided into two steps: the first step, pre-according to wireless propagation environment prediction and service traffics distribution statistics
Survey, place from candidate base station and set selects a subclass meet there is a need to business demand node, the candidate base station chosen
Need to meet all predefined all radio job flows, coverage receives the cellular system that signal is sufficiently strong and reaches
Capacity is the highest more good；Second step, distributes different frequency ranges to each community with the interference minimizing between co-frequency cell.The third generation
Cellular radio have employed CDMA technology, so all communities use identical frequency range, therefore without after selecting candidate base station again
Distribution frequency range.Exactly because the most all communities use identical frequency spectrum, each community by directly by the interference effect of neighbor cell,
If the most accurately planned, it is possible to cause interference the biggest between neighbor cell.So, for third generation cellular wireless networks
The feature of network, interference control is one of sixty-four dollar question in the network planning, while carrying out the network planning, take into full account
Power controls the interference between neighbor cell to be controlled under certain interference threshold.
Introducing isomery cellular radio new technique at next generation mobile communication system, its core concept is exactly in macro base station community
Can add multiple low power cell in coverage, these low power cell have less transmitting power, big compared with little physics
Little, one section of frequency spectrum can be used in conjunction with by adding by the way of multiple low transmitting power cell with macro base station community, one can be increased
The community number in individual area, improves the spectrum efficiency of per unit area, increases cellular radio network systems capacity with this.
The introducing of isomery cellular radio brings new general layout to the network planning.The transmitting power bigger due to macro base station and physics
Size, so the geographical position that can install macro base station limits, the macro base station that can install is likely to result in subregion cannot be pacified
The situation that the macro base station of dress covers.Meanwhile, because the shadow fading in radio transmission, exist some geographic areas and macro base station it
Between path loss very big, the signal intensity causing the user in this region to receive is the least, and interruption situation even occurs.
In legacy cellular wireless network, these situations cannot be setup flexibly.Isomery cellular radio can be with low-down cost solution
Certainly the problems referred to above, can cover shadow region and extended coverage range by relaying and femto base station, complete the nothing to whole region
Seam covers.The introducing of low power cell is that the mode of a kind of high-efficiency and economic increases cellular radio network systems capacity, in like manner, full
Under conditions of the cellular radio network systems capacity that foot is certain, introduce low transmitting power cell and can reduce substantial amounts of lower deployment cost, with
Time low power base station size much smaller than macro base station, its laying is more flexible.
Summary of the invention
The invention discloses a kind of isomery cellular radio planning, it is therefore intended that solve one or more above-mentioned in whole or in part
Problem or shortcoming, to provide at least advantages described below:
Compared to legacy cellular wireless network, also contemplating the deployment of low power base station point while planning macro base station, network is advised
Drawing more flexible, network design cost is lower, and planning region network coverage signal is higher, to shadow region and the use of hot spot region
Family provides high-rate wireless service.
Consider the service traffics impact on the network planning, with history service flow distribution as foundation, the cellular radio of deployment
Meeting the seamless access of all users on the basis of may be implemented in the seamless coverage to planning region, the experience sense increasing user is subject to.
Consider the feature of the dissimilar base station of isomery cellular radio, it is achieved the network planning of flexible deployment, reduce upgrading
The complexity of system, realizes the load balancing between community simultaneously.
Field intensity prediction method based on tomography, the link gain between accurate predicting candidate base station and business demand node, with
Link gain weighs the relation between different base station type and business demand node, meets the service environment of actual wireless scene.
Based on approximate data and heuritic approach, select candidate base station location and type, it is ensured that the seamless coverage to planning region,
Ensure the cost control of network design within limits simultaneously.
Accompanying drawing explanation
Read following detailed description in detail in conjunction with accompanying drawing, it can be readily appreciated that spirit of the invention, accompanying drawing have:
Accompanying drawing is the theory diagram of isomery cellular radio programme embodiment.
Detailed description of the invention
Figure of description is the theory diagram of isomery cellular radio programme embodiment.Scheme in the present invention relates to four
Step: 1) build business demand nodal analysis method based on history service data on flows.2) candidate base station is determined according to geodata
Position and parameter.3) link between field intensity prediction method based on tomography prediction business demand node and candidate base station node
Gain, determines the candidate base station of selection.4) based on history service flow distribution, divide base station range and make load of base station equal
Weighing apparatus.
First step of isomery cellular radio programme in the present invention is to build business based on history service data on flows to need
Seek nodal analysis method.Two dimensional Distribution based on history service flow, planning region is some by delaunay triangle division algorithm partition
Sub regions, every sub regions as service traffics distributed areas, its center position as business demand node, according to
History service flow distribution, determines the static state of each business demand node, dynamic service flow size.
Isomery cellular radio programme second step in the present invention according to geodata determine candidate base station position and
Parameter.The position that can dispose base station, geographical position based on candidate base station height and ring is determined based on three-dimensional geographical data analysis
Environment information, determines the type of all candidate base stations.The parameter of candidate base station is preset according to the pre-cellular radio network systems disposed.
The 3rd step of isomery cellular radio programme in the present invention is field intensity prediction method based on tomography prediction
Link gain between business demand node and candidate base station node, determines the candidate base station of selection.The network planning in the present invention
First step of scheme and second step determine the geographical position of business demand node, uninterrupted and candidate base station respectively
Geographical position, base station type, parameter are arranged, and by field intensity prediction method based on tomography, estimate that each business demand saves
Link gain between point and base station.Weigh base station by link gain and cover the power required for business demand node, bandwidth money
Source.Use approximate data and heuritic approach to combine, select candidate base station to meet all business demand nodes and the nothing of planning region
Seam covers.
The 4th step of isomery cellular radio programme in the present invention is based on history service flow distribution, divides base station
Coverage makes load of base station equalize.First step of network planning scheme in the present invention and second step and the 3rd step
Determine the geographical position of the geographical position of business demand node, uninterrupted and candidate base station respectively, base station type, parameter set
Put and determine the base station of deployment.Based on these data, the coverage of each base station passes through near-end algorithm partition.Divide pin respectively
To macro base station and low power base station.Macro base station provides basic cellular radio to cover, and low power base station provides and strengthens blind spot district
Territory signal intensity and help macro base station reduce load.
Above, a kind of service traffics distributions, three-dimensional geographic information, different types of base station are considered according to the invention provides
Isomery cellular radio programme.The scheme that the present invention proposes meets actual isomery cellular radio, network design cost
Lower, planning region coverage rate is more preferable, and planning region network coverage signal is higher, carries the user of shadow region and hot spot region
For high-rate wireless service.
The present invention can be made many amendments and deformation according to description above.Therefore it should be understood that in listed claim
Within the scope of, the present invention can be made practice unlike those described above.
Claims (3)
1. a network planning scheme, applies to isomery cellular radio, builds business demand based on history service data on flows
Nodal analysis method, determines candidate base station geographical position, type, parameter by three-dimensional geodata, it was predicted that business demand node and base
Link gain between standing, selects candidate base station and divides the network planning scheme of base station range, it is characterised in that this net
Network programme includes:
Build business demand nodal analysis method based on history service data on flows, it is characterized in that Two dimensional Distribution based on history service flow,
Planning region is several subregions by delaunay triangle division algorithm partition, uses the center position conduct of every sub regions
Business demand node；
Determine position and the parameter of candidate base station according to geodata, it is characterized in that determining based on three-dimensional geodata and can dispose base station
Position, the type determining candidate base station and parameter；
Candidate base station is selected to provide planning region seamless coverage according to the link gain between business demand node and candidate base station node,
It is characterized in that field intensity prediction method based on tomography, estimate the link gain between each business demand node and base station, logical
Cross link gain and weigh the power required for base station covering business demand node, bandwidth resources, use approximate data and heuristic calculation
The combination of method selects candidate base station with least cost for optimization aim；
Dividing base station range based on history service flow distribution makes load of base station equalize, and it is characterized in that dividing based on history service flow
The base station parameter of cloth and selection divides each base station range and reaches the load balancing between base station.
Network planning scheme the most according to claim 1, it is characterised in that this network planning scheme differentiated service demand nodes
Dynamic service flow demand and static traffic traffic demand.
Network planning scheme the most according to claim 1, it is characterised in that this network planning scheme district respectively to macro base station and
Low power base station divides base station range.
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| CN201410631143.2A CN105898761A (en) | 2014-11-07 | 2014-11-07 | Heterogeneous cellular wireless network programming scheme |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106454850A (en) * | 2016-10-14 | 2017-02-22 | 重庆邮电大学 | Resource distribution method for energy efficiency optimization of honeycomb heterogeneous network |
| CN106792722A (en) * | 2016-12-19 | 2017-05-31 | 北京科技大学 | Heterogeneous hierarchical LTE system fractional frequency reuse method based on intermediary region |
| CN106792764A (en) * | 2017-02-27 | 2017-05-31 | 国网辽宁省电力有限公司 | A kind of distribution terminal communication access net wireless base station planing method |
| CN107171848A (en) * | 2017-05-27 | 2017-09-15 | 华为技术有限公司 | A kind of method for predicting and device |
| CN109600757A (en) * | 2018-11-29 | 2019-04-09 | 南京亚信软件有限公司 | Prediction technique, device, computer equipment and the storage medium of base station dilatation |
| CN112738841A (en) * | 2020-12-28 | 2021-04-30 | 四川天邑康和通信股份有限公司 | SSB wave beam dynamic configuration method in 5G base station and 5G base station |
| CN113207151A (en) * | 2021-07-05 | 2021-08-03 | 中兴通讯股份有限公司 | Data flow control method, system, server and service management node |
| CN114793340A (en) * | 2022-05-19 | 2022-07-26 | 中国银行股份有限公司 | 5G base station site selection method and device |
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| CN106454850A (en) * | 2016-10-14 | 2017-02-22 | 重庆邮电大学 | Resource distribution method for energy efficiency optimization of honeycomb heterogeneous network |
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| CN106792722B (en) * | 2016-12-19 | 2019-09-24 | 北京科技大学 | Heterogeneous hierarchical LTE system fractional frequency reuse method based on intermediary region |
| CN106792722A (en) * | 2016-12-19 | 2017-05-31 | 北京科技大学 | Heterogeneous hierarchical LTE system fractional frequency reuse method based on intermediary region |
| CN106792764A (en) * | 2017-02-27 | 2017-05-31 | 国网辽宁省电力有限公司 | A kind of distribution terminal communication access net wireless base station planing method |
| CN106792764B (en) * | 2017-02-27 | 2020-06-02 | 国网辽宁省电力有限公司 | Wireless base station planning method for power distribution terminal communication access network |
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| CN109600757A (en) * | 2018-11-29 | 2019-04-09 | 南京亚信软件有限公司 | Prediction technique, device, computer equipment and the storage medium of base station dilatation |
| CN109600757B (en) * | 2018-11-29 | 2022-01-18 | 南京亚信软件有限公司 | Prediction method and device for base station capacity expansion, computer equipment and storage medium |
| CN112738841A (en) * | 2020-12-28 | 2021-04-30 | 四川天邑康和通信股份有限公司 | SSB wave beam dynamic configuration method in 5G base station and 5G base station |
| CN113207151A (en) * | 2021-07-05 | 2021-08-03 | 中兴通讯股份有限公司 | Data flow control method, system, server and service management node |
| CN114793340A (en) * | 2022-05-19 | 2022-07-26 | 中国银行股份有限公司 | 5G base station site selection method and device |
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