WO2013159551A1 - Procédé pour la planification d'un réseau basée sur une réservation de la bande passante, et procédé et dispositif d'optimisation correspondants - Google Patents

Procédé pour la planification d'un réseau basée sur une réservation de la bande passante, et procédé et dispositif d'optimisation correspondants Download PDF

Info

Publication number
WO2013159551A1
WO2013159551A1 PCT/CN2012/087258 CN2012087258W WO2013159551A1 WO 2013159551 A1 WO2013159551 A1 WO 2013159551A1 CN 2012087258 W CN2012087258 W CN 2012087258W WO 2013159551 A1 WO2013159551 A1 WO 2013159551A1
Authority
WO
WIPO (PCT)
Prior art keywords
base station
coverage
preset
bandwidth
pixel area
Prior art date
Application number
PCT/CN2012/087258
Other languages
English (en)
Chinese (zh)
Inventor
庄宏成
张洁涛
Original Assignee
华为技术有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Publication of WO2013159551A1 publication Critical patent/WO2013159551A1/fr

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/18—Network planning tools
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/02—Resource partitioning among network components, e.g. reuse partitioning
    • H04W16/10—Dynamic resource partitioning

Definitions

  • the present invention relates to the field of planning and optimization of a communication network, and in particular, to a network planning method, an optimization method and a device based on bandwidth reservation. Background technique
  • the self-organization network proposed in December 2006 hopes to achieve the goal of saving operating costs by automating as much as possible during the planning, deployment, and operation and maintenance phases of the mobile communication network.
  • SON's self-optimization is based on the analysis of the impact of network interference and the optimization goal of network performance. That is, the network element must first understand the network's signal-to-interference-and-noise ratio (SINR) distribution and set optimization goals in order to obtain a reasonable network. Configuration.
  • SINR signal-to-interference-and-noise ratio
  • the technical problem to be solved by the embodiments of the present invention is to provide a network planning method, an optimization method, and a device based on bandwidth reservation, which can accurately complete network planning according to the reserved bandwidth of each base station in the calculated network. And optimization.
  • an embodiment of the present invention provides a network planning method based on bandwidth reservation, including:
  • Calculating the reserved bandwidth of each base station, and the reserved bandwidth of each base station is calculated according to the ratio of the service demand bandwidth of each pixel area covered by the neighbor base station of the base station;
  • the calculated reserved bandwidth is used as the interference impact indicator of the corresponding base station, and the network planning calculation is performed according to the interference impact indicator and the preset planning algorithm and the constraint algorithm, and the planning and deployment of the base station in the network to be planned is completed.
  • the embodiment of the present invention further provides a network optimization method based on bandwidth reservation, which includes: a coverage performance indicator of a statistical network, a capacity performance indicator, and a used bandwidth of each pixel area covered by each base station, where The pixel area is the area divided by the physical coverage area of the network to be planned; the reserved bandwidth of each base station is calculated, and the reserved bandwidth of each base station is the used bandwidth of each pixel area covered by the neighbor base station of the base station according to statistics. Calculated according to proportional equivalence;
  • the coverage performance indicator is compared with a preset coverage performance threshold, and the capacity performance indicator is compared with a preset capacity performance threshold, and an optimization algorithm is selected according to the comparison result;
  • the calculated reserved bandwidth is used as an interference impact indicator of the corresponding base station, and the coverage performance and capacity performance of the network are optimized according to the interference impact indicator and the selected optimization algorithm.
  • the embodiment of the present invention further provides a network planning device based on bandwidth reservation, comprising: a service demand bandwidth calculation module, configured to calculate a service for each pixel area covered by each base station planned in the network to be planned.
  • the required bandwidth where the pixel area is a small area planned for each base station in the network to be planned;
  • a reserved bandwidth calculation module configured to calculate and obtain a reserved bandwidth of each base station, where the reserved bandwidth of each base station is calculated according to a proportional equivalent of the service demand bandwidth of each pixel area covered by the neighboring base station of the base station;
  • the planning processing module is configured to use the calculated reserved bandwidth as the interference impact indicator of the corresponding base station, perform network planning calculation according to the interference impact indicator, the preset planning algorithm and the constraint algorithm, and complete the planning of the base station in the network to be planned. deploy.
  • the embodiment of the present invention further provides a network optimization device based on bandwidth reservation, comprising: a statistics module, configured to measure coverage performance indicators, capacity performance indicators of the network, and services of each pixel area covered by each base station.
  • a statistics module configured to measure coverage performance indicators, capacity performance indicators of the network, and services of each pixel area covered by each base station. The required bandwidth, where the pixel area is an area divided by a physical coverage area of the network to be planned;
  • An optimization calculation module configured to calculate a reserved bandwidth of each base station, and a reserved bandwidth of each base station According to the statistics, the used bandwidth of each pixel area covered by the neighbor base station of the base station is calculated according to the proportional equivalence;
  • a selection module configured to compare the coverage performance indicator with a preset coverage performance threshold, compare the capacity performance indicator with a preset capacity performance threshold, and select an optimization algorithm according to the comparison result; and an optimization processing module, configured to calculate The reserved bandwidth is used as an interference impact indicator of the corresponding base station, and the coverage performance and capacity performance of the network are optimized according to the interference impact indicator and the selected optimization algorithm.
  • the implementation of the invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, can complete the network planning quickly and accurately, improves the accuracy of the planning, and does not need to understand the signal to interference and noise ratio of the network in the network optimization process, and reduces Optimized the complexity of the calculation.
  • FIG. 1 is a schematic structural diagram of a network system according to an embodiment of the present invention.
  • FIG. 2 is a schematic flow chart of a first embodiment of a bandwidth reservation based network planning method according to the present invention
  • FIG. 3 is a schematic flowchart of a second embodiment of a bandwidth reservation based network planning method according to the present invention
  • FIG. 5 is a schematic flowchart of a first embodiment of a bandwidth reservation based network optimization method according to the present invention
  • FIG. 6 is a bandwidth reservation based on the bandwidth reservation method of the present invention
  • FIG. 7 is a schematic flowchart diagram of a third embodiment of a bandwidth reservation based network optimization method according to the present invention
  • FIG. 8 is a network planning apparatus based on bandwidth reservation according to an embodiment of the present invention
  • FIG. 9 is a schematic structural diagram of a network optimization apparatus based on bandwidth reservation according to an embodiment of the present invention.
  • the technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. example. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without creative work are within the scope of the present invention.
  • FIG. 1 is a schematic structural diagram of a network system according to an embodiment of the present invention, where the network system architecture includes A plurality of macro base stations eNB, such as eNB1 in FIG. 1, a plurality of home base stations HeNB, such as HeNB2 in FIG. 1, and a network coordinator eCoordinator3.
  • the network coordinator eCoordinator3 may be a functional module set in a certain base station (semi-distributed system), or may be a separate physical device (centralized) connected to each base station.
  • the corresponding reserved bandwidth is calculated and calculated.
  • the reserved bandwidth is used as the interference impact indicator of the corresponding base station, and the network planning calculation is performed according to the interference impact indicator and the preset planning algorithm and the constraint algorithm thereof, and the planned deployment of the macro base station eNB and the home base station HeNB in the network to be planned is completed.
  • the planning calculation includes parameters such as configuration parameters of each base station, deployment location, transmission power of the eNB, antenna downtilt, and transmission power of the HeNB.
  • the network coordinator eCoordinator3 can be used to count the network performance related parameters of each cell reported by the macro base station eNB and the home base station HeNB in the network system, such as coverage performance indicators, capacity performance indicators, and calculations obtained by each base station.
  • the use bandwidth and reserved bandwidth and neighbor information, etc. then cluster the cell and set the reservation factor parameters of the network element in the cluster and notify each base station, and determine whether to trigger the optimization calculation; when determining the trigger for optimization calculation
  • the network coordinator eCoordinator3 selects a corresponding optimization algorithm from among various optimization algorithms preset therein to calculate the coverage performance and capacity performance of the network.
  • the network system of the invention can complete the network planning quickly and accurately, and improves the accuracy of the planning. In the network optimization process, it is not necessary to understand the signal to interference and noise ratio of the network, and the complexity of the optimization calculation is reduced.
  • FIG. 2 is a schematic flowchart of a first embodiment of a bandwidth reservation-based network planning method according to the present invention
  • an embodiment of the present invention simulates a reserved bandwidth of a base station in a network to be planned to simulate the interference impact of the base station.
  • the specific steps of the method include:
  • S101 Obtain a service requirement bandwidth of each pixel area covered by each base station in the network to be planned, where the pixel area is an area that is divided in a physical coverage area of the network to be planned, and when planning the network, The corresponding home base station and the macro base station need to be deployed to cover these areas, so that after the network planning is completed, users in the pixel areas can communicate with the corresponding home base station and the macro base station, and the pixel area can be artificially divided by 50 meters.
  • the base station in the network to be planned includes multiple macro base stations eNB and multiple home base stations HeNB, and calculating the service demand bandwidth of each pixel area covered by each base station can be calculated by corresponding spectrum efficiency.
  • the specific calculation formula can be:
  • the c and c can be calculated according to specific configuration parameters of the network to be planned and signal path loss information corresponding to the network coverage area to be planned, which is a prior art.
  • each base station can also be directly configured according to requirements during planning, without calculating according to spectrum efficiency.
  • S102 Calculate the reserved bandwidth of each base station, and the reserved bandwidth of each base station is calculated according to the ratio of the service demand bandwidth of each pixel area covered by the neighboring base station of the base station.
  • the reserved bandwidth is defined as the bandwidth reserved by each base station for quantifying the equivalent occupancy of the possible interference of the neighbor base station. In this way, the bandwidth that the base station can use is equal to the allocated system bandwidth of the base station minus the reserved bandwidth.
  • the reserved bandwidth of each base station may also be calculated according to the spectrum efficiency of the base station and its neighbor base stations, the service demand bandwidth, and the preset reserved bandwidth calculation formula.
  • the specific formula may be as follows:
  • the calculation formula of the reserved bandwidth of the home base station / is:
  • F is a set of preset home base stations
  • ⁇ is a set of pixel areas, which is a preset reservation factor of the home base station/, and is a spectrum efficiency of the home base station/covered sub-pixel area, for the home base station/
  • the spectral efficiency of the neighboring home base station/covering the pixel area under the coverage, f is the service demand bandwidth of the neighboring home base station/the coverage pixel area of the home base station/;
  • the calculation may be based on the specific configuration parameters of the network to be planned and the signal path loss information corresponding to the network coverage area to be planned, and the calculation is a prior art, and details are not described herein.
  • the calculation can be calculated by using the service demand bandwidth calculation formula in the above S101.
  • the reserved bandwidth b ' ITF of the macro base station s is calculated as:
  • S is a set of preset macro base stations
  • ⁇ is a set of pixel regions
  • 7 ⁇ is a set of preset home base stations/covered pixel regions
  • ⁇ For the preset reservation factor of the macro base station s
  • c is the spectral efficiency of the pixel area covered by the macro base station s
  • the spectral efficiency of the pixel area t for the neighbor macro base station of the macro base station s is 3 ⁇ 4 for the macro base station
  • the neighbor macro base station of s covers the service demand bandwidth of the pixel area
  • ⁇ is the link spectrum efficiency of the macro base station S to the home base station/within coverage thereof
  • b f Fc ' 1TF is the coverage of the macro base station s
  • e is the maximum spectrum efficiency supported by the system
  • b F is the service required bandwidth of the home base station/underlying pixel area in the coverage of the macro
  • the above-mentioned reservation factors P FC and ⁇ ⁇ can be set as needed, and the main function thereof is to make the reserved bandwidth calculated by the calculation and the bandwidth used by the base station to cancel the interference in the actual application can be matched.
  • the c , e, and e F can be calculated according to the specific configuration parameters of the network to be planned and the signal path loss information corresponding to the network coverage area to be planned.
  • the ⁇ can also pass the specific configuration parameters of the network to be planned and the network to be planned.
  • the signal path loss information corresponding to the medium macro base station and the home station is calculated, and the calculation process thereof is all prior art, and will not be described herein.
  • 3 ⁇ 4 ⁇ is the network system parameters to be planned, and is set according to the specific system.
  • the c can be calculated by using the service demand bandwidth calculation formula in the above S101.
  • the corresponding equivalence ratio is calculated according to the spectrum efficiency of the base station and the neighboring base station. In other embodiments, the corresponding equivalence ratio may be calculated according to the distance between the base station and the neighboring base station, and the base station needs to be reserved. Reserved bandwidth.
  • the calculated reserved bandwidth is used as an interference impact indicator of the corresponding base station, and the network planning calculation is performed according to the interference impact indicator and the preset planning algorithm and the constraint algorithm, and the planned deployment of the base station in the network to be planned is completed.
  • the embodiment of the present invention provides the following methods for network planning calculation, and completes planning and deployment of the base station in the network to be planned.
  • the basic cost for the covered user to be covered is the priority of the planned pixel area ⁇
  • c is the coverage indication set for the pixel area covered by the macro base station s in the network to be planned, which is a preset user.
  • the basic cost of transmitting the unit bit information, Ci is the cost of planning the deployment of the macro base station s, and is the deployment indication of the macro base station s, that is, if the station is stationed at a certain candidate base station, the value is 1, otherwise it is 0, and the value is According to the final plan.
  • the Pt , X trp is the deployment indication of the macro base station s, that is, if the station is stationed at a certain candidate base station, the value is 1, otherwise it is 0, and the value is According to the final plan.
  • Ci are given by the operator according to the need; according to the base station configuration parameter and the signal path loss information, it can be calculated whether a certain pixel area is covered, so that the value of the c can be determined. Its value is 1 when overwritten, otherwise it has a value of 0.
  • Pt indicates the benefit obtained by providing coverage to the user operator; indicating that the service provided by the user (transmission bit) is received by the operator.
  • Benefits, ⁇ c A indicates the cost to deploy the corresponding base station operator in the network.
  • the constraint algorithm for the above planning algorithm may include:
  • 7 is a set of pixel regions covered by the macro base station s; 7 ⁇ a set of home base stations/covered pixel regions; A collection of macro base stations of a zone; a set of home base stations serving a pixel area t.
  • the second constraint indicates that one pixel area is only covered by at most one eNB.
  • the third constraint indicates that the pixel area covered by the HeNB is necessarily covered by the eNB.
  • the fourth constraint indicates the bandwidth that the HeNB needs to use to meet the traffic rate requirements.
  • the sixth constraint indicates that the sum of the bandwidths used and reserved by one HeNB is limited by the bandwidth allocated by the system to the HeNB.
  • the seventh constraint indicates the bandwidth that the eNB needs to use in order to satisfy the remaining rate requirements after being served by the HeNB.
  • the eighth constraint indicates that the eNB uses the bandwidth constraint to not exceed the bandwidth S c that the system gives to the eNB.
  • the ninth constraint indicates that the rate obtained by each pixel must satisfy the minimum rate.
  • the eleventh constraint is a constraint that needs to be used to avoid anomalies when solving an optimization algorithm. For an eNB that is not deployed, ie, 0, the bandwidth used by the eNB is considered to be a very large value when optimizing. endless).
  • the embodiment of the present invention mainly proposes a new calculation formula of reserved bandwidth, and a new planning algorithm and a constraint algorithm.
  • the corresponding parameters in the formulas involved in the S101 ⁇ S103 can be used according to the specific service requirements of the network.
  • the service distribution and demand of the area and the signal path loss information are directly configured or calculated, and the configuration or calculation of each parameter is prior art.
  • the implementation of the invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, and can complete the network planning quickly and accurately, and improve the accuracy of the planning.
  • FIG. 3 it is a schematic flowchart of a second embodiment of a bandwidth reservation-based network planning method according to the present invention.
  • the method specifically includes:
  • S201 Obtain a service requirement bandwidth of each pixel area covered by each base station in the network to be planned, where the pixel area is an area divided by a physical coverage area of the network to be planned, such as an artificially divided 50 m ⁇ 50 m size. region.
  • the S201 may specifically include: Calculating the spectral efficiency of each pixel region covered by each base station;
  • the bandwidth required for each pixel area covered by each base station is calculated and obtained.
  • S202 Calculating a reserved bandwidth of each base station, where the reserved bandwidth of each base station is calculated according to a proportional equivalent of the service demand bandwidth of each pixel area covered by the neighboring base station of the base station;
  • the calculation formula of the reserved bandwidth of the home base station/, the calculation formula of the reserved bandwidth of the macro base station S can be calculated by using the calculation formula in the first embodiment described above.
  • S203 Calculate the network coverage to be planned by using a preset planning algorithm according to the coverage indication, the capacity indication and the cost of each base station in the network to be planned, and the calculated service required bandwidth of each pixel area covered by each base station.
  • the revenue obtained by the operator and the revenue obtained by the operator when the user provides the service and the network cost; the specific calculation formula of the preset planning algorithm can be calculated by using the calculation formula in the first embodiment.
  • the coverage indication and the capacity indication of each of the base stations can be obtained according to the signal path loss information, and the cost is given by the budget.
  • S204 Perform constraint calculation by using a preset constraint algorithm, where the constraint algorithm includes a service requirement bandwidth for each pixel area covered by each base station and a constraint condition of reserved bandwidth of each base station; a constraint algorithm for the foregoing planning algorithm It may be the same as the constraint algorithm in the first embodiment described above.
  • S205 Obtain an optimized number, a deployment location, and a planned network base station according to the constraint calculation result and the calculated revenue obtained by the operator when the network to be planned covers the user, the benefit obtained by the operator when providing the service for the user, and the deployment cost. Configuration parameters for each base station.
  • the planning algorithm is optimized, and the planning algorithm is constrained according to the foregoing constraint conditions, so as to obtain the optimal number of the network base station to be planned, the deployment location, and the configuration parameters of each base station, and complete the planned deployment of the network to be planned.
  • the base station may be clustered, so that the network can be optimized according to the clustering in the operation phase after the network planning and deployment is completed. That is, during the optimization process, the interference between the base stations is analyzed, and when the reserved bandwidth of the base station is calculated, only each cluster is analyzed. The interference between the internal base stations does not have to consider the reserved bandwidth of the neighboring base stations outside the clustering to reduce the computational complexity.
  • FIG. 4 is a schematic flowchart of an embodiment of performing base station clustering according to the calculated reserved bandwidth, where the base station clustering step specifically includes:
  • the reserved bandwidth b IF of some macro base stations s or the reserved bandwidth b F ' 1TF of the home base station exceeds the threshold 6, it indicates that the base station has strong interference, and the corresponding base stations are classified into one cluster, and the entire network is All the base stations are divided into different clusters according to the criterion. For base stations that are not in the same cluster, the mutual interference is negligible. Therefore, when calculating the reserved bandwidth of a certain base station in the subsequent optimization process, only the base station is calculated. The bandwidth usage of other base stations in the clustering, thus greatly reducing the amount of calculation. Further, base stations within the same cluster can also be divided into inner and outer zones.
  • S302 Compare the number of neighbor base stations of each base station in each cluster obtained after the clustering with a preset number threshold, and mark the number of neighbor base stations in each cluster that are greater than the number threshold as an inner area. a base station, marking other base stations in each cluster as an outer base station;
  • Inner - cells ⁇ (s,f) : N c > N thr , N f Fc > N thr ⁇ ;
  • the number N of neighbor base stations in the cluster is greater than a preset threshold N, or for a home base station in the cluster, the number of neighbor base stations in the cluster N f
  • the macro cell s or the home base station/ is marked as the inner zone, otherwise it is marked as the outer zone.
  • the inner and outer zones are marked to facilitate setting different values of the reservation factors for different marked base stations, so that the calculated values are more accurate when the reserved bandwidth is optimized.
  • S303 Reset a reservation factor of the base station in each cluster, and set different reservation factors for the inner area base station and the outer area base station.
  • the corresponding parameters of all formulas can be planned according to the specific service requirements of the network.
  • the service distribution and requirements of each pixel area, as well as the signal path loss information are directly configured or calculated, and the configuration or calculation of each parameter is prior art.
  • the implementation of the present invention simulates the impact of the interference of the base station by calculating the reserved bandwidth, and can complete the network planning quickly and accurately, and obtain the optimized number of the base station to be planned, the deployment location, and the configuration parameters of each base station, thereby improving the accuracy of the planning. degree.
  • the base station in the network is clustered based on the reserved bandwidth, and when the network is optimized, semi-distributed optimization can be implemented, and only the reserved bandwidth of the base station in the cluster is calculated according to the bandwidth usage of the base station in the cluster. , further reducing the computational complexity.
  • FIG. 5 it is a schematic flowchart of the first embodiment of the network optimization method based on the bandwidth reservation of the present invention.
  • the method in this embodiment specifically includes:
  • S401 a coverage performance indicator of the statistical network, a capacity performance indicator, and a used bandwidth of each pixel area covered by each base station; wherein the coverage performance indicator is expressed as a K COV and a capacity performance indicator expressed as
  • S402 Calculating a reserved bandwidth of each base station, where the reserved bandwidth of each base station is calculated according to a statistically obtained equivalent bandwidth of each pixel area covered by the neighboring base station of the base station; The bandwidth of the base station reserved for each base station to quantify the equivalent interference of the possible interference of the neighbor base station. In this way, the bandwidth that the base station can use is equal to the allocated system bandwidth of the base station minus the reserved bandwidth.
  • the reserved bandwidth of each base station may also be calculated according to the spectrum efficiency of the base station and its neighbor base stations, the service demand bandwidth, and the preset reserved bandwidth calculation formula.
  • the specific formula may be as follows:
  • the calculation formula of the reserved bandwidth of the home base station / is:
  • F is a set of preset home base stations
  • ⁇ is a set of pixel areas, which is a preset reservation factor of the home base station/, and is a spectrum efficiency of the home base station/covered sub-pixel area, for the home base station/
  • f is the used bandwidth of the neighboring home base station/'the underlying pixel area of the home base station/
  • the data can be directly obtained by the base station, or obtained according to statistics
  • the service distribution and demand of the base station and the signal path loss information are directly calculated.
  • the calculation formula of the reserved bandwidth of the macro base station s is:
  • S is a set of configuration parameters of the preset macro base station
  • ⁇ is a set of pixel regions
  • 7 ⁇ is a set of pixel areas covered by the home base station, and is a set of home base stations covered by the macro base station s
  • ⁇ is preset the macro base station reservation s factor
  • c-pixel regions covering the spectral efficiency for the macro base station in s
  • c the pixel region covering the spectral efficiency for the neighbor macro base station t s macro base station
  • the neighboring macro base station covers the used bandwidth of the pixel area
  • e sf is the link spectrum efficiency of the macro base station s to the home base station/within coverage thereof
  • c is the home base station within the coverage of the macro base station s / reserved bandwidth
  • ⁇ is the maximum spectrum efficiency supported by the system
  • c is the used bandwidth of the neighboring home base station/covered sub-pixel area of the macro base station s
  • the above-mentioned reservation factors P FC and ⁇ ⁇ can be set as needed or set at the time of network planning, and the main function thereof is to make the reserved bandwidth calculated by the calculation and the base station in the actual application need to reserve for offset.
  • the interference bandwidth can be matched, where c , , e sr c can be directly obtained by the base station, or calculated according to the statistically obtained service distribution and demand of each base station and signal path loss information.
  • 3 ⁇ 4 ⁇ is the network system parameter, which is set according to the specific system.
  • the pixel area is an area of 50 m ⁇ 50 m and the like which are artificially divided under the network area to be optimized, and the corresponding home base station and the macro base station of the network to be optimized cover the pixel areas to ensure the pixel areas.
  • the user in the middle can communicate with the corresponding home base station and macro base station.
  • the corresponding equivalence ratio is calculated according to the spectrum efficiency of the base station and the neighboring base station. In other embodiments, the corresponding equivalence ratio may be calculated according to the distance between the base station and the neighboring base station, and the base station needs to be reserved. Reserved bandwidth.
  • S403 Compare the coverage performance indicator with a preset coverage performance threshold, compare the capacity performance indicator with a preset capacity performance threshold, and select an optimization algorithm according to the comparison result;
  • the optimization algorithm is preset according to specific coverage performance indicators and capacity performance indicators, and the optimization algorithm includes: a joint optimization algorithm, which simultaneously optimizes network coverage performance and capacity performance, and first type capacity constraint coverage optimization algorithm. It optimizes the coverage performance, the first type of coverage constraint capacity optimization, and optimizes the capacity performance, the second type of capacity constraint coverage optimization algorithm, which optimizes the coverage performance, the second type of coverage constraint capacity optimization, and its capacity performance. optimize.
  • the calculated reserved bandwidth is used as an interference impact indicator of the corresponding base station, according to the The disturbance impact indicator and the selected optimization algorithm are calculated to optimize the coverage performance and capacity performance of the network. Specifically, it includes optimization of relevant parameters of coverage performance and capacity performance of each base station in the network.
  • the existing optimization method can be used to optimize the coverage performance and capacity performance parameters of each base station in the network by using the reserved bandwidth as the interference impact indicator.
  • the corresponding parameters in the calculation formula of the reserved bandwidth proposed by the embodiment of the present invention can be directly configured or calculated according to the service distribution and demand obtained by the actual statistics and the signal path loss information, and the configuration or calculation of each parameter is prior art. .
  • the implementation of the present invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, so that the signal to interference and noise ratio of each link in the network is not required to be calculated in the network optimization process, and the complexity of the optimization calculation is reduced.
  • FIG. 6 is a schematic flowchart of a second embodiment of a bandwidth reservation-based network optimization method according to the present invention.
  • base stations in a network to be optimized are pre-divided into different clusters (may be When the network is planned, the partitioning is completed.
  • the neighboring base stations of the involved base stations are in the same cluster as the base station, and the base stations in each cluster are based on the number of neighboring base stations. It is marked as an inner zone base station and an outer zone base station, and the inner zone base station and the outer zone base station are respectively provided with different reservation factors for calculating the reserved bandwidth.
  • the method of this embodiment specifically includes:
  • S501 coverage performance indicator of the statistical network, capacity performance indicator, and usage bandwidth of each pixel area covered by each base station; coverage performance indicators expressed as K COV and capacity performance indicators expressed as K CAP .
  • S502 Calculate a reserved bandwidth of each base station, where the reserved bandwidth of each base station is calculated according to a statistically equivalent ratio of the used bandwidth of each pixel area covered by the neighboring base station of the base station.
  • the specific calculation formula of the reserved bandwidth of each base station includes:
  • the calculation formula of the reserved bandwidth of the home base station/, the calculation formula of the reserved bandwidth of the macro base station S can be calculated by optimizing the reserved bandwidth calculation formula in the first embodiment described above.
  • S503 Update, according to the calculated reserved bandwidth of each base station and a preset reservation threshold, a cluster that is divided into base stations in the network.
  • Cluster ⁇ (s,f ): b c ' TIF > b , b f Fc ' 1TF > b ⁇ ;
  • the reserved bandwidth b 1F of some macro base stations s or the reserved bandwidth b F TF of the home base station exceeds the threshold ⁇ , it indicates that the base station is still subject to strong interference, otherwise, it indicates that the base station is actually The interference received by the station is small, so that such a base station can be deleted from the cluster.
  • the reserved bandwidth of a certain base station in the subsequent optimization process, only the other base stations in the cluster where the base station is located are calculated. Bandwidth usage, which greatly reduces the amount of computation. Further, base stations within the same cluster can also be divided into inner and outer zones.
  • S504 Compare the number of neighboring base stations of each base station in the updated cluster with a preset number threshold, and mark the number of neighboring base stations in each cluster that is greater than the number threshold as an inner zone base station. Marking other base stations in each cluster as outer base stations;
  • S505 Reset the reservation factor of the base station in each cluster, and set different reservation factors for the inner zone base station and the outer zone base station.
  • the specific step of resetting the reservation factor of the base station in each cluster includes: determining whether to reset the reservation factor of the base station in each cluster, which is specifically determined according to the following formula:
  • the judgment result is yes, otherwise, the judgment result is no, wherein 6: 'the dish is the actual use bandwidth obtained by statistics, and the dish is statistically obtained.
  • the actual reserved bandwidth, ⁇ ' ⁇ is the theoretical bandwidth used for the calculation, and ' ⁇ is the theoretical reserved bandwidth calculated based on the current reservation factor.
  • the reservation factor of the base station in each cluster is reset, and different reservation factors are set for the inner area base station and the outer area base station.
  • the following S506 and S507 are based on the updated clustering unit, and the optimization calculation is completed according to the updated reservation factor.
  • S506 Compare the coverage performance indicator with a preset coverage performance threshold, compare the capacity performance indicator with a preset capacity performance threshold, and select an optimization algorithm according to the comparison result;
  • the coverage performance indicator threshold and the capacity performance indicator threshold are pre-configured by the operator.
  • the threshold includes three levels, including: a good threshold, an alert threshold, and an alarm threshold.
  • the specific value can be as shown in 1:
  • the coverage performance index and the capacity performance indicator obtained by the current monitoring are compared with the coverage performance indicators obtained by the previous monitoring. Whether the capacity performance indicator drops below the preset drop threshold;
  • the preset joint optimization algorithm is selected to perform optimization calculation to obtain optimized configuration parameters of each base station;
  • the formula of the joint optimization algorithm includes: t ⁇ eT" ⁇ "genus;
  • 7 is a set of pixel regions covered by the preset macro base station s
  • 7 ⁇ is a set of preset home base stations/covered pixel areas
  • the weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; ; ⁇ is the priority of the preset pixel area
  • 2 is the coverage indication of the pixel area covered by the macro base station s, when the monitored pixel is obtained When the received signal strength of the region t is greater than the specified threshold, the pixel region is called to be covered, and the corresponding coverage indication is 1; otherwise, the value is 0
  • : is the preset pixel region of the local cell
  • c The spectrum efficiency of the pixel area t covered by the macro base station s for monitoring and monitoring
  • b is the bandwidth of the pixel area of the macro base station s
  • the preset first type capacity constraint coverage optimization algorithm is selected to perform optimization calculation to obtain optimization of each base station.
  • the formula of the capacity constraint coverage optimization algorithm includes:
  • 7 is a set of pixel areas covered by the preset macro base station s; 7 ⁇ is a set of preset home base stations/covered pixel areas; a set of macro base stations which are preset service pixel areas; The set of home base stations serving the pixel area t; L c is the weight of the preset coverage performance indicator; 4 is the weight of the preset capacity performance indicator; ; ⁇ is the priority of the preset pixel area; For the macro base station s to cover the coverage indication of the pixel area, when the received signal strength of the monitored pixel area t is greater than a specified threshold, the pixel area is called to be covered, and the corresponding coverage indication is 1; otherwise, the value is is 0;: is a set of pixels according to a preset region of the cell; C to monitor the macro base station to obtain statistical s covered spectral efficiency pixel area t; b.
  • the preset first type of coverage constraint capacity optimization algorithm is selected
  • the formula of the coverage constraint capacity optimization algorithm includes:
  • 7 is a preset set of pixel regions covered by the macro base station s; 7 ⁇ is a set of preset home base stations/covered pixel regions; a set of macro base stations that are preset service pixel regions t; a preset set of home base stations in the service pixel area t; ⁇ a weight of a preset coverage performance indicator; A CAP is a weight of a preset capacity performance indicator; ; ⁇ is a priority of a preset pixel area; For the macro base station s to cover the coverage indication of the pixel area, when the received signal strength of the monitored pixel area t is greater than a specified threshold, the pixel area is called to be covered, and the corresponding coverage indication is 1; otherwise, the value is 0 is: the number of pixel regions of the preset local cell; C is the spectral efficiency of the pixel area covered by the statistical macro base station S; b C is the bandwidth of the pixel area covered by the macro base station S obtained by statistics; The obtained home base station f covers the
  • 77/ is the preset coverage performance alert threshold; A C is the coverage correction factor; Pre-set business rate requirements.
  • the preset second type capacity constraint coverage optimization algorithm is selected
  • the formula of the capacity constraint coverage optimization algorithm includes: teT"
  • 7 is a preset set of pixel areas covered by the macro base station; 7 ⁇ is a set of pixel areas covered by the preset home base station; a set of macro base stations which are preset service pixel areas t; The set of home base stations serving the pixel area t; 4 is the weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; ; ⁇ is the priority of the preset pixel area; ⁇ is the coverage of the macro base station s
  • the coverage of the lower pixel area indicates that when the received signal strength of the monitored pixel area t is greater than a specified threshold, the pixel area is referred to as being covered, and the corresponding coverage indication is 1; otherwise, the value is 0; Preset the set of pixel regions of the local cell; c is the spectral efficiency of the pixel area t covered by the macro base station s obtained by monitoring statistics; 3 ⁇ 4 is the bandwidth of the pixel area covered by the macro base station S obtained by monitoring statistics; C is obtained by monitoring statistics The spectral efficiency
  • the capacity performance index of the network is smaller than the capacity performance threshold, that is, the network capacity performance is in an alert state, the second type of coverage constraint capacity optimization algorithm is selected;
  • the formula of the algorithm includes:
  • 7 is a set of pixel regions covered by the macro base station; 7 ⁇ is a set of pixel regions covered by the preset home base station; a set of macro base stations for the preset service pixel region t; Set the set of home base stations in the service pixel area t; 4 ⁇ is the weight of the preset coverage performance indicator; is the weight of the preset capacity performance indicator; ; ⁇ is the priority of the preset pixel area; ⁇ is the macro base station s cover the next image
  • the coverage indication of the prime region indicates that when the received signal strength of the monitored pixel region t is greater than a specified threshold, the pixel region is referred to as being covered, and the corresponding coverage indication is 1; otherwise, the value is 0; Pre-set the number of pixel areas of the local cell; C is the spectral efficiency of the pixel area covered by the macro base station S obtained by monitoring statistics; 3 ⁇ 4 is the bandwidth of the pixel area covered by the macro base station S obtained by monitoring statistics; C is obtained by monitoring statistics The spectrum efficiency of the
  • a C coverage correction factor and ⁇ ⁇ capacity correction factor may be directly configured, or calculated according to the following formula:
  • a CAP K c ° b p /K ⁇ ;
  • the coverage performance indicators obtained by the actual monitoring of the base station are predicted coverage performance indicators, ⁇ is the capacity performance index obtained by the actual monitoring of the base station, and J/ is the predicted capacity performance index.
  • the calculated reserved bandwidth is used as an interference impact indicator of the corresponding base station, and the coverage performance and capacity performance of the network are optimized according to the interference impact indicator and the selected optimization algorithm.
  • the corresponding parameters of all formulas can be directly configured or calculated according to the actual distribution of the service distribution and demand and the signal path loss information, and the configuration of each parameter. Or the calculations are all prior art.
  • the implementation of the present invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, so that it is not necessary to understand the signal to interference and noise ratio of the network in the network optimization process, and the complexity of the optimization calculation is reduced.
  • the base station in the network is clustered based on the reserved bandwidth, and semi-distributed optimization is implemented, that is, only the reserved bandwidth of the base station in the cluster is calculated according to the bandwidth usage of the base station in the cluster to finally complete the network optimization, and further The computational complexity is reduced and the overhead of signaling is also reduced.
  • FIG. 7 is a schematic flowchart of a third embodiment of a bandwidth reservation-based network optimization method according to the present invention.
  • the method in this embodiment specifically includes: S601: The coverage performance indicator of the statistical network, the capacity performance indicator, and the usage bandwidth of each pixel area covered by each base station.
  • S602 Calculate the reserved bandwidth of each base station, and the reserved bandwidth of each base station is calculated according to the statistically obtained equivalent bandwidth of each pixel area covered by the neighboring base station of the base station.
  • S603 Determine whether c > rH e c , cp > rH ⁇ is established; wherein, the above. ⁇ is a coverage performance indicator, the 77 is a good threshold in the coverage performance threshold, the ⁇ is a capacity performance indicator, and the 7H is a good threshold in the capacity performance threshold.
  • S605 When the determination in S603 is NO, it is further determined whether c ⁇ 7Hy C is established; wherein, the TH C is an alert threshold in the coverage performance threshold.
  • the weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; A is the priority of the preset pixel area;
  • the formula of the first type of capacity constraint coverage optimization algorithm can be regarded as the formula of the joint optimization algorithm in S604, where the value of L c is 1, and the value is 0, and the value of « is 0, the value of « is minirH ⁇ ⁇ ; ⁇ J .
  • S607 When the determination in S605 is negative, further determine whether ⁇ ⁇ is established; wherein, the ⁇ is an alert threshold in the capacity performance threshold.
  • 7 is a set of pixel regions covered by the macro base station; 7 ⁇ is a set of pixel regions covered by the home base station; a set of macro base stations serving the pixel region t; a set of home base stations serving the pixel region t; The weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; A is the pre- The priority of the pixel area is set; C is the coverage indication of the pixel area covered by the macro base station S.
  • the pixel area When the received signal strength of the monitored pixel area t is greater than a specified threshold, the pixel area is covered, and the corresponding coverage is The value of the indication is 1, otherwise it is 0; r is the number of pixel areas of the cell; e is the spectral efficiency of the pixel area covered by the macro base station s; 3 ⁇ 4 is the bandwidth of the pixel area of the macro base station s; c is Spectrum efficiency of the pixel area under the home base station/coverage; c is the bandwidth of the pixel area under the home base station/coverage; m is the coverage performance alert threshold in the coverage performance threshold of the preset coverage performance indicator; is the coverage correction factor; Under s is the pixel area ⁇ preset business rate demand.
  • the formula of the first type of coverage constraint capacity optimization algorithm can be regarded as the formula of the joint optimization algorithm in S604.
  • the value of L c is 0, and the value is 1, and the value of « is Min(7H F cw -A C0 ;l)-r, the value of « is 0
  • S610 When the determination result of S609 is YES, selecting to perform a second type of capacity constraint coverage optimization algorithm, where the formula of the second type capacity constraint coverage optimization algorithm includes: teT"
  • the weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; A is the priority of the preset pixel area;
  • c is the bandwidth of the pixel area under the home base station/coverage
  • TH Y CAP is the preset capacity performance alert threshold
  • the formula of the second type of capacity constraint coverage optimization algorithm can be regarded as the formula of the joint optimization algorithm in S604, where the value of L c is 1, and the value is 0, and the value of « is The value of 0, the value ⁇ ⁇ ; ⁇ 2.
  • S611 When the determination result of S609 is NO, it is further determined whether ⁇ ⁇ 7 is established; wherein, the 77 ⁇ is a threshold value of good capacity performance.
  • the weight of the preset coverage performance indicator; the weight of the preset capacity performance indicator; A is the priority of the preset pixel area;
  • the formula of the second type of coverage constraint capacity optimization algorithm can actually be regarded as the formula of the joint optimization algorithm in S604, where the value of L c is 0, and the value is 1, and the value of « is The value of mm(TH G cov -A cov ;l)-r, is 0.
  • the coverage performance optimization priority is higher in this embodiment.
  • the implementation of the invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, so that it is not necessary to understand the signal to interference and noise ratio of the network in the network optimization process, and the complexity of the optimization calculation is reduced.
  • the base station in the network is clustered based on the reserved bandwidth, and semi-distributed optimization is implemented, that is, only the reserved bandwidth of the base station in the cluster is calculated according to the bandwidth usage of the base station in the cluster to finally complete the network optimization, and further The computational complexity is reduced and the overhead of signaling is also reduced.
  • the bandwidth reservation-based network planning apparatus of the present invention will be described in detail below.
  • FIG. 8 is a schematic structural diagram of a bandwidth planning-based network planning apparatus according to an embodiment of the present invention.
  • the apparatus in the embodiment of the present invention simulates interference of a base station by determining a reserved bandwidth of a base station in a network to be planned.
  • the impact, specifically, the device includes:
  • the service requirement bandwidth calculation module 11 is configured to calculate a service requirement bandwidth of each pixel area covered by each base station in the network to be planned, where the pixel area is an area defined in a physical coverage area of the network to be planned; In the pixel area, when planning the network, the corresponding home base station and the macro base station need to be deployed to cover these areas, so that after the network planning is completed, users in the pixel areas can communicate with the corresponding home base station and the macro base station, and the pixel area is used. It can be divided into areas of 50 meters x 50 meters, etc., which are artificially divided.
  • the reserved bandwidth calculation module 12 is configured to calculate the reserved bandwidth of each base station, and the reserved bandwidth of each base station is calculated according to the ratio of the service demand bandwidth of each pixel area covered by the neighboring base station of the base station;
  • the planning processing module 13 is configured to use the calculated reserved bandwidth as an interference impact indicator of the corresponding base station, perform network planning calculation according to the interference impact indicator and the preset planning algorithm and the constraint algorithm, and complete the base station in the network to be planned. Planning for deployment.
  • the base station in the network to be planned includes a plurality of macro base stations eNB and a plurality of home base stations HeNB.
  • the calculation of the service requirement bandwidth of each pixel area covered by each base station can be calculated by using the corresponding spectrum efficiency, and the specific calculation formula can be:
  • ⁇ is the service rate requirement for the pixel area planned by the macro base station s
  • c is the coverage of the macro base station s
  • the spectral efficiency of each pixel area covered by each base station can be calculated according to the specific parameter requirements of the network and the network path loss model, which is a prior art.
  • each base station can also be directly configured according to requirements during planning, without calculating according to spectrum efficiency.
  • the service requirement bandwidth calculation module 11 may further include: a first calculating unit in, configured to calculate a spectral efficiency of each pixel area covered by each base station; a second calculating unit 112, configured to calculate a service requirement and a calculated spectrum according to each pixel area covered by each base station Efficiency, calculate the bandwidth required for each pixel area covered by each base station.
  • the reserved bandwidth calculated in the reserved bandwidth calculation module 12 is defined as the bandwidth of the base station that is reserved by each base station and used to quantify the interference that may be occupied by the neighbor base station. In this way, the bandwidth that the base station can use is equal to the system bandwidth of the base station minus the reserved bandwidth.
  • the reserved bandwidth of each base station may be calculated according to the spectrum efficiency of the base station and its neighboring base stations, the service required bandwidth, and the preset reserved bandwidth calculation formula.
  • the calculation formula of the reserved bandwidth of the corresponding type of base station in this embodiment may be The calculation formula in the above embodiment of the planning method is calculated, and will not be described here.
  • the corresponding equivalence ratio is calculated according to the spectrum efficiency of the base station and the neighboring base station. In other embodiments, the corresponding equivalence ratio may be calculated according to the distance between the base station and the neighboring base station, and the base station needs to be reserved. Reserved bandwidth.
  • the cylinder is described as maximizing the following formula:
  • ⁇ is the priority of the planned pixel area
  • c is the coverage indication set for the pixel area covered by the macro base station s in the network to be planned, which is preset
  • Ci is the cost of planning to deploy the macro base station s, and is the deployment indication of the macro base station s, that is, if the station is stationed at a certain candidate base station, the value is 1; otherwise, it is 0.
  • Pt , t, X trp . Ci are given by the operator according to needs, and the z can be directly calculated according to the signal path loss information.
  • a sat ⁇ p t indicates the revenue obtained by the operator when providing coverage users
  • p ⁇ ⁇ + ⁇ e F bf indicates the revenue obtained by the operator when providing services (transmission bits) to the user
  • ⁇ ⁇ indicates The cost of the corresponding base station in the deployed network
  • 7 is a set of pixel regions covered by the macro base station s; 7 ⁇ a set of home base stations/covered pixel regions; a set of macro base stations serving the pixel regions; and a home base station serving the pixel regions t set.
  • the second constraint indicates that one pixel area is only covered by at most one eNB.
  • the third constraint indicates that the pixel area covered by the HeNB is necessarily covered by the eNB.
  • the fourth constraint indicates the bandwidth that the HeNB needs to use to meet the traffic rate requirements.
  • the sixth constraint indicates that the sum of the bandwidths used and reserved by one HeNB is limited by the bandwidth allocated by the system to the HeNB.
  • the seventh constraint indicates the bandwidth that the eNB needs to use in order to satisfy the remaining rate requirements after being served by the HeNB.
  • the eighth constraint indicates that the eNB uses the bandwidth constraint to not exceed the bandwidth S c that the system gives to the eNB.
  • the eleventh constraint is a constraint that needs to be used to avoid anomalies when solving an optimization algorithm. For an eNB that is not deployed, ie, 0, the bandwidth used by the eNB is considered to be
  • the description of the planning algorithm and its constraint algorithm may also be followed. Design other specific formulas.
  • the embodiment of the present invention mainly proposes a new calculation formula of reserved bandwidth, and a new planning algorithm and a constraint algorithm, wherein the corresponding parameters in the formula can be distributed according to the specific service requirements of the network to the planned pixel regions.
  • the requirements and signal path loss information are directly configured or calculated, and the configuration or calculation of each parameter is prior art.
  • planning processing module 13 may specifically include:
  • the cost calculation unit 131 is configured to adopt a preset plan according to the coverage indication, the capacity indication and the cost planned for each base station in the to-be-planned network, and the calculated service requirement bandwidth of each pixel area covered by each base station.
  • the algorithm calculates the revenue obtained by the operator when the network to be planned is covered by the operator and the revenue obtained by the operator when the service is provided to the user, and the network cost;
  • the constraint calculation unit 132 is configured to perform constraint calculation by using a preset constraint algorithm, where the constraint algorithm includes a constraint on a service required bandwidth of each pixel area and a reserved bandwidth of each base station for each base station;
  • the processing sub-unit 133 is configured to obtain an optimized number of network base stations to be planned, a deployment location, and configuration parameters of each base station according to the calculation result of the constraint calculation unit 132 and the calculation result of the fee calculation unit 131.
  • the network planning device based on the bandwidth reservation may further include:
  • the clustering module 14 is configured to divide the base stations whose reserved bandwidth is greater than the preset reserved threshold into a cluster according to the reserved bandwidth of each base station.
  • the planning setting module 15 is configured to compare the number of neighboring base stations of each base station in each cluster obtained after the clustering with a preset number threshold, and the number of neighboring base stations in each cluster is greater than the threshold of the number.
  • the base station is marked as an inner zone base station, and other base stations in each cluster are marked as outer zone base stations, and different reservation factors are set for the inner zone base station and the outer zone base station.
  • the clustering module 14 may be specifically clustered according to the following expression:
  • Cluster ⁇ (s,f): b c ' TIF > b , b f Fc ' 1TF > b ⁇
  • the reserved bandwidth b IF of some macro base stations s or the reserved bandwidth b F TF of the home base station exceeds the threshold 6, it indicates that the base station has strong interference, and the corresponding base stations are classified into one cluster, all of the entire network.
  • the base station is divided into different clusters according to the criterion. For base stations that are not in the same cluster, the mutual interference is negligible. Therefore, when calculating the reserved bandwidth of a certain base station in the subsequent optimization process, only the base station is calculated. Bandwidth usage of other base stations in the cluster, thus greatly reducing the amount of calculation.
  • the macro cell s or the home base station / is marked as an inner zone, otherwise it is marked as an outer zone.
  • the inner and outer zones are marked to facilitate setting different values of the reservation factors for different marked base stations, so that the calculated values are more accurate when the reserved bandwidth is optimized.
  • the implementation of the present invention simulates the impact of the interference of the base station by calculating the reserved bandwidth, and can complete the network planning quickly and accurately, and obtain the optimized number of the base station to be planned, the deployment location, and the configuration parameters of each base station, thereby improving the accuracy of the planning. degree.
  • the base station in the network is clustered based on the reserved bandwidth, and the semi-distributed optimization can be implemented when the network is optimized, that is, the reservation of the base station in the cluster is calculated only according to the bandwidth usage of the base station in the cluster. Bandwidth to finally complete network optimization, further reducing the computational complexity.
  • FIG. 9 is a schematic structural diagram of a network optimization apparatus based on bandwidth reservation according to an embodiment of the present invention.
  • base stations in a network to be optimized are pre-divided into different clusters (which may be planned in the network).
  • the reserved bandwidth of each base station is calculated, the neighbor base stations of the involved base stations are in the same cluster as the base station, and the base stations in each cluster are marked according to the number of neighbor base stations thereof.
  • the inner zone base station and the outer zone base station, the inner zone base station and the outer zone base station are respectively provided with different reservation factors for calculating the reserved bandwidth.
  • the bandwidth reservation-based network optimization apparatus in this embodiment may be built in a network coordinator eCoordinator in an Element Management System (EMS).
  • EMS Element Management System
  • the network optimization device based on bandwidth reservation includes:
  • the statistic module 21 is configured to use a coverage performance indicator of the statistic network, a capacity performance indicator, and a service requirement bandwidth of each pixel area covered by each base station, where the pixel area is an area divided in a physical coverage area of the network to be planned;
  • the pixel area is an area of 50 m ⁇ 50 m and the like which are artificially divided under the network area to be optimized, and the corresponding home base station and the macro base station in the network to be optimized cover the pixel areas to ensure in the pixel areas.
  • the user can communicate with the corresponding home base station and macro base station.
  • the coverage performance indicator is expressed as.
  • the capacity performance indicator is expressed as K cov .
  • Specific can include Three levels of thresholds: good threshold, alert threshold, and alarm threshold, which can be as shown in Table 1 in the above method embodiment:
  • the optimization calculation module 22 is configured to calculate a reserved bandwidth of each base station, and the reserved bandwidth of each base station is calculated according to the statistically obtained bandwidth of each pixel area covered by the neighboring base station of the base station according to a proportional equivalent;
  • the reserved bandwidth is defined as the bandwidth of the local base station reserved by each base station for quantifying the interference occupied by the neighbor base station. In this way, the bandwidth that the base station can use is equal to the system bandwidth of the base station minus the reserved bandwidth.
  • the reserved bandwidth of each base station can also be calculated according to the spectrum efficiency of the base station and its neighboring base stations, the service required bandwidth, and the preset reserved bandwidth calculation formula.
  • the reserved bandwidth calculation formula of the corresponding type of base station in this embodiment can be The calculation formula in the above optimization method is calculated, and will not be described here.
  • the corresponding equivalence ratio is calculated according to the spectrum efficiency of the base station and the neighboring base station. In other embodiments, the corresponding equivalence ratio may be calculated according to the distance between the base station and the neighboring base station, and the base station needs to be reserved. Reserved bandwidth.
  • the selecting module 23 is configured to compare the coverage performance indicator with a preset coverage performance threshold, compare the capacity performance indicator with a preset capacity performance threshold, and select an optimization algorithm according to the comparison result; the optimization algorithm is based on specific coverage Performance indicators and capacity performance indicators are preset.
  • the optimization algorithms include: a joint optimization algorithm, which simultaneously optimizes network coverage performance and capacity performance, and a first type of capacity constraint coverage optimization algorithm, which optimizes coverage performance, A type of coverage constraint capacity optimization, which optimizes capacity performance, and a second type of capacity constraint coverage optimization algorithm, which optimizes coverage performance and second type coverage constraint capacity optimization, and optimizes capacity performance.
  • the corresponding optimization calculation formula includes the optimization calculation formula mentioned in the above embodiment of the optimization method.
  • the selection module 23 determines the coverage performance of the current monitoring when the coverage performance index is greater than the coverage performance good threshold in the preset coverage performance threshold, and the capacity performance index is greater than the capacity performance threshold in the preset capacity performance threshold. Whether the indicator and capacity performance indicators have decreased from the previous monitoring exceed the preset falling threshold;
  • the preset joint optimization algorithm is selected to perform optimization calculation to obtain optimized configuration parameters of each base station.
  • the selection selection module 23 selects a preset capacity constraint coverage optimization algorithm to perform optimization calculation for each base station. Optimize configuration parameters.
  • the selection module 23 selects a preset first type of capacity constraint coverage optimization when the coverage performance indicator is smaller than the coverage performance alarm threshold in the preset coverage performance threshold, that is, the network coverage performance is in the alarm state. algorithm.
  • the capacity performance indicator of the selection module 23 is smaller than the capacity performance alarm threshold in the capacity performance threshold, that is, when the network capacity performance is in an alarm state, the preset first type of coverage constraint capacity optimization algorithm is selected.
  • the coverage condition is less than the coverage performance threshold, and the coverage performance warning threshold is greater than or equal to the coverage performance threshold, that is, when the network coverage performance is in the alert state.
  • the selection module 23 is a capacity performance warning threshold in the capacity performance indicator of the network that is less than a preset capacity performance threshold, and is greater than or equal to a capacity performance alert threshold in the capacity performance threshold, that is, network capacity.
  • a capacity performance warning threshold in the capacity performance indicator of the network that is less than a preset capacity performance threshold, and is greater than or equal to a capacity performance alert threshold in the capacity performance threshold, that is, network capacity.
  • the optimization processing module 24 is configured to use the calculated reserved bandwidth as the interference impact indicator of the corresponding base station, and calculate the coverage performance and capacity performance of the network according to the interference impact indicator and the selected optimization algorithm.
  • the bandwidth reservation-based network optimization apparatus of the present invention may further include: a clustering update module 25, configured to calculate, according to the calculated reserved bandwidth of each base station in the cluster, and a preset reservation threshold, Updating clusters divided into base stations in the network;
  • the optimization setting module 26 is configured to compare the number of neighbor base stations of each base station in each cluster after updating with a preset number threshold, and set the number of neighbor base stations in each cluster to be larger than the number threshold. For the inner base station, the other base stations in each cluster are marked as outer base stations, and different reservation factors are set for the inner base station and the outer base station.
  • the optimization setting module 26 sets the updated reservation factor of the base station in each cluster to first determine whether to reset the reservation factor of the base station in each cluster, which is specifically determined according to the following formula:
  • iM L (p NE + b NE ) - ⁇ b NE + b NE ) ,
  • the judgment result is yes, otherwise, the judgment result is no, wherein 6: 'the dish is the actual use bandwidth obtained by statistics, 3 ⁇ 4 ⁇ ' The actual reserved bandwidth, ⁇ ' ⁇ is the theoretical bandwidth used for the calculation, ⁇ ' ⁇ is based on the current reservation The theoretical reserved bandwidth calculated by the factor.
  • the optimization setting module 26 further sets a reservation factor for the base station in each cluster, and sets different reservation factors for the inner area base station and the outer area base station.
  • the bandwidth reservation-based network optimization apparatus of the present invention may further include: a preset module 27, configured to preset the optimization algorithm for selection by the selection module 23, the optimization algorithm comprising: a joint optimization algorithm, A class of capacity constraint coverage optimization algorithm, the first type of coverage constraint capacity optimization, the second type of capacity constraint coverage optimization algorithm, and the second type of coverage constraint capacity optimization.
  • the preset various optimization algorithms are the same as the specific formulas of the various optimization algorithms in the above method embodiments.
  • the implementation of the present invention simulates the influence of the interference of the base station by calculating the reserved bandwidth, so that it is not necessary to understand the signal to interference and noise ratio of the network in the network optimization process, and the complexity of the optimization calculation is reduced.
  • the base station in the network is clustered based on the reserved bandwidth, and semi-distributed optimization is implemented, that is, only the reserved bandwidth of the base station in the cluster is calculated according to the bandwidth usage of the base station in the cluster to finally complete the network optimization, and further The computational complexity is reduced and the overhead of signaling is also reduced.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention se rapporte à un procédé adapté pour planifier un réseau sur la base d'une réservation de la bande passante. L'invention se rapporte d'autre part à un procédé et à un dispositif d'optimisation correspondants. Le procédé adapté pour planifier un réseau sur la base d'une réservation de la bande passante, selon l'invention, consiste : à obtenir une bande passante exigée pour un service, de chaque région de pixel couverte par chaque station de base dans un réseau devant être planifié, la région de pixel étant une petite région qui est planifiée pour chaque station de base au sein du réseau devant être planifié ; à calculer une bande passante réservée de chaque station de base, la bande passante réservée de chaque station de base étant obtenue via l'exécution d'un calcul équivalent proportionnel, sur la base de la bande passante exigée pour un service de chaque région de pixel couverte par une station de base voisine de la station de base ; en utilisant la bande passante réservée calculée en tant qu'un indice d'influence de brouillage de la station de base correspondante, à exécuter un calcul de planification de réseau sur la base de l'indice d'influence de brouillage ainsi que sur la base d'un algorithme de planification prédéfini et d'un algorithme de contrainte correspondant, de sorte à accomplir un déploiement planifié de la station de base au sein du réseau devant être planifié. Dans la présente invention, la planification et l'optimisation d'un réseau peuvent être accomplies de façon très précise, en calculant l'influence du brouillage analogique de la bande passante réservée.
PCT/CN2012/087258 2012-04-27 2012-12-24 Procédé pour la planification d'un réseau basée sur une réservation de la bande passante, et procédé et dispositif d'optimisation correspondants WO2013159551A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201210128421.3A CN103379507B (zh) 2012-04-27 2012-04-27 一种基于带宽预留的网络规划方法、优化方法以及装置
CN201210128421.3 2012-04-27

Publications (1)

Publication Number Publication Date
WO2013159551A1 true WO2013159551A1 (fr) 2013-10-31

Family

ID=49463960

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2012/087258 WO2013159551A1 (fr) 2012-04-27 2012-12-24 Procédé pour la planification d'un réseau basée sur une réservation de la bande passante, et procédé et dispositif d'optimisation correspondants

Country Status (2)

Country Link
CN (1) CN103379507B (fr)
WO (1) WO2013159551A1 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115379466A (zh) * 2022-10-25 2022-11-22 国网信息通信产业集团有限公司 一种部署无线接入节点的规划计算方法、系统及电子设备

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105139227B (zh) * 2015-08-20 2018-06-26 上海华为技术有限公司 一种数据计算方法及装置
CN114071569B (zh) * 2021-11-04 2023-06-16 中国联合网络通信集团有限公司 一种数据传输方法、装置和电子设备
CN114071525B (zh) * 2021-11-10 2023-07-18 中国联合网络通信集团有限公司 基站优化次序确定方法、装置及存储介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101940019A (zh) * 2008-02-08 2011-01-05 三菱电机株式会社 在包括一组小区的蜂窝网络中根据射频频谱分配带宽的方法
US20110151886A1 (en) * 2009-12-21 2011-06-23 Cisco Technology, Inc. System and method for providing resource management in a network environment
CN102196477A (zh) * 2011-05-27 2011-09-21 华中科技大学 适合高速车载环境的无线网络优化方法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101940019A (zh) * 2008-02-08 2011-01-05 三菱电机株式会社 在包括一组小区的蜂窝网络中根据射频频谱分配带宽的方法
US20110151886A1 (en) * 2009-12-21 2011-06-23 Cisco Technology, Inc. System and method for providing resource management in a network environment
CN102196477A (zh) * 2011-05-27 2011-09-21 华中科技大学 适合高速车载环境的无线网络优化方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115379466A (zh) * 2022-10-25 2022-11-22 国网信息通信产业集团有限公司 一种部署无线接入节点的规划计算方法、系统及电子设备
CN115379466B (zh) * 2022-10-25 2023-02-03 国网信息通信产业集团有限公司 一种部署无线接入节点的规划计算方法、系统及电子设备

Also Published As

Publication number Publication date
CN103379507A (zh) 2013-10-30
CN103379507B (zh) 2015-11-25

Similar Documents

Publication Publication Date Title
EP2337395B1 (fr) Procédé d'équilibrage de charge de cellule, dispositif d'équilibrage de charge de cellule, système d'équilibrage de charge de cellule et support lisible par ordinateur
CN102577467B (zh) 用于基站组中的负载均衡的基站、方法和计算机程序产品
US9179363B2 (en) Systems and methods for determining a coupling characteristic in a radio communications network
EP2741535B1 (fr) Procédé pour orienter le placement de nouvelles petites cellules
CN111314940A (zh) 一种针对5g nsa组网模式下的无线网络部署方法
CN107864478B (zh) 数据驱动的推出规划优化方法
WO2013179095A1 (fr) Coexistence de réseau lte exploité dans une bande sans licence
CN103987087B (zh) 一种移动负载均衡方法及装置
US11729631B2 (en) System and method of automatic outdoor small cell planning
US10966099B2 (en) Computing wireless deployment in an area
CN102547898A (zh) 一种非封闭模式下femtocell的切换优化方法
Hu et al. Realistic indoor wi-fi and femto deployment study as the offloading solution to lte macro networks
WO2018226538A1 (fr) Systèmes et procédés de sélection et d'ajustement dynamiques de seuils de détection d'énergie (edt) dans des nœuds radio non coordonnés déployant un accès multiple avec écoute de porteuse pour améliorer le débit sur un spectre partagé
WO2013159551A1 (fr) Procédé pour la planification d'un réseau basée sur une réservation de la bande passante, et procédé et dispositif d'optimisation correspondants
US20130122884A1 (en) Control apparatus, communication system and control method
US9661570B2 (en) Network node and a method therein for controlling uplink power control
CN105357759B (zh) 一种小基站集中配置资源的方法、设备和系统
CN107005850B (zh) 重新配置频谱使用的方法、基站和蜂窝通信网络
CN103781110A (zh) 一种小区对偏移量的调整方法及基站、系统
JP5939948B2 (ja) 屋内基地局、無線通信システムおよび無線通信システムの制御方法
JP6413487B2 (ja) 通信制御装置、無線基地局、通信制御方法、及びプログラム
CN105517060B (zh) 一种无定形网络覆盖的频谱分配方法
CN116981027A (zh) 基站控制方法、网络设备、基站及存储介质
KR101430389B1 (ko) 펨토셀의 주파수 대역 선택 방법 및 매크로셀 기지국 및 펨토셀 기지국이 공유 부대역을 사용하는 통신시스템

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 12875639

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 12875639

Country of ref document: EP

Kind code of ref document: A1