CN104581741A - Network coverage optimization method - Google Patents
Network coverage optimization method Download PDFInfo
- Publication number
- CN104581741A CN104581741A CN201310509454.7A CN201310509454A CN104581741A CN 104581741 A CN104581741 A CN 104581741A CN 201310509454 A CN201310509454 A CN 201310509454A CN 104581741 A CN104581741 A CN 104581741A
- Authority
- CN
- China
- Prior art keywords
- coverage
- cell
- antenna
- parameter
- community
- Prior art date
- Legal status (The legal status 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 status listed.)
- Granted
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
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The application discloses a network coverage optimization method. The network coverage optimization method comprises the following steps: performing initialization on a coverage antenna feeder parameter of each cell in a planned region; for each cell, calculating coverage area of the cell when preset coverage performance parameters in the cell achieve preset target values if the current coverage antenna feeder parameter configuration of the cell is adopted, wherein the coverage performance parameters comprise a reference signal receiving power target value and a signal to interference and noise ratio (SINR) of a reference signal; sequencing all the cells according to the sequence from small coverage area to large coverage area; sequentially performing optimization and adjustment on the coverage antenna feeder parameter of each cell by adopting a particle swarm optimization method according to the sequencing result till the region coverage rate of the planned region achieves a preset regional coverage rate threshold. According to the method disclosed by the invention, the complexity in coverage optimization can be reduced, and the optimization efficiency and the optimization accuracy can be improved.
Description
Technical field
The present invention relates to mobile communication technology, particularly relate to a kind of network coverage optimization method.
Background technology
Along with the development of mobile communication technology, propose higher demand, namely require to reach in global range seamless coverage to the covering, capacity, time delay etc. of mobile communications network, support high speed data transfer, user face, chain of command time delay are shorter.As can be seen here, covering problem is that mobile communications network needs one of major issue solved, especially in wireless network deployment initial stage and later stage.The many factors such as the covering of mobile communications network and antenna-feed parameter, system configuration, electromagnetic interference, topography and geomorphology, weather environment are relevant, and consider that impact covers the uncertainty of many factors, the application mainly analyzes the impact covered antenna-feed parameter.At present, mobile communications network generally adopts sectorized antennas, because site, antenna are hung high, antenna gain etc. and generally determined at the wireless network deployment initial stage, therefore these factors are not also in limit of consideration, then the antenna-feed parameter principal element affecting covering comprises azimuth, angle of declination, transmitting power.The coverage optimization of mobile communications network mainly for the optimization of antenna azimuth, angle of declination, transmitting power, the definition of each parameter and as follows on the impact of covering performance:
1, antenna azimuth refers to from the north pointer direction of antenna, according to the horizontal sextant angle between clockwise direction to antenna main lobe direction.Adjustment antenna azimuth can reduce or increase overlapping coverage areas, accurately covers, and increases and needs overlay area received signal strength etc.
2, aerial mechanical angle of declination refers to the angle between antenna place horizontal plane and antenna plate face vertical line.Adjustment aerial mechanical angle of declination can increase or reduce coverage, increases overlay area received signal strength, avoids area covered, dead zone-eliminating etc.
3, the RF signal power that exports from antenna rf end of antenna transmission power, does not comprise antenna gain.Adjustment antenna transmission power can increase or reduce coverage, increases overlay area received signal strength, avoids area covered etc.
The mode of carrying out network coverage optimization at present has two kinds.One is rule of thumb repeatedly adjusted covering relevant parameter by tester, and the method is not only lost time and human resources, and effect not necessarily reaches best.Another kind utilizes genetic algorithm to be optimized covering relevant parameter, to reach the object of coverage optimization, this kind of prioritization scheme crossing-over rate and the isoparametric selection of aberration rate can have a strong impact on solution quality, and the feedback information of network can not be utilized in time, search speed is slow, algorithm realization complexity is higher, differs and finds globally optimal solution surely, and practical application effect is not good.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of network coverage optimization method, and the method can reduce the complexity of coverage optimization, improves optimization efficiency and optimizes accuracy.
In order to achieve the above object, the technical scheme that the present invention proposes is:
A kind of network coverage optimization method, comprising:
A, for planning Nei Ge community, region covering antenna-feed parameter carry out initialization;
B, for each described community, if calculate the covering antenna-feed parameter configuration adopting this community current, preset area coverage when covering performance parameter reaches predetermined target value in community, described covering performance parameter comprises Reference Signal Received Power desired value and reference signal Signal to Interference plus Noise Ratio (SINR); The order ascending according to the described area coverage of each community sorts to all communities;
C, according to described ranking results, adopt particle group optimizing method, successively adjustment is optimized to the described covering antenna-feed parameter of described community, until the areal coverage in described planning region reaches default areal coverage threshold value.
In sum, the network coverage optimization method that the present invention proposes, utilizes particle swarm optimization algorithm, is optimized, can reduces the complexity of coverage optimization, and improve optimization efficiency and optimize accuracy the relevant antenna-feed parameter of covering.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the embodiment of the present invention one.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, the present invention is described in further detail below in conjunction with the accompanying drawings and the specific embodiments.
Core concept of the present invention is: utilize particle swarm optimization algorithm, is optimized, can reduces the complexity of coverage optimization, and improve optimization efficiency and optimize accuracy the relevant antenna-feed parameter of covering.
Fig. 1 is the schematic flow sheet of the embodiment of the present invention one, and as shown in Figure 1, this embodiment mainly comprises:
Step 101, for planning Nei Ge community, region covering antenna-feed parameter carry out initialization.
Preferably, described covering antenna-feed parameter can comprise antenna azimuth, Downtilt and cell transmit power.Be not limited to above-mentioned parameter in actual applications, other antenna-feed parameters can also be increased according to actual needs further.
Step 102, for each described community, if calculate the covering antenna-feed parameter configuration adopting this community current, preset area coverage when covering performance parameter reaches predetermined target value in community, described covering performance parameter comprises Reference Signal Received Power desired value and reference signal Signal to Interference plus Noise Ratio (SINR); The order ascending according to the described area coverage of each community sorts to all communities.
This step meets the area coverage of target performance requirement for calculating initialization Shi Ge community, and then according to area coverage, sorted in these communities, after this can carry out covering optimizing and revising of antenna-feed parameter to each community successively according to the order that this area coverage is ascending, the efficiency of optimization so can be improved.
Step 103, according to described ranking results, adopt particle group optimizing method, successively adjustment is optimized to the described covering antenna-feed parameter of described community, until the areal coverage in described planning region reaches default areal coverage threshold value.
In this step; according to described ranking results; by adopting particle group optimizing method; carry out optimizing and revising of each MPS process antenna-feed parameter; can guarantee to obtain the covering antenna-feed parameter making the areal coverage in planning region reach desired value on the one hand; the efficiency optimized and revised can be improved on the other hand, reduce the complexity of coverage optimization.
Preferably, step 103 can be realized by following step:
Step 1031, judge whether the percentage of territory, the area coverage sum occupied area gross area of all communities in current described planning region reaches predeterminable area coverage rate threshold value, if so, then terminates described network coverage optimization method.
If when in this step, in current planning region, the area coverage sum of all communities meets certain target, illustrate that the covering antenna-feed parameter of current each community can meet default covering demand, do not need to be optimized again, therefore network coverage optimization method can be terminated, otherwise, need to perform following step and carry out corresponding Optimization Steps.
Step 1032, according to k=k+1, upgrade current update times parameter k, the initial value of k is 0; If described k is greater than default number of times accumulation threshold, then terminate described network coverage optimization method.
In this step, consider the processing delay requirement of system, be provided with number of times accumulation threshold, when update times acquires a certain degree, need to force to terminate network coverage optimization method.
Step 1033, result according to described sequence, perform the parameter optimization adjustment process of kth time to described community; Perform step 1031.
In this step, need the ranking results according to determining in step 102, the optimization selecting a community once to cover antenna-feed parameter successively upgrades, until the areal coverage in described planning region reaches default areal coverage threshold value.Particularly, the parameter optimization adjustment process secondary by kth is realized this purpose, and this process comprises the following steps:
Step x1, result according to described sequence, select one and currently do not selected and come the cell i of foremost from described community.
Here it should be noted that, describedly currently not selected to refer to non-selected community in the parameter optimization adjustment process of kth time.
Step x2, for cell i, according to V
i(k)=V
i(k-1)+c
1× r
1× (P
il-X
i(k-1))+c
2× r
2× (P
ig-X
i) and X (k-1)
i(k)=X
i(k-1)+V
ik (), the described covering antenna-feed parameter current to this cell i upgrades.
Wherein, X
i(k)=(x
ia(k), x
it(k), x
ip(k))
t, x
ia(k), x
it(k) and x
ipk antenna azimuth, Downtilt and cell transmit power that () obtains after being respectively the covering antenna-feed parameter kth time renewal of cell i.As k=1, described X
i(k-1)=X
i(0)=(x
ia(0), x
it(0), x
ip(0))
t, x
ia(0), x
itand x (0)
ip(0) antenna azimuth, Downtilt and the cell transmit power during covering antenna-feed parameter initialization of cell i is respectively.
V
i(k)=(v
ia(k), v
it(k), v
ip(k))
t; v
ia(k), v
it(k) and v
ipthe adjustment amount of antenna azimuth, Downtilt and cell transmit power when () represents that the covering antenna-feed parameter kth time of cell i upgrades respectively k.V
ia(0), v
itand v (0)
ip(0) value is 0.
Described c
1and c
2for the constant preset, preferably, its span is [0,4].Specifically by those skilled in the art, appropriate value can be set according to actual needs.
Described r
1and r
2for the uniform random number in [0,1] scope.
Described P
ilcovering antenna-feed parameter vector value corresponding when the area coverage of cell i is maximum before representing the covering antenna-feed parameter kth time renewal of cell i.
P
igthe covering antenna-feed parameter vector value of cell i corresponding when the area coverage of its all adjacent area is maximum before representing the covering antenna-feed parameter kth time renewal of cell i.
()
trepresent transposed matrix.
In step x2, according to V
i(k)=V
i(k-1)+c
1× r
1× (P
il-X
i(k-1))+c
2× r
2× (P
ig-X
i) and X (k-1)
i(k)=X
i(k-1)+V
ik (), upgrades covering antenna-feed parameter, takes into full account that the adjacent area of Liao Yi community is correlated particle, can reduce the complexity of particle cluster algorithm, improve optimized algorithm efficiency.
Described P
iland P
igthese area coverages covered involved by antenna-feed parameter vector are area coverage when covering performance parameter reaches described desired value.
In the above-mentioned renewal process to cell i covering antenna-feed parameter, by introducing P
igonly consider using the area coverage of the adjacent area with cell i direct neighbor as the area coverage of its neighborhood, and the non-adjacent area around community is foreclosed, scope involved when each MPS process antenna-feed parameter is upgraded is less, thus can obtain higher coverage optimization efficiency.
Step x3, for cell i, if calculate the covering antenna-feed parameter configuration after adopting the current kth in this community time to upgrade, the described covering performance parameter of community reaches area coverage during described desired value, and the covering antenna-feed parameter configuration current according to each adjacent area, this community, the described covering performance parameter calculating all adjacent areas, this community reaches area coverage during described desired value.
This step, during for calculating kth secondary covering antenna-feed parameter renewal, the area coverage that the current covering antenna-feed parameter of cell i can reach, and the area coverage sum that the current covering antenna-feed parameter in its all adjacent area can reach, when upper once (i.e. kth+1 time) covers antenna-feed parameter renewal, the history maximum P of the area coverage of this community can be utilized
ilwith the history maximum P of the area coverage of all adjacent areas of this community
ig, carry out corresponding parameter renewal.
Step x4, judge whether the percentage of territory, the area coverage sum occupied area gross area of all communities in current described planning region reaches predeterminable area coverage rate threshold value, if so, then terminates described network coverage optimization method; Otherwise, perform step x5.
In this step, in the parameter optimization adjustment process that kth is secondary, if You Yige community upgrades by covering antenna-feed parameter, can realize: in planning region, the percentage of territory, the area coverage sum occupied area gross area of all communities reaches predeterminable area coverage rate threshold value, illustrate that the covering antenna-feed parameter of current each community can meet default covering demand, do not need to be optimized again, therefore network coverage optimization method can be terminated, otherwise, need to perform following step and proceed to cover antenna-feed parameter renewal.
Step x5, judge whether current all described communities are selected all, if so, terminate described parameter optimization adjustment process, otherwise, perform step x1.
This step for realize kth time parameter optimization adjustment process in the traversal that upgrades of each MPS process antenna-feed parameter, if all upgrade complete, then reenter step 1031, to trigger the parameter renewal process of kth+1 time.
In sum, these are only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (3)
1. a network coverage optimization method, is characterized in that, comprising:
A, for planning Nei Ge community, region covering antenna-feed parameter carry out initialization;
B, for each described community, if calculate the covering antenna-feed parameter configuration adopting this community current, preset area coverage when covering performance parameter reaches predetermined target value in community, described covering performance parameter comprises Reference Signal Received Power desired value and reference signal Signal to Interference plus Noise Ratio SINR; The order ascending according to the described area coverage of each community sorts to all communities;
C, according to described ranking results, adopt particle group optimizing method, successively adjustment is optimized to the described covering antenna-feed parameter of described community, until the areal coverage in described planning region reaches default areal coverage threshold value.
2. method according to claim 1, is characterized in that, described covering antenna-feed parameter comprises antenna azimuth, Downtilt and cell transmit power.
3. method according to claim 2, is characterized in that, described step c comprises:
C1, judge whether the percentage of territory, the area coverage sum occupied area gross area of all communities in current described planning region reaches predeterminable area coverage rate threshold value, if so, then terminates described network coverage optimization method;
C2, according to k=k+1, upgrade current update times parameter k, the initial value of k is 0; If described k is greater than default number of times accumulation threshold, then terminate described network coverage optimization method;
C3, result according to described sequence, perform the parameter optimization adjustment process of kth time to described community; Perform step c1;
Described parameter optimization adjustment process comprises:
X1, result according to described sequence, select one and currently do not selected and come the cell i of foremost from described community;
X2, for cell i, according to V
i(k)=V
i(k-1)+c
1× r
1× (P
il-X
i(k-1))+c
2× r
2× (P
ig-X
i) and X (k-1)
i(k)=X
i(k-1)+V
i(k), the described covering antenna-feed parameter current to this cell i upgrades;
Wherein, X
i(k)=(x
ia(k), x
it(k), x
ip(k))
t, x
ia(k), x
it(k) and x
ipk antenna azimuth, Downtilt and cell transmit power that () obtains after being respectively the covering antenna-feed parameter kth time renewal of cell i; V
i(k)=(v
ia(k), v
it(k), v
ip(k))
t; v
ia(k), v
it(k) and v
ipthe adjustment amount of antenna azimuth, Downtilt and cell transmit power when () represents that the covering antenna-feed parameter kth time of cell i upgrades respectively k; c
1and c
2for the constant that the span preset is [0,4]; r
1and r
2for the uniform random number in [0,1] scope; P
ilcovering antenna-feed parameter vector value corresponding when the area coverage of cell i is maximum before representing the covering antenna-feed parameter kth time renewal of cell i, P
igthe covering antenna-feed parameter vector value of cell i corresponding when the area coverage of its all adjacent area is maximum before representing the covering antenna-feed parameter kth time renewal of cell i; ()
trepresent transposed matrix;
X3, for cell i, if calculate the covering antenna-feed parameter configuration after adopting the current kth in this community time to upgrade, the parameter of covering performance described in community reaches area coverage during described desired value, and the covering antenna-feed parameter configuration current according to each adjacent area, this community, calculate the area coverage of all adjacent areas, this community;
X4, judge whether the percentage of territory, the area coverage sum occupied area gross area of all communities in current described planning region reaches predeterminable area coverage rate threshold value, if so, then terminates described network coverage optimization method; Otherwise, perform step x5;
X5, judge whether current all described communities are selected all, if so, terminate described parameter optimization adjustment process, otherwise, perform step x1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310509454.7A CN104581741B (en) | 2013-10-25 | 2013-10-25 | Network coverage optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310509454.7A CN104581741B (en) | 2013-10-25 | 2013-10-25 | Network coverage optimization method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104581741A true CN104581741A (en) | 2015-04-29 |
| CN104581741B CN104581741B (en) | 2018-12-11 |
Family
ID=53096725
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310509454.7A Expired - Fee Related CN104581741B (en) | 2013-10-25 | 2013-10-25 | Network coverage optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104581741B (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105657726A (en) * | 2016-04-11 | 2016-06-08 | 长讯通信服务有限公司 | PCI planning based base station location method |
| CN106937299A (en) * | 2015-12-30 | 2017-07-07 | 中国移动通信集团北京有限公司 | A kind of antenna adjusting method and device |
| CN108306699A (en) * | 2018-02-08 | 2018-07-20 | 南京华苏科技有限公司 | A kind of antenna feeder optimization method estimated based on gain |
| CN105515629B (en) * | 2015-12-23 | 2018-09-28 | 东南大学 | A kind of LTE network coverage optimization method based on Modified particle swarm optimization |
| CN108601033A (en) * | 2018-04-25 | 2018-09-28 | 北京科技大学 | A kind of network work layout method based on Adam |
| CN108601034A (en) * | 2018-04-25 | 2018-09-28 | 北京科技大学 | A kind of network work layout method based on stochastic gradient descent method |
| CN108712752A (en) * | 2018-04-25 | 2018-10-26 | 北京科技大学 | A kind of network work layout method based on momentum method |
| CN108738032A (en) * | 2018-04-25 | 2018-11-02 | 北京科技大学 | A kind of network work layout method based on gradient descent method |
| CN110786046A (en) * | 2017-07-06 | 2020-02-11 | 华为技术有限公司 | Optimizing cellular networks using deep learning |
| CN112752268A (en) * | 2020-12-28 | 2021-05-04 | 深圳供电局有限公司 | Method for optimizing wireless network stereo coverage |
| CN115396904A (en) * | 2021-05-19 | 2022-11-25 | 中国联合网络通信集团有限公司 | Antenna configuration method and device and server |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102316469A (en) * | 2010-06-30 | 2012-01-11 | 华为技术有限公司 | Method and system for configuring antenna parameters |
| CN102448087A (en) * | 2010-10-13 | 2012-05-09 | 中国移动通信集团河南有限公司 | Method and system for optimizing antenna feeder parameters |
| CN102740336A (en) * | 2012-06-29 | 2012-10-17 | 北京邮电大学 | Autonomous coverage optimizing method of wireless access network |
-
2013
- 2013-10-25 CN CN201310509454.7A patent/CN104581741B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102316469A (en) * | 2010-06-30 | 2012-01-11 | 华为技术有限公司 | Method and system for configuring antenna parameters |
| CN102448087A (en) * | 2010-10-13 | 2012-05-09 | 中国移动通信集团河南有限公司 | Method and system for optimizing antenna feeder parameters |
| CN102740336A (en) * | 2012-06-29 | 2012-10-17 | 北京邮电大学 | Autonomous coverage optimizing method of wireless access network |
Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105515629B (en) * | 2015-12-23 | 2018-09-28 | 东南大学 | A kind of LTE network coverage optimization method based on Modified particle swarm optimization |
| CN106937299A (en) * | 2015-12-30 | 2017-07-07 | 中国移动通信集团北京有限公司 | A kind of antenna adjusting method and device |
| CN106937299B (en) * | 2015-12-30 | 2020-05-12 | 中国移动通信集团北京有限公司 | Antenna adjusting method and device |
| CN105657726B (en) * | 2016-04-11 | 2019-05-17 | 长讯通信服务有限公司 | A kind of PCI planning base station selection method |
| CN105657726A (en) * | 2016-04-11 | 2016-06-08 | 长讯通信服务有限公司 | PCI planning based base station location method |
| CN110786046A (en) * | 2017-07-06 | 2020-02-11 | 华为技术有限公司 | Optimizing cellular networks using deep learning |
| CN110786046B (en) * | 2017-07-06 | 2021-05-18 | 华为技术有限公司 | Optimizing cellular networks using deep learning |
| CN108306699B (en) * | 2018-02-08 | 2020-12-25 | 南京华苏科技有限公司 | Antenna feeder optimization method based on gain estimation |
| CN108306699A (en) * | 2018-02-08 | 2018-07-20 | 南京华苏科技有限公司 | A kind of antenna feeder optimization method estimated based on gain |
| CN108712752B (en) * | 2018-04-25 | 2020-03-03 | 北京科技大学 | Network working parameter optimization method based on momentum method |
| CN108601033A (en) * | 2018-04-25 | 2018-09-28 | 北京科技大学 | A kind of network work layout method based on Adam |
| CN108601033B (en) * | 2018-04-25 | 2020-03-31 | 北京科技大学 | Adam-based network working parameter optimization method |
| CN108738032A (en) * | 2018-04-25 | 2018-11-02 | 北京科技大学 | A kind of network work layout method based on gradient descent method |
| CN108601034B (en) * | 2018-04-25 | 2020-08-07 | 北京科技大学 | Network working parameter optimization method based on random gradient descent method |
| CN108712752A (en) * | 2018-04-25 | 2018-10-26 | 北京科技大学 | A kind of network work layout method based on momentum method |
| CN108601034A (en) * | 2018-04-25 | 2018-09-28 | 北京科技大学 | A kind of network work layout method based on stochastic gradient descent method |
| CN112752268A (en) * | 2020-12-28 | 2021-05-04 | 深圳供电局有限公司 | Method for optimizing wireless network stereo coverage |
| CN115396904A (en) * | 2021-05-19 | 2022-11-25 | 中国联合网络通信集团有限公司 | Antenna configuration method and device and server |
| CN115396904B (en) * | 2021-05-19 | 2023-08-22 | 中国联合网络通信集团有限公司 | Antenna configuration method, device and server |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104581741B (en) | 2018-12-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104581741A (en) | Network coverage optimization method | |
| CN102316469B (en) | Method and system for configuring antenna parameters | |
| CN102428607B (en) | Automatically directing apparatus and method for communication antenna | |
| CN102448087B (en) | Method and system for optimizing antenna feeder parameters | |
| US9345032B2 (en) | Method and apparatus for determining network clusters for wireless backhaul networks | |
| US9906351B2 (en) | Method of communication with distributed antenna array system and array system | |
| CN103746729B (en) | Distributed MIMO system base station side antenna position optimization method | |
| CN104219673A (en) | Network expansion method and system | |
| CN101600213A (en) | Adjust the method and the device of cell coverage area in a kind of network optimization | |
| Alsamhi et al. | HAP antenna radiation pattern for providing coverage and service characteristics | |
| CN102740478B (en) | Position information assisted satellite channel allocation method | |
| CN103686758A (en) | A method and a system for determining the downward inclination angles of antennas | |
| US20110003596A1 (en) | Base station configuration design support system, and base station configuration design support method and program | |
| CN103945393A (en) | Method and device for using wave beams to activate capacity station | |
| CN101605336B (en) | Method and device for determining wireless network of multiaerial system | |
| CN104602249A (en) | Method and device for determining community relations | |
| CN107682863B (en) | Power base station selection and layout method | |
| US9585092B2 (en) | Disconnection of resources of a radio access network with a low network load | |
| CN112423306B (en) | Automatic site selection method for base station | |
| CN102547821B (en) | A kind of descending coverage prediction method of theaomni-directional transmission directional reception site type and device | |
| US11528074B2 (en) | Repeater system for LPWAN and method for controlling same | |
| CN114125866A (en) | Neighbor cell planning method and device, computer equipment and storage medium | |
| CN104581745A (en) | Automatic sector planning method | |
| CN102290640A (en) | Base station antenna shaping system and shaping method | |
| CN104617997B (en) | Multiple cell MIMO Signal with Distributed Transmit Antennas base station side antenna port method for optimizing position |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20181211 Termination date: 20211025 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |