METHODS AND SYSTEMS FOR SMALL CELLS DEPLOYMENT
Methods and systems for small cells deployment are disclosed. A small cells deployment system may collect user activity data associated with each of a plurality of sections within an area of interest; determine a first set of activity metrics based on the user activity data, the first set of activity metrics including a first activity metric associated with each of the plurality of sections; determine a second set of activity metrics for the plurality of sections by applying a filter to the first set of activity metrics, the second set of activity metrics including a second activity metric associated with each of the plurality of sections; select one or more sections based on the second set of activity metrics; and identify one or more locations for small cells deployment within or around the one or more sections.
1 . A method for small cells deployment, comprising:
collecting user activity data associated with each of a plurality of sections within an area of interest;
determining a first set of activity metrics based on the user activity data, the first set of activity metrics including a first activity metric associated with each of the plurality of sections;
determining a second set of activity metrics for the plurality of sections by applying a filter to the first set of activity metrics, the second set of activity metrics including a second activity metric associated with each of the plurality of sections;
selecting one or more sections based on the second set of activity metrics; and
identifying one or more locations for small cells deployment within or around the one or more sections.
2 . The method of claim 1 , further comprising:
interpolating the second set of activity metrics using a two-dimensional polynomial interpolator; and
selecting one or more grids within the plurality of sections based on the interpolated activity metrics.
3 . The method of claim 1 , wherein the first set of activity metrics is determined based on an amount of cell traffic and a cell traffic speed associated with each of the plurality of sections.
4 . The method of claim 1 , wherein the user activity data is collected over a pre-defined time period of a day for a number of days.
5 . The method of claim 1 , wherein the filter is a two-dimensional smoothing filter.
6 . The method of claim 1 , wherein coefficients of the filter are determined based at least in part on a correlation length of a map morphology and demography associated with the area of interest.
7 . The method of claim 1 , wherein the one or more sections have the highest values of the second activity metrics among the second set of activity metrics.
8 . The method of claim 1 , wherein identifying the one or more locations includes identifying high activity places within or around the one or more sections.
9 . The method of claim 1 , wherein identifying the one or more locations is based on web search queries using one or more location-based web services.
10 . The method of claim 1 , wherein each of the plurality of sections has a substantially same size.
11 . The method of claim 1 , further comprising dividing the area of interest to the plurality of sections.
12 . A small cells deployment system, comprising:
at least one processor;
at least one memory device comprising instructions which, when executed by the at least one processor, cause the small cells deployment system to perform operations including:
collecting user activity data associated with each of a plurality of sections within an area of interest;
determining a first set of activity metrics based on the user activity data, the first set of activity metrics including a first activity metric associated with each of the plurality of sections;
determining a second set of activity metrics for the plurality of sections by applying a filter to the first set of activity metrics, the second set of activity metrics including a second activity metric associated with each of the plurality of sections;
selecting one or more sections based on the second set of activity metrics; and
identifying one or more locations for small cells deployment within or around the one or more sections.
13 . The small cells deployment system of claim 12 , wherein the instructions, when executed by the at least one processor, further cause the small cells deployment system to perform operations including:
interpolating the second set of activity metrics using a two-dimensional polynomial interpolator; and
selecting one or more grids within the plurality of sections based on the interpolated activity metrics.
14 . The small cells deployment system of claim 12 , wherein the first set of activity metrics is determined based on an amount of cell traffic and a cell traffic speed associated with each of the plurality of sections.
15 . The small cells deployment system of claim 12 , wherein the user activity data is collected over a pre-defined time period of a day for a number of days.
16 . The small cells deployment system of claim 12 , wherein the filter is a two-dimensional smoothing filter.
17 . The small cells deployment system of claim 12 , wherein coefficients of the filter are determined based at least in part on a correlation length of a map morphology and demography associated with the area of interest.
18 . The small cells deployment system of claim 12 , wherein the one or more sections have the highest values of the second activity metrics among the second set of activity metrics.
19 . The small cells deployment system of claim 12 , wherein identifying the one or more locations includes identifying high activity places within or around the one or more sections.
20 . The small cells deployment system of claim 12 , wherein identifying the one or more locations is based on web search queries using one or more location-based web services.
21 . The small cells deployment system of claim 12 , wherein each of the plurality of sections has a substantially same size.
22 . The small cells deployment system of claim 12 , wherein the instructions, when executed by the at least one processor, further cause the small cells deployment planning system to perform operations including dividing the area of interest to the plurality of sections.
23 . A non-transitory computer-readable medium comprising instructions for an electronic device, the instructions being executable by a processor of the electronic device for causing the electronic device to perform operations including:
collecting user activity data associated with each of a plurality of sections within an area of interest;
determining a first set of activity metrics based on the user activity data, the first set of activity metrics including a first activity metric associated with each of the plurality of sections;
determining a second set of activity metrics for the plurality of sections by applying a filter to the first set of activity metrics, the second set of activity metrics including a second activity metric associated with each of the plurality of sections;
selecting one or more sections based on the second set of activity metrics; and
identifying one or more locations for small cells deployment within or around the one or more sections.
24 . A network, comprising:
a plurality of small cells; and
a plurality of user devices,
wherein
(i) user activity data associated with each of a plurality of sections within an area of interest is collected,
(ii) a first set of activity metrics based on the user activity data is determined, the first set of activity metrics including a first activity metric associated with each of the plurality of sections;
(iii) a second set of activity metrics for the plurality of sections is determined by applying a filter to the first set of activity metrics, the second set of activity metrics including a second activity metric associated with each of the plurality of sections,
(iv) one or more sections is selected based on the second set of activity metrics, and
(v) one or more locations is identified for small cells deployment within or around the one or more sections.