Methods and systems for deploying and sharing aerial cells in an mMTC system
A method for deploying and sharing aerial cells in a massive machine type communication (mMTC) network includes forecasting data traffic across a plurality of mMTC network operators for each of a plurality of geographical areas. The method includes generating a forecasted plan based on the forecasted data traffic, and a hovering time of each of a plurality of aerial cells. The method includes deploying and sharing at least one aerial cell from the plurality of aerial cells between the plurality of mMTC network operators to provide coverage to at least one mMTC node in at least one geographical area of the plurality of geographical areas, based on the forecasted plan.
1. A method for deploying and sharing aerial cells across a plurality of massive machine type communication (mMTC) network operators, the method comprising:
forecasting, by an mMTC aerial asset manager (AAM), data traffic across the plurality of mMTC network operators for each geographical area of a plurality of geographical areas;
generating, by the mMTC AAM, a forecasted plan based on the forecasted data traffic, and hovering time of each of a plurality of aerial cells;
deploying, by the mMTC AAM, at least one aerial cell from the plurality of aerial cells to provide coverage to at least one mMTC node in at least one geographical area of the plurality of geographical areas, based on the forecasted plan; and
sharing, by the mMTC AAM, the deployed at least one aerial cell between the plurality of mMTC network operators based on the forecasted plan.
2. The method of claim 1 , wherein the plurality of aerial cells are Low Altitude Platform (LAP) based aerial cells, wherein the forecasted data traffic includes Internet of Things (IoT) data traffic.
3. The method of claim 1 , wherein forecasting, by the mMTC AAM, the forecasted data traffic includes:
collecting data traffic metrics from the plurality of mMTC network operators, the at least one mMTC node, and/or device logs, for each geographical area of the plurality of geographical areas, wherein the data traffic metrics indicate data traffic generated between at least two time instants and an associated mMTC network operator of the plurality of mMTC network operators; and
processing the collected data traffic metrics using a neural network to forecast the data traffic across the plurality of mMTC network operators for each geographical area, of the plurality of geographic areas, corresponding to at least one time instant.
4. The method of claim 3 , wherein the neural network is a trained neural network based on training datasets received from the plurality of mMTC network operators, wherein the training datasets indicate the data traffic monitored over time for a plurality of geographical areas corresponding to each mMTC network operator of the plurality of mMTC network operators.
5. The method of claim 3 , wherein generating, by the mMTC AAM, the forecasted plan includes:
analyzing the forecasted data traffic, a number of available aerial cells of the plurality of aerial cells, a data traffic rate of each aerial cell of the plurality of aerial cells, and/or the hovering time of each of the plurality of aerial cells using an epoch-based time slicing to generate the forecasted plan.
6. The method of claim 5 , wherein the forecasted plan indicates at least one of:
the at least one geographical area to deploy the at least one aerial cell for the at least one time instant;
a subset of aerial cells of the plurality of aerial cells for sharing between the plurality of mMTC network operators;
the plurality of mMTC network operators that share the at least one aerial cell for the at least one time instant;
usage and trajectory of each aerial cell of the plurality of aerial cells in the at least one geographical area; and
an epoch of time slice for each mMTC network operator of the plurality of mMTC network operators on the at least one aerial cell for the at least one time instant.
7. The method of claim 6 , wherein the epoch of time slice for each mMTC network operator of the plurality of mMTC network operators is within a hovering time of the at least one aerial cell of the plurality of aerial cells during a time that at least one radio resource from the at least one aerial cell is dedicated to a corresponding mMTC network operator of the plurality of mMTC network operators.
8. The method of claim 1 , wherein sharing the at least one aerial cell of the plurality of aerial cells between the plurality of mMTC network operators includes:
sharing at least one asset of the at least one aerial cell of the plurality of aerial cells between the plurality of mMTC network operators, wherein the at least one asset includes an aerial platform, a spectrum, and/or a backhaul.
9. A massive machine type communication (mMTC) aerial asset manager (AAM) comprising:
a memory; and
a controller coupled to the memory and configured to:
forecast data traffic across a plurality of mMTC network operators for each of a plurality of geographical areas;
generate a forecasted plan based on the forecasted data traffic, and a hovering time of each of a plurality of aerial cells;
deploy at least one aerial cell from the plurality of aerial cells to provide coverage to at least one mMTC node in at least one geographical area of the plurality of geographical areas, based on the forecasted plan; and
share the deployed at least one aerial cell between the plurality of mMTC network operators based on the forecasted plan.
10. The mMTC AAM of claim 9 , wherein the plurality of aerial cells are Low Altitude Platform (LAP) based aerial cells, wherein the data traffic includes Internet of Things (IoT) data traffic.
11. The mMTC AAM of claim 9 , wherein the controller is configured to:
collect data traffic metrics from the plurality of mMTC network operators, the at least one mMTC node, and/or device logs, for each geographical area of the plurality of geographical areas, wherein a data traffic metric indicates the data traffic generated between at least two-time instants and an associated mMTC network operator of the plurality of mMTC network operators; and
process the collected data traffic metrics using a neural network to forecast the data traffic across the plurality of mMTC network operators for each geographical area corresponding to at least one time instant.
12. The mMTC AAM of claim 11 , wherein the neural network is a trained neural network based on training datasets received from the plurality of mMTC network operators, wherein the training datasets indicate the data traffic monitored over time for each of the plurality of geographical areas corresponding to each mMTC network operator of the plurality of mMTC network operators.
13. The mMTC AAM of claim 9 , wherein the controller is configured to:
analyze at least one of, the forecasted data traffic, a number of available aerial cells, a data traffic rate of each aerial cell and the hovering time of each aerial cell using an epoch-based time slicing to generate the forecasted plan.
14. The mMTC AAM of claim 13 , wherein the forecasted plan indicates at least one of:
the at least one geographical area to deploy the at least one aerial cell for the at least one time instant;
a number of aerial cells for sharing between the plurality of mMTC network operators;
the plurality of mMTC network operators that share the at least one aerial cell for the at least one time instant;
usage and trajectory of each aerial cell in the at least one geographical area; and
an epoch of time slice for each mMTC network operator of the plurality of mMTC network operators on the at least one aerial cell for the at least one time instant.
15. The mMTC AAM of claim 14 , wherein the epoch of time slice for each mMTC network operator of the plurality of mMTC network operators is within the hovering time of the at least one aerial cell during a time that at least one radio resource from the at least one aerial cell is dedicated to a corresponding mMTC network operator.
16. A massive machine type communication (mMTC) system, comprising:
a plurality of mMTC nodes;
a plurality of mMTC network operators;
a plurality of aerial cells coupled to the plurality of mMTC network operators; and
an mMTC aerial asset manager (AAM) coupled to the plurality of mMTC network operators and configured to:
forecast data traffic across the plurality of mMTC network operators for each of a plurality of geographical area;
generate a forecasted plan based on the forecasted data traffic, and hovering time of each of the plurality of aerial cells;
deploy at least one aerial cell from the plurality of aerial cells to provide coverage to at least one mMTC node in at least one geographical area, based on the forecasted plan; and
share the deployed at least one aerial cell between the plurality of mMTC network operators based on the forecasted plan.