Method and system for managing a plurality of Wi-Fi access points considering backhauls and energy consumption using a cloud based adaptive software defined network

A system for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN), the system comprising:

• a memory;
• a processor communicatively coupled to the memory, wherein the processor is configured to:
• collect measurement data corresponding to a plurality of network variables from at least one Wi-Fi access point of the plurality of Wi-Fi access points and at least one client device of a plurality of client devices using a cloud based network application;
• derive a first optimal setting of a first decision variable for the at least one Wi-Fi-access point and a second optimal setting of a second decision variable for the at least one Wi-Fi-access point using a real-time optimization based on at least one network variable of the plurality of network variables, backhaul limits corresponding to the at least one Wi-Fi access point and a download behavior corresponding to the at least one client device, wherein the first decision variable is an operating channel selection corresponding to the at least one Wi-Fi access point and the second decision variable is a transmit power corresponding to the at least one Wi-Fi access point;
• and
• wherein the real-time optimization comprises formulation of optimization problems through heuristic solutions and a machine learning based optimization;
• wherein the real-time optimization is a two-step optimization process;
• wherein a second optimization step of the two-step optimization process is used for deriving the second optimal setting of the second decision variable for the at least one Wi-Fi access point;
• and
• wherein the processor is configured to formulate an optimization problem to reduce transmit power of a Wi-Fi access point of the plurality of Wi-Fi access points using the SINR of a client device of the plurality of client devices and a maximum data rate from a Wi-Fi access point of the plurality of Wi-Fi access point to the client device.

A method for managing a plurality of Wi-Fi access points using a cloud based adaptive software defined network (A-SDN), the method comprising:

• collecting, by one or more processors, measurement data corresponding to a plurality of network variables from at least one Wi-Fi access point of the plurality of Wi-Fi access points and at least one client device of a plurality of client devices using a cloud based network application;
• deriving, by one or more processors, a first optimal setting of a first decision variable for the at least one Wi-Fi-access point and a second optimal setting of a second decision variable for the at least one Wi-Fi-access point using a real-time optimization based on at least one network variable of the plurality of network variables, backhaul limits corresponding to the at least one Wi-Fi access point and a download behavior corresponding to the at least one client device, wherein the first decision variable is an operating channel selection corresponding to the at least one Wi-Fi access point and the second decision variable is a transmit power corresponding to the at least one Wi-Fi access point;
• and
• wherein the real-time optimization comprises formulation of optimization problems through heuristic solutions and a machine learning based optimization;
• wherein deriving the first optimal setting and the second optimal setting using the real-time optimization comprises:
• forecasting, by one or more processors, network dynamics based on density at the least one Wi-Fi access point, wherein an average data demand profile is calculated with less and periodic measurements based on the network dynamics, creating a statistical database for future predictions;
• and
• performing, by one or more processors, an uncertainty evaluation of the network from the at least one client device to the at least one Wi-Fi access point.