Dynamic reorganization of cell structures in wireless networks
Dynamic reorganization of cell structures in wireless networks. The present invention relates to wireless communications and, more particularly, to energy usage of wireless equipments in wireless communications. Currently there are mechanisms in use that can selectively turn of carriers in a BTS depending on the traffic load. But due to the fixed costs of operating the base station even when there are no active users, turning off entire BTS will give more energy savings than simply reducing capacity by turning off carriers at low load. Embodiments herein detect a change in demand on the network and re-organize the cellular network by selectively turning off BTSs and appropriately increasing the coverage area of other BTSs, and arrive at a configuration that optimizes the energy consumption of the cellular network as a whole.
1. A method of selecting an optimal cell size in a wireless communication network comprising of a planning module and a plurality of base transceiver stations, said method comprising:
said planning module calculating power consumption of said wireless communication network as a function of a plurality of parameters, wherein the parameters are based at least on noisy channel communication, radio signal propagation, and cellular base station architecture;
said planning module calculating an optimal cell radius, wherein said optimal cell radius depends on at least one of
users served by said wireless communication network;
traffic variation over a period of time in said wireless communication network;
power consumption of said Base Transceiver Stations; and
types of service offered by said wireless communication network; and
said planning module calculating a set of cell radii based on said optimal cell radius, wherein said cell radii minimizes power consumption over the same traffic variation in said wireless communication network.
2. The method, as claimed in claim 1 , wherein said planning module calculates power consumption of said wireless communication network based on architecture of said wireless communication network.
3. The method, as claimed in claim 1 , wherein said optimal cell radius minimizes power consumption of said wireless communication network over a period of time and depends at least on locations of said base transceiver stations, a density of an area, a topography of an area, and a presence of indoor users.
4. The method, as claimed in claim 1 , wherein said set of cell radii is calculated by considering all possible combinations of said optimal cell radius at predefined intervals.
5. The method, as claimed in claim 1 , wherein a cell structure is created in said wireless communication network based on said set of cell radii, wherein said cell structure comprises of at least one umbrella base transceiver station and a plurality of subsidiary base transceiver stations.
6. A wireless communication network comprising one or more processors configured to:
calculate power consumption of said wireless communication network as a function of a plurality of parameters, wherein the parameters are based at least on noisy channel communication, radio signal propagation, and cellular base station architecture;
calculate an optimal cell radius, wherein said optimal cell radius depends on at least one of
users served by said wireless communication network;
traffic variation over a period of time in said wireless communication network;
power consumption of said Base Transceiver Stations; and
types of service offered by said wireless communication network; and
calculate a set of cell radii based on said optimal cell radius, wherein said cell radii minimizes power consumption over the same traffic variation in said wireless communication network.
7. The wireless communication network, as claimed in claim 6 , where said one or more processors of said system are further configured to calculate power consumption of said wireless communication network based on architecture of said wireless communication network.
8. The wireless communication network, as claimed in claim 6 , where said one or more processors of said system are further configured to calculate an optimal cell radius, wherein said optimal cell radius minimizes power consumption of said wireless communication network over a period of time and depends at least on locations of said base transceiver stations, a density of an area, a topography of an area, and a presence of indoor users.
9. The wireless communication network, as claimed in claim 6 , where said one or more processors of said system are further configured to calculate said set of cell radii by considering a plurality of possible combinations of said optimal cell radius at predefined intervals.