Abstract: A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.

Abstract: A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.

Abstract: A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.

Abstract: A system and method for 3D propagation modelling for planning of a radio network, is disclosed. In the present invention, automatic tuning of propagation path loss parameters of a Continuous Wave (CW) based 3D propagation model for LOS (line of sight) and NLOS (non-line of sight) radio transmissions in a first geographical area, is performed. Further, in the present invention, 3D propagation models for remaining geographies having similar geographical area and clutter types as the first geographical area, are generated without performing any drive test while compensating the propagation path loss parameters of the generated model using periodically measured user equipment (UE) data. The generated 3D models may be updated dynamically as the 3D models are developed based on UE data updated from time to time.

Abstract: A system and method for 3D propagation modelling for planning of a radio network, is disclosed. In the present invention, automatic tuning of propagation path loss parameters of a Continuous Wave (CW) based 3D propagation model for LOS (line of sight) and NLOS (non-line of sight) radio transmissions in a first geographical area, is performed. Further, in the present invention, 3D propagation models for remaining geographies having similar geographical area and clutter types as the first geographical area, are generated without performing any drive test while compensating the propagation path loss parameters of the generated model using periodically measured user equipment (UE) data. The generated 3D models may be updated dynamically as the 3D models are developed based on UE data updated from time to time.

Abstract: The present disclosure relates to identifying azimuth error and determining an azimuth of an antenna installed in a cell of a cellular network. In a preferred embodiment, the network entity receives a plurality of transmission parameters basis to which the network entity identifies a target cell. The network entity further divides angular region of the cell serving the target cell into a plurality of cones out of which a target cone is identified by the network entity. The network entity then performs first iteration yielding a first azimuth, and in an event of an azimuth error in the first azimuth, the network entity performs second iteration yielding a second azimuth. The present disclosure also encompasses predicting an optimum azimuth of said antenna in an event of azimuth error/s in the first azimuth and the second azimuth.

Abstract: A system and method for automatic deployment of at least one outdoor small cell. The method comprises dynamically collecting traffic data corresponding to a geographic location associated with a cellular network by a data collection module [202]. Next, a data collection module [204] automatically identifies a group of spatial grids from the one or more cells within the geographic location based on the traffic data and automatically determines one or more locations within the geographic locations for deploying the at least one outdoor small cell based on the identified group of spatial grids. A backhaul link clearance module [206] automatically determines a backhaul connection between the one or more determined locations with the cellular network. An azimuth planning module [208] automatically determines an azimuth for the at least one outdoor small cell based on the determined connection. A deployment unit [210] deploy the at least one outdoor small cell.

Abstract: The present disclosure relates to automatically optimizing cell parameter(s) of serving base station(s) to effectively serve a coverage hole. In an embodiment, the system receives parameters such as at least one first parameter, at least one second parameter, at least one network performance parameter and the at least one cell parameter of the at least one serving base station. Further, based on the at least one network performance parameter, at least one coverage hole is identified from a coverage area (containing a plurality of sectors), wherein the coverage area is served by the at least one serving base station. Thereafter, a first optimization of the at least one cell parameter is performed and subsequently a first value of the at least one second parameter is determined. Further, a second optimization is performed if the first optimization is un-successful.

Abstract: The present disclosure relates to identifying azimuth error and determining an azimuth of an antenna installed in a cell of a cellular network. In a preferred embodiment, the network entity receives a plurality of transmission parameters basis to which the network entity identifies a target cell. The network entity further divides angular region of the cell serving the target cell into a plurality of cones out of which a target cone is identified by the network entity. The network entity then performs first iteration yielding a first azimuth, and in an event of an azimuth error in the first azimuth, the network entity performs second iteration yielding a second azimuth. The present disclosure also encompasses predicting an optimum azimuth of said antenna in an event of azimuth error/s in the first azimuth and the second azimuth.