Abstract: A method, apparatus and network node for clustering a terrestrial area based on Geohash coordinates by selecting a node based on a Geohash area identified by a Geohash string of a predetermined length; subdividing the Geohash area into subareas by increasing the Geohash string by a length of one; and sequencing through the subareas to identify subarea/subareas that exceed a threshold number of a selected parameter. For subareas not exceeding the threshold number of the selected parameter, combining those subareas into clusters without exceeding the threshold number of the selected parameter in respective clusters. For subareas exceeding the threshold number of the selected parameters, subdividing those subareas into further subareas by increasing the Geohash string by one and sequencing through the further subareas to place the further subareas into clusters without exceeding the threshold number of the selected parameter.

Abstract: A method at a network node for compensating for inter-frequency coverage disparity between multiple cells operating across a coverage area of a wireless communications network. The method determines a disparity in signal coverage over the coverage area between a first cell and a second cell, wherein the first cell operates at a different frequency spectrum or frequency band from the second cell and wherein the network node determines the disparity in signal coverage by analyzing network data collected for the first and second cells. The method determines when the disparity in signal coverage meets a set criterion; and when the disparity in signal coverage meets the set criterion, adjusting coverage shape of one of the first cell and the second cell over the coverage area to reduce the disparity, wherein the adjusting of the coverage shape is performed by tilting signal coverage of the antenna at the transmission point.

Abstract: A method performed by a node in a communications network for predicting energy usage in the communications network. The method comprises obtaining values of network parameters for a plurality of nodes in the communications network and corresponding energy usage measurements for the plurality of nodes, and obtaining a subset of the network parameters that are correlated with the energy usage measurements. The method then comprises training a first model using a first machine learning process to take as input the values of the subset of network parameters for the nodes in the plurality of nodes, and output a prediction of the corresponding energy usage measurements.

Abstract: A method, system and network node for detecting indoor traffic of a wireless communications network by obtaining data associated with an operation of a cell of the wireless communication network and determining a quality grading and coverage grading for the cell from the obtained data. The combined quality and coverage grading results are assessed to determine an approximate value corresponding to an amount of cell traffic assessed as being indoor traffic and generating an output indicating the amount of cell traffic as being indoor traffic.

Abstract: A method, apparatus and network node for clustering a terrestrial area based on Geohash coordinates by selecting a node based on a Geohash area identified by a Geohash string of a predetermined length; subdividing the Geohash area into subareas by increasing the Geohash string by a length of one; and sequencing through the subareas to identify subarea/subareas that exceed a threshold number of a selected parameter. For subareas not exceeding the threshold number of the selected parameter, combining those subareas into clusters without exceeding the threshold number of the selected parameter in respective clusters. For subareas exceeding the threshold number of the selected parameters, subdividing those subareas into further subareas by increasing the Geohash string by one and sequencing through the further subareas to place the further subareas into clusters without exceeding the threshold number of the selected parameter.

Abstract: A method at a network node for compensating for inter-frequency coverage disparity between multiple cells operating across a coverage area of a wireless communications network. The method determines a disparity in signal coverage over the coverage area between a first cell and a second cell, wherein the first cell operates at a different frequency spectrum or frequency band from the second cell and wherein the network node determines the disparity in signal coverage by analyzing network data collected for the first and second cells. The method determines when the disparity in signal coverage meets a set criterion; and when the disparity in signal coverage meets the set criterion, adjusting coverage shape of one of the first cell and the second cell over the coverage area to reduce the disparity, wherein the adjusting of the coverage shape is performed by tilting signal coverage of the antenna at the transmission point.

Abstract: A method performed by a node in a communications network for predicting energy usage in the communications network. The method comprises obtaining values of network parameters for a plurality of nodes in the communications network and corresponding energy usage measurements for the plurality of nodes, and obtaining a subset of the network parameters that are correlated with the energy usage measurements. The method then comprises training a first model using a first machine learning process to take as input the values of the subset of network parameters for the nodes in the plurality of nodes, and output a prediction of the corresponding energy usage measurements.

Abstract: A method at a network node for compensating for inter-frequency coverage disparity between multiple cells operating across a coverage area of a wireless communications network. The method determines a disparity in signal coverage over the coverage area between a first cell and a second cell, wherein the first cell operates at a different frequency spectrum or frequency band from the second cell and wherein the network node determines the disparity in signal coverage by analyzing network data collected for the first and second cells. The method determines when the disparity in signal coverage meets a set criterion; and when the disparity in signal coverage meets the set criterion, adjusting coverage shape of one of the first cell and the second cell over the coverage area to reduce the disparity, wherein the adjusting of the coverage shape is performed by tilting signal coverage of the antenna at the transmission point.