An apparatus and a method for simultaneous localization of multiple targets in 3-D cooperative wireless sensor networks (WSNs), utilizing combined measurements of received signal strength (RSS) and angle of arrival (AoA) are disclosed herein. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. The method disclosed herein has a straightforward adaptation to the case where the target's transmit power is also not known. A representative set of simulations and experiments verify the potential performance improvement realized with embodiments of the method for RSS/AoA network localization in 3-D space.

An apparatus and a method for simultaneous localization of multiple targets in 3-D cooperative wireless sensor networks (WSNs), utilizing combined measurements of received signal strength (RSS) and angle of arrival (AoA) are disclosed herein. By exploiting the convenient nature of spherical representation of the considered problem, the measurement models are linearized and a sub-optimal estimator is formulated. The method disclosed herein has a straightforward adaptation to the case where the target's transmit power is also not known. A representative set of simulations and experiments verify the potential performance improvement realized with embodiments of the method for RSS/AoA network localization in 3-D space.

An apparatus, computer program product, and method relating to radio sensor coverage estimation for wireless network assurance. A network controller estimates a network sensor coverage level for candidate access points (APs), based on potential use of the candidate APs as network sensors to measure at least one key performance indicator (KPI). The controller determines a subset of the candidate APs, based on evaluating candidate APs for suitability as network sensors. The controller estimates a second network sensor coverage level for the subset of candidate APs, based on potential use of the subset of candidate APs as network sensors. The controller determines that the second network sensor coverage level is within a pre-defined threshold of the first network sensor coverage level, and provisions a radio in each AP in the subset of candidate APs as a network sensor to measure at least one KPI.

An apparatus, computer program product, and method relating to radio sensor coverage estimation for wireless network assurance. A network controller estimates a network sensor coverage level for candidate access points (APs), based on potential use of the candidate APs as network sensors to measure at least one key performance indicator (KPI). The controller determines a subset of the candidate APs, based on evaluating candidate APs for suitability as network sensors. The controller estimates a second network sensor coverage level for the subset of candidate APs, based on potential use of the subset of candidate APs as network sensors. The controller determines that the second network sensor coverage level is within a pre-defined threshold of the first network sensor coverage level, and provisions a radio in each AP in the subset of candidate APs as a network sensor to measure at least one KPI.

The present disclosure relates to converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT), and may be applied to intelligent services, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method according to disclosed aspects includes receiving a first control message including a first random access response window for a first cell group, receiving a second control message for adding a second cell group, including information on a second random access response window size for the second cell group, transmitting, on a cell of the second cell group, a random access preamble, and monitoring, on the cell of the second cell group, a random access response based on the second random access response window size for the second cell group.

The present disclosure relates to converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT), and may be applied to intelligent services, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method according to disclosed aspects includes receiving a first control message including a first random access response window for a first cell group, receiving a second control message for adding a second cell group, including information on a second random access response window size for the second cell group, transmitting, on a cell of the second cell group, a random access preamble, and monitoring, on the cell of the second cell group, a random access response based on the second random access response window size for the second cell group.

Methods are provided for switching networks for a mobile device using location based predictive algorithm. In these methods, a controller obtains a first network coverage map of a first network and a second network coverage map of a second network. The first network and the second network are configured to provide network connectivity to a mobile device. The method further includes the controller tracking the mobile device along a path over which the mobile device travels while the mobile device is connected to the first network, determining that a predicted future location along the path of the mobile device is not serviced by the first network and is serviced by the second network, and causing the mobile device to switch from the first network to the second network based on the mobile device reaching the predicted future location.

Methods are provided for switching networks for a mobile device using location based predictive algorithm. In these methods, a controller obtains a first network coverage map of a first network and a second network coverage map of a second network. The first network and the second network are configured to provide network connectivity to a mobile device. The method further includes the controller tracking the mobile device along a path over which the mobile device travels while the mobile device is connected to the first network, determining that a predicted future location along the path of the mobile device is not serviced by the first network and is serviced by the second network, and causing the mobile device to switch from the first network to the second network based on the mobile device reaching the predicted future location.

Aspects include determining whether a utilization of wireless spectrum associated with a guaranteed class of traffic in a network is greater than a first threshold, responsive to the determining indicating that the utilization of the wireless spectrum associated with the guaranteed class of traffic is greater than the first threshold, causing an upgrade of a capacity in the network, and responsive to the determining indicating that the utilization of the wireless spectrum associated with the guaranteed class of traffic is not greater than the first threshold: determining a throughput for a non-guaranteed class of traffic for each cell of a plurality of cells of the network, and responsive to determining that the throughput for the non-guaranteed class of traffic for at least one cell of the plurality of cells is less than a second threshold, causing the upgrade of the capacity in the network. Other embodiments are disclosed.

Devices, systems, and methods for optimizing a mesh network by cloud computing. A cloud network controller may receive from multiple access points (APs) in a mesh network information related to channel quality based on measurements taken by the APs. Based on this information, the cloud network controller may forecast one or more optimal channels based on the information related to channel quality. The cloud network controller my then send to the multiple APs a message including a recommendation to switch to the one or more optimal channels based on the forecasting. The AP may then make a decision to carry out the recommended channel switch.