At&t Intellectual Property I, LP

At&t Mobility Ii LLC

Ravi Raina

Gopalakrishnan Meempat

Huahui Wang

Sarat Puthenpura

Sam Houston Parker

David Gerald Belanger

Wenjie Zhao

Xiaoyu Wang

Laurie Bigler

Henry Kafka

Zhen Wan

Raghvendra Savoor

Arun Jotshi

Stuart Blackburn

Vishwanath Ramamurthi

Tae Won Cho

Dipak Ghosal

Eric Antonio Alino

Zhefeng Li

Robert D Mathews

Slawomir Mikolaj Stawiarski

Kathleen S Meier-Hellstern

Weihua Ye

Hyun Ok Lee

Tony Wah-Tung Wong

Huijing Yang

Phyllis Weiss

Dongho Kim

Senthil Raj Dhandapani

Tony Thayil

Jyothis John

Kemal Kara

Hauhui Wang

Michael Orth

Architectures and techniques are presented that can provide point-to-point analysis to generate an improved signal strength prediction (SSP) based on, e.g., earth surface image data processing and analysis to draw conclusions of line of sight (LOS) along the propagation path between a BTS or another AP transmitter and CPE receiver. For example, USGS image data and/or elevation data of locations are identified to correspond to signal propagation between the transmitter and receiver can be analyzed for LOS signal quality at a fixed location, in addition to the statistical model prediction of the RF signal quality. As a result, foliage or terrain that obstructs the LOS can be identified and utilized to improve SSP by eliminating the additional pathloss due to LOS obstructions. Such can provide a significant improvement to SSP results that are conventionally predicted by statistical models rather than a point-to-point analysis.

Signal strength prediction based on line of sight analysis

Aspects of the subject disclosure may include, for example, receiving information about a data flow for radio communication between the radio access network and user equipment, classifying the data flow as one of a large data flow and a small data flow, adjusting priority of the data flow by reducing relative priority of the data flow responsive to classifying the data flow as a large data flow, and communicating data including the data flow between the radio access network and the user equipment according to the adjusted priority. Other embodiments are disclosed.

Enhanced network with data flow differentiation

Facilitating implementation of communication network deployment through network planning in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a system can include, configuring a first deployment scenario for first network equipment and a second deployment scenario for second network equipment. The first deployment scenario is selected from a group of first deployment scenarios and can include a first parameter. The second deployment scenario is selected from a group of second deployment scenarios and can include a second parameter. The configuring can include determining that a sum of the first parameter and the second parameter satisfies a function of a defined parameter level. The operations also can include facilitating a first enactment of the first deployment scenario for the first network equipment and a second enactment of the second deployment scenario for the second network equipment.

Facilitating implementation of communication network deployment through network planning in advanced networks

Distribution of traffic to cells in a communication network can be controlled. A distribution management component (DMC) can determine overall device traffic throughput for cells of a sector that satisfy a defined traffic throughput criterion relating to a harmonic mean of the device traffic throughput for the cells to desirably enhance or maximize the harmonic mean of the overall device traffic throughput. Based on the overall device traffic throughput for the cells, the DMC can determine whether to adjust a characteristic associated with a cell of the cells to facilitate adjusting distribution of device traffic among the cells of the sector to achieve desirable load balancing of traffic by the sector and in the network. Load balancing can be achieved by controlling respective parameters with regard to communication devices that are in idle mode or connected mode to facilitate directing communication devices and associated traffic to desired cells.

Load balancing in wireless networks for improved user equipment throughput

Aspects of the subject disclosure may include, for example, calculating a respective first quality metric for each cell of a plurality of cells included in a network, calculating a respective second quality metric for each cell of the plurality of cells, calculating a capacity of each cell of the plurality of cells in accordance with the first quality metric for the cell and the second quality metric for the cell, and allocating traffic of the network amongst the plurality of cells in accordance with the respective capacity of each cell of the plurality of cells. Other embodiments are disclosed.

Apparatuses and methods to facilitate load-aware radio access network resource allocations

The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Adaptive automated load balancing for mobility networks including fifth generation networks and beyond

Aspects of the subject disclosure may include, for example, collecting and storing data about a communication environment including one or more communication networks wherein respective communication networks of the one or more communication networks employ respective communication technologies for communication with remote user devices in the communication environment, providing traffic forecasts of communication traffic, creating importance layers for potential build locations for equipment of the one or more communication networks, identifying desirable build locations among the potential build locations of the one or more communication networks based on the traffic forecasts of communication traffic and the importance layers, receiving user input defining planning parameters for the communication environment and determining respective target goal values for respective build options for the one or more communication networks based on the planning parameters, the identified desirable build locations and the traffic forecasts. Other embodiments are disclosed.

Integrated mobility network planning

Aspects of the subject disclosure may include, for example, calculating a throughput of each cell of a plurality of cells of a communication network, calculating a total throughput of the plurality of cells, and distributing, in accordance with a first distribution, carrier aggregated traffic amongst the plurality of cells, wherein each cell obtains a respective portion of the carrier aggregated traffic as part of the first distribution in accordance with the throughput of the cell and the total throughput. Other embodiments are disclosed.

Apparatuses and methods for estimating throughput in accordance with quality of service prioritization and carrier aggregation to facilitate network resource dimensioning

The disclosed technology describes on-demand adjusting of the quality of service (QoS) class identifier (QCI) relative weight settings for different QCI classes associated with user devices. A QoS controller, which can be implemented in a standalone or a cloud configuration, updates the QCI weight settings as requested or needed to deal with changing network environments, such as growing traffic, different RF conditions, new devices, ratio of different service classes of user devices, to improve the overall performance of one or more cell sites. In one implementation, the QoS controller collects actual network statistics, and runs simulations based on those statistics with different groups of candidate QCI weight settings to generate multiple result sets. The QoS controller evaluates the result sets to determine which group of QCI weight settings meets desired performance objectives, and then applies those QCI weight settings to one or more NodeBs for use with actual data traffic.

Controlling quality of service class identifier weights for improved performance in 5G or other next generation networks

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.

Apparatuses and methods for network resource dimensioning in accordance with differentiated quality of service

Distribution of traffic to cells in a communication network can be controlled. User equipment (UE) can perform measurements regarding signal quality with cells and communicate measurement information and a connection request to a source cell. The source cell can establish an initial connection with the UE. Meanwhile, the UE can perform additional measurements and communicate additional measurement information to the source cell. A distribution management component (DMC) can analyze the measurement information and cell-related information and determine whether to redirect the UE from the source cell to a target cell based on the analysis results. If the DMC determines that the UE is to be redirected to the target cell, the DMC can release the connection to the source cell and communicate a redirect message that includes target cell information to the UE, and the UE can send a connection request to the target cell.

Load balancing in wireless networks to enhance user experience

Growing community of inventors

North Brunswick, NJ, United States of America

Ravi Raina