AT&T Intellectual Property I, LP

Lucent Technologies Inc.

At&t Mobility II LLC

Lsi Corporation

Gopalakrishnan Meempat

Ravi Raina

Huahui Wang

Sarat Puthenpura

Sam Houston Parker

David Gerald Belanger

Wenjie Zhao

Henry Kafka

Laurie Bigler

Raghvendra Savoor

Stuart Blackburn

Vishwanath Ramamurthi

Tae Won Cho

Dipak Ghosal

Xiaoyu Wang

William James Dally

David James Houck, Jr

Gopalakrishnan Ramamurthy

Robert D Mathews

Sheldon Kent Meredith

Mark D Austin

Jeremy Fix

Slawomir Mikolaj Stawiarski

Arun Jotshi

Yaron Kanza

Syed Anwar Aftab

Weihua Ye

Velin Kounev

Hyun Ok Lee

James Klosowski

Krystian Czapiga

Huijing Yang

Dongho Kim

Senthil Raj Dhandapani

Tony Thayil

Serkan Isci

Kemal Kara

Hauhui Wang

Kenneth G Kristiansen, Jr

In one example, a method performed by a processing system including at least one processor includes creating a geospatial model of an environment in which a cellular network is to be deployed, transforming, for each cellular antenna of a proposed antenna layout of the cellular network, a radiation pattern of the each cellular antenna into a signal strength array, to create a plurality of signal strength arrays, augmenting, for each signal strength array of the plurality of signal strength arrays, the each signal strength array with at least one parameter of a corresponding cellular antenna of the proposed antenna layout and at least one value describing the environment in which the cellular network is to be deployed, and estimating a coverage of the proposed antenna layout based on the signal strength array, as augmented, using a machine learning model.

Machine-learning-based wireless planning using antenna radiation patterns

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, 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

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

Aspects of the subject disclosure may include, for example, a non-transitory machine-readable storage medium comprising executable instructions that, when executed by a processing system including a processor, perform operations comprising: identifying a first plurality of cells as a controlled group of cells; determining, for each cell of the controlled group of cells, an average number of allocated physical resource blocks; determining, for each cell of the controlled group of cells, a total number of physical resource blocks available to carry payload traffic; determining, for each cell of the controlled group of cells, a metric equal to: (a) the average number of allocated physical resource blocks of the cell divided by (b) the total number of physical resource blocks of the cell available to carry payload traffic; and performing a load balancing of the controlled group of cells based upon the metric. Other embodiments are disclosed.

Method and apparatus for adaptive load balancing in wireless networks

A method, computer readable medium and apparatus for calculating a capacity for high speed packet access data in a link in a communications network are disclosed. For example, the method initializes parameters associated with streaming data, long elastic data and short elastic data, determines, via a processor, a capacity value such that a quality of service metric is met for the streaming data, the long elastic data and the short elastic data and provisions the link with the capacity value if the quality of service metric is met.

Method and apparatus for capacity dimensioning in a communication network

A method and apparatus for selecting a bandwidth option for a cell in a network are disclosed. For example, the method obtains, for the cell, network traffic data for a geographical area, and a physical characteristic of an antenna in the geographical area, determines busy time data traffic from the network traffic data, determines, for the cell, a cell range from the physical characteristic of the antenna, selects a bandwidth option from a plurality of bandwidth options, and determines an average throughput in accordance with the bandwidth option that is selected and the cell range.

Method and apparatus for planning radio frequency spectrum in a wireless network

The present disclosure provides devices, systems, and methods to utilize relative timing offset information reported by one or more mobile devices. When coupled with AGPS information reported by one or more mobile devices, the offset information is be used to calibrate calculations and subsequently to locate all 3G mobiles with GPS-like accuracy, whether or not a GPS receiver is available on said mobile device being located. A determination of a propagation delay between one or more cell sites and a mobile device is reported to a network and used to calibrate unknown information such as a timing offset, to improve the accuracy of a detected location. The relative timing offset can be applied to determine a location for all other mobile devices within the area served by the known base station. The present disclosure utilizes this method in conjunction with information crowd-sourced from a plurality of mobile devices.

Location estimation of a mobile device in a UMTS network

Growing community of inventors

East Brunswick, NJ, United States of America

Gopalakrishnan Meempat