Abstract:
A speed tier based pricing scheme is utilized to increase average revenue per user (ARPU) for fixed wireless applications. To offer a speed tier based pricing scheme, a radio environment at a location of Customer Premise Equipment (CPE) and/or data associated with cell sites serving the location can be analyzed to estimate a maximum data rate that can be delivered to the user CPE with a high confidence. Based on the estimated data rate, one or more speed tiers that can be offered to the customer for subscription. Further, based on an analysis of observed network usage and/or traffic demand per customer location with reference to the speed-tier classes subscribed to by existing customers, the network can efficiently plan for on-boarding new customers and/or network expansion.
Abstract:
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.
Abstract:
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 for mobility traffic and fixed wireless traffic, a physical characteristic of an antenna in the geographical area, and a type of connectivity at a customer premise, determines a busy time data traffic from the network traffic data for both the fixed wireless traffic and the mobility traffic, determines, for the cell, a cell range from the physical characteristic of the antenna and the type of connectivity at the customer premise, 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, wherein the average throughput comprises a throughput for serving both the mobility traffic and the fixed wireless traffic.
Abstract:
Dynamic metro cell location planning is provided within the wireless communication coverage area of a macro cell. Metro cell location planning can include obtaining performance parameters associated with the macro cell and evaluating coverage parameters of the macro cell. Metro cell location planning can also include selecting, based on the performance parameters and the coverage parameters, a location within a wireless communication coverage area of the macro cell for placement of the metro cell. The selected location can be conveyed to a user and/or entity for deployment of the metro cells. Metro cells can be used by a carrier to fill a coverage hole and/or to offload capacity hot-spots within the network.
Abstract:
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.
Abstract:
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.
Abstract:
Aspects of the subject disclosure may include, for example, obtaining first information indicative of data plane utilization, wherein the data plane is associated with a wireless communications network; obtaining second information indicative of control plane utilization, wherein the control plane is associated with the wireless communications network; applying the first information and the second information to one or more machine learning algorithms; and generating via the one or more machine learning algorithms one or more outputs, wherein the one or more outputs indicates whether one or more network resources should be added to improve the data plane utilization. Other embodiments are disclosed.
Abstract:
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.
Abstract:
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.
Abstract:
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.