A method for beam assignment support comprises obtaining of, in a radio base station, a set of channel gain estimations representing potential transmissions in a set of beams to a user equipment. A set of bias values is obtained, representing connection quality predictions for a respective beam of the set of beams for transmission to the user equipment. The connection quality predictions are estimations calculated from measures of previous traffic load, previous radio quality of transmissions, and/or previous beam assignments of the first transmission reception point. A set of biased channel gain estimations is determined by weighting the channel gain estimations in dependence of respective bias values. A beam assignment based on the biased channel gain estimations is initiated. A method also for determining bias values in a network node as well as radio base stations.

A system described herein may provide a technique for the assignment of Centralized Units (“CUs”) to Distributed Units (“DUs”) in a radio access network (“RAN”) that includes a distributed or hierarchical arrangement of network infrastructure equipment. Different groups of DUs may be modeled based on usage or traffic patterns, and complementary groups of DUs may be identified based on measures of usage that may vary with time. For example, one model associated with one group of DUs may experience relatively heavy usage during morning hours and light usage during evening hours, and another model associated with a complementary group of DUs may experience relatively light usage during morning hours and heavy usage during evening hours.

Systems and methods for deploying computer application workload elements among a plurality of computing resources are described. An elastic workload orchestration architecture includes a workload queue that is configured to receive application workload elements for processing using one or more distributed hybrid application services. The workload elements are evaluated to confirm whether they are properly formatted for deployment among the distributed hybrid application services and, if such confirmation cannot be made, the workload elements are adapted into a proper format. An elastic workload operator then deploys the workload elements to the distributed hybrid application services.

A graph of devices is constructed, each network device serving an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the network devices, each edge of the graph connecting network devices by interference weight, such that edges between connected network devices using different channels have an interference weight of zero, and edges between connected network devices using the same channel have an interference weight denoting an amount of interference between the connected network devices. A cell utilization of each of the network devices is determined according to an amount of traffic served by the respective network device compared to a total of the amounts of bandwidth for all network devices. A vehicle requesting bandwidth is assigned to the one of the network devices having a smallest product of cell utilization and maximum interference weight edge.

Disclosed is a method for updating a list of radio stations that can be received by a receiver system including at least two radio receivers, the method including: ⋅determining a list of radio stations that can be received at a given instant, ⋅measuring the quality of a current radio signal, corresponding to a frequency selected and listened to, ⋅determining the ageing of the list of receivable radio stations, ⋅comparing the quality with a configurable threshold that can be upgraded at least as a function of the ageing of the list, ⋅if the quality exceeds the configurable threshold, deactivating the phase diversity filtering function and evaluating the change in the quality of the received signals and, ⋅as a function of the evaluation:—automatically updating, or—keeping unchanged the list of receivable radio stations.

A traffic demand to be experienced by a base station (BS) at a target time instant is forecasted by obtaining a long-term component of the traffic demand and predicting a short-term component thereof. To predict the short-term component, a service area of the BS is imaged at an observation-making time instant earlier than the target time instant. The number of people captured in the image and located in the service area is determined. The BS collects identifiers of user equipments (UEs), such as media access control (MAC) addresses, to determine the number of UEs present at the observation-making time instant. The short-term component is computed from the number of people and the number of UEs via a mathematical function determined by a genetic algorithm or a machine-learning algorithm according to historical records. The forecasted traffic demand facilitates channel allocation for the BS.

The present disclosure relates to capacity planning methods and apparatus. One example method includes matching a distribution model based on a quantity of service packets in each transmission time interval within specified duration to obtain a matched first distribution model, matching a distribution model based on a length of the service packets to obtain a second distribution model, and performing bandwidth control based on the first distribution model, the second distribution model, a distribution parameter of the first distribution model, and a distribution parameter of the second distribution model.

A method for beam assignment support comprises obtaining of, in a radio base station, a set of channel gain estimations representing potential transmissions in a set of beams to a user equipment. A set of bias values is obtained, representing connection quality predictions for a respective beam of the set of beams for transmission to the user equipment. The connection quality predictions are estimations calculated from measures of previous traffic load, previous radio quality of transmissions, and/or previous beam assignments of the first transmission reception point. A set of biased channel gain estimations is determined by weighting the channel gain estimations in dependence of respective bias values. A beam assignment based on the biased channel gain estimations is initiated. A method also for determining bias values in a network node as well as radio base stations.

Disclosed is a method for updating a list of radio stations that can be received by a receiver system including at least two radio receivers, the method including: determining a list of radio stations that can be received at a given instant, measuring the quality of a current radio signal, corresponding to a frequency selected and listened to, determining the ageing of the list of receivable radio stations, comparing the quality with a configurable threshold that can be upgraded at least as a function of the ageing of the list, if the quality exceeds the configurable threshold, deactivating the phase diversity filtering function and evaluating the change in the quality of the received signals and, as a function of the evaluation:automatically updating, orkeeping unchanged the list of receivable radio stations.

Techniques for managing compute resource usage by virtualized compute instances within a provider network are described. A computer system connected to a provider network hosts one or more compute instances. An agent associated with the computer system obtains per-compute instance resource usage information of computer system resources such as processors, memory, and network interfaces. The agent sends the usage information to a usage management service of the provider network. The usage management service generates usage limits based on the usage information from the agent and on usage targets and sends the usage limits to the computer system. The computer system limits the resource usage of the compute instance based on the usage limits.