A communication system includes a first device configured to transmit first data, a second device, a third device, a fourth device, and a storage device configured to store correspondence information, and when the second device is in the first state, the second device transmits the first data to the address of the third device, and when the second device is in the second state, the second device transmits the first data to the fourth device, the second device notifies the fourth device of the address of the second device, the fourth device receives the first data and notifies the storage device of the address of the second device, the storage device notifies the fourth device of the address of the third device associated with the address of the second device based on the correspondence information, and the fourth device transmits the first data to the address of the third device.

Provided are a communications apparatus including an LTE central node including at least a pair of radio base stations, a processor, and at least a pair of virtualized cores respectively and operatively connected with the pair of radio base stations, each radio base station and each core being configured together on a separate, common platform and forming a base station and core set, and each base station and core set being configured to selectively coordinate communications traffic; and, in a radio access network (RAN), a communications method including receiving a first signal at a central node comprising at least a pair of radio base station and virtualized core sets, in which each set is formed as a system on a chip (SoC), and transmitting a second signal, based on the first signal, each base station and core set being configured to selectively coordinate communications traffic.

This disclosure relates to a system and method for dynamically managing load on network devices in a distributed manner. As the proliferation of data rich content and increasingly more capable mobile devices has continued, the amount of data communicated over mobile operator's networks has exponentially increased. Upgrading the existing network to accommodate increased data traffic is neither desirable nor practical. One way to accommodate increased data traffic is by utilizing network resources more efficiently. This disclosure provides systems and methods for efficiently utilizing network resources by dynamically configuring the network in a distributed manner based on real-time load information.

An information processing device including: a processor configured to: determine a priority degree of each of a plurality of communication terminals based on service information indicative of a service utilizable by each of the plurality of the communication terminals, the more number of service utilizable by a communication terminal the higher priority degree of the communication terminal, for each communication terminal selected in descending order of the priority degree, identify at least one of a plurality of relay apparatuses capable of being utilized by the communication terminal based on the service information, select a relay apparatus to provide the service to the communication terminal from the at least one of the plurality of relay apparatus based on load information indicative of load applied to each relay apparatus.

A method for updating network function profiles in a telecommunications network includes registering, by a producer network function, a network function profile with a network function repository function (NRF), the network function profile specifying at least one serving scope or discoverable parameters by consumer NFs. The method includes determining that a load level of the producer network function has exceeded a first threshold. The method includes, in response to determining that the load level of the producer network function has exceeded the first threshold, updating the network function profile at the NRF to reduce the serving scope.

A communication aggregation system according to an exemplary embodiment of the invention includes a plurality of devices (3) to (6) that transmit a larger amount of data when an abnormality is found compared with the amount of data transmitted in normal times, a gateway device (1) that communicates with devices included in a first group out of a plurality of devices, a gateway device (2) that communicates with devices included in a second group, and a control device (7) that, when the amount of data transmitted from some device increases due to detection of an abnormality and a difference in processing loads between the gateway devices exceeds a first threshold, changes a group to which at least one device out of the plurality of devices (3) to (6) belongs so that a difference in the processing loads falls below a second threshold.

The subject matter described herein relates to methods, systems, and computer readable media for test system connection resiliency. In some examples, a method for distributing monitored network traffic includes monitoring S1-MME traffic and S6a traffic in a core network of a telecommunications network. The method includes decrypting encrypted S1-MME traffic using information extracted from the S6a traffic. The method includes load balancing between a plurality of monitoring nodes using the decrypted S1-MME traffic.

A method of managing network traffic in a telecommunications network, the telecommunications network having a plurality of network slices and a User Equipment (UE), wherein the UE is allocated to a first network slice for processing a network communication from the UE, the method comprising the steps of: monitoring a suitability of the first network slice to process the network communication; identifying a second network slice that is suitable for processing the network communication; and in response to identifying a lack of suitability of the first network slice to process the network communication, redirecting the network communication to the second network slice whilst the UE remains registered with the first network slice.

When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).

A controller that processes signals in a baseband frequency band is described. The controller includes a plurality of processing engines (PEs). The controller also includes a distributor/load balancer that includes at least one processor or processing core. The at least one processor or processing core is configured to (1) enter a first mode in which each new UE session is assigned to a PE that is currently processing a fewest number of UE sessions; (2) determine whether a processing load differential between a least loaded PE and a highest loaded PE exceed a first threshold for at least a time threshold; and (3) in response to the processing load differential between the least loaded PE and the highest loaded PE exceeding the first threshold for at least the time threshold, enter a second mode in which each new UE session is assigned to the least loaded PE.