Embodiments described herein provide an optimal communication channel recommendation engine by assessing whether the environment the customer is situated in is conducive to the channel selected by the customer. Specifically, the optimal channel recommendation engine obtains data artifacts indicative of ambient noise, motion, customer sentiment, network quality, customer focus, and/or the like to assess quality of the environment and recommend an optimal channel for the communication between the customer and the call agent. With the recommendation to switch to a different channel, the client component resumes communication with the new channel and retains the context of the interaction.

Methods and systems are disclosed which can perform cable characterization at link-up and during in-service monitoring to provide the best data throughput. In some embodiments a plurality of frequency tones may be sent across a cable to a remote system. A plurality of return loss values associated with sending the plurality of frequency tones may then be measured and stored. Next, a crosstalk value across the cable may be computed. A quality value for the cable may then be determined based on at least the plurality of return loss values and the crosstalk value.

A method for adjusting a sending rate in a near-field communication scenario includes obtaining, by a sending device, transport layer information of a connection between the sending device and a receiving device, physical layer channel information of a transmit link on which the sending device is located, and physical layer channel information of a receive link on which a receiving device of the data is located, and adjusting a sending rate of a transport layer of the sending device based on the transport layer information, the physical layer channel information of the transmit link, and the physical layer channel information of the receive link.

One example method occurs at a test system implemented using at least one processor, the method comprising: sending, via an application programming interface (API) and to a first traffic generator, a first instruction for setting a rate of background test packets sent to or via a system under test (SUT) for a test session; sending the background test packets to or via the SUT during the test session; receiving, from at least one feedback entity, feedback indicating at least one traffic metric associated with the background test packets sent to or via the SUT during the test session; generating, using the feedback, a second instruction for adjusting the rate of background test packets sent during the test session; and providing, via the API and to the first traffic generator, the second instruction for adjusting the rate of background test packets sent to or via the SUT during the test session.

Systems and methods of providing a V2X communications are generally described. A geographically-limited, operator-independent mapping table is used that maps between groups of V2X applications each associated with a different application category and a different RAT preferred for the V2X application category. Each grouping is based on fulfillment of one or more KPIs for the associated V2X application category. Multiple RATs are prioritized if able to fulfill the KPIs. The mapping table is modified based on the RATs supported by the V2X UE. Carrier aggregation is used when simultaneous transmission on different RATs is desired.

In an example, a computer-implemented method includes generating test data that is configured to be identified as data of interest at one or more visibility points in a network having a plurality of network routes. The method also includes injecting the test data into each network route of the plurality of network routes at a location upstream from the one or more visibility points, and determining, for each network route through which the test data travels, whether the test data is identified at the one or more visibility points. The method also includes outputting, for each network route through which the test data travels, data that indicates whether the test data is identified at the one or more visibility points as data of interest.

An approach for detecting anomalous flows in a network using header field entropy. This can be useful in detecting anomalous or malicious traffic that may attempt to “hide” or inject itself into legitimate flows. A malicious endpoint might attempt to send a control message in underutilized header fields or might try to inject illegitimate data into a legitimate flow. These illegitimate flows will likely demonstrate header field entropy that is higher than legitimate flows. Detecting anomalous flows using header field entropy can help detect malicious endpoints.

Optimal determination of wireless network pathway configurations may be provided. A computing device may establish Multi-Access Point (AP) coordination between at least a first AP and a second AP. The first AP can determine an uplink operation is scheduled. When an uplink is scheduled, the first AP can switch its antenna to a narrow beamwidth. The first AP can then receive uplink transmissions from at least a client in the coverage area of the narrow beamwidth. After the uplink transmission, the first AP can then switch the antenna to a larger beamwidth for a next Multi-AP coordination operation.

Traffic redirection methods include determining a quality-affective factor comprising a quality-affective factor in an existing connection between a client and a server in a network. The quality-affective factor is compared to a threshold to determine whether the connection would benefit from a network processing function. A router is reconfigured to exclude the middlebox from the connection, if the connection would not benefit from the network processing function and if the middlebox is already present in the connection, to cease operation of the middlebox on the connection. The router reconfiguration is delayed until the connection is idle.

An apparatus acquires time-series information that stores information on a packet transmitted and received between a first apparatus and a second apparatus in association with a time at which the packet is transmitted or received. The apparatus estimates a window size indicating an amount of data that a receiver of the data is able to accept without acknowledging a sender of the data, based on the acquired time-series information, and, based on temporal change in the estimated window size, determines a type of congestion control being executed by the first apparatus, from among a plurality of candidate types of congestion control.