Various aspects described herein relate to communicating hybrid automatic repeat/request (HARQ) feedback. HARQ feedback related to a HARQ communication over one or more links can be received from a user equipment (UE), wherein the HARQ feedback includes at least one or more interference parameters and/or one or more predicted interference parameters. A rate control loop for each of one or more interference patterns corresponding to each of the one or more links can be maintained based at least in part on the one or more interference parameters. A scheduling grant can be generated for the UE for another instance of the HARQ communication based at least in part on the rate control loop and the one or more predicted interference parameters.

A method performed by a node in a wireless communication network of estimating parameters used for determining a signal-to-interference measure at a communication device served by a base station, and a node performing the method. The method comprises acquiring an estimate of channel condition between the communication device and the serving base station, and between the communication device and at least one base station of a neighbouring cell, estimating the signal-to-interference measure using the estimate of the respective channel condition, and acquired output power and Physical Resource Block (PRB) utilization of each of the base stations, and receiving an indication of quality of a channel via which the communication device is served by the base station. The method further comprises determining whether a change in the estimate of the signal-to-interference measure is required based on the indication of channel quality, and updating the estimate of the channel condition.

A system, apparatus, computer-readable medium, and computer-implemented method are provided for detecting anomalous behavior in a network. Historical parameters of the network are determined in order to determine normal activity levels. A plurality of paths in the network are enumerated as part of a graph representing the network, where each computing system in the network may be a node in the graph and the sequence of connections between two computing systems may be a directed edge in the graph. A statistical model is applied to the plurality of paths in the graph on a sliding window basis to detect anomalous behavior. Data collected by a Unified Host Collection Agent (UHCA) may also be used to detect anomalous behavior.

Various aspects described herein relate to transmitting hybrid automatic repeat/request (HARQ) feedback. A HARQ communication can be received over a set of one or more links based on a first scheduling grant. One or more interference parameters related to receiving the HARQ communication can be determined as well as one or more predicted interference parameters for a next HARQ communication. HARQ feedback can be transmitted for the HARQ communication including the one or more interference parameters and the one or more predicted interference parameters.

Various example embodiments for supporting forward error correction (FEC) in a communication system are presented. Various example embodiments for supporting FEC in a communication system may include selection of a FEC setting (e.g., an amount of puncturing and/or shortening of a FEC code, a FEC code, or the like) for a communication channel from a transmitter to a receiver based on channel characteristic information of the communication channel from the transmitter to the receiver (e.g., transfer function information, channel loss information, noise characteristic information, error information (e.g., bit error rate, error modeling, or the like), or the like). Various example embodiments for supporting FEC in a communication system, based on selection of a FEC setting for a communication channel based on channel characteristic information of the communication channel, may be applied within various types of communication systems, including various types of wired and/or wireless communication systems.

In one embodiment, a system provides for optimizing an error rate of data through a communication channel. The system includes a data generator operable to generate a training sequence as a Markov code, and to propagate the training sequence through the communication channel. The system also includes a Soft Output Viterbi Algorithm (SOVA) detector operable to estimate data values of the training sequence after propagation through the communication channel. The system also includes an optimizer operable to compare the estimated data values to the generated training sequence, to determine an error rate based on the comparison, and to change the training sequence based on the Markov code to lower the error rate of the data through the communication channel.

Adjustable data rate data communications may be provided. First, a plurality of remote data rates at which a remote device is configured to operate may be received. Then, a plurality of local data rates at which a local device is configured to operate may be received. A greatest one of the plurality of local data rates may comprise a cable data rate comprising a greatest rate supported by a length of cable connecting the local device and the remote device. Next, an operating data rate may be determined. The operating data rate may comprise a highest one of the plurality of local data rates that has a corresponding equivalent within the plurality of remote data rates. The local device may then be operated at the operating data rate.

Various aspects described herein relate to communicating hybrid automatic repeat/request (HARQ) feedback. A HARQ communication can be received over a set of one or more links based on a first scheduling grant. HARQ feedback for the HARQ communication including at least one of HARQ feedback for one or more of the set of one or more links can be transmitted.

A device may receive a first portion of network traffic associated with a flow. The device may perform a first upper layer inspection of the first portion of network traffic associated with the flow. The device may identify a set of parameters of the flow based on performing the first upper layer inspection of the first portion of network traffic associated with the flow. The device may determine, based on the set of parameters, a sampling rate at which to perform a second upper layer inspection of a second portion of network traffic associated with the flow. The device may instruct a lower layer to use the sampling rate to provide the second portion of network traffic associated with the flow for the second upper layer inspection. The device may perform the second upper layer inspection of the second portion of network traffic associated with the flow based on receiving the second portion of network traffic associated with the flow from the lower layer. The device may perform an action with regard to the flow based on a result of performing the second upper layer inspection.

Non-harmful data mimicking computer network attacks may be inserted in a computer network. Anomalous real network connections may be generated between a plurality of computing systems in the network. Data mimicking an attack may also be generated. The generated data may be transmitted between the plurality of computing systems using the real network connections and measured to determine whether an attack is detected.