A method for classifying tunneled network traffic including: providing at least one model configured to classify network traffic; retrieving a plurality of packets from a traffic flow; determining input and output statistics of the traffic flow based on the plurality of packets; and classifying, via the at least one model, the traffic flow based on the input and output statistics. A system for classifying tunneled network traffic including: a model making module configured to provide at least one model configured to classify network traffic; a packet processing engine configured to retrieve a plurality of packets from a traffic flow; a data collection module configured to determine input and output statistics of the traffic flow based on the plurality of packets; and a classification module configured to classify, via the at least one model, the traffic flow based on the input and output statistics.

Aspects of the subject disclosure may include, for example, determining a coherence block for each user equipment (UE) of a plurality of UEs being served by the first cell, resulting in a plurality of coherence blocks, responsive to the determining, identifying a smallest coherence block from the plurality of coherence blocks, identifying a pilot sequence length based on the smallest coherence block, determining a plurality of orthogonal pilot sequences based on the identifying the pilot sequence length, designating, from the plurality of orthogonal pilot sequences, a first group of orthogonal pilot sequences for use in the first cell, and distributing, to each neighboring cell of a plurality of neighboring cells adjacent to the first cell, a respective group of orthogonal pilot sequences from a remainder of the plurality of orthogonal pilot sequences, to prevent pilot contamination between the first cell and the plurality of neighboring cells. Other embodiments are disclosed.

Described herein is a system and method for testing a computing device, such as a server, to minimize network impact. A computing device that is new or needs to be evaluated, such as an edge server, in a content delivery network may be determined and a sibling edge server which shares a common characteristic with the edge server may be selected. Requests received on the sibling edge server may be collected and filtered to determine a subset of the requests. The subset of the requests are transmitted to the edge server for processing and evaluation.

A method for accurately measuring one or more network performance statistics during one or more sampling periods comprises processing a received data packet to identify flow information and time of arrival; transmitting the data packet, along with metadata comprising the flow information and the time of arrival, to a sample processing module; replaying the reception of the data packet based on the relative speed of the transmission link and the databus and the time of arrival; incrementing a number of bytes received for the data packet for a first sampling period; starting a second sampling period at a predetermined time and incrementing a number of bytes received for the data packet for the second sampling period, if the replaying is not completed. The number of bytes received for the data packet for the first and second sampling periods are processed into first and second sampling period statistics, respectively.

A method for accurately measuring one or more network performance statistics during one or more sampling periods comprises processing a received data packet to identify flow information and time of arrival; transmitting the data packet, along with metadata comprising the flow information and the time of arrival, to a sample processing module; replaying the reception of the data packet based on the relative speed of the transmission link and the databus and the time of arrival; incrementing a number of bytes received for the data packet for a first sampling period; starting a second sampling period at a predetermined time and incrementing a number of bytes received for the data packet for the second sampling period, if the replaying is not completed. The number of bytes received for the data packet for the first and second sampling periods are processed into first and second sampling period statistics, respectively.

Disclosed herein are systems, methods, and devices for time of arrival estimation in wireless systems and devices. Devices include a packet detector configured to identify a data packet included in a received signal having a symbol frequency. Devices also include a time stamping unit configured to generate an initial time stamp in response to the packet detector identifying the data packet. Devices further include an IQ capture unit configured to acquire a plurality of IQ samples representing phase features of the received signal. Devices additionally include a processing unit that includes one or more processors configured to generate an estimated time of arrival based on the initial time stamp and the plurality of IQ samples.

Disclosed herein are systems, methods, and devices for time of arrival estimation in wireless systems and devices. Devices include a packet detector configured to identify a data packet included in a received signal having a symbol frequency. Devices also include a time stamping unit configured to generate an initial time stamp in response to the packet detector identifying the data packet. Devices further include an IQ capture unit configured to acquire a plurality of IQ samples representing phase features of the received signal. Devices additionally include a processing unit that includes one or more processors configured to generate an estimated time of arrival based on the initial time stamp and the plurality of IQ samples.

What is disclosed is a method for efficient capture and streaming of data packets in a network device comprises capturing data packets matching predetermined filters, packaging said data packets into samples, and aggregating one or more samples in a high speed bus payload. The method also comprises transferring said high speed bus payload to a CPU, extracting said samples from the high speed bus payload and storing said samples in a shared memory of the CPU, and accessing said samples from the shared memory for streaming to one or more client.

What is disclosed is a method for efficient capture and streaming of data packets in a network device comprises capturing data packets matching predetermined filters, packaging said data packets into samples, and aggregating one or more samples in a high speed bus payload. The method also comprises transferring said high speed bus payload to a CPU, extracting said samples from the high speed bus payload and storing said samples in a shared memory of the CPU, and accessing said samples from the shared memory for streaming to one or more client.

Provided is a communication apparatus communicating with an external apparatus connected via a network, and the communication apparatus includes a processor and a memory storing program instructions that cause the processor to: calculate a communication interval of data communicated within the communication apparatus; determine whether to perform communication with the external apparatus based on whether the communication interval is within a range set in advance; and transmit, to the external apparatus, communication data including the communication interval determined to perform communication with the external apparatus, latter data in the communication interval, and a transition between former data and the latter data in the communication interval, so that traffic from an apparatus to outside is reduced while suppressing deterioration in detection accuracy of unauthorized communication.