Abstract: A scheme for identifying wireless devices by capturing out-of-band information in addition to in-band information from wireless devices for enabling accurate classification of wireless devices. Both the in-band and out-of-band spectrum emissions of the received signal are used to capture hardware signatures and features. These hardware signatures are used to discriminate different wireless devices uniquely and efficiently, even when the devices have the same hardware with significantly reduced distortions. The out-of-band information can be extracted using radios with software defined capabilities. Deep learning-based device classification technique is applied that uses IQ samples collected from the RF signals to efficiently identify and classify high-performing transmitters that have the same, minimally distorted hardware components.

Abstract: An apparatus is provided which comprises: logic to privately compare one or more received Order Preserving Encrypted (OPE) signal strength (RSS) values, from a plurality of secondary users (SUs), with a OPE threshold value; a transmitter to send the comparison result to a fusion center (FC); and a receiver to receive the OPE threshold value from the FC.

Abstract: A scheme for identifying wireless devices by capturing out-of-band information in addition to in-band information from wireless devices for enabling accurate classification of wireless devices. Both the in-band and out-of-band spectrum emissions of the received signal are used to capture hardware signatures and features. These hardware signatures are used to discriminate different wireless devices uniquely and efficiently, even when the devices have the same hardware with significantly reduced distortions. The out-of-band information can be extracted using radios with software defined capabilities. Deep learning-based device classification technique is applied that uses IQ samples collected from the RF signals to efficiently identify and classify high-performing transmitters that have the same, minimally distorted hardware components.

Abstract: An apparatus is provided which comprises: logic to privately compare one or more received Order Preserving Encrypted (OPE) signal strength (RSS) values, from a plurality of secondary users (SUs), with a OPE threshold value; a transmitter to send the comparison result to a fusion center (FC); and a receiver to receive the OPE threshold value from the FC.

Abstract: An apparatus is provided which comprises: logic to privately compare one or more received Order Preserving Encrypted (OPE) signal strength (RSS) values, from a plurality of secondary users (SUs), with a OPE threshold value; a transmitter to send the comparison result to a fusion center (FC); and a receiver to receive the OPE threshold value from the FC.

Abstract: An apparatus is provided which comprises: logic to privately compare one or more received Order Preserving Encrypted (OPE) signal strength (RSS) values, from a plurality of secondary users (SUs), with a OPE threshold value; a transmitter to send the comparison result to a fusion center (FC); and a receiver to receive the OPE threshold value from the FC.

Abstract: An access point station responds to a request from a user station for contention-based access of a new traffic flow to a wireless transmission medium by applying a model of the wireless local area network to estimate delay that data packets will experience when delivered through the wireless network, in order to admit the new flow upon determining that admission will not violate quality of service requirements of neither the new flow nor of already admitted flows. For example, the access point station applies the model by determining an average packet inter-arrival rate, solving a system of nonlinear equations to determine probabilities of successful transmission, applying network stability conditions, computing an upper bound on queuing delay for the packets, computing a service delay budget for the packets, and computing an expected fraction of missed packets from the service delay budget.

Abstract: An access point station responds to a request from a user station for contention-based access of a new traffic flow to a wireless transmission medium by applying a model of the wireless local area network to estimate delay that data packets will experience when delivered through the wireless network, in order to admit the new flow upon determining that admission will not violate quality of service requirements of neither the new flow nor of already admitted flows. For example, the access point station applies the model by determining an average packet inter-arrival rate, solving a system of nonlinear equations to determine probabilities of successful transmission, applying network stability conditions, computing an upper bound on queuing delay for the packets, computing a service delay budget for the packets, and computing an expected fraction of missed packets from the service delay budget.