A converged radio unit (RU) configured for semantic-less retransmissions comprises a radio-frequency machine learning (RFML) radio unit (RFML RU) and a radio-access network (RAN) radio unit (RU). The RFML RU may be configured to receive an RF signal comprising a packet, decode a PHY layer preamble of the packet, and apply a machine-learning (ML) model to information obtained from only the PHY layer preamble to classify the packet. When the packet is classified be a tactical data link (TDL) packet based on the information obtained only from the PHY layer preamble, the RFML RU may retransmit the packet. When the packet is classified a RAN protocol packet, the RFML RU may be configured to signal the RAN RU to process the RAN protocol packet in accordance with a RAN protocol.

Certain aspects of the present disclosure provide techniques for securing physical (PHY) layers in wireless communication. Certain aspects are directed to a method for wireless communication by a user equipment (UE). In some examples, the method includes obtaining a key and using the key during physical layer signal processing of a physical uplink control channel (PUCCH) transmission having more than one symbol to provide security for the PUCCH transmission.

Certain aspects of the present disclosure provide techniques for securing physical (PHY) layers in wireless communication. Certain aspects are directed to a method for wireless communication by a user equipment (UE). In some examples, the method includes obtaining a key and using the key during physical layer signal processing of a physical uplink control channel (PUCCH) transmission having more than one symbol to provide security for the PUCCH transmission.

This disclosure provides a system and method for wireless communication. The system can include a plurality of access points for providing a service. The system can also have a wireless device that can associate and communicate with one or more authorized access points identified by an access controller. The access controller can provide the wireless device with a configuration profile identifying the one or more authorized access points within the plurality of access points. The wireless device can use login credentials to use the service and include additional information associated with the authorized access point in the login credentials when initiating the connection. The access controller can also receive the login credentials and additional information used by the wireless device to initiate the connection with the authorized access point. The access controller can also determine whether the connection is desirable and authorize the connection.

A computer-implementable method employs network signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one network communication protocol. The inferred function is used to map metadata of a detected network signal to a cognitive profile of a transmitter of the detected network signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected network signal. Information content in the network signal can be determined from the inferred function or the cognitive profile without demodulating the network signal.

A computer-implementable method employs network signal metadata to train a cognitive learning and inference system to produce an inferred function, wherein the metadata comprises a syntactic structure of at least one network communication protocol. The inferred function is used to map metadata of a detected network signal to a cognitive profile of a transmitter of the detected network signal. The mapping effects intelligent discrimination of the transmitter from at least one other transmitter through corroborative or negating evidentiary observation of properties associated with the metadata of the detected network signal. Information content in the network signal can be determined from the inferred function or the cognitive profile without demodulating the network signal.

A device (1) controllable by a short-range point-to-point radio frequency signal, e.g. a Bluetooth signal from a mobile device (23), is configured to receive, e.g. from the mobile device and neighboring lighting devices (11-12), one or more signals which comprise the short-range point-to-point radio frequency signal, determine changes in received radio frequency signals from the one or more signals, detect presence, e.g. of a resident (51), based on the changes, determine a control command from the short-range point-to-point radio frequency signal, and execute the control command in dependence on the presence being detected.

A computer-implemented method comprising: receiving, by a first radio frequency (RF) receiving device, an RF data transmission from an RF transmitter; analyzing the received RF data transmission to estimate at least one RF feature; constructing, based on the at least one RF feature, an RF fingerprint of the RF transmitter which is specific to the first RF receiving device; and modifying the RF fingerprint to generate a modified RF fingerprint for use by a second RF receiving device, by applying, to the RF fingerprint, a conversion function reflecting a differential between respective contribution values associated with each of the first and second receiving devices.

A computer-implemented method comprising: receiving, by a first radio frequency (RF) receiving device, an RF data transmission from an RF transmitter; analyzing the received RF data transmission to estimate at least one RF feature; constructing, based on the at least one RF feature, an RF fingerprint of the RF transmitter which is specific to the first RF receiving device; and modifying the RF fingerprint to generate a modified RF fingerprint for use by a second RF receiving device, by applying, to the RF fingerprint, a conversion function reflecting a differential between respective contribution values associated with each of the first and second receiving devices.

A method is disclosed including determining at least one floor detection parameter based on a floor characteristic of a building; using the floor detection parameter in a floor detection process or providing the floor detection parameter for use in a floor detection process. Furthermore, a method is disclosed, including receiving at least one floor detection parameter determined based on a floor characteristic of a building, and using the at least one floor detection parameter in a floor detection process. According apparatuses, computer programs and systems are also disclosed.