The present invention relates to an apparatus and method for filtering advertisements of a target device by using friendly jamming with a beamforming antenna to jam at least one advertisement channel in at least one specific sector of non-target devices. Thus, a master device can easily discover the advertisement of the target device in order to successfully connect to the target device. In addition, since the jamming is performed on advertisement channels only, data connection channels are not disturbed.

There is disclosed an apparatus. The apparatus comprises means for performing: in response to detecting a jamming signal, obtaining a sample waveform of the jamming signal; and sending information of the jamming signal to another apparatus.

A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

A multi-user (MU) multiple-input/multiple-output (MU MIMO) module for a fifth-generation (5G) software-defined radio (SDR) network environment is disclosed. In embodiments, the MU MIMO module of a transmitting SDR system of a 5G mobile ad hoc network (MANET) or other peer-to-peer directional network receives feedback from a receiving SDR system based on a prior or current frame and generates, based on the feedback, a compound transmission security (TRANSEC) encryption key for a subsequent frame. The compound TRANSEC encryption key encrypts the transmission of the subsequent frame through a combination of frequency-hopping encryption codes, orthogonality-hopping encryption codes, and dynamic pseudorandom distribution of transmitting power among antenna elements to simulate multipath hopping. The SDR system may include an antenna controller capable of managing dynamic power distribution according to the compound TRANSEC encryption keys as well as directionality shifts and beamforming operations to evade jammers detected within the 5G network environment.

Method and apparatus for cooperative early threat detection and avoidance in C-V2X. In one aspect, the apparatus detects a threat entity within a threat zone based on data signals received from the threat entity, wherein the threat entity obstructs wireless spectrum or resources utilized in cooperative or automated driving decisions. The apparatus transmits, to at least one second wireless device, a message indicating the threat entity within the threat zone.

A configuration for virtual sensing via sensor sharing for C-V2X scheduling. The apparatus receives, from a first wireless device, a message indicating a threat entity within a threat zone. The threat entity transmits data that interferes with transmission of BSMs. The apparatus determines a candidate resource of a set of candidate resources on which to transmit a BSM based at least in part on the message indicating information related to the threat entity from the first wireless device. The apparatus transmits, to at least a third wireless device, the BSM on a determined candidate resource.

Providing signal-to-noise ratio information to a local transmitter node. A method includes receiving data in a signal transmitted on a data channel from the local transmitter node. A first signal-to-total-power ratio for the signal assuming no jamming of the signal is occurring is computed. A second signal-to-total-power ratio for the signal with factors included assuming jamming is occurring is computed. The first signal-to-total-power ratio to the second signal-to-total-power ratio are compared to determine if they differ by a predetermined amount. The method includes determining that the predetermined amount is exceeded, and as a result, a jammed signal-to-noise ratio is computed assuming jamming is occurring. The jammed signal-to-noise ratio is sent to the local transmitter node to allow the local transmitter to respond to the jammed signal-to-noise ratio.

A method, a node and a detector for detecting an interfering signal in a wireless network communication system comprising a network manager and several nodes, each node (202B) comprising a detector (204) for receiving input signals from at least one antenna, a delay component (205) for delaying a received input signal, and a receiver (206RX) for determining an energy pattern of expected received input signals. The detector (204) is configured to send an alarm signal to the receiver (206RX) depending on the presence or absence of an interfering signal from an interferer 203 and an active/inactive state of the receiver (206RX).

Systems and methods for evaluating link performance over a multitude of frequencies for Signal-to-Noise Ratio (SNR) optimization and mitigating interference. The methods comprise: communicating, from a first communication device, a first signal over a given channel in a given frequency band; receiving, by the first communication device, spectral power measurements and a Signal-to-Total Power Ratio (STPR) estimate determined based on a second signal including the first signal combined with at least one of noise and one or more interference signals (the STPR estimate accounts for the receiver performance including chip rate processing gain and/or the performance of an interference cancellation circuit used to remove the interference signals from the second signal); and determining, by the first communication device, a predicted Signal-to-Noise Ratio (SNR) condition for a plurality of frequencies within the given frequency band using the STPR estimate and the spectral power measurements.

Techniques for determining whether data associated with an autonomous operation of a first unmanned vehicle may be trusted. For example, the first unmanned vehicle may receive an indication related to the data and originating from a second unmanned vehicle over a network. For instance, the indication may indicate that similar data for a similar autonomous operation of the second unmanned vehicle may be untrusted. Based on a level of trust accorded to the indication, the first unmanned vehicle may determine that the data may be untrusted and the autonomous navigation may be directed independently of the data.