A device may receive a PDCCH signal, may decode encoded bits of the PDCCH signal to generate coded bits, may reencode the coded bits, and may calculate a detection error probability of each coded bit at an output of soft demodulation. The device may calculate a channel decoding error probability that cyclic redundancy check bits are still attached to the coded bits, and may calculate an error probability of channel reencoding, of each coded bit, due to error propagation of polar decoding and reencoding. The device may calculate a probability density of a BMR associated with the coded bits, and may calculate a threshold based on the detection error probability, the channel decoding error probability, the error probability of channel reencoding, and the probability density of a BMR. The device may determine that the PDCCH signal is invalid based on the BMR being greater than the threshold.

Disclosed in some examples are methods, systems, and machine-readable mediums for utilizing context information to create decoding feedback information to improve decoder accuracy and/or performance. In some examples, the context information is from layers of a network stack above the layers in which the decoders are present. The context information may be or be based upon information about previously received and decoded data and/or information about the sender to provide decoding feedback information to the decoder that is used either to correct a previous decoding error or to inform the decoder on which of a plurality of decoding choices is more likely to be correct. This may increase decoding performance by decreasing errors and in some examples, reducing the complexity of choices by eliminating certain decoding possibilities and thus increasing decoder efficiency.

A device may receive a PDCCH signal, may decode encoded bits of the PDCCH signal to generate coded bits, may reencode the coded bits, and may calculate a detection error probability of each coded bit at an output of soft demodulation. The device may calculate a channel decoding error probability that cyclic redundancy check bits are still attached to the coded bits, and may calculate an error probability of channel reencoding, of each coded bit, due to error propagation of polar decoding and reencoding. The device may calculate a probability density of a BMR associated with the coded bits, and may calculate a threshold based on the detection error probability, the channel decoding error probability, the error probability of channel reencoding, and the probability density of a BMR. The device may determine that the PDCCH signal is invalid based on the BMR being greater than the threshold.

Methods, systems, and machine-readable mediums utilizing context information to create decoding feedback information to improve decoder accuracy and/or performance. In some examples, the context information is from layers of a network stack above the layers in which the decoders are present. The context information may be or be based upon information about previously received and decoded data and/or information about the sender to provide decoding feedback information to the decoder that is used either to correct a previous decoding error or to inform the decoder on which of a plurality of decoding choices is more likely to be correct. This may increase decoding performance by decreasing errors and in some examples, reducing the complexity of choices by eliminating certain decoding possibilities and thus increasing decoder efficiency.

Disclosed is a broadcast signal noise removal apparatus for a vehicle. The present embodiment provides a broadcast signal noise removal apparatus for a vehicle, which decodes a bitstream that is received by an electric vehicle through communication with an external transmission device, then re-encodes the bitstream when an error is detected, then decodes a channel status using a weight, determines whether noise has occurred according to whether the error has been detected, and outputs a bitstream after removing wideband noise of the electric vehicle.