Abstract: A device and a method for channel estimation using a short/long-term memory network in a millimeter-wave (mmWave) communication system are provided. The channel estimation method includes the operations of inputting a received pilot signal of a time slot to a long short-term memory network, extracting a time-varying channel feature embedding vector by estimating a change state of a channel by using the received pilot signal of the time slot as an input in the long short-term memory network, estimating a parameter of a channel model by using the time-varying channel feature embedding vector as an input in a fully connected network, and estimating a channel for the received pilot signal of the time slot, using the parameter of the channel model.

Abstract: Embodiments of the present disclosure provide an active terminal detection method and an active terminal detection device that increase the performance of determining whether a terminal is active by designing a spread code to reduce a cross-correlation value of the spread code of a terminal with a high activation frequency in a massive machine-type communication environment by using deep learning.

Abstract: A smoke detector unit with a fan that creates an airstream which flows through a smoke detector. Both the fan and the smoke detector are located within a housing that is mounted to the fuselage of an airplane. The smoke detector generates an output signal that is provided to an indicator when a threshold level of smoke is detected. The output signal is typically latched by a relay that is also located within the housing.