Abstract: Provided are a deep learning-based beamforming communication system and method, wherein in an indoor environment using millimeter wave communication, in response to reference signals transmitted from a base station to at least one user terminal, reference signal received power and location information for each user terminal location are received from each user terminal and a fingerprint DB is constructed, and from the constructed fingerprint data, a user model is constructed on the basis of reference signal received power for each user terminal location and a blockage model is constructed on the basis of reference signal received power according to each blockage located between the base station and the user terminal.

Abstract: Provided are a deep learning-based beamforming communication system and method, wherein in an indoor environment using millimeter wave communication, in response to reference signals transmitted from a base station to at least one user terminal, reference signal received power and location information for each user terminal location are received from each user terminal and a fingerprint DB is constructed, and from the constructed fingerprint data, a user model is constructed on the basis of reference signal received power for each user terminal location and a blockage model is constructed on the basis of reference signal received power according to each blockage located between the base station and the user terminal.

Abstract: A fingerprint-based beam interference cancellation system and a method thereof are proposed.

Abstract: Disclosed is an adaptive transmission method for a vehicular communication system, that is, a method of randomly allocating resources in a time domain and a frequency domain to perform vehicular communication in a Long-Term Evolution (LTE)-based vehicle to everything (V2X) system and determining whether to transmit messages according to a transmission probability such that it is possible to improve cumulative distribution functions (CDFs) of packet reception ratios (PRRs) and average PRRs by decreasing interference between vehicles.

Abstract: Disclosed is an adaptive transmission method for a vehicular communication system, that is, a method of randomly allocating resources in a time domain and a frequency domain to perform vehicular communication in a Long-Term Evolution (LTE)-based vehicle to everything (V2X) system and determining whether to transmit messages according to a transmission probability such that it is possible to improve cumulative distribution functions (CDFs) of packet reception ratios (PRRs) and average PRRs by decreasing interference between vehicles.

Abstract: The present disclosure relates to a machine to machine (M2M) system, method and server using a Social Network Service (SNS). The M2M communication server receives control information of a first M2M apparatus from a second M2M apparatus that receives the control information through an SNS interface, converts the control information into a command that is recognizable by the first M2M apparatus, and transmits the command to the first M2M apparatus such that the second M2M apparatus receives information corresponding to the command. Accordingly, a human, as a user, communicates with an M2M apparatus, easily controls the M2M apparatus, and acquires information by use of a Social Network Service (SNS) interface that is familiar to the human.

Abstract: Provided is a method of analyzing performance according to inter-cell interference control based on coordinated multipoint (CoMP) communication in a heterogeneous network (HetNet) to check that performance is enhanced by applying a variety of scheduling and pre-coding based on the CoMP communication in a HetNet environment of a Long Term Evolution-Advanced system to analyze the performance. The method applies a variety of scheduling and pre-coding based on coordinated beamforming scheme of CoMP communication technology, where the scheduling includes coordinated scheduling technique and the precoding includes QR decomposition, Tomlinson-Harashima precoding, polar decomposition, and singular value decomposition techniques, and compares and analyzes performances when there are only macrocells or when there are picocells at the boundaries of the macrocells, thereby checking that the gain is enhanced.

Abstract: Provided is a method of measuring a terminal position using a tag and a terminal thereof. A first terminal measures a first position by reading a tag having a predetermined position, and a position change is continuously detected using a sensor to measure a changed second position. When the first terminal or a second terminal wirelessly communicates each other, communication power strength is gradually changed, minimum communication power strength capable of communicating is measured, and the first or second terminal measures a third position of the second terminal based on the second position in consideration of a communication range according to the minimum communication power strength. As a result, it is possible to accurately determine a terminal position.

Abstract: Provided is a method of analyzing performance according to inter-cell interference control based on coordinated multipoint (CoMP) communication in a heterogeneous network (HetNet) to check that performance is enhanced by applying a variety of scheduling and pre-coding based on the CoMP communication in a HetNet environment of a Long Term Evolution-Advanced system to analyze the performance. The method applies a variety of scheduling and pre-coding based on coordinated beamforming scheme of CoMP communication technology, where the scheduling includes coordinated scheduling technique and the precoding includes QR decomposition, Tomlinson-Harashima precoding, polar decomposition, and singular value decomposition techniques, and compares and analyzes performances when there are only macrocells or when there are picocells at the boundaries of the macrocells, thereby checking that the gain is enhanced.

Abstract: The present disclosure relates to a machine to machine (M2M) system, method and server using a Social Network Service (SNS). The M2M communication server receives control information of a first M2M apparatus from a second M2M apparatus that receives the control information through an SNS interface, converts the control information into a command that is recognizable by the first M2M apparatus, and transmits the command to the first M2M apparatus such that the second M2M apparatus receives information corresponding to the command. Accordingly, a human, as a user, communicates with an M2M apparatus, easily controls the M2M apparatus, and acquires information by use of a Social Network Service (SNS) interface that is familiar to the human.