Abstract:
A multi-solution based radio system is provided. A radio system adaptively selects a solution to be used in a communication method based on a quality of service (QoS). The radio system estimates a QoS, such as by using information about at least one of a channel state, a signal state, a performance using a current solution, a complexity using a current solution, and a power consumption of a terminal with respect to a current solution. When the estimated QoS does not satisfy a predetermined condition, the radio system changes a current solution to an alternative solution or changes a parameter value applied to the current solution using feedback information.
Abstract:
An apparatus and method for transmitting and receiving data based on a location is disclosed, the apparatus for receiving the data, for example, a data receiver includes a location predictor configured to predict a location of the receiver based on location information of the receiver, a data rate calculator configured to calculate a predicted data rate during an interval based on communication environment information corresponding to the location of the receiver and the predicted location, and a buffer configured to backlog data received in advance based on the predicted data rate.
Abstract:
Provided is a method and apparatus for lattice reduction with reduced computational complexity. The apparatus and method include calculating an R matrix using sorted QR decomposition, and conducting an R-value test using an R-value based on diagonal elements of the R matrix and a threshold value. The R matrix is an upper triangular matrix. The apparatus and method further execute a loop comprising a size reduction and a conditional update of a basis vector corresponding to a column element of the R matrix in response to the R-value being greater than or equal to the threshold value. The apparatus and method conduct another R-value test based on the R matrix comprising the updated basis vector in response to the basis vector being updated.
Abstract:
The present disclosure relates to determining proximity in a smart car system, and a method for operating a vehicle system comprises the steps of: receiving at least one signal transmitted by a user apparatus; transmitting measurement data for the at least one signal to a management apparatus; and receiving updated mapping data from the management apparatus for the measurement data and proximity data.
Abstract:
A method and corresponding apparatus for processing a shuffle instruction are provided. Shuffle units are configured in a hierarchical structure, and each of the shuffle units generates a shuffled data element array by performing shuffling on an input data element array. In the hierarchical structure, which includes an upper shuffle unit and a lower shuffle unit, the shuffled data element array output from the lower shuffle unit is input to the upper shuffle unit as a portion of the input data element array for the upper shuffle unit.
Abstract:
A soft demapping apparatus and method thereof includes a pre-processing unit to pre-process a reception signal obtained from a symbol representing bits. A candidate selection unit selects two candidates from among constellation points included in a constellation for each of the bits. A distance calculation unit calculates a Euclidean distance between the reception signal and the two candidates. A log-likelihood ratio (LLR) calculation unit calculates an LLR with respect to the bits based on the Euclidean distance between the reception signal and the two candidates.
Abstract:
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method for an electronic device according to various embodiments of the present invention comprises the steps of: registering user information and user customized setting information to a security server; detecting a relevant vehicle; and performing authentication in the security server by means of the user information if the relevant vehicle is detected, wherein, if the authentication is valid, the user customized setting information registered to the security server is transmitted to the relevant vehicle. However, the present invention is not limited to the above embodiments, and other embodiments are possible.
Abstract:
Disclosed are a communication method for merging, with IoT technology, a 5G communication system for supporting a data transmission rate higher than that of a 4G system, and a system therefor. The disclosure can be applied to intelligent services (for example, smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety related services, and the like) on the basis of 5G communication technology and IoT-related technologies. According to various embodiments of the disclosure, a method for authenticating a smart key of an electronic device comprises the steps of: transmitting an authentication request in a predetermined cycle; receiving authentication responses from a smart key device; determining whether there is a relay attack on the basis of the interval of the received authentication responses; and authenticating the smart key device when it is determined that there is no relay attack. However, the disclosure is not delimited to the embodiment above, and other embodiments are possible.
Abstract:
A screen operation method for an electronic device based on the electronic device and a control action is disclosed. The electronic device may include an input data receiving module for receiving input data through the device from a user, a unit presentation recognizing module for recognizing a unit presentation from the input data in order to control the electronic device, and a screen controlling module for controlling the screen of the electronic device based on the control action with which the unit presentation is combined.
Abstract:
Provided is a low-density parity-check (LDPC) code decoder and a decoding method. The decoding method may include calculating a message of a variable node (V-node), calculating a message of a check node (C-node), and calculating log-likelihood ratio (LLR) data of a channel using the message of the V-node and the message of the C-node.