Abstract:
A method of operating a relay station in a wireless communication system is provided. The method includes operating in a first mode comprising a first sub-mode and a second sub-mode, in the first sub-mode a first downlink and a first uplink between a base station and the relay station being simultaneously activated, in the second sub-mode a second downlink and a second uplink between the relay station and a mobile station being simultaneously activated, and operating in a second mode comprising a third sub-mode and a fourth sub-mode, in the third sub-mode the first downlink and the second uplink being simultaneously activated, in the fourth sub-mode the first uplink and the second downlink being simultaneously activated.
Abstract:
A method of a wireless device for transmitting an orthogonal frequency division multiplexing (OFDM) signal based on a reconfigurable intelligent surface (RIS) in a wireless communication system comprises determining a reflection coefficient related to the RIS, and generating the OFDM signal based on the RIS to which the determined reflection coefficient is applied.
Abstract:
The present disclosure is an embodiment of a method for operating a terminal, and the method for operating a terminal in a wireless communication system includes requesting, by the terminal, reference signal (RS) group-related configuration information to a base station, receiving RS group-related configuration information from the base station, learning a first parameter related to a meta-learning learning model based on the RS group-related configuration information, and receiving, by the terminal, a RS from the base station or transmitting a RS to the base station based on the first parameter. The RS group-related configuration information includes pattern information, an identifier and a weight value of at least one of a demodulation-reference signal (DM-RS), a phase-tracking reference signal (PTRS), a channel status information-reference signal (CSI-RS), a positioning reference signal (PRS), a synchronization signal block (SSB), a sounding reference signal (SRS), and a meta-learning RS.
Abstract:
The present invention relates to a wireless communication system and, particularly, to a method and an apparatus therefor, the method comprising the steps of: inputting, into an artificial neural network, (1) a data modulation symbol, (2) information for generating a reference signal sequence, and (3) PAPR margin information, so as to output a complex sequence from the artificial neural network in a frequency domain; generating an OFDM symbol by applying the inverse Fourier transform to the complex sequence; and transmitting the OFDM symbol.
Abstract:
A method by which a first wireless device transmits a signal on the basis of a hybrid automatic repeat request (HARQ) in a wireless communication system, according to one embodiment of the present specification, comprises the steps of: generating a first codeword on the basis of a first polar code; transmitting the first codeword; generating a second codeword on the basis of a second polar code; and transmitting the second codeword.
Abstract:
The present specification provides a method for transmitting/receiving a signal in a wireless communication system by using an auto encoder. More specifically, the method performed by means of a transmission end comprises the steps of: encoding at least one input data block on the basis of a pre-trained transmission end encoder neural network; and transmitting a signal to a reception end on the basis of the encoded at least one input data block, wherein each of activation functions included in the transmission end encoder neural network receives only some of all input values that can be input into each of the activation functions.
Abstract:
The present disclosure relates to a neural-network-transmitter-based method by which a base station transmits control information in a wireless communication system, comprising: receiving a random access preamble from a terminal; transmitting a random access response to the terminal in response to the random access preamble; and transmitting control information to the terminal through a neural network transmitter on the basis of the type and the weight of a control channel through which the control information is to be transmitted, wherein the weight is set as a number of different weights that is the same as the number of repeated transmissions of a physical broadcast channel (PBCH) if the control channel is the PBCH, and the weight is set on the basis of a maximum aggregation level (AL) if the control channel is a physical downlink control channel (PDCCH).
Abstract:
The present disclosure relates to a method and a device for transmitting uplink control information on the basis of a neural network, the method comprising: transmitting a random access preamble to a base station; receiving a random access response from the base station in response to the random access preamble; receiving configuration information from the base station; and transmitting UCI to the base station on the basis of a neural network transmitter, wherein the configuration information indicates a transmission resource allocated for the transmission of the UCI and the number of terminals using the transmission resource, a terminal determines a weight related to the transmission of the UCI on the basis of the number of the terminals, and a sequence for the UCI transmitted by the terminal is non-orthogonal to a sequence of UCI transmitted by each of the terminals remaining after excluding the terminal from the terminals.
Abstract:
According to the present specification, it is possible to design a transmitter and a receiver configured in a neural network through end-to-end optimization. In addition, it is possible to design a neural network encoder capable of improving the distance characteristic of a codeword. Furthermore, proposed is a method for signaling information about neural network parameters of a neural network encoder and a neural network decoder.
Abstract:
A method of transmitting and receiving data in a wireless communication system and a device therefor are disclosed. Specifically, the method performed by a user equipment (UE) may comprise transmitting, to a base station, capability information including (i) first information indicating a decoding level of the UE and (ii) second information indicating whether a machine learning is possible, receiving decoding level information from the base station based on the first information, and receiving the downlink data from the base station based on the decoding level information and the second information.