Abstract: A wireless communication system includes: a transmission apparatus that transmits a wireless signal including a plurality of wireless transmission signals, by using a plurality of transmitting antenna elements; and a reception apparatus that receives the wireless signal, as a plurality of wireless reception signals, by using a plurality of receiving antenna elements. The reception apparatus generates a plurality of separated reception signals by performing a signal separation process on the plurality of wireless reception signals, generates correlation information about the separated reception signals, and generates phase control information on the basis of the correlation information. The transmission apparatus generates the plurality of synthesized transmission signals by performing the signal synthesis process on the plurality of transmission signals, and adjusts the phase of each of the synthesized transmission signals, by a phase shift amount calculated on the basis of the phase control information.

Abstract: A symbol constellation generation apparatus (2000) acquires specification information (10) of the optical communication system (100). The symbol constellation generation apparatus (2000) uses a first prediction model (50) to generate noise characteristics information (20) based on the specification information (10). The symbol constellation generation apparatus (2000) uses a second prediction model (60) to generate symbol constellation (30) suited to the optical communication system having the noise characteristics represented by the noise characteristics information (20).

Abstract: In a radio transmission device, an orthogonal frequency division multiplexing (OFDM) signal forming unit forms an OFDM signal by arranging pilot signals according to a pilot arrangement pattern. According to the pilot arrangement pattern, among a plurality of pilot arrangement subcarriers with an NPilot_Freq-subcarrier interval, in a plurality of first pilot arrangement subcarriers with an NPilot_SPA-subcarrier interval, pilot signals for phase noise estimation are arranged in all resource elements. An information symbol and a pilot symbol are mapped to different resource elements. Among the plurality of pilot arrangement subcarriers with the NPilot_Freq-subcarrier interval, in a plurality of second pilot arrangement subcarriers excluding the plurality of first pilot arrangement subcarriers, the pilot signals for phase noise estimation are arranged in a cycle of NPilot_Time resource elements in the time domain.

Abstract: A parameter determination apparatus (2) includes: a first learning device (2111) learning a weight between a [j?1]-th layer (j is an integer that satisfies a condition that “2?j?the number of the layer”) and a [j]-th layer to which an output of the [j?1]-th layer is inputted among a plurality of layers of a neural network; a selecting device (2112) selecting at least one valid path for each node included in the [j]-th layer from a plurality of connection paths that connect nodes in the [j?1]-th layer and nodes in the [j]-th layer, respectively, on the basis of the weight learned by the first learning device; and a second learning device (2113) learning at least one of the weight and a bias as the parameters relating to a network structure between the [j?1]-th layer and the [j]-th layer on the basis of the sample signal, the label signal and the valid path.

Abstract: A MAC tag list generation apparatus includes: a message input part; a group testing matrix generation part which generates a t×m group testing matrix H that is a parameter(s) of combinatorial group testing with respect to the number s (s being a positive integer) of the MACs to be generated, a decodable linear group testing MAC application part which, with respect to the message M, using the group testing matrix H, a variable-length-input fixed-length-output pseudorandom function F; and a Tweakable block cipher G for which a row index of the group testing matrix H is a Tweak, generates a MAC tag list T=(T[1], . . . , T[t]); and a MAC tag list output part which outputs the MAC tag list.

Abstract: In order to achieve both of reduction of peak power and reduction of a transmission rate, an apparatus includes a reception processing unit configured to receive transmission signals from a transmission apparatus, the transmission apparatus performing precoding processing and clipping processing on the transmission signals and outputting a plurality of the transmission signals simultaneously in an identical frequency band; a signal separating unit configured to separate reception data sets from the transmission signals; and a transmission signal estimating unit configured to estimate a signal distortion component and a noise component due to the clipping processing and an interference component between the transmission signals, based on the reception data sets and gain information related to a channel for transmitting the transmission signals, and estimate transmission data sets by removing the signal distortion component, the noise component, and the interference component being estimated from the reception

Abstract: A MAC tag list generation apparatus, on reception of a nonce N unique value to each MAC generation process and a message M, generates a t×m group test matrix H serving as combinatorial group testing parameters for s (a positive integer) which is the number of the MACs to be generated, generates a MAC tag list T=(T[1], . . . , T[t]) by generating a MAC value T[i] corresponding to the i-th test (i=1, . . . , t) using the group test matrix H, the nonce N, and pseudorandom functions F and G with variable length input and fixed length output for the message M, and outputs the MAC tag list.

Abstract: A communication system SYS includes a transmission apparatus 1 and a reception apparatus 2. The transmission apparatus includes: a conversion unit 111 for converting a bit stream Z having a bit length b into a bit stream Y that has w?1 (w is an integer equal to or larger than 2) bit 1 and that has a bit length n (n>b); a conversion unit 112 for converting the bit stream Y into a bit stream X having a bit length t (t<n); and a Neural Network 113 that has a t input node and that outputs a value relating to a feature of a transmission signal Tx when the bit stream X is inputted thereto.

Abstract: An apparatus performs a discrete Fourier transform process on M×N received signal components included in a received signal, by a unit of N received signal components; and estimates an estimated signal containing M×N estimated signal components, which are estimated values of M×N transmission signal components, on the basis of the received signal on which the discrete Fourier transform process is performed. When the estimated signal xe is newly estimated, the apparatus performs an exclusion operation of excluding an estimated value xe(k) of the M transmission signal components that constitute a k-th transmission signal group from the estimated signal xe newly estimated, and updates the estimated value xe(k) based on an intermediate signal xt(k) obtained by the exclusion operation and the received signal, thereby re-estimating the estimated signal xe.

Abstract: A signal estimation apparatus classifies reception signal components included in a reception signal y and transmission signal components included in a transmission signal into a plurality of signal groups in accordance with a degree of a correlation between the reception signal component and the transmission signal component, on the basis of system information, sets, for each signal group, parameters ?, ?, ? and ? that specifies a detail of a signal estimation method to be either one of a learned value that is learnable by a learning operation and a fixed value that is independent from the learning operation, and estimates, for each signal group, an estimation signal xe that is an estimated value of the transmission signal from the reception signal by using the signal estimation method specified by the set parameter.

Abstract: In order to achieve both of reduction of peak power and reduction of a transmission rate, an apparatus includes a reception processing unit configured to receive transmission signals from a transmission apparatus, the transmission apparatus performing precoding processing and clipping processing on the transmission signals and outputting a plurality of the transmission signals simultaneously in an identical frequency band; a signal separating unit configured to separate reception data sets from the transmission signals; and a transmission signal estimating unit configured to estimate a signal distortion component and a noise component due to the clipping processing and an interference component between the transmission signals, based on the reception data sets and gain information related to a channel for transmitting the transmission signals, and estimate transmission data sets by removing the signal distortion component, the noise component, and the interference component being estimated from the reception

Abstract: A parameter determination apparatus (2) includes: a first learning device (2111) learning a weight between a [j?1]-th layer (j is an integer that satisfies a condition that “2?j?the number of the layer”) and a [j]-th layer to which an output of the [j?1]-th layer is inputted among a plurality of layers of a neural network; a selecting device (2112) selecting at least one valid path for each node included in the [j]-th layer from a plurality of connection paths that connect nodes in the [j?1]-th layer and nodes in the [j]-th layer, respectively, on the basis of the weight learned by the first learning device; and a second learning device (2113) learning at least one of the weight and a bias as the parameters relating to a network structure between the [j?1]-th layer and the [j]-th layer on the basis of the sample signal, the label signal and the valid path.

Abstract: A communication apparatus for forward error correction and detection using polar codes comprising a polar encoder that encodes an input vector to output a codeword using a generator matrix of polar code wherein the input vector is a cyclic redundancy check (CRC) codeword of an information block; a memory that stores a frozen set including frozen bit indices and a non-frozen set including non-frozen bit indices sorted in order of error probabilities; and a controller that is configured to take as input the CRC codeword where CRC bits appended to the end of information block and interleave the CRC codeword using at least one of a first interleaver and second interleaver before feeding the CRC codeword to polar encoder such that the first interleaver places at least one CRC bit earlier than its original position in the CRC codeword and a second interleaver selects at least one bit from the CRC codeword whose corresponding index in a parity check matrix of the CRC code has the highest column weight and puts it in

Abstract: An object is to provide a sorting device, a selecting system, a sorting method, and a program capable of preventing a decrease in processing speed and an increase in the number of processing steps. The sorting device includes a rank computation device (101) that performs, in parallel, comparisons of numerical data Dk (k is an integer from 0 to n?1) included in numerical data D0 to Dn-1 (n is an integer of 1 or more) with each of the numerical data D0 to Dn-1 excluding the numerical data Dk, and computes a rank indicating a value level of the numerical data Dk in the numerical data D0 to Dn-1 by using each comparison result, and a selection device (102) that rearranges the numerical data D0 to Dn-1 in order on the basis of ranks of the numerical data D0 to Dn-1.

Abstract: A modulation apparatus capable of performing highly efficient multiplexing of pilot signals used for equalization and estimation of phase noises for LOS-MIMO (Line Of Sight-Multiple Input Multiple Output) using a single-carrier signal is provided. The modulation apparatus (10) includes means (11) for transforming a time-domain pilot signal sequence into a first number of frequency-domain signals corresponding to a sequence length of the pilot signal sequence, means (12) for mapping the first number of frequency-domain signals at the same number of subcarrier intervals as a number of transmitting antennas of the modulation apparatus by shifting mapping positions of heads of the frequency-domain signals one after another by an amount equivalent to one subcarrier so that the frequency-domain signals do not overlap each other, and means (13) for transforming the mapped frequency-domain signals into time-domain signals.

Abstract: A redundant bit generating device that generates redundant bits for error detection, that are added to a block of information bits, includes: a redundant bit calculation function that generates a predetermined number of redundant bits from the information bits according to a CRC polynomial; and a bit interleaving function that dispersedly arranges the predetermined number of redundant bits within the information bits using a permutation pattern determined based on the CRC polynomial.

Abstract: A MAC tag list generation apparatus includes: a message input part; a group testing matrix generation part which generates a t×m group testing matrix H that is a parameter(s) of combinatorial group testing with respect to the number s (s being a positive integer) of the MACs to be generated, a decodable linear group testing MAC application part which, with respect to the message M, using the group testing matrix H, a variable-length-input fixed-length-output pseudorandom function F; and a Tweakable block cipher G for which a row index of the group testing matrix H is a Tweak, generates a MAC tag list T=(T[1], . . . , T[t]); and a MAC tag list output part which outputs the MAC tag list.

Abstract: A decoding apparatus includes a multi-input branch metric calculation unit configured to calculate, by using a branch label corresponding to a path extending toward a state S at a time point N in a trellis diagram and a plurality of reception signal sequences, a branch metric in the state S, a path metric calculation unit configured to calculate a path metric in the state S at the time point N, and a surviving path list memory configured to store path labels corresponding to L path metrics among a plurality of calculated path metrics. The path metric calculation unit generates a path label in the state S at the time point N by combining the branch label with a path label in each of the states at the time point N?1 and the surviving path list memory outputs path labels corresponding to L path metrics.

Abstract: A signal estimation apparatus classifies reception signal components included in a reception signal y and transmission signal components included in a transmission signal into a plurality of signal groups in accordance with a degree of a correlation between the reception signal component and the transmission signal component, on the basis of system information, sets, for each signal group, parameters ?, ?, ? and ? that specifies a detail of a signal estimation method to be either one of a learned value that is learnable by a learning operation and a fixed value that is independent from the learning operation, and estimates, for each signal group, an estimation signal xe that is an estimated value of the transmission signal from the reception signal by using the signal estimation method specified by the set parameter.

Abstract: A MAC tag list generation apparatus, on reception of a nonce N unique value to each MAC generation process and a message M, generates a t×m group test matrix H serving as combinatorial group testing parameters for s (a positive integer) which is the number of the MACs to be generated, generates a MAC tag list T=(T[1], . . . , T[t]) by generating a MAC value T[i] corresponding to the i-th test (i=1, . . . , t) using the group test matrix H, the nonce N, and pseudorandom functions F and G with variable length input and fixed length output for the message M, and outputs the MAC tag list.