The present invention relates to a method for estimating timing offset of a first user in a receiver which supports a VAMOS technique and receives a burst through a wireless channel in a mobile communication system, the method comprising: determining a received signal matrix by using a plurality of reception training symbols included in the burst and located after predetermined numbers of symbols from the timing offset; determining LS channel estimation matrix in which the first user and a second user are combined, by using information on a transmission training symbol allocated to the second user and information on a transmission training symbol allocated to the first user; performing inner product calculation on the LS channel estimation matrix in which the first and second users are combined and on the received signal matrix so as to calculate a plurality of combined likelihood values; and selecting the timing offset so as to have the maximum value among the plurality of combined likelihood values.

The present invention concerns a method and device for demodulating received symbols using a turbo-demodulation scheme comprising an iterative channel equalization and wherein an iterative channel decoder is used in the turbo-demodulation scheme, characterized in that the iterative channel decoder performs a first iterative process named iterative decoding process, the turbo-demodulation performing a second iterative process named iterative demodulation and decoding process, at each iteration of the second iterative process, the iterative channel decoder executing plural iterations in order to decode bits from which symbols are derived from. The iterative channel decoder: memorizes at the end of the iterations of the first iterative process, the variables used internally by the iterative channel decoder, reads the memorized variables at the following iteration of the second iterative process.

A distributed radio access network (RAN) is provided. A selected wireless transceiver node(s) in a selected coverage cell receives a radio frequency (RF) test signal(s). The selected wireless transceiver node(s) determines an effective gain value based on a predefined characteristic of the RF test signal(s). The selected wireless transceiver node(s) communicates the effective gain value and other related parameters to a server apparatus in the distributed RAN. The server apparatus determines a common gain value for the selected wireless transceiver node(s) in the selected coverage cell based on the parameters. Accordingly, the selected wireless transceiver node(s) operates based on the common gain value. By determining a respective common gain value for each of the coverage cells in the distributed RAN, it may be possible for all the wireless transceiver nodes in the distributed RAN to communicate an uplink digital communications signal(s) without causing distortion in the uplink digital communications signal(s).

It is provided a method, comprising identifying a value of an onsite channel characteristic of a receive channel; requesting a neural network parameter, wherein the request comprises an indication of the onsite channel characteristic; monitoring if the neural network parameter is received in response to the request; estimating the receive channel by a neural network using the neural network parameter if the neural network parameter is received.

The embodiments of the present disclosure provide a channel restoration method and a receiving device, capable of performing channel restoration based on a neural network, thereby improving channel restoration performance and in turn improving data restoration and channel feedback performance. The channel restoration method includes: receiving, by a receiving device, a pilot signal and a data signal transmitted by a transmitting device; extracting, by the receiving device, channel correlation features from target information using a first neural network to obtain a target feature map, the target information including the data signal and the pilot signal, or the target information including the data signal and a pilot position channel determined based on the pilot signal; and performing, by the receiving device, channel restoration processing on the target feature map and the pilot position channel using a second neural network to obtain restored channel information.

A receiver (e.g., for a 10G fiber communications link) includes an interleaved ADC coupled to a multi-channel equalizer that can provide different equalization for different ADC channels within the interleaved ADC. That is, the multi-channel equalizer can compensate for channel-dependent impairments. In one approach, the multi-channel equalizer is a feedforward equalizer (FFE) coupled to a Viterbi decorder, for example, a sliding block Viterbi decoder (SBVD); and the FFE and/or the channel estimator for the Viterbi decoder are adapted using the LMS algorithm.

A communication system that minimizes the transmission of pilot symbols while ensuring real-time channel tracking and symbol detection. The system employs a multiple-input multiple-output (MIMO) transmitter-receiver pair where there are many more receive antennas than transmit antennas. Communication occurs over a wide band RF channel via orthogonal frequency division multiplexing (OFDM) that employs a large number of sub-carriers.

A reception apparatus includes reception circuitry and decoding circuitry. The reception receives a signal including a legacy header field, an enhanced directional multi-gigabit (EDMG) header field, and a data field. The decoding circuitry decodes data included in the data field of the received signal. The legacy header field includes a Length field comprising multiple bits. The reception apparatus is an EDMG terminal, and a subset of the multiple bits of the Length field included in the legacy header field is used to indicate bandwidth over which the signal is transmitted. Remaining bits of the Length field included in the legacy header field are used to indicate data length of the received signal.

A method includes generating a two-dimensionally filtered pilot tone based on a plurality of received pilot tones received using a first subcarrier of each of a plurality of received OFDM symbols and a plurality of data symbols received using a second subcarrier of each of the plurality of received OFDM symbols. The plurality of OFDM symbols is received sequentially over a plurality of OFDM symbol times. The method may include generating inverse channel coefficients based on the two-dimensionally filtered pilot tone. The method may include applying the inverse channel coefficients to a subsequently received OFDM symbol to recover data encoded in the subsequently received OFDM symbol. Generating the two-dimensionally filtered pilot tone may use at least one least-mean-squares filter.

A communication system that minimizes the transmission of pilot symbols while ensuring real-time channel tracking and symbol detection. The system employs a multiple-input multiple-output (MTMO) transmitter-receiver pair where there are many more receive antennas than transmit antennas. Communication occurs over a wide band RF channel via orthogonal frequency division multiplexing (OFDM) that employs a large number of sub-carriers.