A communication device and a communication method are provided. The communication device includes: a processor configured to generate a Golay complementary set, and a modulator configured to modulate the Golay complementary set to a carrier. Herein, the generated Golay complementary set is generated by using an algebraic structure and has an elastic length, and is adapted to communication application such as channel estimation or signal synchronization.

In various embodiments, techniques are provided to determine channel characteristics of various communication systems such as OFDM systems or systems using a plurality of transmit antennas by using various sets of training symbols that produce zero cross-correlation energy. Channel communication can accordingly be simplified as the zero cross-correlation property allows for channel estimation without a matrix inversion.

Disclosed herein is a method of performing quantum channel estimation. The method is performed by a first device of a transmission device, and may include a first quantum state transmission step of transmitting a first quantum state including an N-qubit sequence to a second device of a reception device through a quantum channel, a second quantum state information reception step of receiving information about a second quantum state () received by the second device through the quantum channel from the second device, and a quantum channel estimation step of estimating the quantum channel based on the received information about the second quantum state ().

Implementations described herein are directed to satellite transmitters and receivers for applying OFDM-like signaling in broadband satellite transmissions. In such systems, one or more data signals may be shaped and composited into a composite data signal at an OFDM-like transmitter for transmission over a satellite channel. The data signals that are carried over the satellite channel by the composited signal may have their own carrier, and each signal may carry multiple OFDM subcarriers. Further implementations are directed to correcting for distortion in satellite communications systems that utilize OFDM-like signaling. This distortion correction may account for the linear and nonlinear distortion introduced by the high power amplifier of a satellite receiving a composite signal, the linear and nonlinear distortion caused by the interaction of the signals in the composite, the linear and nonlinear distortion caused by the interaction between OFDM subcarriers, and/or the linear and nonlinear distortion caused by inter-carrier interference.

The disclosure relates to a transmission device for transmitting a radio signal over a radio channel. The transmission device includes: a radio signal generator, configured to generate a radio signal in time-frequency domain; a channel state information (CSI) interface, configured to receive CSI of the radio channel; a pilot generator, configured to compose a pilot signal from at least one pre-defined pilot signal, wherein a number and a location of the at least one pre-defined pilot signal in the composed pilot signal is determined based on at least one of a latency requirement and/or the received CSI; a pilot insertion unit, configured to insert the composed pilot signal into the radio signal; and a transmission unit configured to transmit the radio signal comprising the inserted composed pilot signal. The disclosure further relates to a reception device for receiving a radio signal over a radio channel.

Systems, methods, and devices to reduce the channel estimation overhead by collecting data from many UEs and building a location-based mathematical model are disclosed. During building of the model, a reference signal is used to collect location- and signal-related data from connected UEs. Once the model is successfully built, it is then transmitted and/or downloaded to each new UE that connects to the base station. The UEs and/or the base stations then use this model to determine their own transmission parameter values. The UEs also report their location to the base stations, which use the model to estimate channel conditions and adapt transmission parameters for themselves.

A receiver for use in a wireless communication system to receive signals transmitted over a wireless channel. The receiver includes a plurality of radio-frequency (RF) chains coupled a plurality of antennas. Each RF chain has at least one-bit analog-to-digital converter (ADC) to convert each measurement of an analog signal received by the antenna into at least one bit of information representing a result of a comparison of the measurement with a randomly selected threshold to produce a sequence of bits and a corresponding sequence of thresholds. Each bit in the sequence of bits represents a relative value of the measurement of the analog signal with respect to a threshold from the corresponding sequence of thresholds. A processor coupled to the plurality of RF chains estimates parameters of the wireless channel using the sequences of bits and the corresponding sequences of thresholds received from the plurality of RF chains.

A method and apparatus are provided. The method includes receiving, by a user equipment (UE), a first signal from a transceiver, determining one of a probability and a soft mean with a soft variance associated with the detected data symbol, determining a first coefficient and a second coefficient based on the determined one of the probability and the soft mean with the soft variance associated with the detected data symbol, determining channel state information (CSI) on a channel between the transceiver and the UE based on a second signal received by the UE from the transceiver, a previous CSI, the first coefficient and the second coefficient, and tracking the communication channel based on the determined CSI.

A communication device is provided that includes a receiver configured to receive a signal. The communication device further includes a determination circuit configured to determine an interference estimation signal of the received signal based on a first signal sample of the received signal and on an interference signal model. The communication device further includes a correction circuit configured to determine a corrected interference estimation signal based on the determined interference estimation signal and on a second signal sample of the received signal. The communication device further includes a subtraction circuit configured to subtract the corrected interference estimation signal from the received signal.

A channel estimation method in multiple-input multiple-output (MIMO) communication systems using a temporal correlation and an apparatus therefor are provided. The method includes quantizing a receive signal received via each of MIMO antennas using an analog-to-digital converter (ADC) and reflecting a temporal correlation in the quantized receive signal and estimating a channel for the receive signal, received via each of the MIMO antennas, based on the receive signal in which the temporal correlation is reflected.