Patent classifications
H04B7/0465
Method and apparatus for equal energy codebooks for coupled antennas with transmission lines
A method and apparatus provide equal energy codebooks for coupled antennas with transmission lines. A plurality of precoders can be received from a codebook in a transmitter having an antenna array. Each precoder of the plurality of precoders can be transformed to a transformed precoder such that the transmit power for each transformed precoder is equal to the transmit power for each of other transformed precoders of the plurality of precoders. The transmit power can be expressed as a quadratic form with respect to the corresponding precoder. The quadratic form can be based on a transmission line impedance of a transmission line between a signal source and the antenna array. A signal can be received from the signal source. A transformed precoder of the plurality of transformed precoders can be applied to the signal to generate a precoded signal for transmission over a physical channel. The precoded signal can be transmitted.
Efficient synthesis and analysis of OFDM and MIMO-OFDM signals
Disclosed techniques for improving computational efficiency can be applied to synthesis and analysis in digital signal processing. A base discrete-time Orthogonal Frequency Division Multiplexing (OFDM) signal is generated by performing at least one linear transform, including an inverse discrete Fourier transform (IDFT), on a first matrix of data symbols. A sparse data matrix is provided as an update to the first matrix of data symbols. The at least one linear transform is performed on the sparse data matrix to generate an update discrete-time OFDM signal. The update discrete-time OFDM signal and the base discrete-time OFDM signal are summed to produce an updated discrete-time OFDM signal.
Pre-coding method and pre-coding device
Disclosed is a precoding method comprising the steps of: generating a first coded block and a second coded block with use of a predetermined error correction block coding scheme; generating a first precoded signal z1 and a second precoded signal z2 by performing a precoding process, which corresponds to a matrix selected from among the N matrices F[i], on a first baseband signal s1 generated from the first coded block and a second baseband signal s2 generated from the second coded block, respectively; the first precoded signal z1 and the second precoded signal z2 satisfying (z1, z2).sup.T=F[i] (s1, s2).sup.T; and changing both of or one of a power of the first precoded signal z1 and a power of the second precoded signal z2, such that an average power of the first precoded signal z1 is less than an average power of the second precoded signal z2.
Restricting uplink MIMO assignment based on fading in an mmWave system
Methods and systems are provided for restricting an uplink Multiple Input Multiple Output (MIMO) assignment based on fading in an mmWave system. The methods and systems receive fading data from one or more user devices. Based on the received fading data, the methods and systems determine that a threshold number of the one or more user devices satisfies a threshold level of fading. In response to the threshold number satisfying the threshold level of fading, the methods and systems dynamically restrict the uplink MIMO assignment for at least one user device satisfying the threshold level of fading. In response to dynamically restricting the uplink MIMO assignment, the methods and systems assign the at least one user device to a lower MIMO layer of available MIMO layers.
FULL POWER UPLINK TRANSMISSION FOR ADVANCED WIRELESS COMMUNICATION SYSTEMS
A method of a user equipment (UE) for an uplink (UL) transmission is provided. The method comprises transmitting, to a base station (BS), UE capability information including a full power transmission capability of the UE, receiving, from the BS, configuration information indicating an UL codebook, identifying the UL codebook to use for the UL transmission based on the configuration information, and transmitting, to the BS, the UL transmission based on the UL codebook, where the UL codebook for l layers includes K.sub.l full power transmit precoding matrix indicators (TPMIs) and remaining non-full power TPMIs, where a TPMI indicates a precoding matrix for UL transmission and l indicates a rank value.
Gain normalization for a joint transmission
This disclosure provides methods, devices and systems for wireless communication, and particularly, methods, devices and systems for implementing a joint transmission feature in a wireless communication system. Using the joint transmission feature, multiple access points (APs) may use an aggregated collection of antennas of multiple APs to simultaneously transmit a joint beamformed transmission to one or more stations (STAs). The techniques in this disclosure may prevent or reduce variations in relative gain adjustments by the APs that could otherwise negatively impact the joint transmission. In some implementations, a network device may determine a normalized gain adjustment value based on power parameters associated with each of the multiple APs. In some other implementations, each AP may determine the normalized gain adjustment value based on power parameters shared between the APs.
DATA TRANSMISSION METHOD AND DEVICE
The present disclosure provides a data transmission method and device. The method includes: sending a first signal and a demodulation reference signal DMRS corresponding to the first signal to a second device; wherein the first signal includes at least one data stream, and each data stream corresponds to one DMRS port, one DMRS port corresponds to one or more of the following in different subbands: different power amplifiers, different sounding reference signal ports, or different first signal ports.
Signal generating method and signal generating apparatus
A transmission apparatus that (i) generates a Quadrature Phase Shift Keying (QPSK) modulation signal s1(t) by applying a QPSK modulation scheme to a first data sequence, (ii) generates a 16-Quadrature Amplitude Modulation (QAM) modulation signal s2(t) by applying a 16-QAM modulation scheme to a second data sequence, (iii) generates a transmission signal z1(t) and a second transmission signal z2(t) by applying a phase hopping process, a precoding process, and a power adjust process to the QPSK modulation signal s1(t) and the 16-QAM modulation signal s2(t), wherein an average transmission power of the 16-QAM modulation signal s2(t) being the same as an average transmission power of the QPSK modulation signal s1(t), and (iv) transmits the transmission signal z1(t) from a first antenna at a first time and a first frequency and the second transmission signal z2(t) from a second antenna at the first time and the first frequency.
CONTROL OF EIRP OF A RADIO BASE STATION
Mechanisms for controlling average Equivalent Isotropic Radiated Power (EIRP) of a radio base station, in which a method is performed by a control device. The method comprises performing control of average EIRP of the radio base station according to a back-off power density control loop. In the back-off power density control loop, a beam width control parameter is used to vary the average EIRP generated by an antenna array of the radio base station, whereby the average EIRP is selectively reduced based on the beam width control parameter.
Deep learning based beamforming method and apparatus
Disclosed is a beamforming method using a deep neural network. The deep neural network may include an input layer, L hidden layers, and an output layer, and the beamforming method may include: obtaining channel information h between a base station and K terminals and a transmit power limit value P of the base station, and inputting h and P into the input layer; and performing beamforming on signals to be transmitted to the K terminals using beamforming vectors derived using the output layer and at least one activation function, wherein the base station transmits the signals to the K terminals using M transmit antennas. Here, the output layer may be configured in a direct beamforming learning (DBL) scheme, a feature learning (FL) scheme, or a simplified feature learning (SFL) scheme.