Artificial Intelligence (AI) means are disclosed for enabling network operators to optimize 5G and 6G messaging performance, in real-time. AI models, or fieldable algorithms derived therefrom, can select an appropriate modulation scheme according to network conditions. Modulation variables can then be adjusted to optimize performance, such as throughput or failure rates, for low or high traffic densities. Three development phases are described: network data acquisition including faults experienced under various network conditions, AI structure tuning for accurate prediction of performance, and implementation of a fieldable algorithm based on the AI structure. Network operators can use the fieldable algorithm to compare predicted performance metrics in real-time, according to various operating conditions (such as available modulation schemes), and thereby adjust particular modulation parameters (such as amplitude or phase levels).

An optical transmitter includes a signal-process circuit to process a transmission signal; an optical modulator to modulate light input by the transmission signal output from the signal-process circuit, and output an optical signal; and a control circuit to output a control signal for controlling a carrier frequency of the optical signal, to the signal-process circuit, wherein the signal-process circuit comprises a phase-rotation circuit to apply phase rotation of the carrier frequency on a complex plane according to the control signal, to the transmission signal, a map-adjustment circuit to determine scale factor for a map according to an angle of the phase rotation, and a modulation-format-map circuit to map the transmission signal on the complex plane based on a modulation format and the scale factor, wherein the phase-rotation circuit is configured to rotate, on the complex plane, the phase of the carrier frequency mapped based on the scale factor.

A method, network node and user equipment are provided. In one or more embodiments, a first user equipment, UE, configured to communicate with a second UE for performing non-orthogonal multiple access, NOMA, communication is provided. The first UE includes processing circuitry configured to receive a first signal including a first component of interleaved-rotated symbols associated with the second UE, determine a second component of the interleaved-rotated symbols based at least in part on the received first component, and cause transmission of a second signal including the second component of the interleaved-rotated symbols to the second UE as part of the NOMA communication where the second signal not including the first component of the interleaved-rotated symbols.

Embodiments of a mobile device transmitter and methods for transmitting signals in different signal dimensions are generally disclosed herein. The mobile device transmitter comprises a mapper to map a block of two or more input modulation symbols to different signal dimensions comprising two or more spatial dimensions, and linear transform circuitry to perform a linear transform on the block of mapped input modulation symbols to generate a block of precoded complex-valued output symbols such that each output symbol carries some information of more than one input modulation symbol. The mobile device also comprises transmitter circuitry to generate time-domain signals from the blocks of precoded complex-valued output symbols for each of the spatial dimensions for transmission using the two or more antennas. The precoded complex-valued output symbols are mapped to different signal dimensions comprising at least different frequency dimensions prior to transmission.

Methods and systems for communication with an optimized constellation include coding an input data stream to a symbol stream according to an optimized constellation that has a non-Gray bit mapping and that has neighboring points having more than one bit difference farther apart than neighboring points having one bit difference. The symbol stream is modulated onto a transmission signal and subsequently demodulated at a receiver to produce a received symbol stream. The received symbol stream is decoded to a bitstream according to an optimized constellation that has a non-Gray bit mapping and that has neighboring points having more than one bit difference farther apart than neighboring points having one bit difference.

A scheduling node (600), a transmitting node (602), a receiving node (604), and methods therein, for communication of data on a shared radio resource. The scheduling node (600) divides wireless devices into multiple groups, and assigns group-specific rotation angles to the groups so that the transmitting node (602) should apply a group-specific rotation angle when transmitting data to or from a wireless device in the corresponding group. In addition, a repetition factor is assigned to each wireless device such that the data is repeated consecutively according to the repetition factor, before transmission. The repetition factor may correspond to the number of groups.

Systems and methods are disclosed for modulating wireless signals in 5G (and future 6G) networks, to mitigate faults from noise or interference, optimize reliability, and enhance message throughput, according to some embodiments. Versions may include modulation tables for phase and amplitude modulation of message symbols in which the number of amplitude levels is different from the number of phase levels. Alternatively, the number of amplitude levels and/or phase levels may be other than a power of two. Other versions may provide a non-uniform spacing of amplitude levels or phase levels for optimal SNR throughout. Specific modulation states of the modulation table may be excluded, or declared invalid for signaling, thereby increasing the noise immunity of the remaining valid states. Embodiments of the disclosed modulation tables can provide improved signal clarity, fewer dropped messages, fewer retransmit requests, higher throughput, faster uploads and downloads, and more satisfied wireless customers overall.

A method of signal communication is disclosed comprising providing source data having a predetermined signal power; mapping the source data onto a first modulation scheme to obtain a first set of complex symbols; mapping the source data onto at least one further modulation scheme to obtain at least one further set of complex symbols; combining the first set of complex symbols and the at least one further set of complex signals to form a modulated signal to be forwarded along a communications channel. Beneficially, the predetermined signal power of the source data is split between the first modulation scheme and the at least one further modulation scheme.

A constellation rotation method is presented. The method includes: determining a statistical characteristic of a received signal of a Base Station (BS) according to a channel coefficient of one or more User Equipments (UEs), at least one of noise information and interference information, the received signal being a signal received by the BS through a physical channel from the one or more UEs; determining a constellation rotation angle of each UE according to the determined statistical characteristic of the received signal; and for each UE, rotating a constellation of a data stream of a UE according to the constellation rotation angle of the UE.

A transmitter includes: a phase rotation sequence generation unit that generates, on the basis of transmit bits being input, a phase rotation sequence in which a frequency response has a bandwidth; an up-sampling unit that changes a sample rate of the phase rotation sequence and further replicates the phase rotation sequence; and a frequency shift unit that shifts, by a specified amount of shift on a frequency axis, a frequency component of the phase rotation sequence acquired from the up-sampling unit.