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).

Systems, devices, and methods of the present invention enhance data transmission through the use of polynomial symbol waveforms (PSW) and sets of PSWs corresponding to a symbol alphabet is here termed a PSW alphabet. Methods introduced here are based on modifying polynomial alphabet by changing the polynomial coefficients or roots of PSWs and/or shaping of the polynomial alphabet, such as by polynomial convolution, to produce a designed PSW alphabet including waveforms with improved characteristics for data transmission.

Wireless networks, such as 5G (and future 6G) networks, can recognize opportunities to enhance message performance by analyzing fault types in real-time, and selecting an appropriate mitigating modulation table accordingly. Noise patterns causing adjacent-amplitude faults and adjacent-phase faults indicate the need for different modulation schemes, while the large non-adjacent faults from pulsed external interference lead to yet a different choice. Disclosed examples show how to select an appropriate mitigating modulation table through fault analysis of failed messages. By selecting and switching to different modulation tables according to the types of message faults experienced by user messages, network operators can reduce message failure rates and increase overall throughput while reducing average delay per message, according to some embodiments.

Computing environments employing Artificial Intelligence (AI) are disclosed for enabling network operators to optimize messaging performance, particularly 5G (and future 6G) messaging performance, in real-time. For example, AI structures can assist in the selection and optimization of modulation tables. 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 an algorithm based on the AI structure. Network operators can use the algorithm to compare predicted performance metrics according to various operating conditions, such as available modulation tables, and thereby select operating parameters for improved message reliability and throughput. The algorithm can also be used to adjust network variables, such as particular amplitude or phase levels in modulation tables.

Apparatus and methods for testing a cable connection in order to determine whether the cable connection can adequately support delivery of one or more services delivered from a service provider infrastructure. In one embodiment, the methods and apparatus are adapted to detect RF signals on a coaxial cable connection or outlet within a premises, evaluate the signals, and determine the readiness status thereof based on the evaluation. In one variant, an algorithm is used for the evaluation of the RF signals, and is dependent on at least a geographical location of the cable outlet being tested. The algorithm evaluates a list of prospective RF channels for signal strength so as to correlate or exclude any signals present from one or more types of sources (e.g., OTA broadcasts, satellite service providers, etc.).

Apparatus and methods for testing a cable connection in order to determine whether the cable connection can adequately support delivery of one or more services delivered from a service provider infrastructure. In one embodiment, the methods and apparatus are adapted to detect RF signals on a coaxial cable connection or outlet within a premises, evaluate the signals, and determine the readiness status thereof based on the evaluation. In one variant, an algorithm is used for the evaluation of the RF signals, and is dependent on at least a geographical location of the cable outlet being tested. The algorithm evaluates a list of prospective RF channels for signal strength so as to correlate or exclude any signals present from one or more types of sources (e.g., OTA broadcasts, satellite service providers, etc.).

A data processing apparatus, a data processing method, and a program are disclosed. They improve communication performance by performing bit interleaving suitable for a modulation method that is a non-uniform constellation. One example of a data processing apparatus includes a mapping unit configured to generate a second bit sequence by mapping a first bit sequence to any symbol on a complex plane corresponding to a NUC modulation method, an inter-symbol interleaving unit configured to generate a third bit sequence by performing inter-symbol interleaving to the second bit sequence, an intra-symbol interleaving unit configured to generate a fourth bit sequence by performing intra-symbol interleaving for shifting M bits as a whole of the third bit sequence per a same number of M bits as the bit number M representing the symbol, and a modulation unit configured to wirelessly transmit the fourth bit sequence according to the NUC modulation method.

Systems, methods and devices for communicating comprise one or more of a computer-readable media, a computer, a satellite communication device and a mobile device, wherein the at least one of a computer-readable media, a computer, a satellite communication device and a mobile device to perform at least one of supplying data as input communication symbols to an encoder, which converts the input communication symbols into transmittable waveforms having a head function and a tail function, which are different. A transmitter transmits transmittable waveforms over a communication channel, which is received by a receiver, then demodulated and output communication symbols carrying the data to at least one of a user, a secondary computer-readable media, a secondary computer, a secondary satellite communication device and a secondary mobile device.

A method of transmitting a broadcast signal includes encoding data which is carried by Data Pipes (DPS); mapping the encoded data to constellations; interleaving the mapped data by skipping virtual cells based on a memory address for the interleaving; building at least one signal frame having symbols including the interleaved data; frequency interleaving cells of the symbols in the at least one signal frame; modulating the at least one signal frame including the frequency interleaved cells of the symbols by an orthogonal frequency division multiplexing (OFDM) scheme; and transmitting the broadcast signal including the modulated at least one signal frame.

A data modulation method and device utilized in a multi-carrier system. The method includes: performing, by a transmitting node, data modulation by adopting at least two different waveform functions.