A system, method, apparatus, and computer program product for providing adaptive wireless radio frequency (RF) noise cancellation is disclosed. The invention provides countermeasures to adaptively null in-band interfering emissions to mitigate 4G LTE & 5G interference in RF Bands-of-Interest where signal-under-signal anomalies have degraded the normal operations of legacy RF systems. Embodiments of the invention include an adaptive interference canceler leveraging NVIDIA Graphics Processing Units (GPU) to perform parallel calculations across a CUDA Core architecture. This approach provides a testbed to tailor algorithms and optimize performance prior to implementation of a Field Programmable Gated Array (FPGA) embodiments. Embodiments allow adaptation to real-time changes within the channel impulse response of the RF environment. This involves real-time, digital sampling of the interfering signal from the legacy wireless system against the real-time sampling of the interfering signal from an external collection antenna.

In current practice, faulted messages are typically discarded and a retransmission is requested. Forward error-correction codes (FEC) in 5G and 6G are bulky, resource-expensive, and often unable to resolve the problem. Disclosed are systems and methods for determining which specific message elements are faulted, so that just the faulted portion can be retransmitted, instead of the entire message. For example, the amplitudes of the I and Q branches, of each message element, can be compared to the calibrated amplitude levels of the modulation scheme. Any message element with a large amplitude deviation is suspect. Other factors, such as the SNR, can also be considered in evaluating the validity of each message element. Usually, all of the faulted message elements occupy just a portion of the message. Compact formats are disclosed specifying which portion of the message is to be retransmitted, thereby saving time, power, and background generation.

An improved way is disclosed for recovering a message by merging two corrupted copies of the message in 5G or 6G. Message faults, from noise or interference, distort the modulation of one or more message elements. In a modulation scheme of amplitude-modulated quadrature (I and Q) signals, noise can change the amplitude values, which results in demodulation faults. Often the reception is so poor that a retransmission of the message is also faulted. Nevertheless, the receiver can recover the correct message by measuring a modulation quality of each message element, and assembling a merged message from the best-quality message elements of the two copies. The modulation quality depends on the message element's amplitude versus the calibrated amplitude levels of the modulation scheme. By selecting the individual message elements from the two faulted copies, based on the modulation quality, users can obtain better reception at longer distances while expending less power.

An improved way is disclosed for recovering a message by merging two corrupted copies of the message in 5G or 6G. Message faults, from noise or interference, distort the modulation of one or more message elements. In a modulation scheme of amplitude-modulated quadrature (I and Q) signals, noise can change the amplitude values, which results in demodulation faults. Often the reception is so poor that a retransmission of the message is also faulted. Nevertheless, the receiver can recover the correct message by measuring a modulation quality of each message element, and assembling a merged message from the best-quality message elements of the two copies. The modulation quality depends on the message element's amplitude versus the calibrated amplitude levels of the modulation scheme. By selecting the individual message elements from the two faulted copies, based on the modulation quality, users can obtain better reception at longer distances while expending less power.

Disclosed are systems and methods to determine which specific message elements, of a 5G or 6G message, are faulted. By comparing the amplitude or phase modulation of each message element to a predetermined modulation level, and comparing the difference to a threshold, the faulted message elements can be identified and, potentially, corrected. For example, the modulation scheme may provide two superposed orthogonal signals, thereby providing two amplitude-modulated signals per message element, and a modulation quality can be derived according to the differences between those two amplitudes and the closest predetermined amplitude levels of the modulation scheme. The SNR or SINR of each message element can also be measured and included in the modulation quality determination. Artificial intelligence may enable improved or faster determination of the faulted message elements by including additional input factors. The receiver may then mitigate the message by altering just the faulted message elements, saving re-transmission costs.

Apparatus and methods for providing interference management and load balancing in a wireless network. In one embodiment, the method and apparatus utilize quasi-licensed CBRS (Citizens Broadband Radio Service) wireless spectrum in conjunction with enhanced SAS (Spectrum Access System) and base station (e.g., CBSD) components to enable creation and management of virtual clusters of bases stations connected to the network, so as to enable inter-cluster interference mitigation, while also supporting load balancing between the base stations using coverage area overlap. In one implementation, the SAS reduces the coverage area (transmit power) of one or more base stations on a cluster edge to mitigate inter-cluster interference, and increases or adjusts the coverage of one or more base stations inside of the cluster to enable load balancing.

Disclosed are systems and methods to determine which specific message elements, of a 5G or 6G message, are faulted. By comparing the amplitude or phase modulation of each message element to a predetermined modulation level, and comparing the difference to a threshold, the faulted message elements can be identified and, potentially, corrected. For example, the modulation scheme may provide two superposed orthogonal signals, thereby providing two amplitude-modulated signals per message element, and a modulation quality can be derived according to the differences between those two amplitudes and the closest predetermined amplitude levels of the modulation scheme. The SNR or SINR of each message element can also be measured and included in the modulation quality determination. Artificial intelligence may enable improved or faster determination of the faulted message elements by including additional input factors. The receiver may then mitigate the message by altering just the faulted message elements, saving re-transmission costs.

Faulted messages in 5G or 6G are generally discarded and a retransmission is then requested. However, the faulted message contains valuable information despite the few faulted message elements. Retransmission is a time-consuming energy-intensive process. Therefore, the present disclosure pertains to procedures for determining which specific message elements, of a corrupted message, are actually faulted. To do so, the receiver can determine a modulation quality of each message element by measuring a difference between the amplitude levels of the message element and the predetermined amplitude levels of the modulation scheme. For example, the modulation scheme may involve an I-branch and an orthogonal Q-branch, each with a different amplitude. The message quality may be related to the deviation of each branch amplitude from the closest predetermined amplitude level of the modulation scheme. A large amplitude deviation indicates a suspicious message element. Many other aspects are also disclosed.

Noise in a communication channel is estimated by, in the absence of transmitted information packets, obtaining a plurality of sets of signal samples, and estimating noise power levels associated with the sets of signal samples and allotted to respective noise power classes. In the presence of at least one transmitted information packet, an information packet power level is estimated. A set of signal-to-noise ratios computed between the information packet power level and the noise power levels in the respective noise power classes are compared against a signal-to-noise threshold and partitioned into a first subset and a second subset of signal-to-noise ratios failing to exceed/exceeding, respectively, the threshold. One or more resulting impulsive noise parameters are computed as a function of impulsive noise parameters indicative of noise power levels in the signal-to-noise ratios in the first subset while disregarding impulsive noise parameters indicative of noise power levels in the second subset.

Message failures due to noise and interference cause unnecessary delays and reduction in reliability in wireless networks. To detect, localize, and correct transmission faults in 5G and 6G networks, the receiver can measure the “modulation quality” of each message resource element modulated in PAM (pulse-amplitude modulation), according to how closely the amplitudes of the in-phase and quad-phase signal branches match the amplitude levels of the modulation scheme. If the message is faulted, the receiver can re-assign each message element with poor modulation quality to the adjacent states, or if necessary to each state in the modulation scheme, and may thereby find the correct message value in many cases. When implemented, message fault mitigation as disclosed herein can resolve message failures, improve communication reliability, reduce latency, and improve network operations overall, according to some embodiments.