Abstract: Embodiments of the present disclosure are focused on systems and methods for enhanced management of transmission profiles within a communication network. The disclosure includes the continuous monitoring of signal to interference plus noise ratios (SINR) and throughput for the UE operating within the coverage area of the base station. Upon the detection that the SINR falls below or surpasses a dynamically adjustable pre-determined threshold, the transmission profile of the UE is dynamically adjusted. The UE can switch between a two-antenna transmission profile and a four-antenna transmission profile, depending on the SINR, ensuring optimized communication within the network.

Abstract: Aspects provided herein provide methods, systems, and a non-transitory computer storage medium storing computer instructions for dynamic assignment of voice frames in a network. The method begins with measuring a radio frequency (RF) condition metric for a user equipment (UE). The RF condition metric is then compared with a predetermined frame assignment threshold. Based on the comparison, a number of voice frames are dynamically assigned to be sent to the UE.

Abstract: The technology disclosed herein relates to identifying terrestrial network coverage gaps using real-time data gathered by space mobile systems. Initially, a dummy PLMN ID is assigned to a space mobile satellite system. The dummy PLMN ID is leveraged for intelligence gathering. RACH and location and routing area updates (LAU/RAU) are collected as a function of beam location for the terrestrial network. Based on the original SIM card assigned to IMSI and LAU/RAU, coverage deficiencies can be categorized for an MNO or a competitor of the MNO. To do so, signal strengths can be identified via brute force PCI scanning. Using the identified signal strengths, coverage maps can be generated for the MNO or the competitor of the MNO. In some aspects, demand based on RACH/LAU attempts in the coverage gap can be defined and used to weight the importance of the coverage gap.

Abstract: Spectrum allocation in non-terrestrial wireless networks is efficiently and intelligently managed by predicting traffic loads for beam cells using historical network traffic data and a trained model. Beam cells with higher predicted traffic loads are assigned larger spectrum bandwidths, while other beam cells are assigned smaller, non-overlapping bandwidths that dynamically change frequencies according to a predefined hopping sequence. Example solutions disclosed herein optimize bandwidth utilization and minimize interference, enhancing service quality and coverage in satellite communication systems.

Abstract: Wireless device transmissions to non-terrestrial networks face challenges due to limited link budgets, at least at mid-band Personal Communications Service (PCS) or Advanced Wireless Services (AWS) frequencies. An example solution includes a method that involves causing a wireless device that is classified or capable of a first power class to instead use a second power class (having a lower maximum transmit power) by default while operating in a terrestrial communication mode. Upon a transition from the terrestrial mode to a non-terrestrial mode (e.g., a satellite mode), the wireless device evaluates its connection with a non-terrestrial network with non-terrestrial nodes. If the evaluated connection does not meet certain success thresholds, the wireless device dynamically switches to the first power class to improve its connection to the non-terrestrial network.

Abstract: Embodiments of the present disclosure are directed to systems and methods for avoiding or mitigating co-channel interference between terrestrial and satellite radio access networks (RANs). The systems and methods comprise one or more terrestrial base stations and one or more satellite base stations, each configured to transmit signals across overlapping frequency bands. The system further comprises applying an orthogonal spread spectrum code to the signals transmitted by the satellite base station, while the terrestrial base station transmits without such coding.

Abstract: Aspects provided herein provide methods, systems, and a non-transitory computer storage medium storing computer instructions for dynamic blanking of physical resource blocks (PRBs) in a network. The method begins with measuring a radio frequency (RF) condition metric for a network element. The network element may be a base station or a sector of a base station. The RF condition metric is then compared with a predetermined blanking threshold. Based on the comparison, a first set of PRBs facing a second set of PRBs on a second network element may be dynamically blanked.

Abstract: Methods, systems, and a non-transitory computer-readable medium for providing advanced scheduling for downlink frequency division duplex (FDD) resources when sounding reference signal (SRS) transmitter switching is in progress are provided. Initially, the node receives an indication that the user equipment (UE) is sharing at least one antenna between FDD and time division duplex (TDD). The node determines the SRS periodicity for the UE. Based on the SRS periodicity, the node provides advance scheduling for downlink FDD resources when SRS transmitter switching is in progress for an FDD receive slot of the at least one antenna. For example, the node may provide downlink FDD resources to other UEs. Additionally or alternatively, the node may blank the corresponding FDD receive slots of the at least one antenna.

Abstract: Systems, methods, and processing nodes for managing network communications perform and/or comprise: configuring a first bandwidth part (BWP) and a second BWP for a wireless device, wherein the wireless device is configured to communicate with an access node over the first BWP; monitoring an actual value of a traffic quality parameter for communications between the wireless device and the access node using the first BWP; determining an expected value of the traffic quality parameter for communications between the wireless device and the access node using the second BWP; and in response to a determination that the expected value of the traffic quality parameter exceeds the actual value of the traffic quality parameter, instructing the wireless device to switch from communication with the access node using the first BWP to communication with the access node using the second BWP.

Abstract: Aspects provided herein provide a multi-stack phased antenna array that includes multiple antenna-element layers, each having a matrix of individual antenna elements. The antenna-element layers are separated by at least one dielectric layer and are electrically connected to a modular ratio-combining engine configured to perform maximum-ratio combining across the layers. The combining engine aligns signals in time and phase to maximize in-phase signal strength and may apply amplitude weighting based on signal characteristics. The array supports bidirectional operation for transmit and receive paths and may be used with a base-station transceiver to provide combined uplink and downlink signals. Structural arrangements such as inter-layer spacing, layer alignment, and dielectric thickness may be selected to control polarization, beamwidth, and sidelobes.

Abstract: Methods and systems for implementing MU-MIMO scheduling in a network are provided. The method begins with determining at least one signal condition metric for a plurality of signals used for communication between a base station and a plurality of devices. A machine learning model is trained to determine whether a device is a mobile device or a fixed wireless device using training data. The training data comprises at least one signal condition metric for the plurality of signals. Users may connect to the network by a mobile connection or through a fixed connection. An output of the machine learning model is then used to predict a type of connection to the network for each device of the plurality of devices. Then, based on the type of connection, MU-MIMO pairings are assigned to at least a portion of the plurality of devices.

Abstract: Aspects provided herein provide methods, systems, and a non-transitory computer storage media storing computer-useable instructions for dynamic allocation of internet of things (IoT) device communications. The method begins with determining an amount of unallocated spectrum in a communications channel used by one or more devices attached to a node. Next, it is determined that the IoT device has requested an amount of spectrum from the node that is less than the amount of unallocated spectrum. At least a portion of the amount of unallocated spectrum is dynamically allocated to the IoT device.

Abstract: Embodiments of the present disclosure are focused on systems and methods for enhanced management of transmission profiles within a communication network. The disclosure includes the continuous monitoring of signal to interference plus noise ratios (SINR) and throughput for the UE operating within the coverage area of the base station. Upon the detection that the SINR falls below or surpasses a dynamically adjustable pre-determined threshold, the transmission profile of the UE is dynamically adjusted. The UE can switch between a two-antenna transmission profile and a four-antenna transmission profile, depending on the SINR, ensuring optimized communication within the network.

Abstract: Embodiments of the present disclosure are directed to systems and methods for enhanced multi-satellite downlink connectivity. Each of two or more extraterrestrial base stations communicate data in a downlink to a single user equipment (UE). Encoding each downlink with a different and orthogonal code permits the re-use of at least partially overlapping frequency resources without intra-channel interference. The separated data streams can be used either to provide additional redundancy when the same data is communicated on each stream or to increase throughput when at least partially different data is communicated on each stream.

Abstract: Systems, methods and computer-readable mediums are provided for resource monitoring and optimization within a network. Monitoring network resource usage can be based on time of day, cell loading conditions, wireless device location, and cell size. Through the monitoring, methods include determining proportions of the network resources utilized by the wireless devices within the network for voice over new radio (VoNR), voice over LTE (VoLTE) and data services during the monitoring. Based on this determination, methods provided herein reallocate the network resources based on the monitored resource usage and the proportions.

Abstract: A method of dynamic beam blanking in a network including an aerospace access point is provided. Multiple antenna beams may be provided in addition to a primary antenna beam. First a determination of an antenna beamwidth of a primary antenna beam is made. The antenna beamwidth is based on a usage threshold of the primary antenna beam. When the antenna beamwidth is above the usage threshold at least one dynamic antenna beam blanking commend is generated for at least one first neighboring co-channel antenna beam used by at least one second user device. The second user device is then directed to at least one second neighboring co-channel antenna beam that is not affected by the dynamic antenna beam blanking command. The blanked first neighboring co-channel antenna beam is then added to the primary antenna beam.

Abstract: A wireless communication network includes base stations serving cells. A first sector of a first cell served by a first base station is facing a second sector of a second cell served by a second base station. A controller receives performance data for each of the facing cells and dynamically assigns resource blocks to each base station. The base stations use the assigned resource blocks in the facing sectors to maximize allocation to user devices served in the facing sectors while minimizing interference. The controller may analyze the performance data over time and dynamically update the assigned resource blocks to each base station for the facing sectors at various time periods based on the analysis.

Abstract: Systems, methods, and processing nodes for managing network communications perform and/or comprise: configuring a first bandwidth part (BWP) and a second BWP for a wireless device, wherein the wireless device is configured to communicate with an access node over the first BWP; monitoring an actual value of a traffic quality parameter for communications between the wireless device and the access node using the first BWP; determining an expected value of the traffic quality parameter for communications between the wireless device and the access node using the second BWP; and in response to a determination that the expected value of the traffic quality parameter exceeds the actual value of the traffic quality parameter, instructing the wireless device to switch from communication with the access node using the first BWP to communication with the access node using the second BWP.

Abstract: According to aspects herein, methods and a non-transitory computer storage medium storing computer instructions for handover between extraterrestrial access points. The method begins with receiving, at a first extraterrestrial access point and a second extraterrestrial access point an uplink communication from a UE. Both the first extraterrestrial access point and the second extraterrestrial access point attempt to decode the uplink communication. The second extraterrestrial access point may transmit additional soft decoding bits to the first extraterrestrial access point. The uplink communication is decoded using the soft decoding bits and the additional soft decoding bits.

Abstract: Scheduling full-duplex transmissions includes configuring adjacent time slots of an air interface resource with different ratios of uplink portions, downlink portions, and flexible portions, scheduling transmissions in each adjacent time slot based on whether or not the transmissions are latency-sensitive or delay-sensitive or control transmissions. The uplink portions, downlink portions, and flexible portions comprise symbols within time slots of a subframe, and can vary based on a numerology. The flexible portions are symbols configured to simultaneously transmit uplink data and downlink data.