Abstract: A mobile communication device that is configured to cancel interference within received millimeter wave band signals. The device includes a receiver circuit that is configured to receive a millimeter wave band signal, adjust gain provided to the millimeter wave band signal at a first amplifier, cancel interference in millimeter wave band signal after gain is adjusted by the first amplifier, and adjust gain provided to the millimeter wave band signal at a second amplifier after interference is cancelled.

Abstract: Various embodiments herein provide techniques for integrated access and backhaul (IAB) nodes. For example, embodiments include techniques associated with: rate-proportional routing for network coding; utilizing multiple routes in IAB networks; user equipment (UE) and parent selection for efficient topology in IAB networks; establishing efficient IAB topologies; and/or adaptive coded-forwarding for network coding. Other embodiments may be described and claimed.

Abstract: Various embodiments herein provide techniques for integrated access and backhaul (IAB) nodes. For example, embodiments include techniques associated with: rate-proportional routing for network coding; utilizing multiple routes in IAB networks; user equipment (UE) and parent selection for efficient topology in IAB networks; establishing efficient IAB topologies; and/or adaptive coded-forwarding for network coding. Other embodiments may be described and claimed.

Abstract: In one embodiment, a machine learning (ML) model for determining radio resource management (RRM) decisions is updated, with ML model parameters being shared between RRM decision makers to update the model. The updates may include local operations (between an AP and UE pair) to update local primal and dual parameters of the ML model, and global operations (between other devices in the network) to exchange/update global parameters of the ML model.

Abstract: Training an encoder is provided. The method comprises inputting a current state of a number of aircraft into a recurrent layer of a neural network, wherein the current state comprises a reduced state in which a value of a specified parameter is missing. An action applied to the aircraft is input into the recurrent layer concurrently with the current state. The recurrent layer learns a value for the parameter missing from current state, and the output of the recurrent layer is input into a number of fully connected hidden layers. The hidden layers, according to the current state, learned value, and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action.

Abstract: A computer-implemented method for predicting behavior of aircraft is provided. The method comprises inputting a current state of a number of aircraft into a number of hidden layers of a neural network, wherein the neural network is fully connected. An action applied to the aircraft is input into the hidden layers concurrently with the current state. The hidden layers, according to the current state and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action. A skip connection feeds forward the current state of the aircraft, and the residual output is added to the current state to determine a next state of the aircraft.

Abstract: Training a compressive encoder is provided. The method comprises calculating a difference between a current state of an aircraft and a previous state. The current state comprises a reduced state wherein the value of a specified parameter is missing. The difference is input into compressive layers of a neural network comprising an encoder. The compressive layers learn, according to the difference, a value for the missing parameter. The current state and learned value are concurrently fed into hidden layers of a fully connected neural network comprising a decoder. An action applied to the aircraft is input into the hidden layers concurrently with the current state and learned value. The hidden layers, according to the current state, learned value, and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action.

Abstract: Training adversarial aircraft controllers is provided. The method comprises inputting current observed states of a number of aircraft into a world model encoder, wherein each current state represents a state of a different aircraft, and wherein each current state comprises a missing parameter value. A number of adversarial control actions for the aircraft are input into the world model encoder concurrently with the current observed state, wherein the adversarial control actions are generated by competing neural network controllers. The world model encoder generates a learned observation from the current observed states and adversarial control actions, wherein the learned observation represents the missing parameter value from the current observed states. The learned observation and current observed states are input into the competing neural network controllers, wherein each current observed state is fed into a respective controller.

Abstract: Methods, apparatus, and computer-readable media are described to use multi-finger beamforming for multimeter wave communications. A base station associates with first and second user equipment. Weight sum rates are determined for the user equipment. Transmissions are scheduled to the user equipment based on the weight sum rates. Data is encoded for the first user equipment and transmitted based on the schedule. Data is encoded for the second user equipment and transmitted based on the schedule. The transmissions are multiplexed in the power domain.

Abstract: An apparatus of a transmitter computing node n (TX node n) of a wireless network, one or more computer readable media, a system, and a method.

Abstract: A mobile communication device that is configured to cancel interference within received millimeter wave band signals. The device includes a receiver circuit that is configured to receive a millimeter wave band signal, adjust gain provided to the millimeter wave band signal at a first amplifier, cancel interference in millimeter wave band signal after gain is adjusted by the first amplifier, and adjust gain provided to the millimeter wave band signal at a second amplifier after interference is cancelled.

Abstract: A system is provided. The system includes a first platform including a first platform level agent configured to direct one or more actions of the first platform based on at least one of a selected target or a selected goal. The system also includes a computer system in communication with the first platform level agent. The computer system programmed to a) execute a supervisor level agent configured to select at least one of a target or a goal for one or more platforms including the first platform, b) receive targeting information including one or more targets, c) receive platform information for the one or more platforms, d) select, by the supervisor level agent, a target of the one or more targets based on the target information and the platform information, and e) transmit, to the first platform level agent, the selected target.

Abstract: A mobile communication device that is configured to cancel interference within received millimeter wave band signals. The device includes a receiver circuit that is configured to receive a millimeter wave band signal, adjust gain provided to the millimeter wave band signal at a first amplifier, cancel interference in millimeter wave band signal after gain is adjusted by the first amplifier, and adjust gain provided to the millimeter wave band signal at a second amplifier after interference is cancelled.

Abstract: Various embodiments herein provide techniques for integrated access and backhaul (IAB) nodes. For example, embodiments include techniques associated with: rate-proportional routing for network coding; utilizing multiple routes in IAB networks; user equipment (UE) and parent selection for efficient topology in IAB networks; establishing efficient IAB topologies; and/or adaptive coded-forwarding for network coding. Other embodiments may be described and claimed.

Abstract: Methods, apparatus, and computer-readable media are described to use multi-finger beamforming for multimeter wave communications. A base station associates with first and second user equipment. Weight sum rates are determined for the user equipment. Transmissions are scheduled to the user equipment based on the weight sum rates. Data is encoded for the first user equipment and transmitted based on the schedule. Data is encoded for the second user equipment and transmitted based on the schedule. The transmissions are multiplexed in the power domain.

Abstract: Aspects for interference mitigation in ultra-dense networks are described. Configuration information for at least one co-located hotspot may be determined based on information received from a respective UE of a plurality of UEs and the configuration information may be provided to the at least one co-located hotspot. The configuration information may include an identifier for a channel on which the at least one co-located hotspot is to operate and/or a duration for which the configuration information is to remain valid.

Abstract: Aspects for interference mitigation in ultra-dense networks are described.

Abstract: Aspects for interference mitigation in ultra-dense networks are described.

Abstract: A method for managing spectrum sharing in a wireless communication network includes identifying a set of users in the wireless communication network which shares a spectrum of communication, classifying the set of users into multiple subsets of users, and scheduling, within a given time slot, one subset of users among the multiple subsets of users to transmit and receive data at the same time so that the scheduled subset of users shares the spectrum of communication. The users in a subset are selected by comparing the desired channel strength with the sum of strengths of the strongest interference from that user and the strongest interference to that user, all values in dB scale.

Abstract: A method for managing spectrum sharing in a wireless communication network includes identifying a set of users in the wireless communication network which shares a spectrum of communication, classifying the set of users into multiple subsets of users, and scheduling, within a given time slot, one subset of users among the multiple subsets of users to transmit and receive data at the same time so that the scheduled subset of users shares the spectrum of communication. The users in a subset are selected by comparing the desired channel strength with the sum of strengths of the strongest interference from that user and the strongest interference to that user, all values in dB scale.