Abstract: A method includes determining a least squares channel estimate (LSE) of a channel, removing a first Orthogonal cover code (OCC) sequence from the LSE thereby generating a first signal, determining an estimated timing offset of the first signal, adjusting a first timing of the LSE based on the estimated timing offset thereby generating a second signal with an adjusted timing, removing a second OCC sequence from the second signal thereby generating a third signal, determining a channel estimate of the channel based on the third signal, determining a noise power of a received signal, determining a signal power of the received signal, determining a signal to noise ratio (SNR) of the received signal based on the noise power and the signal power, adjusting a data rate of the channel based on the SNR, and transmitting an output signal based on an adjusted data rate of the channel.

Abstract: A network device includes receiver and a processor. The receiver receives a signal from a group of terminal devices, over a physical uplink control channel (PUCCH) Format 0 (FMT0). The processor is coupled to the receiver, performs processing on the received signal to detect payloads corresponding to the terminal devices in the group, and utilizes the detected payloads for handling further communications with the terminal devices in the group. In the processing, the processor obtains a time domain sequence from the received signal by performing a transform from a frequency domain into a time domain, determines a plurality of correlation power values from the time domain sequence, and extracts, from the plurality of correlation power values, a maximum correlation power value corresponding to each terminal device among the terminal devices in the group.

Abstract: This disclosure relates generally to method and system for multi-object tracking and navigation without pre-sequencing. Multi-object navigation is an embodied Al task where object navigation only searches for an instance of at least one target object where a robot localizes an instance to locate target objects associated with an environment. The method of the present disclosure employs a deep reinforcement learning (DRL) based framework for sequence agnostic multi-object navigation. The robot receives from an actor critic network a deterministic local policy to compute a low-level navigational action to navigate along a shortest path calculated from a current location of the robot to the long-term goal to reach the target object. Here, a deep reinforcement learning network is trained to assign the robot with a computed reward function when the navigational action is performed by the robot to reach an instance of the plurality of target objects.

Abstract: A network device includes receiver and a processor. The receiver receives a signal from a group of terminal devices, over a physical uplink control channel (PUCCH) Format 0 (FMT0). The processor is coupled to the receiver, performs processing on the received signal to detect payloads and obtain SNRs corresponding to the terminal devices in the group, and utilizes the detected payloads and the SNRs for handling further communications with the terminal devices. In the processing, the processor obtains a time domain sequence from the received signal by performing a transform from a frequency domain into a time domain, determines a plurality of correlation power values from the time domain sequence, extracts, from the plurality of correlation power values, a maximum correlation power value corresponding to each terminal device, and determines a current noise power value for SNR based on an instant noise power value, and a previous noise power value.

Abstract: A system and method for creating/initiating a planned event protocol in a configuration manager to implement a parameter change on a network element within a telecommunication network. The planned event protocol is created by a user providing information in a plurality of data fields. Some of these data fields include a network element identifier and a parameter identifier, and the actual network element is updated by updating the parameter which is commanded by an entity management system in communication with the configuration manager. The planned event protocol is reviewed to ensure the information entered into the planned event protocol is correct. The planned event protocol is implemented on a network element(s) resulting in a parameter change of the physical network element within a domain, such that the parameter change impacts user devices, and the service/coverage the user device is able to receive in the domain.

Abstract: A multicomponent conductive adhesive barrier includes an adhesive layer and a conductive barrier. The adhesive layer includes a doped pressure-sensitive adhesive and the conductive barrier layer is a carbon or metal-based material. A photoelectrode structure includes a substrate, a photoabsorbing layer, a multicomponent conductive adhesive barrier, and an electrocatalyst. A method for fabricating the photoelectrode structure includes applying a photoabsorbing layer to a substrate, preparing an adhesive layer, and forming a multicomponent conductive adhesive barrier by applying a conductive barrier layer to the adhesive layer.