Abstract: A method can comprise training, by a system, a local machine learning model with local radio frequency data. The method can further comprise receiving, by the system, a first global model update from an edge server that is configured to communicate with a group of radio frequency devices, and updating the trained local model based on the first global model update. The method can further comprise receiving, by the system, a second global model update from a central server that is configured to communicate with a group of edge servers that includes the edge server, wherein the second global model update is based on second federated learning of the group of edge servers. The method can further comprise updating the trained local model based on the second global model update. The method can further comprise performing, by the system, self-calibration based on the trained local model to produce a configuration.

Abstract: A method can comprise determining, by a system, a first sleep mode action for a first group of cellular base station signal metrics for a cellular base station over a first time period, wherein the first group of cellular base station signal metrics is determined based on a first layer of communications of the cellular base station. The method can further comprise determining, by the system, a second sleep mode action for a second group of cellular base station signal metrics for the cellular base station over a second time period. The method can further comprise determining, by the system, an arbitrated sleep mode action based on the first sleep mode action and the second sleep mode action. The method can further comprise sleeping, by the system, at least part of the cellular base station based on the arbitrated sleep mode action.

Abstract: A method can comprise receiving, by a system, a service request from a user equipment. The method can further comprise, based on the service request, determining respective signal strengths of respective radio access technologies of multiple radio access technologies being used for cellular broadband communications. The method can further comprise, identifying a subset of the respective radio access technologies for which a signal strength criterion is satisfied. The method can further comprise processing a subset of the respective signal strengths corresponding to the subset of the respective radio access technologies using a machine learning model to determine a selected radio access technology, wherein the machine learning model is trained to determine the selected radio access technology based on an energy efficiency metric of the system and based on resource allocation of the system. The method can further comprise communicating with the user equipment via the selected radio access technology.

Abstract: A method can comprise, as part of initially deploying a second radio frequency (RF) transceiver, transferring, by a system, a core model to the second RF transceiver, the core model having been trained based on a training process comprising training an artificial intelligence model for a first RF transceiver, based on first data that is measured for the first RF transceiver. The method can further comprise applying, by the system, transfer learning on the core model at the second RF transceiver based on second data that is measured for the second RF transceiver, to produce a trained model. The method can further comprise calibrating, by the system, the second RF transceiver based on an output of the trained model to produce a calibrated second RF transceiver. The method can further comprise transmitting, by the system, RF information via the calibrated second RF transceiver.

Abstract: A method can comprise allocating, by a system, an adaptive cell-specific bandwidth part for facilitation of cellular network communications, wherein the adaptive cell-specific bandwidth part comprises a group of bandwidth sizes that enable different energy consumption by the cellular network. The method can further comprise transitioning, by the system, from a first bandwidth size to a second bandwidth size, wherein the second bandwidth size is smaller, based on determining that the second bandwidth size is sufficient to serve a predicted amount of network traffic. The method can further comprise, after transitioning to the second bandwidth size, transitioning, by the system, from the second bandwidth size to the first bandwidth size, based on determining that a second criterion has been satisfied. The method can further comprise, after transitioning from the second bandwidth size to the first bandwidth size, facilitating, by the system, cellular network communications with the first bandwidth size.

Abstract: Facilitating cell and carrier switch off for energy awareness in advanced communication networks is provided herein. A method includes determining a first result of a utility function associated with a first configuration of a set of carriers that service a group of user equipment in a communication network. The first configuration is based on respective activation states of carriers of the set of carriers. The method also includes, based on respective traffic patterns of user equipment of the group of user equipment, evaluating respective results of the utility function for respective configurations of a group of configurations, other than the first configuration, for the set of carriers. Further, the method includes selecting a second configuration from the group of configurations based on a second result of the utility function for the second configuration being determined to be a higher value than a value of the first result.

Abstract: A system for enhancing an energy efficiency of a mobile network includes a digital twin connected to the mobile network. The digital twin is programmed to: receive, from the mobile network, real-time network traffic data and base station data of base stations operating in the mobile network; generate a first prediction of network traffic at a first time-scale based on the real-time network traffic data; generate a second prediction of network traffic at a second time-scale based on the real-time network traffic data and the base station data; and generate a first power consumption prediction for the mobile network based on the first prediction, the second prediction, and a topology of the mobile network, and the digital twin emulates at least a portion of the mobile network.

Abstract: Facilitating energy aware multi-cell admission control in advanced communication networks is provided herein. A method includes, based on notification of a denial of an admission request by a first cell, facilitating a transmission of the admission request to a second cell and at least a third cell. The second cell and the third cell are neighbor cells of the first cell. The admission request can be received from a user equipment. The method also includes, based on receipt of an acceptance of the admission request from the second cell and the third cell, and based on a determination that a first utility of the second cell is higher than a second utility of at least the third cell, selecting the second cell as an admission cell for the user equipment. Further, the method includes facilitating admission of the user equipment to a cell cluster via the second cell.

Abstract: Methods and systems for low complexity interference cancellation in multichannel optical transmission. Local or self-iteration is performed one or more times between an expected propagation decision feedback equalizer and a soft demapper. Following local iteration, a soft decision forward error correction decoder determines bit log-likelihood ratios, which are fed back to the expected propagation decision feedback equalizer and soft demapper for further self-iteration. Global iteration involving the decoder can also be performed one or more times before a bitstream is decoded.

Abstract: Methods and systems for low complexity interference cancellation in multichannel optical transmission. Local or self-iteration is performed one or more times between an expected propagation decision feedback equalizer and a soft demapper. Following local iteration, a soft decision forward error correction decoder determines bit log-likelihood ratios, which are fed back to the expected propagation decision feedback equalizer and soft demapper for further self-iteration. Global iteration involving the decoder can also be performed one or more times before a bitstream is decoded.

Abstract: A receiver architecture is described for phase noise compensation in the presence of inter-channel interference (ICI) and inter-symbol interference (ISI), particularly for time-frequency packing (TFP) transmissions. The receiver includes a coarse phase noise (PN) estimator, a PN compensation module, an ICI cancellation module, an ISI compensation module, a FEC decoder, and an iterative PN estimator. The iterative PN estimator receives log likelihood ratio (LLR) information from the decoder and provides an iterative PN estimation to the PN compensation module. The decoder also provides LLR to the ISI compensation module, and to at least one other receiver for another subchannel that is immediately adjacent in frequency. The ICI cancellation module receives decoder output from at least one adjacent subchannel, which the ICI cancellation module uses to provide a ICI-cancelled signal.

Abstract: A receiver architecture is described for phase noise compensation in the presence of inter-channel interference (ICI) and inter-symbol interference (ISI), particularly for time-frequency packing (TFP) transmissions. The receiver includes a coarse phase noise (PN) estimator, a PN compensation module, an ICI cancellation module, an ISI compensation module, a FEC decoder, and an iterative PN estimator. The iterative PN estimator receives log likelihood ratio (LLR) information from the decoder and provides an iterative PN estimation to the PN compensation module. The decoder also provides LLR to the ISI compensation module, and to at least one other receiver for another subchannel that is immediately adjacent in frequency. The ICI cancellation module receives decoder output from at least one adjacent subchannel, which the ICI cancellation module uses to provide a ICI-cancelled signal.

Abstract: The disclosed apparatuses and methods are directed to embedding of virtual links in an optical network. The method comprises: receiving an adaptation request for a virtual link within a virtual network embedded on an optical substrate network; generating a plurality of candidate embeddings based on a topology of the substrate network and a current embedding of the virtual link, each candidate embedding satisfying the adaptation request; determining a total cost of each candidate embedding based on a disruption cost of the candidate embedding; and selecting, as a new embedding, a candidate embedding from the plurality of candidate embeddings in accordance with the determined total cost of the selected candidate embedding.

Abstract: The disclosed apparatuses and methods are directed to embedding of virtual links in an optical network. The method comprises: receiving an adaptation request for a virtual link within a virtual network embedded on an optical substrate network; generating a plurality of candidate embeddings based on a topology of the substrate network and a current embedding of the virtual link, each candidate embedding satisfying the adaptation request; determining a total cost of each candidate embedding based on a disruption cost of the candidate embedding; and selecting, as a new embedding, a candidate embedding from the plurality of candidate embeddings in accordance with the determined total cost of the selected candidate embedding.

Abstract: The disclosed s, structures, and methods are directed to a method and a system for embedding a virtual network onto the substrate optical network comprising embedding the plurality of virtual nodes onto the plurality of substrate nodes in accordance with the plurality of location constraints, computing end-to-end latency associated with a plurality of substrate paths connecting a source substrate node and a destination substrate node, wherein the plurality of substrate paths contain the plurality of substrate links and the plurality of substrate nodes, and embedding a virtual link connecting a source virtual node and a destination virtual node onto the one of the plurality of substrate paths connecting the source substrate node and the destination substrate node, wherein the end-to-end latency associated with the one of the plurality of substrate paths is less than or equal to a maximum allowable latency for the virtual link.

Abstract: The disclosed s, structures, and methods are directed to a method and a system for embedding a virtual network onto the substrate optical network comprising embedding the plurality of virtual nodes onto the plurality of substrate nodes in accordance with the plurality of location constraints, computing end-to-end latency associated with a plurality of substrate paths connecting a source substrate node and a destination substrate node, wherein the plurality of substrate paths contain the plurality of substrate links and the plurality of substrate nodes, and embedding a virtual link connecting a source virtual node and a destination virtual node onto the one of the plurality of substrate paths connecting the source substrate node and the destination substrate node, wherein the end-to-end latency associated with the one of the plurality of substrate paths is less than or equal to a maximum allowable latency for the virtual link.

Abstract: Some aspects and embodiments of the present invention provide effective mechanisms for provisioning virtual networks on communication networks. In particular some aspects and embodiments provide an effective mechanism for embedding a virtual network into a multi-layered substrate network which utilizes a different communication technology at each layer. One such example is an IP network overlaid over an optical network, such as an OTN network. Embodiments jointly determine the assignment of virtual nodes and virtual links. Assigning the nodes and links together can provide for a more optimal solution than assigning the nodes and the links separately. Some embodiments generate a collapsed graph which includes the optical network and the IP network in a single layer. Accordingly some embodiments jointly determine the assignment of virtual nodes and virtual links within such a collapsed graph, which can provide more optimal assignments than considering assignments within each layer separately.

Abstract: The disclosed structures and methods are directed to a method for compensation of linear and nonlinear effects in optical fiber of a coherent optical signal transmitted through an optical link. The method comprises receiving a coherent optical signal having carriers; determining values of intensity vectors for each carrier; determining values of filtered intensity vectors for each carrier by filtering the values of the intensity vectors at frequencies lower than a cut-off frequency of a filter; determining nonlinear compensation coefficients for each carrier based on the filtered intensity vectors; and modifying the digital coherent optical signal based on the nonlinear compensation coefficients.

Abstract: Network Virtualization can be used to map a virtual network (VN) on a substrate network (SN) while accounting for possible substrate failures, known as the Survivable Virtual Network Embedding (SVNE) problem. The VN can be equipped with sufficient spare backup capacity to sustain the Quality of Service during substrate failures, and the resulting VN may be equipped accordingly. The present application discloses jointly optimizing spare backup capacity allocation and embedding a VN to provide full bandwidth in the presence of a single substrate link failure. A solution may be formulated as a Quadratic Integer Program that can be further transformed into an Integer Linear Program, or as a heuristic.

Abstract: The disclosed structures and methods are directed to a method for compensation of linear and nonlinear effects in optical fiber of a coherent optical signal transmitted through an optical link. The method comprises receiving a coherent optical signal having carriers; determining values of intensity vectors for each carrier; determining values of filtered intensity vectors for each carrier by filtering the values of the intensity vectors at frequencies lower than a cut-off frequency of a filter; determining nonlinear compensation coefficients for each carrier based on the filtered intensity vectors; and modifying the digital coherent optical signal based on the nonlinear compensation coefficients.