Abstract: The present disclosure relates to a system comprising an alarm management module (AMM) that receives an alarm raised by an application running on a network function virtualization unit (NFVU) infrastructure, said NFVU infrastructure comprising a virtualization layer; and facilitates enrichment of the received alarm with NFVU infrastructure specific information based on a physical-and-virtual inventory associated with the NFVU infrastructure, said NFVU infrastructure specific information pertaining to hardware and virtual resources of the NFVU infrastructure that are involved in running said application.

Abstract: The present disclosure provides a system and method for facilitating tracking area code (TAC) engine to prepare dynamic network polygons based on actual configuration, allocation of TAC to new cell sites, identification of various discrepancies and anomalies in existing planned network, capacity optimization through TAC Division, merge and network polygon edit, and auto work order generation and execution of changes in respective systems, MME Pool and eNB/SCs. Tracking Area Code is a vital parameter for new sites planning and rollout. The method complements network rollout speed with highest level of accuracy of planning and better network perform nave and accuracy. Auto planning engine makes TAC planning zero touch engine with manual review and action through manual edit, audit and work order creation features. Auto planning and configuration help faster rollout, speedy correction and implementation in live network to enhance network performance and user experience.

Abstract: A system and method for hierarchical computation of KPI(s). The method encompasses receiving for at least one time slice, counter(s) associated with each node from one or more nodes. The method further encompasses defining at each time slice, metrics for said each node based on associated counter(s). The method thereafter comprises computing a locally aggregated value and a time aggregated value of the metrics. The method further encompasses mapping, the time aggregated value of each metric to a control center hierarchy (CCH). Further the method calculates a hierarchically aggregated value for each metric present in a target list of metrics associated with KPI expression(s) corresponding to said CCH, based on an aggregation of all time aggregated values of said each metric. The method thereafter encompasses computing, by a KPI scheduler unit, the KPI(s) for said CCH based at least on said hierarchically aggregated value and said KPI expression(s).

Abstract: Present disclosure generally relates to wireless communication, more particularly to system and method for determining congestion in telecommunication deployment area. System determines, for pre-defined time interval, cell congestion score of each cell in telecommunication deployment area, based on average throughput value of each cell and/or PRB utilization KPI values of each cell. System collects, from each cell, spatial measurement samples corresponding to voice service session and/or data service session initiated by UE connected to each cell. System spatially maps collected spatial measurement samples to spatial grid of predefined size in area. System determines grid congestion score, by computing weighted average of sample congestion scores corresponding to individual spatial measurement samples which are mapped to corresponding spatial grid, and determines area congestion score of area, based on grid congestion score, and averaging of cell congestion score and grid congestion score in area.

Abstract: The present disclosure relates to systems and methods for control-data plane partitioning in virtual distributed ledger networks. In one embodiment, a processor-implemented method is disclosed, comprising receiving a request for a microservice at a virtual distributed ledger technology node associated with a virtual distributed ledger technology network; identifying operations on user data to be performed related to the request for the microservice; retrieving the user data from a data storage memory external to the virtual distributed ledger technology network; performing the identified operations on the user data; executing the microservice based on performing the identified operations on the user data, to generate user data and control information; storing the generated user data in the data storage memory external to the virtual distributed ledger technology network; and committing the generated control information to a distributed ledger associated with the virtual distributed ledger technology network.

Abstract: The present disclosure relates to systems and methods for a wearables-based Internet-of-Things service in an edge-computed blockchain network. In one embodiment, a system is disclosed for an Internet-of-Things wearables-based emergency healthcare service, comprising at least one hardware processor; and at least one memory device storing instructions executable by the at least one hardware processor to perform operations. The operations comprise receiving, at a node of a virtual distributed ledger technology network, a call from a wearable device associated with a patient; executing a first microservice to request an emergency service for the patient; executing a second microservice to obtain consent for data transfer of patient data related to the patient across the virtual distributed ledger technology network; requesting the patient data from a memory external to the virtual distributed ledger technology network; and transmitting the patient data through the virtual distributed ledger technology network.

Abstract: The present invention relates to a system and method for managing operational data pertaining to a service through a distributed ledger with minimal or no manual intervention. The system enables a user and an entity (and third party for fund processing) to perform an incremental data management, rate card management that may be acceptable to both the user and entity for efficient fund processing. The system and method of the present disclosure facilitates managing operational data pertaining to service to reduce the associated costs and time related to reconciliation as well as to reduce manual verification efforts. The system also enables additional IoT based implementation that can result in fully automated system with true estimation of the energy consumption by inter communication between multiple ledger networks and IoT.

Abstract: The present disclosure provides novel solution for Network Optimization in telecommunications network that has traditionally always been driven by measuring and improving Key Performance Indicators (KPIs) of network elements vis-à-vis advancement for identification of the customers with poor experience and identification of spatial clusters of these customers to pinpoint the exact location of the problem, allowing for more targeted network optimization. The systems and methods contained in this invention enable the identification of these customers with poor experience and identifies spatial clusters of these customers to pinpoint the exact location of the problem, allowing for more targeted network optimization. This disclosure provides solution by aggregating a multitude of metrics pertinent to the user’s voice, data and coverage experience and deriving a single KPI, it is possible to benchmark and correspondingly track and improve their experience.

Abstract: The present disclosure provides a system and a method for providing personalized and community-based recommendations. The system is configured with one or more primary sensors and a wearable device to monitor multiple health parameters from a user. The wearable device is configured with one or more secondary sensors to monitor additional health parameters from the user. Further, the system uses artificial intelligence (AI) to generate a personalized model or a digital twin based on the inputs from the one or more primary sensors and the wearable device. The generated personalized model continuously monitors the inputs and triggers an emergency service upon a significant variation in the inputs. Further, the system provides various micro services to facilitate personalized and community based recommendations. The system utilizes a blockchain network to generate smart contracts and reward the user based on the inputs from the digital twin model.

Abstract: The present disclosure generally relates to fund transfer/financial transactions, more particularly to system and method for secure and traceable fund transfer operation through a distributed ledger. The system receives, from sender or receiver of user device, keyword-based query to determine first user public key or second user public key. System triggers user device of sender, to sign off amount to be transferred to determined first user public key of receiver, and transmits signed-off amount to blockchain network. The system receives from blockchain network, validation of transfer request, and invokes check and debit smart contract microservice, to check balance and debit in the TSDCB account of sender. The system invokes transfer smart contract microservice to credit the debited amount to TSDCB account of receiver, and identify, TSDCB Account Identities (TA-IDs) for sender and receiver. The system records the transaction in a ledger associated with the blockchain network.

Abstract: The present invention relates to a system and a method for automatic fault diagnosis, troubleshooting and resolution recommendations in a data center comprising one or more resources. The method comprises at least one collector unit [102] collecting a first data from one or more resources of the data center. A mapping unit [104] identifies a failure impact on the one or more resources based on the first data collected by the at least one collector unit. The central module unit [110] creates a detailed relationship map for the one or more virtual and physical resources based on the identified failure impact. A fault processor [106] automatically diagnoses the data center on occurrence of a fault based on the relationship map, and troubleshoots at least one of the one or more resources based on the diagnosis.

Abstract: The present disclosure relates to systems and methods for hybrid synchronization in virtual distributed ledger networks. In one embodiment, a processor-implemented method is disclosed, comprising receiving, at the first virtual machine or container associated with a master ledger, a transaction request comprising transaction information; updating the master ledger with the transaction information; upon determining to perform a synchronous update of the slave ledgers, updating the slave ledgers based on the updated master ledger with the transaction information using a consensus protocol; and upon determining to perform an asynchronous update of the slave ledgers, communicating by the first virtual machine or container, with one or more additional virtual machines or containers associated with the slave ledgers, an update of the slave ledgers at one or more times determined based on a delay tolerance associated with each of the one or more additional virtual machines or containers.

Abstract: The present disclosure relates to systems and methods for microservice execution load balancing in virtual distributed ledger networks. In one embodiment, a system comprises a plurality of hardware processors; and at least one memory device storing processor-executable instructions to perform operations comprising: creating one or more virtual machines or containers; and executing a plurality of microservices via the one or more virtual machines or containers, wherein the plurality of microservices includes: a smart contract execution microservice configured to execute a smart contract after receiving a smart contract microservice request; and a load balancer microservice configured to distribute hardware processing load associated with the smart contract execution microservice across the plurality of hardware processors.

Abstract: The present disclosure relates to systems and methods for distributed complaint addressing ledger in virtual distributed ledger networks. In one embodiment, a processor- implemented method is disclosed, comprising auditing, by a slave consumer node among a plurality of slave consumer nodes in a virtual distributed ledger technology network each associated with an asynchronously updated slave ledger, its associated slave ledger to identify an issue associated with a past transaction; lodging, by the slave consumer node identifying the issue, a complaint with a distributed complaint addressing ledger associated with the virtual distributed ledger technology network; retrieving, by a master producer node, the issue; resolving, by the master producer node, the issue, wherein the master producer node is associated with a master ledger storing a transaction ID associated with the past transaction; and recording, by the master producer node, the resolution in the distributed complaint addressing ledger.

Abstract: The present disclosure relates to systems and methods for asynchronous delayed updates in virtual distributed ledger networks. In one embodiment, a processor-implemented method is disclosed, comprising receiving, at a first virtual machine or container associated with a master ledger, a transaction request comprising transaction information; updating the master ledger with the transaction information; communicating, by the first virtual machine or container, with one or more additional virtual machines or containers each associated with a slave ledger an update from the master ledger to the slave ledgers at one or more times determined based on a delay tolerance associated with each of the one or more additional virtual machines or containers; and updating the one or more additional virtual machines or containers based on the communicated update of the master ledger.

Abstract: The disclosed embodiments relate to virtual distributed ledger networks provisioning using distributed ledger technology. In one embodiment, a system is disclosed, comprising a hardware processor and a memory device storing instructions executable by the hardware processor to perform operations. The operations comprise creating one or more virtual machines, and executing a plurality of microservices via the one or more virtual machines. At least two of the plurality of microservices are associated with different distributed ledger technology networks.

Abstract: The disclosed embodiments relate to virtual distributed ledger networks provisioning using distributed ledger technology. In one embodiment, a system is disclosed, comprising a hardware processor and a memory device storing instructions executable by the hardware processor to perform operations. The operations comprise creating one or more virtual machines, and executing a plurality of microservices via the one or more virtual machines. At least two of the plurality of microservices are associated with different distributed ledger technology networks.

Abstract: The disclosed embodiments relate to virtual distributed ledger networks provisioning using distributed ledger technology. In one embodiment, a system is disclosed, comprising a hardware processor and a memory device storing instructions executable by the hardware processor to perform operations. The operations comprise creating one or more virtual machines, and executing a plurality of microservices via the one or more virtual machines. At least two of the plurality of microservices are associated with different distributed ledger technology networks.

Abstract: Low-performing cells, serving a telecom deployment in a given geographical area, are commonly identified by the telecom operators based on one or more Network KPIs computed for each of the cells being part of the deployment. However, most of these KPIs describe the overall state of affairs of the cell without any insight into the user usage profile of the cell. The present disclosure proposes a novel method to adjust the network KPIs based on scores of the macro cell or the small cell (101) with the user usage profile of the cell to obtain the user correlated network scores of the cells and prioritize the low-performing cells in the network in order of degree of impact on users and their usage. Another aspect of this disclosure is that it shall predict and compute a realistic user score to get predictive insights into user profiles for solutions and preventive measures.

Abstract: The present disclosure relates to a system comprising an alarm management module (AMM) that receives an alarm raised by an application running on a network function virtualization unit (NFVU) infrastructure, said NFVU infrastructure comprising a virtualization layer; and facilitates enrichment of the received alarm with NFVU infrastructure specific information based on a physical-and-virtual inventory associated with the NFVU infrastructure, said NFVU infrastructure specific information pertaining to hardware and virtual resources of the NFVU infrastructure that are involved in running said application.