Tata Consultancy Services Limited

Hewlett-packard Development Company, L.P.

Cisco Technology, Inc.

Tata Consultancy Sendees Limited

Garima Mishra

Arpan Pal

Balamuralidhar Purushothaman

Hemant Kumar Rath

Bighnaraj Panigrahi

Shameemraj Mohinuddin Nadaf

Sumanta Patro

Nikita Trivedi

Rohit Dev Gupta

Abhijan Bhattacharyya

Samar Shailendra

Jyotirmoy Karjee

Manjunatha Reddy Shivashankara

Sipra Behera

Ramesh Babu Darla

Shilpa Agrawal

Balamurlidhar Purushothaman

Shameem Raj Mohinuddin Nadaf

Jyotirm Karjee

Embodiments herein describe preventing a pluggable module from connecting to a chassis until ensuring there is no damage on the pluggable module, the chassis, or both. In one embodiment, the chassis includes a blocking element that prevents or blocks the pluggable module from mating with the chassis. The chassis can also include a camera for capturing an image of the pluggable module to determine whether there is damage to its connection elements (e.g., pins). If not, the chassis can release the locking pin to permit the pluggable module to mate with connection elements on the chassis.

Module connector damage detection and controlled insertion

Fifth generation and beyond (5G+) systems are expected to adopt new network architectures, services, and deployment schemes for compatibility with the latest technologies and end user's needs. With increase in user equipment (UE), also come variety of advanced applications and use-cases, wherein each application type has its own KPI requirements. Existing resource allocation schemes in cellular networks are not able to handle such dynamic requirements due to which network slice can lead to unwanted mismanagement of resources. Present application provides systems and methods for application-aware dynamic slicing in radio access network (RAN), wherein RAN slicing is proactively managed by learning historical slice demands and consumptions. Once slices are created, the system allocates resources to user equipment by following optimal inter-slice and intra-slice mechanisms based on application type(s), traffic demand(s) and wireless characteristics of UE. Upon resource allocation the UE are further monitored to avoid resource misutilization and resource wastage.

Systems and methods for application-aware dynamic slicing in radio access network (RAN)

This disclosure relates to method and system for improving Wi-Fi performance in co-existing communication networks using learning methodologies. In recent times, most of telecom operators have expressed interest in deploying LTE (Long-Term Evolution) over the unlicensed spectrum. However, simultaneous use of unlicensed band (by operators using LTE and other Wi-Fi) presents coexistence challenges in terms of network performance especially for the Wi-Fi. The disclosed techniques enable improving the Wi-Fi performance in the co-existing communication networks based on learning methodologies. The disclosed techniques improve Wi-Fi performance based on several steps that includes detecting an interfering channel, and further identifying an optimal channel to mitigate the interference caused by the detected interfering channel. The optimal channel is identified based on an optimization technique, wherein the optimization technique is a reinforcement learning technique based on a Q-learning.

Method and system for improving Wi-Fi performance in co-existing communication networks

State of the art networking solutions are tightly coupled and proprietary in nature due to multiple vendors in the networking domain. Embodiments of the present disclosure provide a method and system for management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices. The method enables a platform for automatically and dynamically identifying appropriate group of microservices in accordance with network type and service type specified by the user, thus providing a solution that generates network aware microservices for each network in the heterogeneous network landscape. Furthermore, the system manages the identified microservices for each of the network by managing the life cycle of these microservices. The right life cycle management and co-ordination of the microservices for the network is in-line with desired goals/business logic, in a reliable and scalable manner, in heterogeneous network environments.

Management and orchestration of heterogeneous network environment using dynamic, robust and network aware microservices

In the field of Internet of Things understanding need of applications and translating them to network parameters and protocol parameters is a major challenge. This disclosure addresses problem of enabling network services by cognitive sense-analyze-decide-respond framework. A processor implemented method is provided for enabling network aware applications and applications aware networks by a sense analyze decide respond (SADR) framework. The processor implemented method includes sensing, at least one application parameter and at least one network parameter to obtain a plurality of sensed information; analyzing, the plurality of sensed information is filtered and synchronized to generate a plurality of derived parameters; determining, a plurality of rules based on the plurality of derived parameters; validating, the plurality of rules for a plurality of scenarios to obtain plurality of decisions; and enabling, at least one of (i) network, (ii) application and (iii) protocol control based on the plurality of decisions.

System and method for enabling intelligent network services by cognitive sense-analyze-decide-respond framework

A flexible user input system, comprising a computing system having a display device and a flexible user input device with a touch screen display member, the flexible user input device configured to concurrently display at least two user input interface representations.

Flexible user input device system

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Bengaluru, India

Garima Mishra