Saankhya Labs Pvt. Ltd.

Saankhya Labs Private Limited

Other

Tamiras Per Pte. Ltd., LLC

Genesis Microchip Corporation

Tejas Networks Limited

Vayavya Labs Private Limited

Vayavya Technologies Private Limited

Parag Naik

Anindya Saha

Vishwakumara Kayargadde

Gururaj Padaki

Sandeep Pendharkar

Arindam Chakraborty

Venugopal Kolathur

Subrahmanya Kondageri Shankaraiah

Saurabh Mishra

Sunil Hosur Ramesh

Subramanian Krishnan

Karthick Gururaj

Hemant Mallapur

Susmit Kumar Datta

S Harish Krishnan

Abdul Aziz

Makarand Kulkarni

Sunil Hr

Ravindragouda Kalagouda Patil

Mark Andrew Aitken

Shrinivas Subramania Bhat

Gururaj Padki

Santosh Billava

Deepanjan Kar

Vivek Kimbahune

Ragesh Thottathil Ramachandran

Preetham Uthaiah

Yogesh Singh

Deepak Samaga

Makarand Kulkami

Sudarshan V

Vishwakumara Kayergadde

A virtual Radio Access Network (vRAN) system () for provisioning a virtual Radio Access Network (RAN) that is portable across one or more RAN hardware platforms is provided. The virtual Radio Access Network (vRAN) system () includes a waveform development kit (WDK) (), and a waveform execution environment (). The waveform development kit () defines at least one portable Radio Access Network (RAN) application into a form that is instantiated on a RAN hardware (). The waveform execution environment () (i) monitors real-time schedulable resources in real-time, and (ii) collects one or more statistics and monitors the one or more statistics for network automation. The waveform execution environment () includes a RAN hypervisor () that virtualizes at least one attribute of a spectral resource required to provision the RAN that is portable across at least one hardware platform of the one or more RAN hardware platforms in the RAN hardware.

System and method for provisioning a portable virtual RAN across a plurality of RAN hardware platforms

A radio mapping architecture for applying machine learning techniques to mobile wireless radio access networks, including a base station, a user equipment (UE), and a network is provided. The radio mapping architecture includes a spectrum monitoring unit and a server and utilizes the UE. The server includes a radio mapping database and a Machine Learning module. The UE or the spectrum monitoring unit captures Radio parameters to derive an input schema for the radio mapping database. The spectrum monitoring unit extracts the Radio parameters that correspond to the base station and the UE and updates them in the radio mapping database periodically. The input schema for the radio mapping database is updated with the Radio parameters sensed by the spectrum monitoring unit and the UE.

Radio mapping architecture for applying machine learning techniques to wireless radio access networks

A system for offloading traffic from a cellular network to a broadcast network is provided. The offloading mechanism caters to both unicast and broadcast traffic. The system includes a converged cellular core network, World Wide Web, a CDN, a Broadcast Offload Packet Core (BO-PC), a cellular base station, a Broadcast Radio Head, and a converged UE. The converged cellular core network includes an enhanced packet core, a policy rules engine and a packet inspection and steering unit. The BO-PC includes a Broadcast Proxy, a subscriber database, a Broadcast Offload Service Center, a Broadcast Offload Gateway and an analytics engine. For offloading the unicast traffic, the packet inspection and steering unit identifies sessions that are offloaded for supporting offload of the traffic from the converged cellular core network to the broadcast network.

System and method for offloading traffic from a cellular network to a broadcast network

A system and method for switching one or more User Equipment (UEs)A-N from a unicast mode to a broadcast or multicast mode to transmit a streaming media content to the UEsA-N is provided. The system includes, an Over-the-top (OTT) platform, a CDN, the UEsA-N, a cellular core network, one-to-many offload core, an analytics engine, a database, one-to-many transmitter, a real time switching module, a Cellular base stationand a user specified rules module. The analytics enginecontinuously analyzes real-time and historical data stored in the databaseto identify the UEsA-N that receive a streaming media content through the unicast mode and the streaming media content to be offloaded. An offload is a process by which certain portions of the streaming media content is shifted from the unicast mode to the broadcast or multicast mode.

System and method for out-of-order transmission stream of content via ambient intelligent one-to-many transmission mode

A system for deploying a Radio Access Network Containerized Network Function (RAN CNF) that is portable across a plurality of RAN hardware platforms is provided. The system includes a Software Development Kit (SDK), a schedule generator and a scheduler runtime unit. The SDK enables providing a RAN functionality in a physical layer (L1) software code in a platform-independent manner as a RAN pipeline of a plurality of RAN tasks. The RAN tasks include a first and second RAN task. The first RAN task invokes an Application programming interface (API) from a plurality of Application Programming Interfaces to call to the second RAN task. The schedule generator generates a schedule for allocating a node in the RAN pipeline to one or more processing elements. The scheduler runtime unit loads the RAN tasks corresponding to nodes in the RAN pipeline, based on the schedule generated by the schedule generator.

Deploying a radio access network containerized network function (RAN CNF) that is portable across a plurality of RAN hardware platforms

A method for enabling services and functionalities across device types and service providers within a communication device includes processing a first device function type, a first service type, and a first cost function from the device, obtaining a first firmware and communicating the first firmware to the communication device for execution, activating a first set of service enabling instructions to enable a first service and a first functionality associated with the first firmware when the first firmware is executed on the communication device, processing a second device function type, a second service type, and a second cost function from the device, obtaining a second firmware to be executed on the device, communicating the second firmware to the device, and activating a second set of service enabling instructions to enable a second service and a second functionality associated with the second firmware when the second firmware is executed on the device.

System and method for enabling and performing services and functionalities across device types and service providers within a communication device

A system and method for dynamically switching transmission of selected data from cellular core network to unidirectional point-to-multipoint downlink network or from unidirectional point-to-multipoint downlink network to cellular core network based on traffic flow analysis is provided. The system includes a cellular packet core, a broadcast offload packet core (BO-PC), and a load manager. The cellular packet corecontrols a cellular radio access network (RAN)for providing bidirectional connectivity to a converged user equipment (UE) () to transmit or receive selected data through the cellular packet coreand the RAN. The BO-PCcontrols a broadcast radio access network (RAN). The broadcast radio access network (RAN) includes at least one Broadcast Radio Head (BRH)for providing unidirectional downlink path to the converged user equipment (UE)to receive selected data through the at least one Broadcast Radio Heads (BRH)

System and method for dynamically switching transmission of data from cellular to unidirectional point-to-multipoint network

A system for improving indoor coverage of cellular reception is provided. The system includes an Intelligent receiver and a Pico transmitter. The intelligent receiver demodulates a signal received from a Broadcast radio head (BRH) with a HPHT or a LPLT toplogy through an outdoor high gain rooftop antenna that is externally connected to the intelligent receiver. The intelligent receiver includes an artificial intelligence (AI) or Machine learning (ML) based indoor coverage monitoring unit and a Pico transmitter application. The AI/ML based indoor coverage monitoring unit continuously monitors cellular reception factors of indoor user devices. The AI/ML based indoor coverage monitoring unit predicts an optimal indoor modulation profile and selects a required modulation index required for the indoor user devices. The Pico transmitter application re-broadcasts or relays the demodulated signal, based on an optimal indoor modulation profile required for the indoor user devices.

System and method for improving indoor coverage of cellular reception using a smart television

A method for operating a hardware-software interface (HSI) executable specification unit by means of an executable hardware-software interface (HSI) specification for a computing device is provided. The executable HSI specification is a form of a Device Programming Specification (DPS). The HSI executable specification unit includes a HSI analyser, at least one skeletal driver and a HSI executable specification interpreter. The method includes (i) capturing at least one HSI for generating the executable HSI specification, (ii) analyzing at least one section of the DPS to determine sequences that are required for executing the executable HSI specification, (iii) parsing, using the HSI analyzer, the DPS into an intermediate form, (iv) verifying if an intermediate representation (IR) for each of the sequences to be invoked in at least one skeletal driver Application Programming Interface (API) is present and (v) translating the sequences of the DPS into at least one hardware-software interface (HSI) intermediate representation (IR).

System and method for generating an executable hardware-software interface specification

A system for dynamically offloading data and video traffic to a broadcast offload core network from a cellular network or to the cellular network from the broadcast offload core network is provided. The system includes an analytics engine, a load manager, and a radio access network (RAN). The analytics engine captures geographical radio frequency (RF) information from a geographical RF information database. The geographical RF information includes an operator infrastructure information, a physical terrain information, a subscriber information, a coverage information, a signal quality information, and telecom traffic patterns. The analytics engine determines whether to offload the data and the video traffic to at least one of a unidirectional downlink network from a unicast network or the unicast network from the unidirectional downlink network by analyzing a hybrid cellular user equipment from a particular geographical location trying to access the data or video content.

System and method for offloading data and video traffic to a supplemental downlink overlay network

A method and system of dynamically designing and operating an optimal communication network configuration is provided. The method includes the steps of (a) gathering a pre-saved data associated with communication network and/or network devices from a database, or a real-time data associated with at least one of the communication network and the network devices, (b) generating an optimal network configuration by selecting a first and a second network optimization parameters based on gathered data, designing an optimal network configuration to optimize the first network optimization parameter with respect to the second network optimization parameter based on gathered data, and generating network implementation instructions for implementing the designed optimal network configuration, and (c) adapting at least one network device to operate in compliance with the designed optimal network configuration based on the generated instructions by transmitting the instructions to the network devices and by executing the instructions at the network devices.

Method and system of dynamically designing and operating an optimal communication network configuration

Various methods and systems for establishing a connection between a user device and a base station (BS) in a dynamically self-optimizing communication network and methods and systems for handover of the user device from a first BS to a second BS is disclosed. In one embodiment, the method for establishing connection includes initializing user device, identifying a channel and a modulation scheme, receiving virtual machine (VM) primitives and registering by user device with the network based on the VM primitives. The method of handover includes generating by the first BS, a network implementation instruction for user device to adapt to second BS, downloading the network implementation instruction to user device to provide information regarding when to start executing the instruction, communicating by first BS to second BS an intimation regarding completion of handover of user device and informing second BS as to when to take over the user device.

Method and system of registering a user device with a dynami-cally self-optimizing communication network

A system for validating a hardware platform is provided. The system includes a database that stores one or more test specifications, a compiler that generates a target image based on (i) a device driver obtained from a device driver generator, (ii) a platform independent target application code, (iii) a kernel source, and (iv) a run time environment, and a software driven validation generator that analyzes the run time specification and the device programming specification and generates (i) one or more test cases based on (a) the one or more test specifications, and (b) the device programming specification, and (ii) a control software based on the test cases. The test cases include configurations that are specific to the hardware platform. The hardware platform is validated based on (i) an execution of the target image and the control software on the hardware platform, and (ii) the one or more test cases.

Hardware platform validation

A method of generating and validating a device driver for a hardware device is provided. The method include (i) dynamically querying the hardware device for a device programming specification, (ii) dynamically querying a run time environment for a run time specification, (iii) obtaining the device programming specification that is specific to the hardware device, (iv) obtaining the run time specification that is specific to the hardware device and the run time environment, (v) dynamically synthesizing a device driver, by a device driver generation tool to obtain a synthesized device driver, (vi) automatically testing, by the device driver generation tool, the synthesized device driver based on a device class of the hardware device, and (vii) automatically evaluating, by the device driver generation tool, a performance of the synthesized driver with respect to standard performance parameters for the device class of the hardware device for validating the synthesized device driver.

Run time generation and functionality validation of device drivers

A method for implementing a digital filter is provided. The method includes (a) determining a bit-width of an incoming data sample of an incoming signal by measuring a distance between a leading zero or one of the incoming data sample and a trailing zero of the incoming data sample. The incoming data sample is obtained by sampling the incoming signal at a pre-defined time interval, (b) obtaining bit-width multipliers with variable bit-widths based on a first probability distribution function (PDF) of bit-widths of incoming data samples, (c) allocating the incoming data sample and a filter coefficient based on the bit-width of the incoming data sample and a bit-width of the filter coefficient to one bit-width multiplier of the bit-width multipliers, and (d) performing a multiply operation of a Multiply and Accumulate (MAC) operation on the one bit-width multiplier to generate an output of the digital filter.

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Bengaluru, India

Parag Naik