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A HIGH-PERFORMANCE VLSI ARCHITECTURE AND SYSTEM FOR OPTIMIZED 5G NETWORK APPLICATIONS

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A HIGH-PERFORMANCE VLSI ARCHITECTURE AND SYSTEM FOR OPTIMIZED 5G NETWORK APPLICATIONS

ORDINARY APPLICATION

Published

date

Filed on 23 November 2024

Abstract

The invention presents a suite of advanced VLSI-based components specifically designed to enhance the performance of 5G network infrastructure. It includes high-performance multi-core processors, dedicated digital signal processing (DSP) cores, integrated hardware accelerators, and an optimized memory hierarchy, all tailored to meet the stringent requirements of 5G technology. These components leverage cutting-edge VLSI technology to deliver superior performance, low latency, and energy efficiency, facilitating the deployment and operation of 5G networks. The design also incorporates dynamic voltage and frequency scaling (DVFS) for power efficiency, support for millimeter-wave (mmWave) communications, massive MIMO technology, and advanced system-on-chip (SoC) integration with 3D IC packaging. This comprehensive VLSI solution ensures robust connectivity, efficient data processing, and scalability for various applications, from small cells to macrocell base stations and 5G-enabled IoT devices, thus significantly advancing the capabilities of modern telecommunications infrastructure.

Patent Information

Application ID202441091340
Invention FieldCOMPUTER SCIENCE
Date of Application23/11/2024
Publication Number48/2024

Inventors

NameAddressCountryNationality
Dr. Anirban ChakrabortyS/o. Mr. Biswajit Chakraborty, Scientist ‘C’, Aeronautical Development Establishment, DRDO, XMH2+QRP, Suranjan Das Road, PO, New Tippasandra, Bengaluru - 560075, Karnataka, India.IndiaIndia
Dr. Tirthankar DattaS/o. Prof. Phani Bhusan Datta, Senior Professor, Department of Electronics and Communication Engineering, Bengal Institute of Technology & Management, BB - 48, Parul Smriti, Sukanta Pally, Opposite to Jadunath High School, Krishnapur - 700102, Kolkata, India.IndiaIndia
Dr. Robin Prakash MathurS/o. Mr. Amul Prakash Mathur, Associate Professor, Department of Computer Science Engineering, Lovely Professional University, Phagwara, Kapurthala - 144411, Punjab, India.IndiaIndia
Dr. Bikash Ranjan BeheraS/o. Mr. Hajari Behera, Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, No. 42, Avadi - Vel Tech Road, Vel Nagar, Avadi, Tiruvallur - 600062,Tamil Nadu, India.IndiaIndia
Dr. Sathesh Raaj. RS/o. Mr. R. Ravindran, Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, No. 42, Avadi - Vel Tech Road, Vel Nagar, Avadi, Tiruvallur - 600062,Tamil Nadu, India.IndiaIndia
Satyabrata SinghaS/o. Late. Laxmi Kumar Singha, Assistant Professor, Department of Electronics & Communication Engineering, Bharat Institute of Engineering and Technology, Mangalpalle, Ibrahimaptnam, Ranga Reddy – 501510, Telangana, India.IndiaIndia
Tarkesh Kumar MahatoS/o. Mr. Dukhan Mahato, Student, Department of Electrical Engineering, Birsa Institute of Technology, Sindri, Sindri, Dhanbad - 828122, Jharkhand, India.IndiaIndia
Poonam LakraD/o. Dr. Ram Kishor Bhagat, Lecturer, Department of Electrical Engineering, Government Polytechnic Ranchi, Opposite to Barnabas Hospital Church Road Ranchi, Ranchi – 834001, Jharkhand, India.IndiaIndia
Mriganka ChakrabortyS/o. Mr. Milan Chakraborty, Assistant Professor, Department of Information Technology, Haldia Institute of Technology, Hatiberia, ICARE Complex, Haldia, Purba Medinipur - 721657, West Bengal, India.IndiaIndia

Applicants

NameAddressCountryNationality
Dr. Anirban ChakrabortyS/o. Mr. Biswajit Chakraborty, Scientist ‘C’, Aeronautical Development Establishment, DRDO, XMH2+QRP, Suranjan Das Road, PO, New Tippasandra, Bengaluru - 560075, Karnataka, India.IndiaIndia
Dr. Tirthankar DattaS/o. Prof. Phani Bhusan Datta, Senior Professor, Department of Electronics and Communication Engineering, Bengal Institute of Technology & Management, BB - 48, Parul Smriti, Sukanta Pally, Opposite to Jadunath High School, Krishnapur - 700102, Kolkata, India.IndiaIndia
Dr. Robin Prakash MathurS/o. Mr. Amul Prakash Mathur, Associate Professor, Department of Computer Science Engineering, Lovely Professional University, Phagwara, Kapurthala - 144411, Punjab, India.IndiaIndia
Dr. Bikash Ranjan BeheraS/o. Mr. Hajari Behera, Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, No. 42, Avadi - Vel Tech Road, Vel Nagar, Avadi, Tiruvallur - 600062,Tamil Nadu, India.IndiaIndia
Dr. Sathesh Raaj. RS/o. Mr. R. Ravindran, Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, No. 42, Avadi - Vel Tech Road, Vel Nagar, Avadi, Tiruvallur - 600062,Tamil Nadu, India.IndiaIndia
Satyabrata SinghaS/o. Late. Laxmi Kumar Singha, Assistant Professor, Department of Electronics & Communication Engineering, Bharat Institute of Engineering and Technology, Mangalpalle, Ibrahimaptnam, Ranga Reddy – 501510, Telangana, India.IndiaIndia
Tarkesh Kumar MahatoS/o. Mr. Dukhan Mahato, Student, Department of Electrical Engineering, Birsa Institute of Technology, Sindri, Sindri, Dhanbad - 828122, Jharkhand, India.IndiaIndia
Poonam LakraD/o. Dr. Ram Kishor Bhagat, Lecturer, Department of Electrical Engineering, Government Polytechnic Ranchi, Opposite to Barnabas Hospital Church Road Ranchi, Ranchi – 834001, Jharkhand, India.IndiaIndia
Mriganka ChakrabortyS/o. Mr. Milan Chakraborty, Assistant Professor, Department of Information Technology, Haldia Institute of Technology, Hatiberia, ICARE Complex, Haldia, Purba Medinipur - 721657, West Bengal, India.IndiaIndia

Specification

Description:[0016].The following description provides specific details of certain aspects of the disclosure illustrated in the drawings to provide a thorough understanding of those aspects. It should be recognized, however, that the present disclosure can be reflected in additional aspects and the disclosure may be practiced without some of the details in the following description.
[0017].The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. In the drawings, the sizes of components may be exaggerated for clarity.
[0018].It is understood that when an element or layer is referred to as being "on," "connected to," or "coupled to" another element or layer, it can be directly on, connected to, or coupled to the other element or layer or intervening elements or layers that may be present. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
[0019].The subject matter of example aspects, as disclosed herein, is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventor/inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different features or combinations of features similar to the ones described in this document, in conjunction with other technologies.
[0020].The invention presents a suite of advanced VLSI-based components specifically designed to enhance the performance of 5G network infrastructure. It includes high-performance multi-core processors, dedicated digital signal processing (DSP) cores, integrated hardware accelerators, and an optimized memory hierarchy, all tailored to meet the stringent requirements of 5G technology. These components leverage cutting-edge VLSI technology to deliver superior performance, low latency, and energy efficiency, facilitating the deployment and operation of 5G networks. The design also incorporates dynamic voltage and frequency scaling (DVFS) for power efficiency, support for millimeter-wave (mmWave) communications, massive MIMO technology, and advanced system-on-chip (SoC) integration with 3D IC packaging. This comprehensive VLSI solution ensures robust connectivity, efficient data processing, and scalability for various applications, from small cells to macrocell base stations and 5G-enabled IoT devices, thus significantly advancing the capabilities of modern telecommunications infrastructure.
[0021].The rapid evolution of 5G technology demands highly efficient and integrated circuits capable of handling increased data rates, lower latency, and higher connectivity requirements. Traditional VLSI designs often fall short in meeting these stringent requirements due to limitations in power efficiency, processing speed, and integration complexity. The proliferation of 5G networks has introduced new challenges for the telecommunications industry, necessitating innovative VLSI architectures that can effectively support the advanced features and performance demands of 5G systems.
[0022].5G networks are characterized by their ability to deliver ultra-fast data speeds, low latency, and massive connectivity, supporting a wide range of applications from enhanced mobile broadband to massive Internet of Things (IoT) and ultra-reliable low-latency communications. These applications require VLSI components that can process large volumes of data quickly and efficiently, maintain robust performance under varying conditions, and operate within the power constraints typical of modern electronic devices.
[0023].The limitations of existing VLSI designs in addressing these requirements highlight the need for advancements in VLSI technology. Current designs often struggle with power consumption and heat dissipation, impacting their overall efficiency and reliability. Additionally, the integration of multiple functional units into a compact form factor without compromising performance remains a significant challenge.
[0024].This invention addresses these challenges by providing an advanced VLSI design optimized for 5G network applications. It incorporates novel architectural enhancements, power management techniques, and integration strategies to deliver superior performance, energy efficiency, and compactness. By addressing the critical needs of modern 5G systems, this advanced VLSI design aims to facilitate the deployment and operation of 5G networks, ensuring they meet the high performance and reliability standards required for next-generation telecommunications infrastructure.
[0025].The present invention introduces an advanced VLSI (Very Large Scale Integration) design optimized specifically for 5G network applications, addressing the stringent performance, power efficiency, and integration requirements of modern telecommunications infrastructure. This VLSI design incorporates several novel architectural enhancements, power management techniques, and integration strategies to deliver superior performance, energy efficiency, and compactness.
[0026].High-Performance Multi-Core CPU at the core of the VLSI design is a high-performance multi-core Central Processing Unit (CPU) capable of handling the massive data throughput and low latency demands of 5G networks. The multi-core architecture allows for parallel processing, significantly reducing latency and increasing data processing speed. Each core is optimized for high efficiency, ensuring that the CPU can manage multiple data streams simultaneously without compromising performance. This capability is critical for 5G applications, which require real-time processing of vast amounts of data.
[0027].Dedicated DSP Cores complementing the CPU are dedicated Digital Signal Processing (DSP) cores optimized for essential 5G signal processing tasks such as modulation, demodulation, encoding, and decoding. These DSP cores are designed to execute these tasks with high efficiency, ensuring robust performance in real-time communication scenarios. By offloading signal processing tasks from the general-purpose CPU to specialized DSP cores, the system achieves higher overall efficiency and performance.
[0028].Integrated Hardware Accelerators integrated hardware accelerators form another crucial component of the VLSI design. These accelerators are specialized for specific 5G tasks, including encryption, error correction, and beamforming. By offloading these tasks from the general-purpose CPU, the accelerators enhance overall system efficiency and performance. The hardware accelerators are optimized for low power consumption and high throughput, ensuring they meet the demanding requirements of 5G protocols. For instance, the encryption/decryption accelerators ensure secure data transmission, while error correction accelerators improve data integrity and reliability.
[0029].Optimized Memory Hierarchy the memory hierarchy within the VLSI design is meticulously optimized to ensure high data throughput, reduced latency, and efficient power consumption. It includes high-speed SRAM (Static Random-Access Memory) and DRAM (Dynamic Random-Access Memory), arranged to facilitate quick data access and processing. The optimized memory architecture supports the high-performance computing needs of 5G applications, enabling seamless data flow and minimizing bottlenecks. This architecture includes multiple levels of cache memory, ensuring that frequently accessed data is available at the highest speed, thus improving overall system performance.
[0030].Dynamic Voltage and Frequency Scaling (DVFS) power efficiency is a critical consideration in the VLSI design, addressed through the implementation of Dynamic Voltage and Frequency Scaling (DVFS) techniques. DVFS allows the system to dynamically adjust the voltage and frequency of the processor cores based on workload demands, significantly reducing power consumption during low-demand periods without compromising performance during peak operations. Additionally, power gating techniques are employed to selectively shut down inactive components, further minimizing leakage power. These power management strategies ensure that the VLSI design operates efficiently, extending battery life in mobile devices and reducing overall power consumption in larger systems.
[0031].Support for Millimeter-Wave (mmWave) and Massive MIMO the VLSI design also includes support for millimeter-wave (mmWave) communications and massive Multiple Input Multiple Output (MIMO) technology. These enhancements are vital for handling the high-frequency signals and large antenna arrays used in 5G networks. The design incorporates high-frequency transceiver components capable of operating in the mmWave spectrum (30-300 GHz), ensuring efficient data transmission at high bandwidths. Support for massive MIMO technology enhances spatial multiplexing, improving signal quality, reliability, and throughput in dense communication environments. This capability is essential for achieving the high data rates and low latency required by 5G networks.
[0032].Integration and Packaging Techniques integration and packaging techniques play a significant role in the VLSI design. The design employs System-on-Chip (SoC) integration, which combines multiple functional units, including the CPU, DSP cores, accelerators, and memory, into a single chip. This integration reduces the overall footprint and enhances performance. Additionally, advanced 3D Integrated Circuit (IC) packaging techniques are utilized to stack multiple layers of circuitry vertically. This vertical stacking reduces interconnect lengths, improves signal propagation speeds, and enhances heat dissipation, making the VLSI design ideal for high-performance applications. The use of advanced packaging materials and techniques ensures that the VLSI design maintains optimal thermal performance, preventing overheating and ensuring long-term reliability.
[0033].Custom Firmware and Driver Support to ensure seamless integration with 5G network infrastructure, the VLSI design includes custom firmware and driver support. The custom firmware optimizes communication protocols and system-level control, facilitating efficient interaction with 5G base stations, core networks, and edge devices. Specialized drivers manage the hardware components, ensuring low-latency data processing, resource allocation, and power management in line with 5G standards. These software solutions enable advanced features such as dynamic spectrum allocation, beamforming, and network slicing, enhancing the overall functionality and performance of the VLSI design within 5G networks. The firmware and drivers are continually updated to incorporate the latest advancements in 5G technology, ensuring that the VLSI design remains compatible with evolving network standards and requirements.
[0034].Advanced Cooling Solutions thermal management is another critical aspect of the VLSI design. The integration of micro-cooling systems and advanced heat dissipation techniques ensures that the system operates within safe temperature ranges, even under high workloads. These cooling solutions are designed to be compact and efficient, providing effective thermal management without adding significant bulk to the overall design. This approach enhances the reliability and longevity of the VLSI components, ensuring consistent performance over time.
[0035].High-Density Interconnects the VLSI design incorporates high-density interconnects to enable high-speed data transfer between integrated components. These interconnects are engineered using advanced materials and optimized routing techniques to support data rates suitable for high-performance applications. The layout minimizes parasitic capacitance and resistance, enhancing signal integrity and reducing latency. This architecture is particularly beneficial for applications requiring rapid data processing and communication, such as next-generation computing and AI-driven systems. The high-density interconnects ensure that data can be transmitted quickly and efficiently between different parts of the chip, minimizing delays and maximizing throughput.
[0036].In summary, the advanced VLSI design presented in this invention is a comprehensive solution optimized for the demanding requirements of 5G networks. By incorporating high-performance multi-core processing, dedicated DSP cores, integrated hardware accelerators, an optimized memory hierarchy, advanced power management techniques, support for mmWave and massive MIMO, innovative integration and packaging strategies, custom firmware and drivers, advanced cooling solutions, and high-density interconnects, this VLSI design significantly enhances the performance, efficiency, and scalability of 5G network infrastructure. This invention represents a significant step forward in the evolution of VLSI technology, providing a robust and scalable platform for the next generation of telecommunications systems. , Claims:1.An advanced VLSI design for 5G network applications, comprising:
a) A high-performance multi-core Central Processing Unit (CPU),
b) Dedicated Digital Signal Processing (DSP) cores for efficient signal processing,
c) Integrated hardware accelerators designed to perform specific tasks associated with 5G communication protocols,
d) An optimized memory hierarchy ensuring high data throughput, reduced latency, and efficient power consumption.
2.The VLSI design as claimed in claim 1, further comprising dynamic voltage and frequency scaling (DVFS) techniques for enhanced power efficiency.
3.The VLSI design as claimed in claim 1, wherein the design includes support for millimeter-wave (mmWave) communications and massive Multiple Input Multiple Output (MIMO) technology.
4.The VLSI design as claimed in claim 1, further comprising system-on-chip (SoC) integration and 3D integrated circuit (IC) packaging techniques to enhance performance, power efficiency, and scalability.
5.The VLSI design as claimed in claim 1, wherein the design includes high-density interconnects for high-speed data transfer between integrated components.
6.The VLSI design as claimed in claim 1, further comprising custom firmware and driver support for seamless integration with 5G network infrastructure, optimizing communication protocols, system-level control, and hardware component management.

Documents

NameDate
202441091340-Request for Withdrawal [17-12-2024(online)].pdf17/12/2024
202441091340-FORM-26 [25-11-2024(online)].pdf25/11/2024
202441091340-COMPLETE SPECIFICATION [23-11-2024(online)].pdf23/11/2024
202441091340-DRAWINGS [23-11-2024(online)].pdf23/11/2024
202441091340-ENDORSEMENT BY INVENTORS [23-11-2024(online)].pdf23/11/2024
202441091340-FORM 1 [23-11-2024(online)].pdf23/11/2024
202441091340-FORM 3 [23-11-2024(online)].pdf23/11/2024
202441091340-FORM-5 [23-11-2024(online)].pdf23/11/2024
202441091340-FORM-9 [23-11-2024(online)].pdf23/11/2024

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