All IPs > Wireline Communication > Optical/Telecom
In the realm of wireline communication, Optical and Telecom semiconductor IPs play a pivotal role in ensuring robust connectivity and high-speed data transfer across global networks. As the demand for faster and more reliable communication channels grows, these semiconductor IPs provide the foundational technology for modern telecommunication systems and fiber optic networks.
Optical/Telecom semiconductor IPs are critical for enabling the efficient transmission and reception of data over optical fibers. These IPs include various components such as optical transceivers, modulators, and detectors, which convert electronic signals into optical signals and vice versa. This conversion is essential for high-speed data transmission over long distances, a crucial requirement for both enterprise and consumer telecommunications.
Beyond merely converting signals, Optical/Telecom semiconductor IPs must handle complex signal processing tasks to reduce errors, maximize bandwidth, and optimize data integrity. This includes forward error correction (FEC), signal modulation, and wavelength division multiplexing (WDM) technologies. Such capabilities are vital for sustaining the rapidly increasing data loads due to burgeoning internet usage, video streaming, and cloud computing services.
Products in this category of semiconductor IP range from highly sophisticated optical communication modules to integration-ready telecom processors. They are developed to support a broad array of applications, such as backbone internet infrastructures, 5G networks, data centers, and undersea cable systems. These cutting-edge solutions ensure that network providers can offer seamless and reliable service, empowering users with exceptional connectivity experiences. By leveraging advanced Optical/Telecom semiconductor IPs, industries can continue to innovate and meet the ever-evolving demands of a digitally connected world.
The ntLDPC_G98042 (17664,14592) IP Core is defined in IEEE 802.3ca-2020, it is used by ITU-T G.9804.2-09.2021 standard document and it is based on an implementation of QC-LDPC Quasi-Cyclic LDPC Codes. These LDPC codes are based on block-structured LDPC codes with circular block matrices. The entire parity check matrix can be partitioned into an array of block matrices; each block matrix is either a zero matrix or a right cyclic shift of an identity matrix. The parity check matrix designed in this way can be conveniently represented by a base matrix represented by cyclic shifts. The main advantage of this feature is that they offer high throughput at low implementation complexity. The ntLDPCΕ_G98042 encoder IP implements a 256-bit parallel systematic LDPC encoder. The Generator LDPC Matrix is calculated off-line, compressed and stored in ROM. It is partitioned to 12 layers and each layer, when multiplied by the 14592 payload block, produces 256 parity bits. The multiplier architecture may be parameterized before synthesis to generate multiple multiplier instances [1:4,6], in order to effectively process multiple layers in parallel and improve the IP throughput rate. Shortened blocks are supported with granularity of 128-bit boundaries and 384 or 512 parity bits puncturing is also optionally supported. The ntLDPCD_G98042 decoder IP Core may optionally implement one of two approximations of the log-domain LDPC iterative decoding algorithm (Belief propagation) known as either Layered Offset Min-Sum Algorithm (OMS) or Layered Lambda-min Algorithm (LMIN). Selecting between the two algorithms presents a decoding performance vs. system resources utilization trade-off. The OMS algorithm is chosen for this implementation, given the high code rate of the Parity Check Matrix (PCM). The ntLDPCD_G98042 decoder IP implements a 256-bit parallel systematic LDPC layered decoder. Each layer corresponds to Z=256 expanded rows of the original LDPC matrix. Each layer element corresponds to the active ZxZ shifted identity sub-matrices within the layer. Each layer element is shifted accordingly and processed by the parallel decoding datapath unit, in order to update the layers’ LLR estimates and extrinsic information iteratively until the required number of decoding iterations has been run. The decoder IP also features a powerful optional syndrome check early termination (ET) criterion, to maintain identical error correction performance, while significantly increasing its throughput rate and/or reducing hardware cost. Additionally it reports how many decoding iterations have been performed when ET is activated, for system performance observation and calibration purposes. A top level architecture deployment wrapper allows to expand the parallelism degree of the decoder before synthesis, effec-tively implementing a trade-off between utilized area and throughput rate. Finally a simple, yet robust, flow control handshaking mechanism is included in both IPs, which is used to communicate the IPs availability to adjacent system components at 128-bit parallel bus interface. This logic is easily portable into any communication protocol, like AXI4 stream IF.
KPIT's Connected Vehicle Solutions redefine vehicular connectivity by focusing on robust software platforms and tools that enable seamless communication between vehicles and their environments. These solutions are designed to enhance the driving experience by providing real-time data exchange, ensuring vehicles stay informed and adaptive to changing conditions. The solutions encompass production-ready platforms that integrate advanced telematics, infotainment systems, and onboard diagnostics, making vehicles increasingly intelligent and user-friendly. By enabling real-time traffic updates, navigation assistance, and remote vehicle monitoring, these solutions offer a more connected, efficient, and safer driving experience. This technology empowers both drivers and manufacturers by providing critical insights through data analytics, ultimately leading to smarter vehicle operations. Furthermore, KPIT's solutions facilitate vehicle-to-everything (V2X) communication, which plays a crucial role in developing smart city infrastructure. This connectivity allows vehicles to interact with their surroundings, enhancing safety, reducing congestion, and promoting the efficient use of resources. The implementation of these systems is a testament to KPIT's commitment to advancing automotive technologies. KPIT continues to lead the evolution of connected vehicles by supporting automakers with the tools and expertise necessary to transform traditional vehicles into modern, interconnected entities. This positions KPIT as a trailblazer in crafting the future of automotive communication and integration.
EW6181 is an IP solution crafted for applications demanding extensive integration levels, offering flexibility by being licensable in various forms such as RTL, gate-level netlist, or GDS. Its design methodology focuses on delivering the lowest possible power consumption within the smallest footprint. The EW6181 effectively extends battery life for tags and modules due to its efficient component count and optimized Bill of Materials (BoM). Additionally, it is backed by robust firmware ensuring highly accurate and reliable location tracking while offering support and upgrades. The IP is particularly suitable for challenging application environments where precision and power efficiency are paramount, making it adaptable across different technology nodes given the availability of its RF frontend.
Convolutional FEC codes are very popular because of their powerful error correction capability and are especially suited for correcting random errors. The most effective decoding method for these codes is the soft decision Viterbi algorithm. ntVIT core is a high performance, fully configurable convolutional FEC core, comprised of a 1/N convolutional encoder, a variable code rate puncturer/depuncturer and a soft input Viterbi decoder. Depending on the application, the core can be configured for specific code parameters requirements. The highly configurable architecture makes it ideal for a wide range of applications. The convolutional encoder maps 1 input bit to N encoded bits, to generate a rate 1/N encoded bitstream. A puncturer can be optionally used to derive higher code rates from the 1/N mother code rate. On the encoder side, the puncturer deletes certain number of bits in the encoded data stream according to a user defined puncturing pattern which indicates the deleting bit positions. On the decoder side, the depuncturer inserts a-priori-known data at the positions and flags to the Viterbi decoder these bits positions as erasures. The Viterbi decoder uses a maximum-likelihood detection recursive process to cor-rect errors in the data stream. The Viterbi input data stream can be composed of hard or soft bits. Soft decision achieves a 2 to 3dB in-crease in coding gain over hard-decision decoding. Data can be received continuously or with gaps.
The ntLDPC_8023CA (17664,14592) IP Core is defined in IEEE 802.3ca-2020 standard document and it is based on an implementation of QC-LDPC Quasi-Cyclic LDPC Codes. These LDPC codes are based on block-structured LDPC codes with circular block matrices. The entire parity check matrix can be partitioned into an array of block matrices; each block matrix is either a zero matrix or a right cyclic shift of an identity matrix. The parity check matrix designed in this way can be conveniently represented by a base matrix represented by cyclic shifts. The main advantage of this feature is that they offer high throughput at low implementation complexity. The ntLDPCE_8023CA encoder IP implements a 256-bit parallel systematic LDPC encoder. The Generator LDPC Matrix is calculated off-line, compressed and stored in ROM. It is partitioned to 12 layers and each layer when multiplied by the 14592 payload block pro-duces 256 parity bits. The multiplier architecture may be parameterized before synthesis to generate multiple multiplier instances [1 to 6], in order to effectively process multiple layers in parallel and improve the IP throughput rate. Shortened blocks are supported with granularity of 128-bit boundaries and 384 or 512 parity bits puncturing is also optionally supported. The ntLDPCD_8023CA decoder IP Core may optionally implement one of two approximations of the log-domain LDPC iterative decoding algorithm (Belief propagation) known as either Layered Offset Min-Sum Algorithm (OMS) or Layered Lambda-min Algorithm (LMIN). Selecting between the two algorithms presents a decoding performance vs system resources utilization trade-off. The OMS algorithm is chosen for this implementation, given the high code rate of the Parity Check Matrix (PCM). The ntLDPCD_8023CA decoder IP implements a 256-bit parallel systematic LDPC layered decoder. Each layer corresponds to Z=256 expanded rows of the original LDPC matrix. Each layer element corresponds to the active ZxZ shifted identity sub-matrices within the layer. Each layer element is shifted accordingly and processed by the parallel decoding datapath unit, in order to update the layers LLR estimates and extrinsic information iteratively until the required number of decoding iterations has been run. The decoder IP also features a powerful optional early termination (ET) criterion, to maintain practically equivalent error correction performance, while significantly increasing its throughput rate and/or reducing hardware cost. Additionally it reports how many decoding iterations have been performed when ET is activated, for system performance observation and calibration purposes. Finally a simple, yet robust, flow control handshaking mechanism is included in both IPs, which is used to communicate the IPs availability to adjacent system components. This logic is easily portable into any communication protocol, like AXI4 stream IF.
The RWM6050 Baseband Modem is a cutting-edge component designed for high-efficiency wireless communications, ideally suited for dense data transmission environments. This modem acts as a fundamental building block within Blu Wireless's product portfolio, enabling seamless integration into various network architectures. Focusing on addressing the needs of complex wireless systems, the RWM6050 optimizes data flow and enhances connectivity capabilities within mmWave deployments. Technical proficiency is at the core of RWM6050's design, targeting high-speed data processing and signal integrity. It supports multiple communication standards, ensuring compatibility and flexibility in diverse operational settings. The modem's architecture is crafted to manage substantial data payloads effectively, fostering reliable, high-bandwidth communication across different sectors, including telecommunications and IoT applications. The RWM6050 is engineered to simplify the setup of communication networks and improve performance in crowded signal environments. Its robust design not only accommodates the challenges posed by demanding applications but also anticipates future advancements within wireless communication technologies. The modem provides a scalable yet efficient solution that meets the industry's evolving requirements.
LightningBlu is a sophisticated mmWave connectivity solution explicitly designed for high-speed rail environments. This advanced system offers continuous, on-the-move multi-gigabit connectivity between trackside infrastructure and trains, ensuring seamless internet access, entertainment services, and real-time updates for passengers. Operating within the 60 GHz spectrum and compliant with IEEE 802.11 ad and ay standards, LightningBlu provides robust and efficient wireless communication for the rail industry. The LightningBlu system's standout feature is its ability to maintain reliable service even at speeds of over 300 km/h, enhancing the passengers' travel experience with fast and dependable connectivity. Its architecture allows for dynamic interaction between train-mounted and trackside units, facilitating uninterrupted data transfer essential for modern transport needs. This product not only addresses current connectivity requirements but also positions itself as a future-proof solution adaptable to evolving technological landscapes. Adopting a highly functional design, LightningBlu effectively eliminates the dependency on cabled infrastructure, making it an ideal choice for upgrading existing rail systems or deploying in new corridors. By supporting innovative services and enhancing passenger contentment, LightningBlu contributes significantly to modernizing the rail sector, aligning with the increasing push towards digital transformation in mass transit.
ntLDPC_SDAOCT IP implements a 5G-NR Base Graph 1 systematic Encoder/Decoder based on Quasi-Cyclic LDPC Codes (QC-LDPC), with lifting size Zc=384 and Information Block Size 8448 bits. The implementation is based on block-structured LDPC codes with circular block matrices. The entire parity check matrix can be partitioned into an array of block matrices; each block matrix is either a zero matrix or a right cyclic shift of an identity matrix. The parity check matrix designed in this way can be conveniently represented by a base matrix represented by cyclic shifts. The main advantage of this feature is that it offers high throughput at low implementation complexity. The ntLDPCE_SDAOCT Encoder IP implements a systematic LDPC Zc=384 encoder. Input and Output may be selected to be 32-bit or 128-bits per clock cycle prior to synthesis, while internal operations are 384-bits parallel per clock cycle. Depending on code rate, the respective amount of parity bits are generated and the first 2xZc=768 payload bits are discarded. There are 5 code rate modes of operation available (8448,8448)-bypass, (9984,8448)-0.8462, (11136,8448)-0.7586, (12672,8448)-0.6667 and (16896,8448)-0.5. The ntLDPCD_SDAOCT Base Graph Decoder IP may optionally implement one of two approximations of the log-domain LDPC iterative decoding algorithm (Belief propagation) known as either Layered Min-Sum Algorithm (MS) or Layered Lambda-min Algorithm (LMIN). Variations of Layered MS available are Offset Min-Sum (OMS), Normalized Min-Sum (NMS), and Normalized Offset Min-Sum (NOMS). Selecting between these algorithms presents a decoding performance vs. system resources utilization trade-off. The ntLDPCD_SDAOCT decoder IP implements a Zc=384 parallel systematic LDPC layered decoder. Each layer corresponds to Zc=384 expanded rows of the original LDPC matrix. Each layer element corresponds to the active ZcxZc shifted identity submatrices within the layer. Each layer element is shifted accordingly and processed by the parallel decoding datapath unit, in order to update the layers LLR estimates and extrinsic information iteratively until the required number of decoding iterations has been run. The decoder IP also features a powerful optional early termination (ET) criterion, to maintain practically equivalent error correction performance, while significantly increasing its throughput rate and/or reducing hardware cost. Additionally it reports how many decoding iterations have been performed when ET is activated, for system performance observation and calibration purposes. Finally a simple, yet robust, flow control handshaking mechanism is included in both IPs, which is used to communicate the IPs availability to adjacent system components. This logic is easily portable into any communication protocol, like AXI4 stream IF.
ArrayNav is a groundbreaking GNSS solution utilizing patented adaptive antenna technology, crafted to provide automotive Advanced Driver-Assistance Systems (ADAS) with unprecedented precision and capacity. By employing multiple antennas, ArrayNav substantially enhances sensitivity and coverage through increased antenna gain, mitigates multipath fading with antenna diversity, and offers superior interference and jamming rejection capabilities. This advancement leads to greater accuracy in open environments and markedly better functionality within urban settings, often challenging due to signal interference. It is designed to serve both standalone and cloud-dependent use cases, thereby granting broad application flexibility.
ntRSD core implements a time-domain Reed-Solomon decoding algorithm. The core is parameterized in terms of bits per symbol, maximum codeword length and maximum number of parity symbols. It also supports varying on the fly shortened codes. Therefore any desirable code-rate can be easily achieved rendering the decoder ideal for fully adaptive FEC applications. ntRSD core supports erasure decoding thus doubling its error correction capability. The core also supports continuous or burst decoding. The implementation is very low latency, high speed with a simple interface for easy integration in SoC applications.
ntRSE core implements the Reed Solomon encoding algorithm and is parameterized in terms of bits per symbol, maximum codeword length and maximum number of parity symbols. It also supports varying on the fly shortened codes. Therefore any desirable code-rate can be easily achieved rendering the decoder ideal for fully adaptive FEC applications. ntRSE core supports continuous or burst decoding. The implementation is very low latency, high speed with a simple interface for easy integration in SoC applications.
ntRSD_UF core implements a time-domain Reed-Solomon decoding algorithm. The core is parameterized in terms of bits per symbol, maximum codeword length, maximum number of parity symbols as well as I/O data width, internal datapath and decoding engines parallelism. It also supports varying on the fly shortened codes. Therefore any desirable code-rate can be easily achieved rendering the decoder ideal for fully adaptive FEC applications. ntRSD_UF core supports erasure decoding thus doubling its error correction capability. The core also supports continuous or burst decoding. The core is designed and optimized for applications that need very high throughput data rates. The implementation is very low latency, high speed with a simple interface for easy integration in SoC applications.
The ntLDPC_Ghn IP Core is based on an implementation of QC-LDPC Quasi-Cyclic LDPC Codes. These LDPC codes are based on block-structured LDPC codes with circular block matrices. The entire parity check matrix can be partitioned into an array of block matrices; each block matrix is either a zero matrix or a right cyclic shift of an identity matrix. The parity check matrix designed in this way can be conveniently represented by a base matrix represented by cyclic shifts. The main advantage of this feature is that they offer high throughput at low implementation complexity. The ntLDPCD_Ghn decoder IP Core may optionally implement one of two approximations of the log-domain LDPC iterative decoding algorithm (Belief propagation) known as either Layered Offset Min-Sum Algorithm or Layered Lambda-min Algorithm. Selecting between the two algorithms presents a decoding performance .vs. system resources utilization trade-off. The core is highly reconfigurable and fully compliant to the ITU-T G.9960 G.hn standard. The ntLDPCE_Ghn encoder IP implements a 360-bit parallel systematic LDPC encoder. An off-line profiling Matlab script processes the original matrices and produces a set of constants that are associated with the matrix and hardcoded in the RTL encoder. The ntLDPCD_Ghn decoder IP implements a 360-LLR parallel systematic LDPC layered decoder. A separate off-line profiling Matlab script is used to profile the layered matrices and resolve any possible memory access conflicts. Each layer corresponds to Z=[14, 80, 360, 60, 270, 48 or 216] expanded rows of the original LDPC matrix, depending on the mode selected expansion factor. Each layer element corresponds to the active ZxZ shifted identity sub-matrices, within a layer. Each layer element is shifted accordingly and processed by the parallel decoding datapath unit, in order to update the layers LLR estimates and extrinsic information iteratively until the required number of decoding iterations has been executed. The decoder also IP features a powerful optional early termination (ET) criterion, to maintain practically the same error correction performance, while significantly increasing its throughput rate. Additionally it reports how many decoding iterations have been performed when ET is activated, for system performance observation and calibration purposes. Finally a simple, yet robust, flow control handshaking mechanism is included in both IPs, which is used to communicate the IPs availability to adjacent system components. This logic is easily portable into any communication protocol, like AXI.
Designed for maximum compatibility and efficiency, the ATSC 8-VSB Modulator serves both professional TV network applications and custom point-to-point radio links. Its comprehensive compliance with ATSC A/53 8-VSB standards guarantees reliable performance across multiple broadcast scenarios. The modulator's versatile design supports varied operational environments, making it indispensable for broadcasters who require versatile and robust transmission solutions. Its emphasis on delivering flawless signal integrity ensures top-notch broadcast quality for diverse applications.
This suite offers flexible and powerful error correction capabilities through LDPC and Turbo coding. Aimed at enhancing communication systems, the cores are designed for seamless integration with broadband and broadcast environments. They are particularly beneficial in applications requiring high data integrity and error correction, such as satellite and terrestrial communications. The TurboConcept designs support various architectures, catering to the unique demands of both high-capacity networks and specialized communication systems. These cores are built to ensure efficient and effective data error management, enabling optimal performance in various digital transmissions.
The DVB-T2 Modulator stands out with its powerful FPGA or ASIC implementation, designed to perform efficient modulation as per the DVB-T2 ETSI EN302 755 standards. This comprehensive solution encompasses all necessary functions to facilitate high-performance terrestrial broadcasts. The modulator is crafted for use in a range of broadcast networks, offering flexibility and adaptability in its application. This makes it a go-to solution for broadcasters aiming to leverage the power of DVB-T2 technology to deliver superior terrestrial broadcast services.
The LDACS-1 & LDACS-2 Physical Layer encompasses sophisticated IP core solutions designed for efficient digital communication systems. It integrates these two advanced aeronautical communication systems which provide reliable voice and data communication capabilities by leveraging cutting-edge protocol stacks and modulating techniques. This IP core is configurable to be implemented on platforms requiring MATLAB and can be customized further into Verilog, based on specific project requisites. It is particularly beneficial for systems that need robust and continuous communication links, especially in aviation and transport sectors where communication reliability is paramount. The LDACS-1 & LDACS-2 Physical Layer is adaptable and can meet various customer specifications. Its flexibility extends to porting across multiple systems, providing an efficient implementation of aeronautical communication protocols, crucial for modernizing aircraft communication networks.
The Multi-channel ATSC 8-VSB Modulator enhances broadcasting flexibility by supporting multiple channels within ATSC A/53 8-VSB standards. Tailored to meet professional TV network and custom point-to-point radio link needs, this modulator core facilitates complex broadcast operations. It enables seamless integration and high-quality signal transmission across varied operational environments. By efficiently managing multiple channels, it empowers broadcasters to optimize signal delivery and enhance their overall transmission capabilities.
The ISDB-T Modulator delivers robust capabilities for both professional TV networks and custom point-to-point radio links. This modulator core is fully compliant with ARIB STD-B31 and ABNT NBR 15601, ensuring compatibility across a broad range of broadcasting applications. Its adaptable framework makes it suitable for diverse broadcast needs, facilitating the efficient transmission of digital television signals. Through this, broadcasters can achieve a more reliable and consistent service quality across different market segments.
**Ceva-BX2 baseband processor IP** handles both signal-processing and control workloads with up to 16 GMACs per second performance and high-level-language programming. It supports a range of integer and floating-point data types for a wide range of baseband applications like 5G PHY control, and exploits a high degree of parallelism, but with remarkably compact code size. Optimized high-speed interfaces expedite connection to other Ceva cores or to accelerators. The Ceva-BX2 combines the capabilities of signal processing and control-code execution into a single, compact DSP. Computational speed comes from quad-32×32/octal-16×16 MACs with added support for 16×8 and 8×8 MAC operations, organized into two parallel compute engines within an 11-stage pipeline. Each compute engine can add optional half- and single-precision IEEE floating-point units. These resources are directed by a five-way VLIW instruction set architecture with optimizations for single-instruction-multiple-data (SIMD) operation, including a hardware loop buffer for kernel execution. Efficient execution of control code is aided by dynamic branch prediction and a branch target cache. On signal-processing tasks the Ceva-BX2 can reach up to 16 GMACs per second, and on control workloads it can achieve up to 5.46 CoreMark/MHz. The hardware design is optimized for speed, achieving 2 GHz operation implemented in a TSMC 7nm process node with only common standard cells and memory compilers. [**Learn more about Ceva-BX2>**](https://www.ceva-ip.com/product/ceva-bx2/?utm_source=silicon_hub&utm_medium=ip_listing&utm_campaign=ceva_bx2_page)
Rockley Photonics' Multi-Channel Silicon Photonic Chipset is engineered for high-speed data transmission applications. The chipset integrates hybrid III-V DFB lasers and electro-absorption modulators into a silicon photonics framework, allowing it to support 4×106Gb/s 400 GBASE-DR4 data rates over multiple channels. This highly efficient setup delivers significant optical modulation amplitude (OMA) and maintains a low TDECQ penalty, fully complying with IEEE standards. This chipset is particularly suited for optical communications, providing the robustness and speed necessary for demanding data centers and telecommunication infrastructures.
The QAM Modulator offered by IPrium is designed to handle advanced Quadrature Amplitude Modulation schemes, widely used in telecommunications to maximize data transmission efficiency. This modulator is a critical component in digital communication systems, enabling high data throughput in various applications including cable broadcasting and broadband communications. With a firm foundation in digital signal processing, the QAM Modulator converts data signals into modulated QAM signals, ready for transmission over specified broadcast mediums. This modulator is engineered to handle higher-order modulation schemes, supporting numerous channels within a single modulator framework. Such capabilities make it an essential tool for scaling bandwidth without increased spectrum use. The QAM Modulator is implemented with high precision and reliability, ensuring signal integrity and robustness against noise and interference. It's designed to function seamlessly with IPrium's suite of demodulators, creating a cohesive and efficient transmission system that supports existing industry standards. Its implementation can greatly enhance network efficiency and reduce operational costs by maximizing available bandwidth.
Creonic’s FFT / IFFT Core is a pivotal technology for systems requiring high-performance signal processing. Key in numerous digital communication applications, these cores execute Fast Fourier Transforms and Inverse Fast Fourier Transforms, foundational operations in digital signal processing (DSP). Optimized for speed and efficiency, the FFT / IFFT Core serves a range of applications from radar and wireless communication to audio and image processing, delivering reliable performance and accuracy. Its flexible structure allows it to be tailored to diverse system needs, making it suitable for integration into both large-scale and compact devices. The core's versatile design supports a wide array of transform sizes and maintains high throughput, ensuring minimal latency in real-time signal processing tasks. It stands as an essential component for modern communication and processing systems looking to maximize computational resource usage and enhance overall efficiency.
The SpaceWire Node is crafted to meet stringent aerospace and defense communication standards. It supports high-speed data transfer interfaces compliant with ECSS-E-ST-50-12C standards. This node allows for effective connectivity in environments requiring low-latency and high reliability, ensuring data integrity and reliable communication pathways. It is instrumental in space and defense applications demanding precise and dependable networking solutions.
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