100VG-AnyLAN Training

B.1 100VG-AnyLAN Training

The algorithm used to open ThunderLAN to the network depends on the net- work protocol in use. The demand priority protocol specified in IEEE 802.12 goes through a training process to open onto the wire. To open the controller the driver must:

-Enter VG training; the network protocol is demand priority.

-Issue a dummy interrupt by asserting Req_Int in the HOST_CMD register. Wait one second for this interrupt to process. If the interrupt is handled, then ThunderLAN is open on the wire. Otherwise, it is not.

Training between the client and hub is accomplished by exchanging 24 con- secutive frames (training frames) between the client and hub. These 24 frames must be exchanged within a window consisting of 48 frames. If training is not accomplished within this window, it can continue after a suitable delay in another 48-frame window.

The following shows the format of an 802.12 training frame:

Figure B±1. 802.12 Training Frame Format

Destination address = 0x000000000000h

Source address

Req config

Allow config

Private protocol information

Data = null

6bytes

6bytes

2bytes

2bytes

55bytes

539±620 bytes

B-2

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Texas Instruments TNETE100A, TNETE211, TNETE110A manual 100VG-AnyLAN Training, Figure B±1 .12 Training Frame Format
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TNETE110A, TNETE211, TNETE100A specifications

Texas Instruments has been a leader in developing innovative semiconductor solutions, and their Ethernet PHY (Physical Layer Transceiver) family, specifically the TNETE100A, TNETE211, and TNETE110A, exemplifies this commitment to excellence. These devices are designed to address the needs of a variety of applications, ranging from industrial automation to consumer electronics.

The TNETE100A is a highly versatile Ethernet PHY capable of supporting 10/100 Mbps Ethernet connectivity. One of its main features is the low power consumption, which makes it an ideal choice for battery-operated devices. It incorporates advanced power management technologies, ensuring that the device operates efficiently while maintaining high performance. The TNETE100A also supports Auto-Negotiation, allowing for seamless communication between devices at different speeds, thereby enhancing flexibility in network configurations.

Moving to the TNETE211, this device supports 10/100/1000 Mbps Ethernet, making it suitable for high-speed networking applications. This PHY integrates features such as Energy Efficient Ethernet (EEE), which reduces power consumption during low-traffic periods, aligning with the contemporary demand for energy efficiency in networking equipment. The TNETE211 is engineered with robust EMI (Electromagnetic Interference) performance and provides multiple interface options, making it a versatile choice for embedded systems and networking applications.

The TNETE110A stands out in the lineup as a sophisticated device that supports both Fast Ethernet and Gigabit Ethernet. This PHY utilizes advanced signal processing techniques to ensure superior link robustness and performance in noisy environments. Its features include an integrated transformer driver, which simplifies PCB design and allows for compact device layouts. Additionally, the TNETE110A is designed to be fully compliant with Ethernet standards, ensuring reliable interoperability with other network components.

All three PHYs leverage Texas Instruments' expertise in integrated circuit design, resulting in low jitter and high signal integrity, essential for modern communication standards. They are optimized for a wide range of temperatures, making them suitable for harsh industrial applications. With built-in diagnostic capabilities, these devices also enable efficient fault detection and troubleshooting in network infrastructures.

In summary, the Texas Instruments TNETE100A, TNETE211, and TNETE110A are exemplary Ethernet PHY devices, each tailored to meet specific networking needs while adhering to stringent efficiency and performance criteria. Their advanced features, technologies, and reliability make them pivotal components in today's fast-paced digital landscape.
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