Binary transitions, power consumption

In summary, the conversation is about studying the ethernet devices and transmission system over cable wire, with a focus on power consumption due to binary transitions and the possibility of estimating the necessary watts for switching. The discussion also mentions the role of parasitic capacitance and the importance of terminating the cable in impedance Zc to minimize reflections.
  • #1
phdshine
1
0
I'm studying the ethernet devices and the transmission system over cable wire and I'm interested especially on the power consumpiot due to the binary transitions from 0 to 1 and viceversa in the transistors. It is possible to estimate how many WATTS (i thinks nW) are necessary to the device to switch from 0 to 1 or viceversa?
it is due to the charge and discharge of the cable parasitic capacitance?
thank you in advance
 
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  • #2
phdshine said:
I'm studying the ethernet devices and the transmission system over cable wire and I'm interested especially on the power consumpiot due to the binary transitions from 0 to 1 and viceversa in the transistors. It is possible to estimate how many WATTS (i thinks nW) are necessary to the device to switch from 0 to 1 or viceversa?
it is due to the charge and discharge of the cable parasitic capacitance?
thank you in advance

You are not driving the parasitic capacitance so much. You are driving into the characteristic impedance of the cable at high frequencies (Zo):

http://en.wikipedia.org/wiki/Characteristic_impedance

.
 
  • #3
Most coax cables range from 50 ohms (e.g., RG-8) to 125 ohms (e.g., RG-63) characteristic impedance Zc. Zc is the square root of the coax inductance per unit length divided by the capacitance per unit length. The parasitic capacitance cannot absorb energy (other than dielectric "tan theta" losses at GHz frequencies). The best cables for long distance signal transmission are Zc~75 ohms with high signal velocity. The cable should be terminated in impedance Zc to minimize reflections. The power losses are in the termination.

Bob S.
 

1. What are binary transitions and how do they affect power consumption?

Binary transitions refer to the process of switching between two states, typically represented as 0 and 1 in binary code. These transitions can be physical, such as the movement of electrons in a computer circuit, or logical, such as the change in data values. The frequency and duration of binary transitions can impact power consumption in electronic devices, as it requires energy to switch between states.

2. How do different types of electronic devices vary in terms of power consumption during binary transitions?

The power consumption during binary transitions can vary greatly depending on the type of electronic device. For example, high-performance devices such as gaming computers may have a higher frequency of transitions and therefore consume more power compared to a basic calculator. Additionally, the type of circuitry and components used in the device can also affect power consumption during binary transitions.

3. Can binary transitions be optimized to reduce power consumption?

Yes, binary transitions can be optimized to reduce power consumption in electronic devices. This can be done through techniques such as power gating, which selectively turns off power to unused components, or clock gating, which controls the frequency of binary transitions based on the device's workload. By reducing the frequency and duration of transitions, overall power consumption can be reduced.

4. How does power consumption during binary transitions impact battery life in portable devices?

Power consumption during binary transitions is a major factor in battery life for portable electronic devices. The more frequently and longer the device needs to switch between states, the more energy it will consume, which can drain the battery faster. This is why optimizing binary transitions is crucial for extending the battery life of portable devices.

5. Are there any potential negative effects of optimizing binary transitions for power consumption?

While optimizing binary transitions can lead to significant power savings, it can also have some negative effects. For example, reducing the frequency of transitions too much can result in slower performance or even system failures. Additionally, some techniques used to optimize transitions, such as power gating, can add complexity and cost to the device. Therefore, a balance must be struck between power savings and device functionality when optimizing binary transitions.

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