About NetClear

-Claude Shannon 1948 "The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point."

• The mathematical theory of communication
• Relates channel information carrying capacity as a function of signal-to-noise across the usable bandwidth

What was clear in 1948 is clear today:

Networks are Dynamic

• Activity, collisions, retransmissions, token passing, Bits/sec.

Thus cabling system performance should be thought of in DYNAMIC terms.

• Shannon's Law

Cabling system design and specification is currently STATIC.

• Static electrical parameters are used as guidelines, (NEXT, ELFEXT, ACR, etc.)
• Improved static parameters do not guarantee improved dynamic performance

System: Backbone & Horizontal

It is the electronics, and the application protocol that make the channel dynamic

Shannon's Law

Not Clear:
reduced dynamic capacity

NetClear:
clear, maximum dynamic capacity!

C = Channel Capacity (information carrying capability)

• Allowable frequencies which can be used without saturation: The 'Physical Limit'
• To maximize C we designed the complete channel to maximize the bandwidth and S/N ratio.

Channels operating at reduced capacity, due to cabling inadequacies, are called Not Clear!
NetClear Channels allow operation at maximum capacity

W = Bandwidth

• In Gigabits per second (Gb/s)
• Measured in: MegaHertz, MHz

S = Signal Received (desired information)

• Cabling and connectivity affects the transmitted signal, the key is to minimize the effects
• The better the cabling system, the better the signal received

N = Noise (unwanted signal, reducer of signal)

• Noise component, N, is a summation of all noise sources
• Some sources can be controlled, and some cannot be controlled
• Noise sources we can control:
  • CrossTalk
  • Balance
  • Return Loss
  • Attenuation
  • Impedance Match
• Noise that cannot be controlled: alien/environmental, improper grounding, overfill in conduit, poor installation

S/N = Signal-to-Noise Ratio

• Allows for maximized dynamic performance of the channel as a transmitter/receiver of digital data
• S/N ratio is directly related to bit-errors
  • A higher S/N ratio yields lower bit-errors
  • Lower bit errors allow for higher capacity/throughput of the dynamic network