C = B * log2(1 + SNR)
C= channel capacity
B= Bandwidth , telephone lines have a usable range of around 3400Hz
= =
Calculate the capacity of a telephone channel of 3000hz and signal to noise ratio of 3162?
Using shannon capacity concept calculate the capacity of a telephone channel of 3000hz and signal to noise ratio of 3162? Answer this question…
A. Noisy Channel: Defines theoretical maximum bit rate for Noisy Channel: Capacity=Bandwidth X log2(1+SNR) Noiseless Channel: Defines theoretical maximum bit rate for Noiseless Channel: Bit Rate=2 X Bandwidth X log2L
The transmission capacity is based on a formula describing the power between a transmitter and a receiver. The ratio of these two numbers and the formula describes the capacity of the channel.
due to more data there will be more channels and having more information will take more time on a channel this why there will be more channel capacity
The transmission capacity is based on a formula describing the power between a transmitter and a receiver. The ratio of these two numbers and the formula describes the capacity of the channel.
Bandwith
) Shannon capacity tells us theoretical highest data rate or the capacity of a channel irrespective of the physical materials of the channel or media. It is calculated for a channel with the following formula C = B log2 (1 + S/N) in bps. Where B=bandwidth of the channel and S/N=signal to noise ratio.2) The capacity of the channel becomes zero when the signal to noise ratio is zero or for extremely noisy channel S/N=0…..3) Extremely noisy channelS/N = 33dB or 2981 wattsAnd bandwidth of the signal B=2000So, C = B log2 (1 + S/N) = 2000 log2 (1+2981)C = 2000 log2 (2982) = 2000*11.52 = 23056.47 bpsto be more specific capacity becomes zero when the signal power is zero. sinceS/N=S/(N0*B) S- signal power, N0 - noise PSD, B- Bandwidth for txnS/N=0 If and only if S=0; because if N0 AND B are zero S/N=infinity
Channel capacity - It is the rate at which the data can be transmitted over a given path, or channel, under the given conditions. Key factors affecting the channel capacity are- Data rate- speed of data transmission measured in bits per second. Bandwidth – Maximum. Bandwidth, noise, and error rate.
b log(1+S/N)
16 bit
20kbps