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What is the maximum data rate for ISDN BRI?
ISDN BRI is a Basic Rate Interface for ISDN networks (Intergrated Services Device Network). It consists of 2 Channels: B+D. B channel is used for data and voice and consists of two 64Kbps channels=128Kbps. D channel is used for the signal and control of the interface and is 16Kbps. Together the B+D chanels are refered to as 2B+D. The maximum data rate on a BRI is therefore 128Kbps. NOTE:PRI is Primary rate Interface which uses 23x64Kbps B channel and 1x64Kbps D channel (T-1)
What is the advantages of multiplexing?
Because, the higher the data rate, the more cost effective the transmission facility. That is, for a given application and over a given distance, the cost per kbps decline with an increase in the data rate of the transmission facility.
Difference between pri and leased line?
Leased lines are basicaly a data link / line, which is dedicated for data transmission between registered end to end network for enterprise users where as, PRI (Primary Rate Interface) is one of the service which is used by ISDN connection .It uses channel wise data transmission between the networks.The Primary Rate Interface consists of 23 B-channels and one 64 Kpbs D-channel using a T-1 line or 30 B-channels and 1 D-channel using an E1 line. Thus, a Primary Rate Interface user on a T-1 line can have up to 1.544 Mbps service or up to 2.048 Mbps service on an E1 line.
What is baud rate of the modem?
whats the baud rate of the modem of the computer
Which of the following is not a common usb data rate?
1.5Mbps
What are key factors that can affect channel capacity?
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.
What key factors affect channel capacity?
The following are the major factors can affect network channel capacity: 1.Data rate-----Bits per second 2.Bandwidth---Cycles per second (Hertz) 3.Error rate
How error rate affected the channel capacity?
The error rate directly impacts channel capacity by determining the maximum amount of information that can be reliably transmitted over a communication channel. As the error rate increases, the likelihood of data corruption rises, which reduces the effective capacity of the channel. According to Shannon's capacity theorem, if the error rate exceeds a certain threshold, the channel's capacity can drop significantly, making it challenging to achieve reliable communication. Therefore, minimizing the error rate is crucial for maximizing channel capacity and ensuring efficient data transmission.
Noisy and Noiseless channels in Data Communication?
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
How is the channel used in the digital communucation system?
The channel used in a digital communication system is used to convey an information signal. A channel has certain capacity for putting in information that is measured by bandwidth in Hz or data rate.
Is channel capacity related to snr?
Yes, channel capacity is directly related to the signal-to-noise ratio (SNR). According to the Shannon-Hartley theorem, the maximum data rate that can be transmitted over a communication channel is proportional to the logarithm of the SNR. Higher SNR allows for more reliable transmission and thus increases the channel capacity. Conversely, lower SNR results in reduced capacity due to increased noise interference.
What does the shannon capacity have to do with communication?
It has to do with data communication. It is called the Shannon channel capacity theory where double the bandwidth equals double the highest data rate. This is of course theoretically and does not take into account white noise (thermal noise), impulse noise, attenuation distortion or delay distortion.
What does shannon capacity have to do with communications?
It has to do with data communication. It is called the Shannon channel capacity theory where double the bandwidth equals double the highest data rate. This is of course theoretically and does not take into account white noise (thermal noise), impulse noise, attenuation distortion or delay distortion.
Is capacity of gaussian channel is equivalent to shannon hartley theorem?
Yes, the capacity of a Gaussian channel is indeed described by the Shannon-Hartley theorem. This theorem states that the maximum data rate (capacity) ( C ) of a communication channel with bandwidth ( B ) and signal-to-noise ratio ( SNR ) is given by the formula ( C = B \log_2(1 + SNR) ). It quantifies the limits of reliable communication over a Gaussian channel, making it a fundamental result in information theory.
How is the rate improved if we double the SNR?
Doubling the Signal-to-Noise Ratio (SNR) generally leads to an improvement in the rate of communication systems, as it allows for clearer signal transmission with less interference from noise. According to Shannon's capacity theorem, the maximum achievable data rate increases logarithmically with SNR, meaning that doubling the SNR can lead to an increase in capacity and thus higher data rates. Specifically, this can translate to nearly a 1.5-fold increase in the channel capacity in ideal conditions. Overall, improved SNR contributes to enhanced performance and efficiency in data transmission.
Relation between channel capacity and bandwidth?
According to Shannon's Channel Capacity Equation: R = W*log2(1 + C/N) = W*log2(1+ SNR) Where, R = Maximum Data rate (symbol rate) W = Bw = Nyquist Bandwidth = samples/sec = 1/Ts C = Carrier Power N = Total Noise Power SNR = Signal to Noise Ratio
What measurement unit describes the speed and capacity of a communication channel?
Both can best be expressed in terms of a data rate, e.g. bits per second. It may take some math, but all information of any kind, packaged in any form or format, can be described in terms of its content measured in bits.
