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The maximum user signaling rate, synonymous to gross bit rate or data signaling rate, is the maximum rate, in bits per second, at which binary information can be transferred in a given direction between users over the communications system facilities dedicated to a particular information transfer transaction, under conditions of continuous transmission and no overhead information.
Bandwidth commonly measured in bits/second is the maximum rate that information can be transferred Throughput is the actual rate that information is transferred Latency the delay between the sender and the receiver decoding it, this is mainly a function of the signals travel time, and processing time at any nodes the information traverses
Data-rate units, measures of the bit rate or baud rate of a link Data transfer rate (disk drive) , a data rate specific to disk drive operations Throughput , the rate of successful message delivery, or level of bandwidth consumption
The OSNR is the ratio between the signal power and the noise power in a given bandwidth. Most commonly a reference bandwidth of 0.1 nm is used. This bandwidth is independent of the modulation format, the frequency and the receiver. For instance an OSNR of 20 dB/0.1 nm could be given, even the signal of 40 GBit DPSK would not fit in this bandwidth.
the range of frequencies in which some measurement apparatus (e.g., a power meter) can operate; the data rate (e.g., in Gbit/s) achieved in an optical communication system; see bandwidth (computing). A related concept is the spectral linewidth of the radiation emitted by excited atoms.
The consumed bandwidth in bit/s, corresponds to achieved throughput or goodput, i.e., the average rate of successful data transfer through a communication path.The consumed bandwidth can be affected by technologies such as bandwidth shaping, bandwidth management, bandwidth throttling, bandwidth cap, bandwidth allocation (for example bandwidth allocation protocol and dynamic bandwidth ...
In the simple version above, the signal and noise are fully uncorrelated, in which case + is the total power of the received signal and noise together. A generalization of the above equation for the case where the additive noise is not white (or that the / is not constant with frequency over the bandwidth) is obtained by treating the channel as many narrow, independent Gaussian ...
Proof. We first show that () + ().. Let and be two independent random variables. Let be a random variable corresponding to the output of through the channel , and for through .