Statistical Multiplexing is a multiplexing technique that allows information from a number of channels to be combined for transmission over … Complete definition in Network Encyclopedia.
What is Statistical Multiplexing?
Statistical Multiplexing is a multiplexing technique that allows information from a number of channels to be combined for transmission over a single channel.
How Statistical Multiplexing Works?
Statistical multiplexing dynamically allocates bandwidth to each channel on an as-needed basis. This is in contrast to time-division multiplexing (TDM) techniques, in which quiet devices use up a portion of the multiplexed data stream, filling it with empty packets. Statistical multiplexing allocates bandwidth only to channels that are currently transmitting. It packages the data from the active channels into packets and dynamically feeds them into the output channel, usually on a FIFO (first in, first out) basis, but it’s also able to allocate extra bandwidth to specific input channels.
Statistical multiplexing devices usually support other features, such as the following:
- Store-and-forward error detection and correction capability:
- Identifies which channel sent each packet of data and corrects errors that occur
- Data compression:
- Increases the amount of data that can be sent per packet
Statistical multiplexing is sometimes referred to as statistical time-division multiplexing (STDM) or statistical packet multiplexing (SPM), but the shorter term is used more often.
A multiplexer that is capable of statistically multiplexing several data streams together is sometimes called a statmux. If you have a statmux at each end of a digital line, the receiving statmux can identify the channel of each packet sent by the sending statmux and demultiplex the data stream into its original data channels.
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