Architecture for Statistical Multiplexer

1304 Words3 Pages

Introduction
Twenty-first century communications will be dominated by intelligent high-speed information networks. The rapid growth of high-speed networks has led to many technological as well as social developments. As the networks supporting these services shift from the experimental phase to commercial operation, the pricing of limited resources will become an important problem. In this paper, statistical Multiplexer with QOS parameter control is implemented using VLSI design technologies. In communications systems by far the most common form of multiplexing is that of time division multiplexing (TDM). In this technique, the entire capacity of the shared transmission medium is allocated to each source in turn for a short duration sufficient for the source to transmit a brief burst of information of fixed length. The packets transmitted over a channel result from simultaneous active connections, each sending its packets as part of a communication among two or more hosts. The packets of the different connections are intermingled on the link — for example; a packet is transmitted for one connection, then a packet for a second, another for the first, then two packets in a row for a third, and so forth. This intermingling is referred to as “statistical multiplexing” [1].
Efficient use of available bandwidth without sacrificing quality is a prime concern for any broadcaster or operator. A statistical multiplexing system takes advantage of the variable bit-rate nature of data and the statistical probability that not all channels will peak in bit-rate demand at exactly the same time. This technique allocates bandwidth to input channels in response to their needs and try to providing the better quality of service (QoS); high-speed cha...

... middle of paper ...

...ce, Vol. 132, No. 5, 2006
Jianwei Huang, Chee Wei Tan, Mung Chiang, Raphael Cendrillon, “Statistical Multiplexing over DSL Networks”.
W. W. Chu, “A Study of Asynchronous time Division Multiplexing for Time Sharing Computer System”, Bell Telephone Laboratories, New Jersey
Mihails Kulikovs, and Ernests Petersons, “Remarks Regarding Queuing Model and Packet Loss Probability for the Traffic with Self-Similar Characteristics”, World Academy of Science, Engineering and Technology 16, 2008
“IEEE Guide for Power System Protective Relay Applications over Digital Communication Channel”, sponsored by Power System Relaying Committee, 19 April 2013.
Data and Computer Communications by William Stallings.
“The Scientist and Engineer’s Guide to Digital Signal Processing” by Steven W. Smith.
White Paper on “Open Statistical Multiplexing Architecture for Mobile TV” UDcast March 2007.

More about Architecture for Statistical Multiplexer

Open Document