Title :
Sporadic information sources
Author_Institution :
Signal & Inf. Process. Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
Message arrivals encountered in digital transmission over most real communication channels are not independent but appear in clusters. We propose a model of such a bursty K-ary source using a Markov chain with two states. It is shown that the protocol information of this sporadic source can be drastically reduced on the one hand by not encoding intermessage information (e.g., the starting point of a packet) and on the other hand by buffering and reordering messages. Trade-offs between reduced protocol information and message delays are also considered
Keywords :
Markov processes; buffer storage; delays; digital communication; packet switching; switching networks; telecommunication channels; telecommunication networks; transport protocols; Markov chain; buffering; bursty K-ary source; communication channels; digital transmission; intermessage information; message delays; messages reordering; packet switching network; sporadic information sources; Channel capacity; Communication channels; Delay; Entropy; Information processing; Information rates; Laboratories; Protocols; Signal processing; Steady-state;
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
DOI :
10.1109/ISIT.1995.531146
