Title :
Entropy and the Shannon capacity of queueing systems
Author :
Gallager, Robert ; Prabhakar, Balaji
Author_Institution :
Lab. for Inf. & Decision Syst., Stanford Univ., CA, USA
Abstract :
Summary form only given. We show that a variety of queueing systems are entropy increasing in nature. The methods used to establish this are a combination of elementary techniques of information theory and queueing theory. We discuss the connection of these ideas with the work of Anantharam and Verdu (1996) on the information capacity of queues
Keywords :
entropy; information theory; queueing theory; Shannon capacity; entropy; information capacity; information theory; queueing systems; Entropy; Information systems; Information theory; Laboratories; Network servers; Queueing analysis; Resumes; Statistics; Telecommunication traffic; Traffic control;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781387