DocumentCode
3279795
Title
High and low-SNR regimes for stochastic networks
Author
Alfano, Giuseppa ; Guillaud, Maxime ; Tulino, Antonia
Author_Institution
DELEN, Politec. of Torino, Turin
fYear
2008
fDate
7-10 Dec. 2008
Firstpage
1
Lastpage
6
Abstract
A compact model for the evaluation of scaling laws in random wireless networks is proposed and studied. The model allows the information-theoretic characterization of both point-to-point as well as distributed communications. It is analyzed under several assumptions about spatial correlation and the utilized channel state information and transmission schemes.
Keywords
MIMO communication; information theory; stochastic systems; channel state information; distributed communications; high SNR regimes; information- theory; low SNR regimes; point-to-point communications; random wireless networks; scaling laws; spatial correlation; stochastic networks; Aggregates; Broadcasting; Electronic mail; Hydrogen; Information theory; MIMO; Protocols; Stochastic processes; Throughput; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on
Conference_Location
Auckland
Print_ISBN
978-1-4244-2068-1
Electronic_ISBN
978-1-4244-2069-8
Type
conf
DOI
10.1109/ISITA.2008.4895492
Filename
4895492
Link To Document