TY - GEN
T1 - On information theoretic interference games with more than two users
AU - Berry, Randall A.
AU - Saha, Suvarup
PY - 2010/7/27
Y1 - 2010/7/27
N2 - We consider a model for information theoretic games on interference channels introduced in previous work. The players in these games are the users, who autonomously select their encoding and decoding strategy with the objective of maximizing their own rate. In previous work, a Nash equilibrium region for this game was defined and completely characterized for two-user linear deterministic interference channels. In particular for such channels it was shown that there always exists an efficient Nash equilibrium. In this paper, we consider extending this to models with more than two users. We show that some of the analysis extends to networks with more than two users, however, significant differences also emerge. For example, it may no longer be the case that there are always efficient equilibria.
AB - We consider a model for information theoretic games on interference channels introduced in previous work. The players in these games are the users, who autonomously select their encoding and decoding strategy with the objective of maximizing their own rate. In previous work, a Nash equilibrium region for this game was defined and completely characterized for two-user linear deterministic interference channels. In particular for such channels it was shown that there always exists an efficient Nash equilibrium. In this paper, we consider extending this to models with more than two users. We show that some of the analysis extends to networks with more than two users, however, significant differences also emerge. For example, it may no longer be the case that there are always efficient equilibria.
UR - http://www.scopus.com/inward/record.url?scp=77954821300&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77954821300&partnerID=8YFLogxK
U2 - 10.1109/ITWKSPS.2010.5503215
DO - 10.1109/ITWKSPS.2010.5503215
M3 - Conference contribution
AN - SCOPUS:77954821300
SN - 9781424463725
T3 - IEEE Information Theory Workshop 2010, ITW 2010
BT - IEEE Information Theory Workshop 2010, ITW 2010
T2 - IEEE Information Theory Workshop 2010, ITW 2010
Y2 - 6 January 2010 through 8 January 2010
ER -