TY - GEN
T1 - Random matrix games in wireless networks
AU - Khan, Manzoor Ahmed
AU - Tembine, Hamidou
PY - 2012
Y1 - 2012
N2 - In this paper we propose an interactive decision-making framework for wireless networks where the outcome is influenced not only by the decisions of the users but also by a random variable. We examine specially the finite players case which we call random matrix games (RMGs). We present different approaches and solutions concepts in such games as well as distributed strategic learning in which each player adjusts her strategy in response to the recent information and signals. The applicability of the proposed framework is illustrated in user-centric network selection under measurement noise.
AB - In this paper we propose an interactive decision-making framework for wireless networks where the outcome is influenced not only by the decisions of the users but also by a random variable. We examine specially the finite players case which we call random matrix games (RMGs). We present different approaches and solutions concepts in such games as well as distributed strategic learning in which each player adjusts her strategy in response to the recent information and signals. The applicability of the proposed framework is illustrated in user-centric network selection under measurement noise.
UR - http://www.scopus.com/inward/record.url?scp=84876493304&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876493304&partnerID=8YFLogxK
U2 - 10.1109/GHTCE.2012.6490129
DO - 10.1109/GHTCE.2012.6490129
M3 - Conference contribution
AN - SCOPUS:84876493304
SN - 9781467350853
T3 - 2012 IEEE Global High Tech Congress on Electronics, GHTCE 2012
SP - 81
EP - 86
BT - 2012 IEEE Global High Tech Congress on Electronics, GHTCE 2012
T2 - 2012 IEEE Global High Tech Congress on Electronics, GHTCE 2012
Y2 - 18 November 2012 through 20 November 2012
ER -