DocumentCode :
1347190
Title :
Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach
Author :
Huang, Jane Wei ; Krishnamurthy, Vikram
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
59
Issue :
12
fYear :
2011
fDate :
12/1/2011 12:00:00 AM
Firstpage :
3485
Lastpage :
3493
Abstract :
This paper considers downlink spectrum allocation in a long term evolution (LTE) system macrocell which contains multiple femtocells. By incorporating cognitive capabilities into femtocell base stations, the Home evolved Node Bs (HeNBs) can be formulated as secondary base stations seeking to maximize the spectrum utility while minimizing interference to primary base stations (evolved Node-Bs). The competition amongst cognitive HeNBs for spectrum resources is formulated as a non-cooperative game-theoretic learning problem where each agent (HeNB) seeks to adapt its strategy in real time. We formulate the resource block (RB) allocation among HeNBs in the downlink of a LTE system using a game-theoretic framework, where the correlated equilibrium solutions of the formulated game are being investigated. A distributed RB access algorithm is proposed to compute the correlated equilibrium RB allocation policy..
Keywords :
3G mobile communication; Long Term Evolution; cognitive radio; game theory; LTE/3GPP femtocells; cognitive base stations; correlated equilibrium game-theoretic approach; downlink spectrum allocation; long term evolution system macrocell; noncooperative game-theoretic learning problem; resource block allocation; Femtocells; Games; Interference; Resource management; Self-organizing networks; System performance; Wireless LAN; LTE/3GPP system; cognitive base stations; correlated equilibrium; femtocells; game-theoretic learning; self-organized network;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2011.093011.100693
Filename :
6042302
Link To Document :
بازگشت