TY - GEN
T1 - Decentralized link adaptation for multi-link MIMO interference system
AU - Mehmood, Mirza Tayyab
AU - Marzouki, Abdelwaheb
AU - Zeghlache, Djamal
PY - 2009/4/23
Y1 - 2009/4/23
N2 - A decentralized link adaptation algorithm designed for multi-link MIMO interference systems to jointly optimize the power and the number of links is presented in this contribution. Game theory is adapted and used for both allocating resources and admitting users (i.e. with embedded congestion control). The MIMO interference system is mapped into a multi-player game. The solution of the proposed game is provided by a new gradient based decentralized link adaptation algorithm. The new algorithm allocates adaptively the power and the modulation scheme of the transmitter and maintains the optimum number of links using soft decision criteria based on the link metric. Each link decision depends on the type of traffic and the QoS requirements. An analytical framework is provided along with simulations and an analysis of the algorithm behavior under different system conditions. This type of algorithm is applicable to spectrum sharing and power management to reduce interference and energy consumption.
AB - A decentralized link adaptation algorithm designed for multi-link MIMO interference systems to jointly optimize the power and the number of links is presented in this contribution. Game theory is adapted and used for both allocating resources and admitting users (i.e. with embedded congestion control). The MIMO interference system is mapped into a multi-player game. The solution of the proposed game is provided by a new gradient based decentralized link adaptation algorithm. The new algorithm allocates adaptively the power and the modulation scheme of the transmitter and maintains the optimum number of links using soft decision criteria based on the link metric. Each link decision depends on the type of traffic and the QoS requirements. An analytical framework is provided along with simulations and an analysis of the algorithm behavior under different system conditions. This type of algorithm is applicable to spectrum sharing and power management to reduce interference and energy consumption.
U2 - 10.1109/WONS.2009.4801845
DO - 10.1109/WONS.2009.4801845
M3 - Conference contribution
AN - SCOPUS:64849098292
SN - 9781424433759
T3 - WONS 2009 - 6th International Conference on Wireless On-demand Network Systems and Services
SP - 71
EP - 77
BT - WONS 2009 - 6th International Conference on Wireless On-demand Network Systems and Services
T2 - 6th International Conference on Wireless On-demand Network Systems and Services, WONS 2009
Y2 - 2 February 2009 through 4 February 2009
ER -
