02693nas a2200277 a 450000500170000000800410001703500150005810000260007324501230009926000670022230000220028949000270031150001670033850200580050552013790056365000360194265000170197865000350199570000400203070000490207070000470211970000550216671000690222181000590229085600660234920260817161523.0090115s2008    th uu|m rtt   0|  a1eng d  a.b120445931 aMehmood, Mirza Tayyab13aAn adaptive decentralized congestion control algorithm for multi-link mimo interference system with the BER constraint  aPathum Thani, Thailand :bAsian Institute of Technology,c2008  a37 leaves :bill.1 aThesis ;vno. TC-08-02  aA thesis submitted in partial fulfillment of the requirements for the degree of Masters of Engineering in Telecommunications, School of Engineering and Technology  aThesis (M.Eng.) - Asian Institute of Technology, 2008  aWe design an adaptive decentralized congestion control algorithm for multi-link multiple-input multiple-output (MIMO) interference systems. In a multi-link MIMO interference system, each link is trying to maximize its own mutual information by choosing appropriate transmit powers. The scenario can be mapped to a multi-player game in which a player is a link and the utility function is the mutual information of the link. To solve this game, we apply a known decentralized link adjustment algorithm based on the gradient method. Using the power allocation obtained from this algorithm, we propose a decentralized congestion control algorithm that adaptively decides whether or not to support the traffic on each link, and chooses an appropriate modulation scheme for the link. Each link decision depends on the type of traffic (class I or class II) and the quality-of-service (QoS) requirements. In particular, a link decision is based on a metric that is a function of the bit rate and the bit error rate. When some links do not satisfy the QoS requirements, the link with the minimum metric kills itself, i.e., decides not to support traffic. Using MATLAB, we simu»late our algorithm and analyze its behaviors under different system conditions. In addition, we demonstrate the advantages of our algorithm through comparisons with the cases with»out congestion control. 0aGame theoryxSimulation methods 0aMIMO systems 0aWireless communication systems0 aPoompat Saengudomlert,eChairperson1 aZeghlache, Djamal, eExamination committee  1 aRajatheva, R.M.A.P,eExamination Committee0 aTeerapat Sanguankotchakorn,eExamination Committee2 aHigher Education Commission (HEC), Pakistan, eScholarship donor2 aAsian Institute of Technology.tThesis ;vno. TC-08-02  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B04047