The advent of multi-antenna communication revolutionized the level of spectral efficiency and reliability that wireless channels could sustain. The merits of multi-input multi-output (MIMO) systems in combating the physical impairments of wireless channels for the two fundamental building-blocks of cellular wireless networks, i.e., uplink and downlink systems, have been investigated over the past decade. This dissertation focuses on analyzing the compound MIMO networks comprising of multiple building-blocks, and on the interplay among their building components for attaining some network-wise measures of optimality. The performance of the MIMO network profoundly pivots on the level and accuracy of coordinations among their independent building-blocks. Based on this premise, we address three problems in MIMO networks. First we quantify the information content of the coordinations and obtain the minimum level of coordination that suffices for achieving the optimal capacity scaling for the network. Secondly, we develop the notion of group decoding as an interference management strategy outperforming the interference suppressing conventions. Group decoding are effective in harnessing the inter-cell interferences, and when employed in conjunction with precoding techniques can also restrain inter-cell interferences. As the third aspect we analyze the impacts of inaccurate coordination and noisy information exchange in the network. While asserting any optimality for the network is not viable, we provide prudent worst-case guarantees on the performance of the network which are robust against any possible coordination perturbation.
|School Location:||United States -- New York|
|Source:||DAI-B 72/05, Dissertation Abstracts International|
|Keywords:||Capacity scaling, MIMO networks, Rate allocation|
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