Author(s)
Term
4. term
Publication year
2011
Submitted on
2011-12-22
Pages
96 pages
Abstract
In this project is implemented an iterative algorithm. to determine the linear transmit and receive beamforming filters maximizing the sum-rate of cooperative MIMO system. The channel state information (CSI) of all links is assumed to be known at the transmitters. The algorithm is based on recent papers [5] showing the relation between Weighted Minimum Mean Square Error (WMMSE) and Weighted Sum Rate (WSR) on MIMO Broadcast Channels. This connection allows us to solve the transmit filter with a low complexity algorithm and numerical results shows the algorithm performance is achieved with few iterations. Another contribution of this project is to study the effects when we are working with real measurement data. Real measurement data has been taken in Aalborg (Denmark) and it has tested with the mentioned algorithm. It is shown how real data can be treated with signal processing to test its behavior compared to theoretical channels. Several ways to manipulate real data has been done and the comparison between them for the purpose to realize how it can affect the achievable rate at users. It is concluded and shown that real data cannot achieve the best rate performance due to its imperfections, being the unbalance between branch power ratio the largest detrimental effect.
Documents
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