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Analysis of compact Arrays for MIMO based a on complete RF System Model
"... Abstract—A model for an extended MIMO transmission channel including transmitter, receiver, antennas and the physical channel is presented. For the analysis of compact MIMO systems for small handheld devices, it is inevitable to consider this extended model, since the antennas couple and interact, w ..."
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Abstract—A model for an extended MIMO transmission channel including transmitter, receiver, antennas and the physical channel is presented. For the analysis of compact MIMO systems for small handheld devices, it is inevitable to consider this extended model, since the antennas couple and interact, which influences both SNR and the channel matrix H. Capacity calculations for diversity and beamforming based MIMO systems are given. I.
Base Station User #1 User #N u A Complexity-Reduced Active MS Antenna Selection Algorithm for Uplink Multi-user MIMO/SDM Systems
"... Mobile Stations Control signal in downlink ..."
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Capacity-Approaching Data Transmission in MIMO Broadcast Channels —A Cross-Layer Approach
, 2004
"... This dissertation focuses on downlink multi-antenna transmission with packet scheduling in a wireless packet data network. The topic is viewed as a critical system design problem for future high-speed packet networks requiring extremely high spectral efficiency. Our aim is to illustrate the interact ..."
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This dissertation focuses on downlink multi-antenna transmission with packet scheduling in a wireless packet data network. The topic is viewed as a critical system design problem for future high-speed packet networks requiring extremely high spectral efficiency. Our aim is to illustrate the interaction between transmission schemes at the physical layer and scheduling algorithms at the medium access control (MAC) layer from a sum-capacity perspective. Various roles of multiple antennas are studied under channel-aware scheduling, including diversity, beamforming and spatial multiplexing. At a system performance level, our work shows that downlink throughput can be optimized by joint precoding across multiple transmit antennas and exploiting small-scale fading of distributed multiple input and multiple output (MIMO) channels. There are three major results in this dissertation. First, it is shown that over a MIMO Gaussian broadcast channel, and under channel-aware scheduling, open-loop transmit antenna diversity actually reduces the achievable sum rate. This reveals a negative interaction between open-loop antenna diversity and the closed-loop multiuser diversity through scheduling. Second, a suboptimal dirty paper coding (DPC) approach benefits greatly from multiuser diversity by an