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Please use this identifier to cite or link to this item: http://hdl.handle.net/1807/25632

Title: Quantization Techniques in Linearly Precoded Multiuser MIMO System with Limited Feedback
Authors: Islam, Muhammad
Advisor: Adve, Raviraj
Department: Electrical and Computer Engineering
Keywords: MIMO Broadcast Channel
Linear Precoding
Channel Quantization
Bit Allocation
Issue Date: 1-Jan-2011
Abstract: Multi-user wireless systems with multiple antennas can drastically increase the capac- ity while maintaining the quality of service requirements. The best performance of these systems is obtained at the presence of instantaneous channel knowledge. Since uplink-downlink channel reciprocity does not hold in frequency division duplex and broadband time division duplex systems, efficient channel quantization becomes important. This thesis focuses on different quantization techniques in a linearly precoded multi-user wireless system. Our work provides three major contributions. First, we come up with an end-to-end transceiver design, incorporating precoder, receive combining and feedback policy, that works well at low feedback overhead. Second, we provide optimal bit allocation across the gain and shape of a complex vector to reduce the quantization error and investigate its effect in the multiuser wireless system. Third, we design an adaptive differential quantizer that reduces feedback overhead by utilizing temporal correlation of the channels in a time varying scenario.
URI: http://hdl.handle.net/1807/25632
Appears in Collections:Master
The Edward S. Rogers Sr. Department of Electrical & Computer Engineering - Master theses

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