Faedfar, Yaser
(2013)
Geometrical Space Diversity And
Distributed Space Diversity
Techniques For Wireless
Communication Systems.
PhD thesis, Universiti Sains Malaysia.
Abstract
This research produces a novel space diversity scheme based on geometrical concept for
optimizing the Signal to Noise Ratio (SNR) of the equal-gain Multiple Input and Single Output
(MISO) communication system. In the second stage, this method is extended to Multiple Input
and Multiple Output (MIMO) systems. These methods are proposed to solve the main problems
of the conventional closed-loop MISO and MIMO systems such as high Complexity, feedback
delay, the unknown average SNRs, dependant on transmit antennas, non-adaptivity to channels,
and phase ambiguity. In the third stage, the structure of the proposed Scalar Equal Gain Transmission
and Generalized Maximum Ratio Combining (SEGT/GMRC) scheme is followed to
design the limited-feedback codebooks for MISO and MIMO systems which provide a different
methodology as compared to the previous well-known codebooks. The proposed quantized
equal-gain (QE) codebooks, requires the minimum number of feedback bits to form the beamforming
vector. In the fourth stage, the proposed QE codebooks are employed to provide the
distributed spatial diversity in a wireless relay network. Since transmit antennas are independent,
the extension to relay network is straightforward. The new design is named Distributed
QE (DQE) codebooks, in which each relay node stores a QE codebook. In this research, the
wireless open-access research platform (WARP) is employed for prototyping the proposed QE
codebooks. The proposed new geometrical space diversity system eliminates the searching
process and serves as the optimal system for equal-gain MISO transmission systems.
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