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This paper presents a modified interpolation-based QR decomposition algorithm for the grouped-ordering multiple input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. Based on the original research that integrates the calculations of the frequency-domain channel estimation and the QR decomposition for the MIMO-OFDM system, this study proposes a modified algorithm that...
Due to the growing demand of transmission capacity of the wireless communication system, multiple-input multiple-output orthogonal-frequency-division-multiplexing (MIMO-OFDM) communication system requires more and more MIMO antennas and a large number of OFDM subcarriers. Thus, the QR decomposition becomes one of the computational bottlenecks in the QR-based MIMO detection. The proposed Givens-Rotation-based...
In the MIMO-OFDM system, QR-based MIMO detection suffers from high computational complexity of the QR decomposition due to the large numbers of antennas and subcarriers. Thus, interpolation-based QR decomposition was proposed to reduce the complexity. In this paper, we present a scalable interpolation-based QR decomposition algorithm for the grouped-ordering interpolation scheme. The proposed algorithm...
In this paper, we propose a QR-based MIMO detection algorithm and its architecture based on a non-sorted multiple-candidate selection process. The proposed multiple-candidate selection process can mitigate the error propagation problem in the general QR-SIC detection, and therefore the detection probability is increased. This algorithm requires only 24% of the computational complexity of the V-BLAST,...
This paper proposes a modified sorted-QR decomposition algorithm for the high-dimensional multiple-input multiple-output (MIMO) detection. Due to the growing demands of high-dimension MIMO channels and large number of OFDM subcarriers, the sorted-QR decomposition becomes one of the computational bottlenecks in the QR-based MIMO detection. The proposed Givens-rotation-based algorithm aims to improve...
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