In this paper, a novel efficient algorithm for MIMO detection in MIMO-OFDM systems has been proposed. This paper also shows that the complexity can be greatly reduced by applying the threshold in the breadth-first tree search algorithm step to eliminating paths. That is, this algorithm derives thresholds based on the LR-aided nonlinear algorithm and performs a simple tree search detection algorithm. This algorithm requires a lower computational complexity than the conventional QRD-M detection algorithm and achieves the same bit error performance. After the novel detection algorithm is proposed, this paper applies this algorithm to the MIMO-OFDM system for performance comparison in terms of error performance and complexity. In many cases of MIMO-OFDM receivers, the proposed method will be an excellent option for implementation.
This paper proposes a high performance wireless commmunication technology in MU-MIMO systems. The millimeter wave (mmWave) communication technology was considered for the future wireless communication systems such as the fifth-generation new radio (5G NR). In 5G NR, the mmWave communication technology was studied to increase the use of wide bandwidth and the data rate. Therefore, MU-MIMO systems can be used in mmWave. To decrease the complexity of conventional digital beamforming system, the hybrid beamforming system was studied. In particular, the proposed hybrid beamforming system improves the error performance and average sum rate in partially connected structure (PCS) hybrid beamforming system. The proposed PCS hybrid beamforming system forms variously combined beam patterns using the information of azimuth and elevation angles for the multi-paths according to the number of bits. In addition, the azimuth and elevation angles among the formed beam patterns are estimated according to the received signal strength (RSS). In the simulation results, the proposed PCS hybrid beamforming system has better error performance and the average sum rate than the conventional hybrid beamforming system.
Distributed video coding (DVC) is an emerging video coding technology that utilises information theory for distributed sources to build a very simple encoder. In the DVC codec, the reconstruction function for the Wyner-Ziv (WZ) frame is one of the most important modules for improving the quality of the decoded image. An efficient reconstruction algorithm is proposed that uses neighbour pixel information. Simulation results show that the proposed algorithm improves the quality of the decoded image without an increase in the bit rate.Introduction: The Wyner -Ziv (WZ) codec is a new video encoding and decoding system that uses quantisation, turbo code, punctured matrix, and side information. Theoretical work for lossless coding with side information was performed in [1] and is referred to as Slepian -Wolf coding. In [2], Slepian-Wolf coding was used with a channel coding scheme. This work was extended to lossy compression by Wyner and Ziv [3]. Recently, practical coding techniques using Slepian-Wolf and WZ coding have been studied in [4][5][6][7]. Pradhan and Ramchandran [4] presented a practical framework that sends the syndrome of the codeword coset. , Bajcsy and Mitran [6], and Aaron and Girod [7] showed that the performance of a Slepian-Wolf system using turbo code comes close to the Slepian-Wolf bound. Many techniques have been proposed to improve the performance of these systems [8,9]. Among these, the reconstruction scheme for the WZ frame is one of the most important techniques to improve the quality of a reconstructed image.
For a low complexity signal detector to reduce the power consumption for multiple input and multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems, the depth-first sphere decoding (DFSD) detection scheme was proposed. However, the DFSD detection scheme still has high complexity in the hardware implementation. The complexity is especially high when the signal-to-noise ratio (SNR) is low. Therefore, this paper proposes an adaptive DFSD detection scheme. The proposed detection scheme arrays nodes, sorting by ascending order of squared Euclidean distance (ED) at the top layer of tree structure. Then, the proposed detection scheme uses the different number of nodes according to thresholds based on channel condition. In the simulation results, the proposed detection scheme has similar error performance and low complexity compared with the conventional DFSD detection scheme. Therefore, the proposed detection scheme reduces the power consumption in the signal detector.
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