標題: Complexity Reduction by Using QR-Based Scheme in Computing Capacity for Optimal Transmission
作者: Pan, Chien-Hung
電信工程研究所
Institute of Communications Engineering
關鍵字: Multiple-input multiple-output;Channel capacity;QR decomposition;Eigenvalues;Mutual information;Field-programmable gate array
公開日期: 1-五月-2011
摘要: Multiple-input-multiple-output (MIMO) technique is often employed to increase capacity in comparing to systems with single antenna. However, the computational complexity in evaluating channel capacity or transmission rate (data rate) grows proportionally to the number of employed antennas at both ends of the wireless link. Recently, the QR decomposition (QRD) based detection schemes have emerged as a low-complexity solution. After conducting QRD on a full channel matrix that results in a triangular matrix, we claim that computational complexity can be simplified by the following ways. First, to simplify channel capacity calculation, we prove that eigenvalues of the full channel matrix multiplication equals eigenvalues of the triangular channel matrix multiplication. Second, to simplify the calculation of the optimal transmission rate constrained constellation, we propose a simplistic multiplication of the resulted simple triangular matrix and a transmitted signal vector. Then, we also propose a modified mutual information calculation (MMIC) to achieve a quite low-complexity via the divided calculation. By using computer simulation and field- programmable gate array (FPGA) implementation, simulation results show that the proposed QRD-based schemes are capable of achieving conventional performance, but at a low-complexity level.
URI: http://dx.doi.org/10.1007/s11277-009-9897-7
http://hdl.handle.net/11536/8934
ISSN: 0929-6212
DOI: 10.1007/s11277-009-9897-7
期刊: WIRELESS PERSONAL COMMUNICATIONS
Volume: 58
Issue: 2
起始頁: 391
結束頁: 405
顯示於類別:期刊論文


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