Title :
QRD based tree search data detection for MIMO communication systems
Author_Institution :
Dept. of Digital Wireless, Inst. of Infocomm Res., Singapore
fDate :
30 May-1 June 2005
Abstract :
Due to the capacity achievable, multiple-input/multiple-output (MIMO) systems has gained popularity in recent years. While several data detection algorithms are available for MIMO systems, simple algorithms usually perform unsatisfactorily, while more complex ones are infeasible for hardware implementation. In this paper, we compare two QRD based tree search algorithms which can be likely candidates for implementation purposes due to their relatively low computational complexity. The QRD-M algorithm proposed in (J Yue, et al, 2003) yields near-M L performance while only requiring a fraction of the computational complexity of an ML receiver. The QRD-stack algorithm displays similar performance. The performance of both QRD-M and QRD-stack algorithms are compared and while both algorithms achieve near-ML performance, the QRD-stack algorithm is shown to be more efficient and has a much lower computational complexity as compared to QRD-M.
Keywords :
MIMO systems; computational complexity; data communication; tree searching; MIMO communication systems; ML receiver; QR decomposition-M algorithm; QR decomposition-stack algorithm; computational complexity; data detection algorithms; multiple-input/multiple-output systems; tree search data detection; Computational complexity; Detection algorithms; Displays; Hardware; Interference cancellation; Iterative algorithms; MIMO; Matrix decomposition; Maximum likelihood detection; Transmitters;
Conference_Titel :
Vehicular Technology Conference, 2005. VTC 2005-Spring. 2005 IEEE 61st
Print_ISBN :
0-7803-8887-9
DOI :
10.1109/VETECS.2005.1543595