LATENCY-CONSTRAINED LOW-COMPLEXITY LATTICE REDUCTION FOR MIMO-OFDM SYSTEMS

被引:0
作者
Liao, Chun-Fu [1 ]
Lan, Fang-Chun [1 ]
Huang, Yuan-Hao [1 ]
Chiu, Po-Lin
机构
[1] Natl Tsing Hua Univ, Inst Commun Engn, Hsinchu, Taiwan
来源
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词
MIMO; OFDM; Lattice Reduction; LLL algorithm;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Recent studies have investigated lattice-reduction (LR) preprocessing technique for multiple-input multiple-output (MIMO) detection. However, if LR is applied to the orthogonal-frequency-division-multiplexing (OFDM) system, its complexity and latency increase greatly because of the large number of sub-carriers. This paper proposes a new processing architecture for LR-aided MIMO-OFDM system. This LR processing architecture reduces the number of iteration loops by using preprocessing matrix of adjacent sub-carrier. Beside, the grouping of sub-carriers can break the long critical computational path so as to comprise the computational complexity and latency. We simulate the proposed LR-aided MIMO-OFDM processing in the 3GPP-LTE system. The proposed method not only reduces the computational complexity but also shortens the latency for the lattice reduction.
引用
收藏
页码:1677 / 1680
页数:4
相关论文
共 6 条
[1]  
Choi BJ, 2010, INT CONF COMPUT AUTO, P801, DOI 10.1109/ICCAE.2010.5451812
[2]   Complex Lattice Reduction Algorithm for Low-Complexity Full-Diversity MIMO Detection [J].
Gan, Ying Hung ;
Ling, Cong ;
Mow, Wai Ho .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2009, 57 (07) :2701-2710
[3]   FACTORING POLYNOMIALS WITH RATIONAL COEFFICIENTS [J].
LENSTRA, AK ;
LENSTRA, HW ;
LOVASZ, L .
MATHEMATISCHE ANNALEN, 1982, 261 (04) :515-534
[4]  
Sandell M, 2007, IEEE WCNC, P1089
[5]   MMSE-based lattice-reduction for near-ML detection of MIMO systems [J].
Wübben, D ;
Böhnke, R ;
Kühn, V ;
Kammeyer, KD .
2004 ITG: WORKSHOP ON SMART ANTENNAS, PROCEEDINGS, 2004, :106-113
[6]  
Yao H, 2002, GLOB TELECOMM CONF, P424