DocumentCode :
3432524
Title :
Joint transceiver designs using lattice reduction algorithms
Author :
Qi Zhou ; Xiaoli Ma
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
584
Lastpage :
588
Abstract :
This paper proposes a novel linear transceiver design using lattice reduction algorithms. We propose a novel transceiver optimization problem that aims to minimize the sum of mean square errors (MSEs) of information symbols in a lattice-reduced domain. To alleviate the high complexity of solving the optimization problem, we devise an alternating algorithm to find a sub-optimal solution with low complexity. Since the optimized sum of MSEs of the information symbols in the lattice-reduced domain is smaller than that of information symbols, the proposed design achieves better error performance. Simulations are conducted to validate the superior performance of the proposed design.
Keywords :
mean square error methods; optimisation; radio transceivers; MSEs; information symbols; joint linear transceiver designs; lattice reduction algorithms; lattice-reduced domain; mean square errors; suboptimal solution; transceiver optimization problem; Algorithm design and analysis; Covariance matrices; Joints; Lattices; MIMO; Optimization; Transceivers; Lattice reduction; MIMO; joint transceiver optimization; linear precoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625408
Filename :
6625408
Link To Document :
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