DocumentCode :
659694
Title :
A Stable Expected Complexity Sphere Detection with IRA Enhancement
Author :
Xiaolong Guo ; Songlin Sun ; Xiaojun Jing ; Hai Huang
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun. (BUPT), Beijing, China
fYear :
2013
fDate :
2-5 June 2013
Firstpage :
1
Lastpage :
5
Abstract :
A new detection method based on sphere decoding (SD) is proposed in this paper to approach near-maximum likelihood (ML) performance for multi-input multi- output (MIMO) detection. The feature of the proposed method is that the complexity which means the electric power consumption in detection processing is stable for a wide range of signal-to-noise ratios (SNRs) and a number of antennas. We hold the complexity by a tree pruning mechanism which obtains detection radius through the close-form expression for the SD expected complexity R.Gowaikar and B.Hassibi, 2007. And the Increasing Radii Algorithm (IRA) mechanism is used in the method to reduce the SER at the stable expected complexity. The simulation results show that the method gets a low stable expected complexity without sacrificing much in terms of performance.
Keywords :
MIMO communication; antenna arrays; electromagnetic wave scattering; maximum likelihood decoding; trees (mathematics); wireless channels; IRA enhancement; MIMO; electric power consumption; expected complexity sphere detection stability; increasing radii algorithm; multiinput multioutput detection; multiple-input multiple-output communication systems; near-maximum likelihood performance; scattering-rich wireless channel; signal-to-noise ratios; sphere decoding; tree pruning; Complexity theory; Lattices; MIMO; Maximum likelihood decoding; Receivers; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2013 IEEE 77th
Conference_Location :
Dresden
ISSN :
1550-2252
Type :
conf
DOI :
10.1109/VTCSpring.2013.6691846
Filename :
6691846
Link To Document :
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