DocumentCode :
3542046
Title :
Research of Sphere Decoding Detection Algorithm in LTE-A System
Author :
Xu Ren ; Huahua Wang
Author_Institution :
Chongqing Univ. of Posts & Telecommun., Chongqing, China
fYear :
2012
fDate :
21-23 Sept. 2012
Firstpage :
1
Lastpage :
4
Abstract :
Multi-Input Multi-Output (MIMO) has become a popular technique to increase spectral efficient. Meanwhile, the design of cost-effective receiver for LTE-A system remains a challenging task. The sphere detection algorithm performs exact Maximum Likelihood (ML) detection algorithm, however, its decoding complexity is greatly impacted by the initial radius of decoding. A new type of sphere decoding algorithm based on threshold is proposed in this paper. This new algorithm, considering the influence of signal-to-noise ratio and channel condition number on detection algorithm, has lower sphere decoding complexity and ensures performance of sphere decoding. This algorithm has been applied to the LTE-TDD wireless integrated test instrument and has shown perfect performance.
Keywords :
Long Term Evolution; MIMO communication; communication complexity; maximum likelihood decoding; maximum likelihood detection; radio receivers; radio spectrum management; wireless channels; LTE-A system; LTE-TDD wireless integrated test instrument; MIMO; ML detection algorithm; channel condition number; cost-effective receiver design; maximum likelihood detection algorithm; multiinput multioutput; signal-to-noise ratio; spectral efficiency; sphere decoding algorithm; sphere decoding complexity; sphere decoding detection algorithm; sphere detection algorithm; Algorithm design and analysis; Bit error rate; Complexity theory; Maximum likelihood decoding; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on
Conference_Location :
Shanghai
ISSN :
2161-9646
Print_ISBN :
978-1-61284-684-2
Type :
conf
DOI :
10.1109/WiCOM.2012.6478645
Filename :
6478645
Link To Document :
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