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A soft tree pruning based fixed-complexity sphere decoder for interference-limited MIMO systems
Publikationstyp
Journal Article
Date Issued
2013
Sprache
English
Author(s)
Institut
TORE-URI
Start Page
3620
End Page
3625
Article Number
6555148
Citation
IEEE Wireless Communications and Networking Conference, WCNC : 7 - 10 April 2013, Shanghai, P.R. China. - Piscataway, NJ : IEEE, 2013. - Art.-Nr. 6555148 i.e. Seite 3620-3625
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
In wireless networks, interference from adjacent base stations is usually a dominant factor for user performance degradation. A maximum likelihood (ML) detection can provide superior performance by jointly detecting the serving and interfering signals. However, the complexity is extremely high. This paper presents a soft tree pruning based fixed-complexity sphere decoder. It uses reliability information on bits to estimate a search radius and thereby prunes unpromising nodes in the early stage of the tree search detection to reduce complexity. Based on the soft tree pruning method, the fixed-complexity sphere decoder can still work in a fully pipelined mode. Simulation results show that the soft tree pruning based fixed-complexity sphere decoder can provide a better trade-off between complexity and performance in interference-limited scenarios. © 2013 IEEE.
Subjects
Interference-limited MIMO systems
joint detection
LTE-A
ML detection
sphere decoder
tree pruning
DDC Class
600: Technik
620: Ingenieurwissenschaften