DocumentCode :
3347015
Title :
Semi-Blind Multi-User Detection for LTE PUCCH
Author :
Yang Hu ; Astely, David ; Baldemair, Robert ; Falahati, Sorour
Author_Institution :
Ericsson (China) Commun. Co. Ltd., Beijing
fYear :
2009
fDate :
5-8 April 2009
Firstpage :
1
Lastpage :
5
Abstract :
In long term evolution (LTE) specification, physical uplink control channel (PUCCH) consists of two basic transmission formats, i.e. formats 1a/1b and format 2, carrying some control signals fed back to eNodeB, e.g. ACK/NACK related to downlink data transmission blocks and downlink channel quality indicator (CQI). At eNodeB, conventional receiver detection algorithm is to do coherent data detection by utilizing reference signals (RS) based channel estimation, also called non-blind algorithm, whose detection performance is greatly limited by RS density and data coding rate. In this paper, a semi-blind algorithm is introduced to improve channel estimation accuracy by also using data energy besides RS energy at a cost of a higher computational complexity. The analyzes is done for both formats 1a/1b and format 2. Simulation results show that semi-blind algorithms efficiently improve the performance of format 2 because format 2 has lower RS density and higher coding rate than formats 1a/1b.
Keywords :
channel estimation; multiuser detection; LTE; PUCCH; channel estimation; channel quality indicator; data energy; long term evolution; multi user detection; non blind algorithm; physical uplink control channel; reference signals; semi blind algorithm; transmission formats; Channel estimation; Communication system control; Communications Society; Costs; Data communication; Detection algorithms; Downlink; Long Term Evolution; Multiuser detection; Quadrature phase shift keying;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2009. WCNC 2009. IEEE
Conference_Location :
Budapest
ISSN :
1525-3511
Print_ISBN :
978-1-4244-2947-9
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2009.4917962
Filename :
4917962
Link To Document :
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