DocumentCode :
2558917
Title :
Effective SNR mapping algorithms for link prediction model in 802.16e
Author :
Aguilar, Fernando López ; Cidre, Gorka Rubio ; París, Javier Regidor
Author_Institution :
Telefonica R&D, Madrid, Spain
fYear :
2009
fDate :
12-14 Oct. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Link layer abstraction is crucial both the cross layer simulation and design and the interface to complete a system level simulator. The calibration takes an important role within this design. In this paper we have used several kinds of algorithms like EESM, CESM and LESM for the instantaneous channel, calibration and evaluation of the link level interface in WiMAX system 802.16e. In order to have real world situations, we are also using the adaptative modulation and coding (AMC), hybrid automatic repeat request (H-ARQ) and PUSC/FUSC permutation besides of OFDM systems. Plenty of simulations were made for evaluate the different algorithms and the results show that EESM has better accuracy that the others.
Keywords :
OFDM modulation; WiMax; adaptive modulation; automatic repeat request; calibration; encoding; telecommunication standards; CESM; EESM; LESM; OFDM systems; PUSC/FUSC permutation; SNR mapping algorithms; WiMAX system 802.16e; adaptative modulation; calibration; coding; cross layer simulation; fully used sub-carrier; hybrid automatic repeat request; link layer abstraction; link prediction; partially used sub-carrier; Automatic repeat request; Calibration; Diversity reception; Modulation coding; OFDM modulation; Prediction algorithms; Predictive models; Scalability; Tiles; WiMAX; 802.16e; CESM; EESM; H-ARQ; LESM; Link layer abstraction; PUSC/FUSC; SIMO; SIR Mapping; System level simulator; WiMAX Mobile;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
Type :
conf
DOI :
10.1109/ICUMT.2009.5345444
Filename :
5345444
Link To Document :
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