DocumentCode :
2031327
Title :
Statistical analysis of OFDMA assignments
Author :
Martin, Maria Vega ; Gross, James
Author_Institution :
Ericsson Local Support, Ericsson Espana, S.A., Spain
fYear :
2008
fDate :
21-24 Oct. 2008
Firstpage :
16
Lastpage :
20
Abstract :
In this paper we investigate statistical properties of IP optimal subcarrier assignments in the down-link of an OFDMA cell. Essentially, we show that such subcarrier assignments do have ¿hidden¿ statistical properties which can be exploited to design an extremely simple assignment strategy. We investigate such statistical properties and the corresponding performance of the simple assignment rules regarding a specific, well-known, NP-hard assignment problem. Although our approach is ¿light-weight¿ in complexity, the strategy provides a significant performance gain compared to static assignments. Finally, we investigate our approach also for other optimization problems in the context of multi-user OFDMA assignments.
Keywords :
OFDM modulation; computational complexity; optimisation; IP optimal subcarrier assignments; NP-hard assignment problem; OFDMA; statistical analysis; Attenuation; Data communication; Fading; OFDM; Performance gain; Physical layer; Resource management; Runtime; Standardization; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Systems. 2008. ISWCS '08. IEEE International Symposium on
Conference_Location :
Reykjavik
Print_ISBN :
978-1-4244-2488-7
Electronic_ISBN :
978-1-4244-2489-4
Type :
conf
DOI :
10.1109/ISWCS.2008.4726009
Filename :
4726009
Link To Document :
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