Title :
WLC44-5: Signal to Interference Prediction for Adaptive Radio Links
Author :
Ling, Jonathan ; Tureli, Uf
Author_Institution :
Bell Labs., Holmdel, NJ
fDate :
Nov. 27 2006-Dec. 1 2006
Abstract :
We examine the prediction of the signal to interference ratio by the mobile as a means of improving the channel feedback in adaptive radio links. A cellular system is considered where the pilots of the desired and interfering basestation are available to obtain channel estimates. Both are modeled as auto-regressive (AR) stochastic processes. We derive the density function of the conditional SIR in order for the mobile to determine the backoff margin required for a percentage of packets to be decoded successfully.
Keywords :
adaptive estimation; autoregressive processes; cellular radio; channel estimation; feedback; radio links; wireless channels; adaptive radio links; auto-regressive stochastic process; cellular system; channel estimation; channel feedback; density function; mobile radio; packet decoding; signal to interference prediction; Channel capacity; Decoding; Delay effects; Delay estimation; Downlink; Feedback; Interference; Performance gain; Predictive models; Radio link;
Conference_Titel :
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
1-4244-0356-1
Electronic_ISBN :
1930-529X
DOI :
10.1109/GLOCOM.2006.875
