Computer Science – Information Theory
Scientific paper
2009-08-07
International Journal of Computer Science and Information Security, IJCSIS, Vol. 3, No. 1, July 2009, USA
Computer Science
Information Theory
7 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS 2009, ISSN 1947 5500, Impact f
Scientific paper
The current SINR mechanism does not provide the base station (BS) with any knowledge on the frequency selectivity of channel from mobile service station(MSS). This knowledge is important since, contrary to the AWGN channel, in a frequency selective channel there is no longer a 1 to 1 relation between amount of increase in power and amount of improvement in effective SINR 1. Furthermore, the relation is dependent on MCS level. This lack of knowledge in the BS side results in larger fade margins, which translates directly to reduction in capacity. In this paper we propose a enhanced algorithm on the EESM model with weighted beta (\beta) that provides the BS with sufficient knowledge on the channel-dependent relationship between power increase, MCS change and improvement in effective SINR.
Gamerio Alitio
Mumtaz Shahid
Sadeghi Rasool
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