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arxiv: 0908.1116 · v1 · submitted 2009-08-07 · 💻 cs.IT · cs.PF· math.IT

Enhanced Algorithm for Link to System level Interface Mapping

classification 💻 cs.IT cs.PFmath.IT
keywords knowledgechannelsinralgorithmamountbetaeffectiveenhanced
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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.

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