Enhanced Algorithm for Link to System level Interface Mapping

TL;DR

This paper introduces an enhanced algorithm for link-to-system level interface mapping that improves base station understanding of frequency selectivity, leading to better capacity management in frequency selective channels.

Contribution

The paper proposes a novel weighted beta EESM algorithm that provides the BS with detailed knowledge of channel-dependent SINR improvements.

Findings

Improved SINR estimation accuracy in frequency selective channels

Reduced fade margins leading to increased capacity

Better link adaptation through enhanced channel knowledge

Abstract

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.