2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications 2009
DOI: 10.1109/pimrc.2009.5449772
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Exponential Effective SIR metric for LTE downlink

Abstract: Abstract-3GPP LTE is the evolution of UMTS which will make possible to deliver next generation high quality multimedia services according to the users' expectations. The flexibility of the downlink OFDM radio interface with Adaptive Modulation and Coding (AMC), MIMO and H-ARQ plays a crucial role in achieving the low latency and high spectral efficiency promised by the new radio access standard. This paper presents a LTE DL link level simulator whose main purpose is to generate suitable look-up tables to inter… Show more

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Cited by 31 publications
(15 citation statements)
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“…8 dB log-normal shadowing is applied following the model proposed in [14] with a correlation coefficient between cells equal to 0.5. It is important to note that achievable rates were computed taking into account the instantaneous channel conditions and according to the adaptive modulation and coding used in LTE, as specified in [15]. This mapping has been done using the link abstraction model based in mutual information at modulation symbol level [16], which outperforms the classic Effective Exponential SINR model because it is able to predict the BLER with higher accuracy, particularly for higher order modulations, such as 64-QAM.…”
Section: Methodsmentioning
confidence: 99%
“…8 dB log-normal shadowing is applied following the model proposed in [14] with a correlation coefficient between cells equal to 0.5. It is important to note that achievable rates were computed taking into account the instantaneous channel conditions and according to the adaptive modulation and coding used in LTE, as specified in [15]. This mapping has been done using the link abstraction model based in mutual information at modulation symbol level [16], which outperforms the classic Effective Exponential SINR model because it is able to predict the BLER with higher accuracy, particularly for higher order modulations, such as 64-QAM.…”
Section: Methodsmentioning
confidence: 99%
“…In this sense, each user computes the SINR per sub-carrier and derives an effective SINR (ESINR) per PRB. This mapping has been done using the link abstraction model based in mutual information at modulation symbol level [11], which outperforms the classic Effective Exponential SINR model, particularly in the prediction of high order modulations BLER (64QAM) [12].…”
Section: Methodsmentioning
confidence: 99%
“…Now, let us assume that trueγmn is a vector containing the SINR values for those subcarriers in PRB n . Then, for the particular case of LTE, the achievable throughput can be obtained by means of the following steps (see Table ): γmMathClass-punc,normalefnMathClass-rel=Γ()trueγmn italicCQImnMathClass-rel=Λ()γmMathClass-punc,normalefn italicTHmnMathClass-rel=f()italicCQImn Equation corresponds to the effective SINR computation . Equation represents the mapping of this value into a channel quality indicator (CQI).…”
Section: Intercell Interference Coordination For Orthogonal Frequencymentioning
confidence: 99%