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EESM-Based Link Adaptation in Point-to-Point and Multi-Cell OFDM Systems: Modeling and Analysis

Francis, Jobin and Mehta, Neelesh B (2014) EESM-Based Link Adaptation in Point-to-Point and Multi-Cell OFDM Systems: Modeling and Analysis. In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 13 (1). pp. 407-417.

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Official URL: http://dx.doi.org/10.1109/TWC.2013.112613.130716


In contemporary wideband orthogonal frequency division multiplexing (OFDM) systems, such as Long Term Evolution (LTE) and WiMAX, different subcarriers over which a codeword is transmitted may experience different signal-to-noise-ratios (SNRs). Thus, adaptive modulation and coding (AMC) in these systems is driven by a vector of subcarrier SNRs experienced by the codeword, and is more involved. Exponential effective SNR mapping (EESM) simplifies the problem by mapping this vector into a single equivalent fiat-fading SNR. Analysis of AMC using EESM is challenging owing to its non-linear nature and its dependence on the modulation and coding scheme. We first propose a novel statistical model for the EESM, which is based on the Beta distribution. It is motivated by the central limit approximation for random variables with a finite support. It is simpler and as accurate as the more involved ad hoc models proposed earlier. Using it, we develop novel expressions for the throughput of a point-to-point OFDM link with multi-antenna diversity that uses EESM for AMC. We then analyze a general, multi-cell OFDM deployment with co-channel interference for various frequency-domain schedulers. Extensive results based on LTE and WiMAX are presented to verify the model and analysis, and gain new insights.

Item Type: Journal Article
Additional Information: copyright for this article belongs to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Orthogonal frequency division multiplexing (OHM); adaptive modulation and coding; exponential effective SNR mapping (EESM); scheduling; cell throughput; co-channel interference; beta distribution
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 19 Mar 2014 05:00
Last Modified: 19 Mar 2014 05:00
URI: http://eprints.iisc.ac.in/id/eprint/48644

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