Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems

Abstract This work proposes a novel cross-layer link performance prediction (LPP) model and link adaptation (LA) strategy for soft-decoded multiple-input multiple-output (MIMO) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) systems employing hybrid automatic repeat reque...

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Main Authors: Riccardo Andreotti, Vincenzo Lottici, Filippo Giannetti
Format: Article
Language:English
Published: SpringerOpen 2018-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13638-017-1008-y
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author Riccardo Andreotti
Vincenzo Lottici
Filippo Giannetti
author_facet Riccardo Andreotti
Vincenzo Lottici
Filippo Giannetti
author_sort Riccardo Andreotti
collection DOAJ
description Abstract This work proposes a novel cross-layer link performance prediction (LPP) model and link adaptation (LA) strategy for soft-decoded multiple-input multiple-output (MIMO) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) systems employing hybrid automatic repeat request (HARQ) protocols. The derived LPP, exploiting the concept of effective signal-to-noise ratio mapping (ESM) to model system performance over frequency-selective channels, does not only account for the actual channel state information at the transmitter and the adoption of practical modulation and coding schemes (MCSs), but also for the effect of the HARQ mechanism with bit-level combining at the receiver. Such method, named aggregated ESM, or αESM for short, exhibits an accurate performance prediction combined with a closed-form solution, enabling a flexible LA strategy, that selects at every protocol round the MCS maximizing the expected goodput (EGP), i.e., the number of correctly received bits per unit of time. The analytical expression of the EGP is derived capitalizing on the αESM and resorting to the renewal theory. Simulation results carried out in realistic wireless scenarios corroborate our theoretical claims and show the performance gain obtained by the proposed αESM-based LA strategy when compared with the best LA algorithms proposed so far for the same kind of systems.
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spelling doaj.art-8dae8c39c9c8497a9b4f35535e3da8d82022-12-21T19:44:34ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-01-012018111710.1186/s13638-017-1008-yCross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systemsRiccardo Andreotti0Vincenzo Lottici1Filippo Giannetti2Wireless Systems Engineering and Research (WISER) S.r.l.Department of Information Engineering, University of PisaDepartment of Information Engineering, University of PisaAbstract This work proposes a novel cross-layer link performance prediction (LPP) model and link adaptation (LA) strategy for soft-decoded multiple-input multiple-output (MIMO) bit-interleaved coded orthogonal frequency division multiplexing (BIC-OFDM) systems employing hybrid automatic repeat request (HARQ) protocols. The derived LPP, exploiting the concept of effective signal-to-noise ratio mapping (ESM) to model system performance over frequency-selective channels, does not only account for the actual channel state information at the transmitter and the adoption of practical modulation and coding schemes (MCSs), but also for the effect of the HARQ mechanism with bit-level combining at the receiver. Such method, named aggregated ESM, or αESM for short, exhibits an accurate performance prediction combined with a closed-form solution, enabling a flexible LA strategy, that selects at every protocol round the MCS maximizing the expected goodput (EGP), i.e., the number of correctly received bits per unit of time. The analytical expression of the EGP is derived capitalizing on the αESM and resorting to the renewal theory. Simulation results carried out in realistic wireless scenarios corroborate our theoretical claims and show the performance gain obtained by the proposed αESM-based LA strategy when compared with the best LA algorithms proposed so far for the same kind of systems.http://link.springer.com/article/10.1186/s13638-017-1008-yOrthogonal frequency division multiplexing (OFDM)Bit-interleaved coded modulation (BICM)Hybrid automatic-repeat-request (HARQ)GoodputLink performance predictionLink adaptation
spellingShingle Riccardo Andreotti
Vincenzo Lottici
Filippo Giannetti
Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
EURASIP Journal on Wireless Communications and Networking
Orthogonal frequency division multiplexing (OFDM)
Bit-interleaved coded modulation (BICM)
Hybrid automatic-repeat-request (HARQ)
Goodput
Link performance prediction
Link adaptation
title Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
title_full Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
title_fullStr Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
title_full_unstemmed Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
title_short Cross-layer link adaptation for goodput optimization in MIMO BIC-OFDM systems
title_sort cross layer link adaptation for goodput optimization in mimo bic ofdm systems
topic Orthogonal frequency division multiplexing (OFDM)
Bit-interleaved coded modulation (BICM)
Hybrid automatic-repeat-request (HARQ)
Goodput
Link performance prediction
Link adaptation
url http://link.springer.com/article/10.1186/s13638-017-1008-y
work_keys_str_mv AT riccardoandreotti crosslayerlinkadaptationforgoodputoptimizationinmimobicofdmsystems
AT vincenzolottici crosslayerlinkadaptationforgoodputoptimizationinmimobicofdmsystems
AT filippogiannetti crosslayerlinkadaptationforgoodputoptimizationinmimobicofdmsystems