What semi-blind channel estimation brings in terms of throughput gain ?

Ladaycia, Abdelhamid; Mokraoui, Anissa; Abed-Meraim, Karim; Belouchrani, Adel

doi:10.1109/icspcs.2016.7843301

Cited by 6 publications

(2 citation statements)

References 11 publications

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“…To meet a trade-off between waste of bandwidth and power on one hand and, blind channel estimation ambiguities on the other hand, an intermediate solution is semi-blind estimation [3]: it uses a limited number of pilot sequences compared to training-based methods and improves the quality of channel estimation compared to blind estimation algorithms [4]. The idea here is to get a first raw estimate of the channel using pilot symbols and then, to progressively improve its accuracy by considering recovered symbols to define extended pilot The authors would like to thank the Brittany Region and PRACOM for their financial support.…”

Section: Introductionmentioning

confidence: 99%

Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems

Hajji

Amis

Bey

2018

2018 IEEE 10th International Symposium on Turbo Codes &Amp; Iterative Information Processing (ISTC)

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In this paper, we address the problem of channel estimation and signal detection in large MIMO FEC-coded systems assuming finite alphabet modulations. We consider a semi-blind iterative expectation maximization algorithm which relies on a limited number of pilot sequences to initialize the estimation process. We propose to include the estimation process within a turbo finite-alphabet simplicity (FAS)-based detection receiver. To that purpose we define two estimation updates from the FEC decoder output. Simulations carried out in both determined and undetermined configurations show that the resulting scheme outperforms the state-of-the-art receiver which uses an MMSE estimation criterion and that it reaches the maximum-likelihood lower-bound.

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Section: Introductionmentioning

confidence: 99%

Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems

Hajji

Amis

Bey

2018

2018 IEEE 10th International Symposium on Turbo Codes &Amp; Iterative Information Processing (ISTC)

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“…Indeed the explosive growth of high data rate applications where the corresponding energy consumption is also growing at a staggering rate has urged for an intensive research work on green communications to protect our environment and cope with global warming [5]. In [6], the throughput problem has been investigated for Single-Input Multiple-Output Orthogonal Frequency Division Multiplexing (SIMO-OFDM) systems. In [7], authors present the state-of-the-art of the green communications methods.…”

Section: Introductionmentioning

confidence: 99%

Toward green communications using semi-blind channel estimation

Ladaycia

Mokraoui

Abed-Meraim

et al. 2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-In most Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, channel estimation is required for equalization and symbol detection. It often exploits the specified pilot symbols consuming not only a large part of the throughput but also significant power resources. This paper quantifies the theoretical maximum power reduction of the transmitted pilots when semiblind channel estimator is deployed while ensuring the same pilot-based channel estimation performance for BPSK/QPSK data models and a block-type pilot arrangement as specified in the IEEE 802.11n standard. A Least Square Decision Feedback (LS-DF) semi-blind channel estimator is then considered showing that a reduction of 76% of the pilot's power is obtained compared to the LS pilot-based estimator for the same channel estimation performance.

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