Low complexity Soft-Input Soft-Output Hamming Decoder

Müller, Benjamin; Holters, Martin; Zölzer, Udo

doi:10.1109/fitce.2011.6133448

Cited by 13 publications

(6 citation statements)

References 7 publications

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“…The LLRs z (k,m) are subsequently de-interleaved and fed to a Hamming soft-decoder (e.g., [40]). This soft-decoder outputs new LLR values v (m,k) , from which an estimation b(m,p) of the transmitted bits is obtained.…”

Section: B Detection and Decoding For Loramentioning

confidence: 99%

Enhancing the Reliability of Dense LoRaWAN Networks With Multi-User Receivers

Tapparel

Xhonneux

Bol

et al. 2021

IEEE Open J. Commun. Soc.

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LoRaWAN is a low-power wireless technology that provides long-range connectivity to battery-powered Internet of things (IoT) devices. To minimize the energy consumption of the IoT nodes, LoRaWAN networks use for the uplink a pure non-slotted ALOHA multiple access scheme. Since the devices are not synchronized in time, collisions between uplink packets are the main source of errors when the number of nodes becomes important. To improve the reliability of dense LoRaWAN networks, we propose in this paper a successive interference cancellation LoRa receiver capable of decoding frames from two colliding users. The proposed two-user detector leverages the bit-interleaved coded modulation scheme of LoRa to improve the detection and cancellation of the strongest interfering user. We show that in the presence of two interfering users, the usage of a low coding-rate and iterative soft-detection are essential to attain error rates sufficiently close to the single-user scenario. Using network-level simulations, we subsequently evaluate the gains of our proposed two-user receiver in a realistic LoRaWAN network. To this end, we build advanced models of the studied receivers using Monte-Carlo simulations at the physical layer. For an overall packet error rate of 1%, simulation results indicate that a LoRaWAN network employing our two-user detector may serve 4.7 times more devices than a network with only a single-user receiver at the gateway.

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Section: B Detection and Decoding For Loramentioning

confidence: 99%

Enhancing the Reliability of Dense LoRaWAN Networks With Multi-User Receivers

Tapparel

Xhonneux

Bol

et al. 2021

IEEE Open J. Commun. Soc.

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“…However, one disadvantage of this iterative decoding technique is the greater delay that can be caused by complex calculations with an increasing number of iterations. To solve this problem, in this paper, we introduce a method using the low-complexity SISO decoding [5] proposed by Benjamin Muller. Since the decoding relies on an error table, error syndromes are first calculated through a syndrome check, and then, an error table corresponding to each error syndrome is generated.…”

Section: Low-complexity Siso Decodingmentioning

confidence: 99%

“…In order to enhance the performance of the technique developed from Benjamin Muller's method [5], this paper introduces an iterative decoding technique capable of achieving outstanding BER performance using an alpha obtained from simulation on turbo decoder [7]. Figure 4 shows the structure of iterative decoding produced by adding an alpha value retrieved from simulation on turbo decoder connected in series [11][12] increases from 1dB to 10dB at 1dB interval.…”

Section: Iterative Siso Decoding Using An Alpha Valuementioning

confidence: 99%

“…BER performance improves with an increasing number of iterations, however, the complex structure of iterative techniques and the log likelihood ratio (LLR) calculations result in a greater delay [4]. The complexity of calculations can be reduced using the low-complexity SISO algorithm proposed by Benjamin Muller, but redundant iterations accompanying the increasing number of iterations result in a greater delay and less significant improvement in the bit error rate (BER) performance [5].…”

Section: Introductionmentioning

confidence: 99%

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Efficient Decoding Technique for Block Product Turbo Codes

Lim¹,

Song²

2016

IJMUE

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In this paper, we propose an efficient technique for an iterative soft input soft output (SISO) decoding algorithm of block turbo codes with constituent Hamming codes. Pyndiah's iterative decoding algorithm for block turbo codes supports various code rates by using concatenation, and shows high bit error rate (BER) performance in an additive white Gaussian noise channel (AWGN) environment as the iterative decoding progresses. However, one disadvantage of this code is that the delay increases during decoding with an increasing number of iterations. By employing syndrome-based iterative SISO decoding and iterative SISO decoding using an alpha value, we could obtain high BER performance. In addition, we propose a SISO-hybrid maximum likelihood decoding (SISO-H-MLD) algorithm which achieves almost the same performance as SISO decoding while reducing the number of iterations.

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“…We found that this method gives a 70× boost in the code speedup with respect the optimal method proposed by the IT++ library. Several authors have investigated the performance of this approach, and the works in [33][34][35] have demonstrated a loss of only 2 dB in the Bit Error Rate (BER).…”

Section: Platform Generic Optimizationmentioning

confidence: 99%