Analysis of hard decision and soft decision decoding algorithms of LDPC codes in AWGN

Jose, Rinu; Pe, Ameenudeen

doi:10.1109/iadcc.2015.7154744

Cited by 24 publications

(8 citation statements)

References 9 publications

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“…A simplified form of LR is the logarithmic‐likelihood‐ratio (LLR), which has been shown to be a very efficient metric for soft decoding of many powerful codes such as turbo and LDPC codes since they offer practical advantages such as low dynamic range and simplification of many decoding algorithms [21]. Performance analysis for soft‐ and hard‐decision decoding of LDPC codes on additive white Gaussian noise (AWGN) channels is given in [22]. Although hard‐decision decoding is computationally simpler, soft‐decision decoding has better performance in terms low BER [2, 19].…”

Section: Error Performance Evaluation and Simulation Resultsmentioning

confidence: 99%

Quadrature‐carrier amplitude phase shift keying

Öztekin

Erçelebi

2019

IET Communications

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Section: Error Performance Evaluation and Simulation Resultsmentioning

confidence: 99%

Quadrature‐carrier amplitude phase shift keying

Öztekin

Erçelebi

2019

IET Communications

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“…The chip is hosted in a high-vacuum, magnetically shielded enclosure at a temperature of about 13 milliKelvin. that potentially benefit from QA include MIMO downlink precoding [44], channel coding [36,75], network routing [11], security [26], and scheduling [27,41].…”

Section: Primer: Quantum Annealingmentioning

confidence: 99%

“…§3.2), which many QA machines use as input [6,18]. NP-complete and NP-hard problems other than ML MIMO detection in the field of (wireless) networking that potentially benefit from QA include MIMO downlink precoding [44], channel coding [36,75], network routing [11], security [26], and scheduling [27,41].…”

Section: Primer: Quantum Annealingmentioning

confidence: 99%

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

Kim

Venturelli

Jamieson

2019

Proceedings of the ACM Special Interest Group on Data Communication

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User demand for increasing amounts of wireless capacity continues to outpace supply, and so to meet this demand, significant progress has been made in new MIMO wireless physical layer techniques. Higher-performance systems now remain impractical largely only because their algorithms are extremely computationally demanding. For optimal performance, an amount of computation that increases at an exponential rate both with the number of users and with the data rate of each user is often required. The base station's computational capacity is thus becoming one of the key limiting factors on wireless capacity. QuAMax is the first large MIMO centralized radio access network design to address this issue by leveraging quantum annealing on the problem. We have implemented QuAMax on the 2,031 qubit D-Wave 2000Q quantum annealer, the state-of-the-art in the field. Our experimental results evaluate that implementation on real and synthetic MIMO channel traces, showing that 10 µs of compute time on the 2000Q can enable 48 user, 48 AP antenna BPSK communication at 20 dB SNR with a bit error rate of 10 −6 and a 1,500 byte frame error rate of 10 −4 .

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“…The iteration process has two main algorithms [11], hard decision (Bit Flipping) decoding algorithm and Soft decision decoding algorithm.…”

Section: Ldpc Decodermentioning

confidence: 99%

Performance Evaluation and Assessment of LDPC Codec over DVB-S2 and WLAN802.11n Applications

Noor¹,

Mohammed²

2019

IJCA

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Low-Density Parity-Check (LDPC) codes are higher coding gains, the performance of LDPC code are closed to the Shannon limit, this make the decoding very attractive to many applications in digital communication systems, like DVB-S2 and WLAN802.11n, in this work the performance of LDPC code evaluated in different block lengths, code rates and number of iterations and implemented in MatLab simulation. In this work, a random signal is generated and encoded by multiplying the information by a matrix in the encoder, the resulting codeword modulated using BPSK modulation, codeword transmitted over an AWGN channel. This process implemented over different Eb/N 0 values.

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Analysis of hard decision and soft decision decoding algorithms of LDPC codes in AWGN

Cited by 24 publications

References 9 publications

Quadrature‐carrier amplitude phase shift keying

Quadrature‐carrier amplitude phase shift keying

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

Performance Evaluation and Assessment of LDPC Codec over DVB-S2 and WLAN802.11n Applications

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