A 15.8 pJ/bit/iter quasi-cyclic LDPC decoder for IEEE 802.11n in 90 nm CMOS

Roth, Christoph; Meinerzhagen, Pascal; Studer, Christoph; Burg, Andreas

doi:10.1109/asscc.2010.5716618

Cited by 30 publications

(32 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These improvements mainly result from the simple memory structure and permutation network, which can increase the frequency of the decoder and exploit the parallelism of the decoding process to improve the throughput of the decoder. Compared with the works only supporting one standard [7,9], the proposed decoder has a little performance loss in terms of the TP and TAR. The reason is that the structural complexity of these standard-specific decoders can be minimized.…”

Section: Performance Evaluation and Comparisonmentioning

confidence: 99%

See 1 more Smart Citation

An efficient multi-standard QC-LDPC decoder based on the row-layered decoding algorithm

Guo

Dou

Lei

et al. 2015

IEICE Electron. Express

View full text Add to dashboard Cite

This paper presents an efficient multi-standard decoder for quasicyclic low-density parity-check (QC-LDPC) codes. By employing the configurable multi-bank memory structure, simplified permutation network and multiple pipelined datapaths, the decoder can efficiently support WiMAX and WiFi standards without any structural changes. The offset-min-sumbased row-layered decoding algorithm is adopted to reduce the computation complexity. Based on these optimizations, the proposed decoder can achieve about 658 Mbps (1410 Mbps) and 527 Mbps (1129 Mbps) for WiMAX and WiFi standards on TSMC 130 nm (and 65 nm) Application Specific Integrated Circuits (ASICs) platforms, respectively. Compared with the previous works, the throughput can obtain up to 10× improvement for WiMAX standard and 5× improvement for WiFi standard.

show abstract

Section: Performance Evaluation and Comparisonmentioning

confidence: 99%

“…The row-layered (RL) decoding algorithm is proposed by Mansour and Shanbhag [7]. The RL decoding algorithm is an iteration process controlled by the maximum iteration number.…”

Section: Offset Min-sum Based Row-layered Decoding Algorithmmentioning

confidence: 99%

An efficient multi-standard QC-LDPC decoder based on the row-layered decoding algorithm

Guo

Dou

Lei

et al. 2015

IEICE Electron. Express

View full text Add to dashboard Cite

show abstract

“…Soft Decoding LDPC soft decoder was introduced in [16]. For detectors, Hochwald et al in [17] described a method to efficiently calculate the approximate LLRs from a list of candidates. It became possible to implement a soft output detector using (11).…”

Section: B On Demand Expansionmentioning

confidence: 99%

An Improved Soft Decision Based MIMO Detection Using Lattice Reduction

Rahman¹,

Rohani²,

Xu³

et al. 2014

IJCCE

View full text Add to dashboard Cite

Abstract-This paper presents a performance analysis of soft decision based Lattice Reduction (LR) aided Schnorr-Euchner (SE) multiple-input-multiple-output (MIMO) detection algorithm with that of a hard one. We develop an advanced soft decoding scheme, for 4×4 MIMO with different modulation schemes and it provides 1.3 to 1.5 dB improvement compared to the LR-aided hard decision based detection method. The optimum parameters for K and saturation limit are further derived using extensive simulation. In the conventional K-best algorithm limiting the LLR values is not beneficiary in reducing the optimum size of candidate list, whereas applying the saturation limit on the LLR values in LR-aided algorithm will result in more than 8x reduction in list size as well as in the complexity of detector and LLR calculation unit.Index Terms-MIMO, soft decoding, lattice reduction, and k-best detector.

show abstract

“…Optimal LLR quantization that maximizes the information rate for the special case of BPSK modulation over an AWGN channel was considered previously in [7], while [8] considered LLR quantization for MIMO-BICM systems with more general channels and higher-order symbol alphabets. The purpose of these optimizations is to reduce the amount of storage required for the deinterleaver since it accounts for a considerable portion of the overall receiver silicon area and power consumption [9].…”

Section: A Case-study: Mimo-bicm Systemmentioning

confidence: 99%

The effect of unreliable LLR storage on the performance of MIMO-BICM

Novak

Studer

Burg

et al. 2010

2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers

View full text Add to dashboard Cite

Abstract-Future semiconductor technologies will suffer from reliability issues, which requires a paradigm shift from the assumption of 100% reliable computations to fault-tolerant signal-processing systems. In this paper, we illustrate how the impact of unreliable circuits can be taken into account in the performance analysis of wireless communication systems. To this end, we consider the example of a multiple-input multiple-output (MIMO) system using bit-interleaved coded modulation in which a soft-output detector delivers quantized log-likelihood ratios (LLRs) to the channel decoder through an interleaver memory suffering from bit-flips due to reliability issues of the silicon implementation.

show abstract

A 15.8 pJ/bit/iter quasi-cyclic LDPC decoder for IEEE 802.11n in 90 nm CMOS

Cited by 30 publications

References 8 publications

An efficient multi-standard QC-LDPC decoder based on the row-layered decoding algorithm

An efficient multi-standard QC-LDPC decoder based on the row-layered decoding algorithm

An Improved Soft Decision Based MIMO Detection Using Lattice Reduction

The effect of unreliable LLR storage on the performance of MIMO-BICM

Contact Info

Product

Resources

About