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检索条件"主题词=Iterative detection and decoding"

共 88 条记录，以下是71-80 订阅

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Shuffled iterative Receiver for LDPC-Coded MIMO Systems

Shuffled Iterative Receiver for LDPC-Coded MIMO Systems

引用

IEEE International Conference on Communications (ICC)

作者： Zhao, Peiyao Qian, Chen Wang, Zhaocheng Dai, Linglong Chen, Sheng Tsinghua Univ Dept Elect Engn Tsinghtia Natl Lab Informat Sci & Technol TNList Beijing 100084 Peoples R China Univ Southampton Elect & Comp Sci Southampton SO17 1BJ Hants England King Abdulaziz Univ Fac Engn Jeddah 21589 Saudi Arabia

ISBN: (纸本)9781467364324

In this paper, we consider the low density parity check (LDPC) coded multi-input multi-output (MIMO) system with iterative detection and decoding (IDD). Since the traditional frame-by-frame receiver scheme suffers from a huge decoding delay, we propose an efficient scheme with a shuffled structure between the demapper and decoder, which adopts group vertical shuffled belief propagation (BP) algorithm. The proposed shuffled iterative receiver converges faster and significantly reduces the delay introduced by the IDD process. Simulation results demonstrate that our proposed shuffled iterative receiver exhibits several tenths dB of signal-to-noise ratio gain in comparison to the existing schemes, while imposing a much lower average number of iterations for the IDD process.

关键词： iterative detection and decoding MIMO shuffled iterative receiver LDPC code shuffled BP algorithm

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An Efficient Soft-Input Soft-Output Decoder for Polar Codes in MIMO iterative detection System

An Efficient Soft-Input Soft-Output Decoder for Polar Codes ...

引用

IEEE Wireless Communications and Networking Conference (WCNC)

作者： Fominykh, Anna Frolov, Alexey Qin, Kangjian Skolkovo Inst Sci & Technol Ctr Next Generat Wireless & IoT NGW Moscow Russia Huawei Technol Co Ltd Wireless Technol Lab Shenzhen Peoples R China

ISBN: (纸本)9781665491228

iterative detection and decoding (IDD) induces higher performance than separate detection and decoding schemes. However, IDD requires the exchange of soft information between the detector and decoder, thus decoders should be able to process soft input and provide soft output (SISO). Existing SISO polar decoders such as belief propagation (BP) and soft cancellation (SCAN) give poor block error rate (BLER) performance compared with cyclic redundancy check (CRC)-aided successive cancellation list (CA-SCL) decoders, whereas other more sophisticated SISO decoders have high complexity albeit good BLER performance. In this paper, an efficient SISO decoder that provides both high BLER performance and low complexity is proposed for polar codes in IDD system. Specifically, the proposed SISO decoder employs the sum-product algorithm over the sparse parity-check matrix representation of polar codes for lower complexity and uses the best candidates from list decoders for good error correction performance. We comprehensively evaluate the proposed SISO decoder performance in MIMO iterative system. Simulation results show that the proposed SISO decoder outperforms the existing SCAN and BP decoders and achieves similar BLER performance, but lower complexity compared with the state-of-the-art Soft List decoder.

关键词： 5G iterative detection and decoding MIMO-detection soft-input soft-output successive cancellation list (SCL) decoding

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Robust Multiuser Binary CPM detection with Unkown modulation index 23

Robust Multiuser Binary CPM Detection with Unkown modulation...

引用

23rd European Signal Processing Conference (EUSIPCO)

作者： Messai, Malek Guilloud, Frederic Amis, Karine Colavolpe, Giulio Telecom Bretagne Inst Telecom Signal & Commun Dept CNRSLab STICCUMR 6285 F-29200 Brest France Univ Parma Dipartitnento Ingn Informaz I-43124 Parma Italy

ISBN: (纸本)9780992862633

We develop a robust multiuser detector for a Frequency Division Multiplexing (FDM) system where each user employs a binary continuous phase modulation (CPM) generated through a low-cost transmitter, thus characterized by a significant modulation index uncertainty, and sent over a channel affected by phase noise. In this FDM system the spectral efficiency can be increased by reducing the spacing between two adjacent channels. The proposed receiver is designed by adopting a simplified representation of a binary CPM signal with the principal component of its Laurent decomposition and is obtained by using the framework based on factor graphs and the sum-product algorithm. This detector can be used for iterative detection/decoding of a coded scheme in which each user employs a binary CPM modulator serially concatenated with an outer encoder through a pseudo-random interleaver. It does not require an explicit estimation of the modulation index nor of the channel phase and is very robust to large uncertainties of the nominal value of the modulation index.

关键词： Continuous phase modulation CPM-FDM frequency spacing spectral efficiency modulation index mismatch phase noise factor graph sum product iterative detection and decoding

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List-Based Detector and Access Points Selection in Cell-Free Massive MIMO Using LDPC Codes

List-Based Detector and Access Points Selection in Cell-Free...

引用

International Symposium on Wireless Communication Systems (ISWCS)

作者： Ssettumba, Tonny Di Renna, Roberto B. Landau, Lukas T. N. de Lamare, Rodrigo C. Pontifical Catholic Univ Rio de Janeiro PUC Rio Ctr Telecommun Studies CETUC Rio De Janeiro Brazil

ISBN: (数字)9781665455442

ISBN: (纸本)9781665455442

This paper proposes a cell-free massive multiple-input multiple-output (CF-mMIMO) architecture with joint list-based detection with soft interference cancellation (soft-IC) and access points (APs) selection. In particular, we derive a new closed-form expression for the minimum mean-square error receive filter while taking the uplink transmit powers and APs selection into account. This is achieved by optimizing the receive combining vector by minimizing the mean square error between the detected symbol estimate and transmitted symbol, after canceling the multi-user interference (MUI). By using low-density parity check (LDPC) codes, an iterative detection and decoding (IDD) scheme based on a message passing is devised. In order to perform joint detection at the central processing unit (CPU), the access points locally estimate the channel and send their received sample data to the CPU via the front haul links. In order to enhance the system's bit error rate performance, the detected symbols are iteratively exchanged between the joint detector and the LDPC decoder in log likelihood ratio form. Furthermore, we draw insights into the derived detector as the number of IDD iterations increase. Finally, the proposed list detector is compared with existing detection techniques.

关键词： Cell-free systems multiple-antenna systems iterative detection and decoding minimum mean square error soft interference cancellation detector access point selection

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List Sphere decoding with a Probabilistic Radius Tightening

List Sphere Decoding with a Probabilistic Radius Tightening

引用

IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Lee, Jaeseok Shim, Byonghyo Kang, Insung Korea Univ Sch Informat & Commun Seoul 136713 South Korea Qualcomm Inc San Diego 5775 CA USA

ISBN: (纸本)9781424456383

In this paper, we present a low-complexity list sphere search algorithm for achieving near-optimal a posteriori probability (APP) detection in iterative detection and decoding (IDD). Motivated by the fact that the list sphere decoding searching a fixed number of lattice points is inefficient in many scenarios, we design a criterion to search lattice points with non-vanishing likelihood and derive the optimal sphere radius satisfying this requirement. Further, in order to exploit the sphere constraint as it is instead of using necessary conditioned versions, we incorporate a probabilistic tree pruning strategy into the list sphere search. Through simulations on realistic IDD systems, we show that the proposed method provides considerable complexity savings while maintaining near-optimal performance.

关键词： iterative decoding iterative detection and decoding list sphere decoding low-complexity list sphere search algorithm maximum likelihood detection near-optimal a posteriori probability detection nonvanishing likelihood probabilistic radius tightening proba

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A Sequential detection Approach for Approximate MAP detection in MIMO Systems

A Sequential Detection Approach for Approximate MAP Detectio...

引用

54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Choi, Jinho Swansea Univ Coll Engn Swansea W Glam Wales

ISBN: (纸本)9781424492688

Soft-decisions from a multiple input multiple output (MIMO) detector are desirable if iterative detection and decoding (IDD) is employed at receivers in MIMO systems. The minimum mean square error (MMSE)-soft cancellation (SC) detector has an excellent trade-off between performance and complexity. By noting that the MMSE-SC detector is an approximate maximum a posteriori probability (MAP) detector, another approximate MAP detector that uses sequential processing is proposed in this paper. The proposed sequential detector can provide a better performance than the MMSE-SC detector, while its complexity is comparable with that of the MMSE-SC detector. An interesting feature of the proposed sequential detector is that the trade-off between complexity and performance can be exploited by a single parameter, which could be an important control parameter in practical implementations.

关键词： soft decisions sequential detection M-algorithm MIMO iterative detection and decoding

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A 354 Mb/s 0.37 mm² 151 mW 32-User 256-QAM Near-MAP Soft-Input Soft-Output Massive MU-MIMO Data Detector in 28nm CMOS 45

A 354 Mb/s 0.37 mm<SUP>2</SUP> 151 mW 32-User 256-QAM Near-M...

引用

IEEE 45th European Solid State Circuits Conference (ESSCIRC)

作者： Jeon, Charles Castaneda, Oscar Studer, Christoph Cornell Univ Sch Elect & Comp Engn Ithaca NY 14853 USA

ISBN: (纸本)9781728115504

This letter presents a novel data detector application-specific integrated circuit (ASIC) for massive multiuser multiple-input multiple-output (MU-MIMO) wireless systems. The ASIC implements a modified version of the large-MIMO approximate message passing algorithm (LAMA), which achieves near-optimal error-rate performance (i) under realistic channel conditions and (ii) for systems with as many users as base-station (BS) antennas. The hardware architecture supports 32 users transmitting up to 256-QAM simultaneously and in the same frequency band, and provides soft-input soft-output capabilities for iterative detection and decoding. The fabricated 28nm CMOS ASIC occupies 0.37 mm(2) , achieves a throughput of 354 Mb/s, consumes 151 mW, and improves the SNR by more than 11 dB compared to existing data detectors in systems with 32 BS antennas and 32 users for realistic wireless channels. In addition, the ASIC achieves $4\boldsymbol \times $ higher throughput per area than a recently proposed message-passing detector.

关键词： Approximate message passing data detection iterative detection and decoding massive multiuser multiple-input multiple-output (MU-MIMO) wireless communications

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PARALLEL SFSD MIMO detection WITH SOFT-HARD COMBINATION ENUMERATION

PARALLEL SFSD MIMO DETECTION WITH SOFT-HARD COMBINATION ENUM...

引用

IEEE Workshop on Signal Processing Systems (SiPS)

作者： Yu, Jianpeng Ma, Jun Mao, Zhigang Shanghai Jiao Tong Univ Sch Microelect Shanghai 200240 Peoples R China

ISBN: (纸本)9781457719219

A novel soft-extension of fixed-complexity sphere decoding (FSD) algorithm is proposed, taking Soft FSD (SFSD)(1) algorithm as a starting point, which suffers from the multiple-tree-search problem, and the so called iteration problem, that is, its performance degrades as the number of the receiver iteration increases. The proposed parallel SFSD (PSFSD) performs a single tree search by taking partial best nodes to generate counter-hypotheses. To make use of priori information in tree search to overcome the iteration problem, soft-hard combination (SHC) enumeration method is presented as a low complexity algorithm to find the best child with prior term added. The proposed scheme is suitable for hardware implementations and can be easily extended to other tree search schemes.

关键词： Multiple input multiple output (MIMO) soft-input soft-output (SISO) detection FSD iterative detection and decoding

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A Component-level Soft Interference Cancellation Based iterative detection Algorithm for Coded MIMO Systems 80

A Component-level Soft Interference Cancellation Based Itera...

引用

80th IEEE Vehicular Technology Conference (VTC Fall)

作者： Xu, Jin Dai, Xiaoming Ma, Weiguo Wang, Yingmin Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100088 Peoples R China China Acad Telecommun Technol State Key Lab Wireless Mobile Commun Beijing Peoples R China

ISBN: (纸本)9781479944491

An iterative detection and decoding (IDD) scheme based on component-level soft cancellation (CLSC) and linear minimum mean-squared error (LMMSE) filtering for turbo coded multiple input multiple output (MIMO) multiplexing systems is proposed in this work. By exploiting the independence between the In-phase and Quadrature-phase branch, more accurate soft interference cancellation is realized. Extrinsic information transfer (EXIT) characteristics of the IDD system show that the proposed scheme exhibit faster convergence speed than the conventional one. Numerical results validate that the CLSC-LMMSE based detection algorithm achieves noticeable bit error rate (BER) performance over symbol-level soft cancelation (SLSC) based one, with only marginal complexity increase.

关键词： component-level soft interference cancellation multiple input multiple output soft feedback iterative detection and decoding

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A Mutual-Information Based Power Allocation Algorithm for Multi-Layer Rate Splitting Scheme in Tri-sectored Wireless Networks

A Mutual-Information Based Power Allocation Algorithm for Mu...

引用

IEEE Global Communications Conference (GLOBECOM)

作者： Zhou, Guangxia Xu, Wen Bauch, Gerhard Intel Mobile Commun D-85579 Neubiberg Germany

ISBN: (纸本)9781467309219;9781467309202

Cell-edge users inevitably suffer from strong interference from adjacent cells, and consequently their throughput will decrease. Recent investigations show that the Han-Kobayashi (HK) rate splitting scheme is the best known strategy to mitigate the interference for a two-user interference channel. However, its receiver is too complicated to implement in practical systems. This paper takes the multi-layer rate splitting (MLRS) scheme as an alternative and proposes a new mutual-information based power allocation algorithm for the MLRS scheme. Simulation results for the scenarios of two cell-edge users show that the proposed power allocation algorithm brings two advantages. First, it can reduce the complexity of receivers for the MLRS scheme. Second, it can achieve performance comparable to the simple HK scheme in a two-user fading interference channel and provide about 39% gains in terms of average throughput, compared with a fixed frequency reuse 2 scheme, in a realistic tri-sectored wireless network.

关键词： Interference mitigation mutual information rate splitting iterative detection and decoding IDMA LTE-A

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