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

共 32 条记录，以下是11-20 订阅

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Tree Search Based Configurable joint detection and decoding Algorithms for MIMO Systems

Tree Search Based Configurable Joint Detection and Decoding ...

引用

International Conference on Computing, Networking and Communications (ICNC)

作者： Huang, Chien-Hao Yu, Chia-Po Shen, Chung-An Natl Taiwan Univ Sci & Technol Dept Elect & Comp Engn Taipei Taiwan

ISBN: (纸本)9781467385794

It has been shown that the Configurable joint detection-decoding (CJDD) algorithms in MIMO systems can effectively reduce the complexity and improve the signal quality. Since the CJDD approach is based on the tree search algorithms and there exists various kinds of such methods with different characteristics, it is of great importance to explore the trade-offs between each algorithm and their impacts on different aspects of system performances. In this paper, we study the CJDD algorithm based on three types of tree search approaches: breadth-first search, depth-first search, and the Fano algorithm. We explicitly elucidate the advantages and disadvantages of each algorithm on the basis of timing complexity, area complexity, and run-time variability. Our goal is to shed more lights on the design and application of tree search type approaches on the MIMO wireless communication systems for different system design considerations.

关键词： MIMO joint detection and decoding tree search algorithm

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A High Performance joint detection and decoding scheme for LDPC coded SCMA system

A High Performance Joint Detection and Decoding scheme for L...

引用

IEEE-Communications-Society Global Communications Conference on Trusted Communications with Physical Layer Security (IEEE GLOBECOM)

作者： Han, Kaining Zhang, Zhenbing Hu, Jianhao Chen, Jienan Univ Elect Sci & Technol China Natl Key Lab Commun Chengdu Sichuan Peoples R China

ISBN: (纸本)9781509024827

Sparse Code Multiple Access (SCMA) is a promising candidate multiple access technology for the fifth generation (5G) mobile communication system. In this paper, we propose a factor graph based high performance joint detection and decoding scheme (JDD) for the Low Density Parity Check code (LDPC) coded SCMA system. Also, we propose a message damping aided reduced complexity JDD scheme (RC-JDD) to achieve a lower complexity. According to the simulation results, the proposed JDD scheme has 2.6dB Bit Error Rate (BER) performance gain compared with the traditional methods and approximates to the single user detection performance bound with only 0.5dB loss. The RC-JDD scheme has only 10% complexity of JDD scheme with only 0.5dB loss. Thus the proposed RC-JDD scheme can be a good candidate for 5G system.

关键词： joint detection and decoding Sparse Code Multiple Access Low Density Parity Check Code 5G

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Dynamic-list joint detection and decoding of LDPC-coded V-BLAST systems

Dynamic-list joint detection and decoding of LDPC-coded V-BL...

引用

Canadian Conference on Electrical and Computer Engineering

作者： Tsai, Meng-Ying (Brady) Yousefi, Shahram Queens Univ SDAL Dept Elec & Comp Eng Kingston ON K7L 3N6 Canada

ISBN: (纸本)9781424416424

Soft iterative detection and decoding techniques have been shown to be able to achieve near-capacity performance in multiple antenna systems. To obtain the optimal soft information by marginalizing over the entire observation space is intractable;and it is not clear what the best way to obtain the suboptimal soft information is. In this talk, an improved scheme is proposed which can be adapted to various list-type detectors and provide superior performance.

关键词： Bell Labs Layered Space-Time (BLAST) low-density parity check (LDPC) codes soft-in/soft-out detectors sphere decoder iterative decoding joint detection and decoding

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joint detection and decoding Schemes for Turbo coded SCMA systems

Joint detection and decoding Schemes for Turbo coded SCMA sy...

引用

IEEE Globecom Workshops

作者： Zhenbing Zhang Kaining Han Jianhao Hu Jienan Chen Nat. key Lab. Of Commun. Univ. of Electron. Sci. & Technol. of China Chengdu China

ISBN: (纸本)9781509024834

Sparse code multiple access (SCMA) is a research hotspot in recent years. In this paper, we proposed a joint SCMA detection and Turbo decoding (JDD) scheme for the SCMA system. The proposed method integrates the message passing between SCMA detector and turbo decoder into the factor graph of the SCMA detector to construct a joint factor graph. Simulation results show the JDD scheme has 1.6 dB performance gain compared to the iterative detection and decoding (IDD) scheme. Moreover, it has only 0.2 dB performance loss compared to the single user QPSK system. To further reduce the computational complexity of the JDD scheme, we implement the JDD scheme in the logarithm domain (LOG-JDD) with the same performance compared with the IDD scheme. A technology that can improve the convergence is used to improve the bit error rate (BER) performance. Simulation results show that a suitable damping factor can obtain about ldB performance gain compared with the IDD scheme.

关键词： Sparse code multiple access joint detection and decoding high performance low computational complexity

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Low-Complexity Layered joint detection and decoding for LDPC Coded Large-MIMO Systems

Low-Complexity Layered Joint Detection and Decoding for LDPC...

引用

International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhao, Xiaomu Li, Yabo Zhong, Jie Zhao, Minjian Zheng, Chen Zhejiang Univ Dept Informat Sci & Elect Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)9781479903085

High performance and low complexity detectors are of great importance for MEMO systems, especially large MEMO systems, where there could be tens or hundreds of antennas. In this paper, we propose a layered factor graph based joint detection and decoding algorithm for LDPC coded large MIMO system. The joint factor graph which combines both detection and decoding is adopted, and Gaussian approximation is used to reduce the complexity. In the proposed algorithm, different from existing algorithms, in one iteration, the information of the variable nodes is updated one by one, instead of being updated as a whole. It is shown that the proposed algorithm can achieve better performance than the well-known MMSE based algorithm, but with much lower complexity. To reduce the complexity further, the half layered factor graph based algorithm and QRD pre-processing based algorithm are also proposed.(1)

关键词： Factor graph joint detection and decoding large MIMO layered detection LDPC code message passing

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A High Performance joint detection and decoding scheme for LDPC coded SCMA system

A High Performance Joint Detection and Decoding scheme for L...

引用

IEEE Globecom Workshops

作者： Kaining Han Zhenbing Zhang Jianhao Hu Jienan Chen Nat. key Lab. of Commun. Univ. of Electron. Sci. & Technol. of China Chengdu China

ISBN: (纸本)9781509024834

关键词： joint detection and decoding Sparse Code Multiple Access Low Density Parity Check Code 5G

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Tree Search Based Configurable joint detection and decoding Algorithms for MIMO Systems

Tree Search Based Configurable Joint Detection and Decoding ...

引用

International Conference on Computing, Networking and Communications

作者： Chien-Hao Huang Chia-Po Yu Chung-An Shen Department of Electronic and Computer Engineering National Taiwan University of Science and Technology

ISBN: (纸本)9781467385800

关键词： MIMO joint detection and decoding Tree search algorithm

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A Low Complexity joint Iterative Multi-User detection decoding Receiver Based on Verified Message

A Low Complexity Joint Iterative Multi-User Detection Decodi...

引用

IEEE/CIC International Conference on Communications in China (ICCC)

作者： Miao, Jiansong Hu, Xuejia Li, Weijie Li, Hairui Beijing Univ Posts & Telecommun Beijing Lab Adv Informat Networks Beijing Peoples R China

ISBN: (纸本)9781728173276

The sparse code multiple access technology and polar code technology can meet the functional requirements of the three major scenarios of 5G. A SCMA system receiver can combine a multi-user detector with a polar code decoder, but it requires high computational complexity to obtain the ideal bit error rate (BER) performance. This paper proposes a joint iterative detection and decoding receiver (VJDD) scheme for transmitting verified messages based on a serial structure. This solution improves the iterative convergence speed of the receiver by transmitting verified messages to each node in the factor graph in time. Simulation results show that the VJDD scheme can reduce the computational complexity of the receiver on the premise of ensuring the performance of the receiver.

关键词： sparse code multiple access multi-user detection polar code joint detection and decoding

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A List detection and decoding Algorithm for Linear Block Coded MIMO System

A List Detection and Decoding Algorithm for Linear Block Cod...

引用

IEEE 74th Vehicular Technology Conference (VTC)

作者： Xin, Haiyang Peng, Yuexing Quan, Qingyi Wang, Wenbo Wu, Bin Beijing Univ Posts & Telecommun Minist Educ Key Lab Universal Wireless Commun Wireless Signal Proc & Network Lab Beijing 100088 Peoples R China Chinese Acad Sci Inst Microelect Beijing Peoples R China

ISBN: (纸本)9781424483273

joint processing algorithm of detection and decoding for linear block coded multiple-input multiple-output (MIMO) system is investigated in this paper. Iterative detection and decoding (IDD) algorithm, which is considered as the optimal approach for convolutional coded MIMO system, yet is not processing efficient enough for linear block coded MIMO system under given computational complexity. In this case, although list-type detection and list-type decoding are separately used to generate a list of candidates (hard information), only the associated soft information is calculated and passed. Motivated by the joint ML principle and list-type process, we propose a much simpler and more efficient method, named list detection and decoding (LDD) algorithm. LDD exploits the common nature of list-type process in IDD to generate a list of candidates (hard information) for decoding-and-decision instead of iterative processing in IDD. We show that LDD can achieve near-optimal performance while enabling a performance-complexity tradeoff with different list size. Furthermore, the fixed complexity is suitable for hardware implementation. Simulation results show that LDD outperforms IDD while having a lower decoding complexity.

关键词： Multiple-input multiple-output (MIMO) linear block codes list-type process joint detection and decoding

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Layered Graph-Merged detection and decoding of Non-Binary LDPC Coded Massive MIMO Systems 51

Layered Graph-Merged Detection and Decoding of Non-Binary LD...

引用

51st IEEE Asilomar Conference on Signals Systems and Computers

作者： Jing, Shusen Yang, Junmei Zhou, Huayi Ueng, Yeong-Luh You, Xiaohu Zhang, Chuan Southeast Univ Lab Efficient Architectures Digital Commun & Sign Nanjing Jiangsu Peoples R China Southeast Univ Nat Mobile Commun Res Lab Nanjing Jiangsu Peoples R China Natl Tsing Hua Univ Dept Elect Engn Hsinchu Taiwan

ISBN: (纸本)9781538618233

In order to improve the spectral efficiency and reliability of communication systems, both the multiple-input multiple-output (MIMO) technique and non-binary low-density parity-check (NB-LDPC) codes are considered as powerful tools to meet the requirements. In order to further optimize the MIMO NB-LDPC systems and adapt to massive MIMO scenarios, a new joint detection and decoding (JDD) method of massive MIMO with NB-LDPC codes, called layered graph-merged detection and decoding (GMDD), is proposed. In this paper, factor graphs associated to symbol-based belief propagation (BP) MIMO detection and NB-LDPC decoding are merged into a single graph. For massive MIMO condition, a MIMO detection graph is attached to several NB-LDPC decoding graphs, which makes the methods unique to existed ones. Compared with separated detection and decoding (SDD), for BER less than 5 x 10(-2) the proposed method can achieve nearly 7 dB gain with same or even fewer iterations. Corresponding hardware architecture and complexity analysis are also given in this paper.

关键词： Massive MIMO detection NB-LDPC codes belief propagation joint detection and decoding factor graph

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