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14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017

作者： Nguyen, Minh-Quang Nguyen, Hang Renault, Eric Ji, Yusheng SAMOVAR Télécom SudParis CNRS Université Paris-Saclay 9 rue Charles Fourier Evry Cedex91011 France National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781509061969

Hybrid analog digital (HDA) architectures have been widely used in communication systems for analog source over discrete-time memoryless Gaussian channels. They employ a linear coding scheme in the analog parts, while considering separately the design of source and channel codes in the digital parts. To the best of our knowledge, none of the previous HDA schemes exploit the advantages of maintaining a joint source and channel coding design in the digital segment. In this paper, we investigate the effect of the analog parts on various outputs of the digital modules in a HDA communication system, and introduce a novel HDA architecture with adaptation for the digital parts. Such adaptation allows our system to exploit the joint effect of the analog components and the channel noise on outputs of the digital components, while simultaneously taking into consideration the unequal distribution of source code outputs. Our simulations illustrate that the proposed HDA system provides robust and graceful performance (on both bandwidth compression and expansion modes) for a wide range of channel conditions. © 2017 IEEE.

关键词： channel coding

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Joint Source channel coding for Hyperspectral Imagery 14

Joint Source Channel Coding for Hyperspectral Imagery

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14th IEEE India Council International Conference, INDICON 2017

作者： Mamatha, A.S. Sagar, K. Sumanth, J. Thejus, J.P. Tharun Varun, R. Singh, Vipula Dept of ECE R.N.S.I.T Bangalore Karnataka India

ISBN: (纸本)9781538643181

On-board compression of hyperspectral imagery plays a vital role in the arena of remote sensing applications. This paper proposes a methodology to concatenate source coding with channel coding referred to as Joint Source channel coding (JSCC) for hyperspectral images. The leverage of JSCC is that firstly the three on-board constraints namely memory, power and bandwidth are tackled with source coding. Secondly channel coding mitigates the adverse effects of channel during the course of transmission of the downlinked image, thus maintaining the quality of the reconstructed image at the decoding side. Source coding exploits spatial and spectral decorrelation utilizing Intraband and Interband predictive coders. Serial Concatenated coders using Low Density Parity Check / Reed-Solomon (LDPC/RS) coder along with Convolutional coder are suggested for channel coding. The proposed algorithm is simulated for Additive White Gaussian Noise (AWGN), Binary Symmetric channel (BSC) and Rician channels. The methodology outcomes with an average BER of around 10-5 for different channel parameters, with an acceptable trade-off between complexity and performance. © 2017 IEEE.

关键词： channel coding

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Parametric joint channel coding of immersive audio 142

Parametric joint channel coding of immersive audio

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142nd Audio Engineering Society International Convention 2017, AES 2017

作者： Lehtonen, Heidi-Maria Purnhagen, Heiko Villemoes, Lars Klejsa, Janusz Gorlow, Stanislaw Dolby Sweden AB Gävlegatan 12 A Stockholm11330 Sweden

This paper presents a parametric joint channel coding scheme that enables the delivery of channel-based immersive audio content in formats such as 7.1.4, 5.1.4, or 5.1.2 at very low bit rates. It is based on a generalized approach for parametric spatial coding of groups of two, three, or more channels using a single downmix channel together with a compact parametrization that guarantees full covariance re-instatement in the decoder. By arranging the full-band channels of the immersive content into five groups, the content can be conveyed as a 5.1 downmix together with the parameters for each group. This coding scheme is implemented in the A-JCC tool of the AC-4 system recently standardized by ETSI, and listening test results illustrate its performance.

关键词： channel coding

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WAVEFORMS AND channel coding FOR 5G

WAVEFORMS AND CHANNEL CODING FOR 5G

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作者： Heshani Niyagama Gamage University of Oulu

学位级别：硕士

The fifth generation (5G) communication systems are required to perform sig- nificantly better than the existing fourth generation (4G) systems in data rate, capacity, coverage, latency, energy consumption and cost. Hence, 5G needs to achieve considerable enhancements in the areas of bandwidth, spectral, energy, and signaling efficiencies and cost per bit. The new radio access technology (RAT) of 5G physical layer needs to utilize an efficient waveform to meet the demands of 5G. Orthogonal frequency division multiplexing (OFDM) is considered as a baseline for up to 30 GHz. However, a major drawback of OFDM systems is their large peak to average power ratio (PAPR). Here in this thesis, a simple selective-mapping (SLM) technique using scrambling is proposed to reduce the PAPR of OFDM signals. This technique selects symbol sequences with high PAPR and scrambles them until a PAPR sequence below a specific threshold is gener- ated. The computational complexity of the proposed scheme is considerably lower than that of the traditional SLM. Also, performance of the system is investigated through simulations and more than 4.5 dB PAPR reduction is achieved. In addition, performance of single carrier waveforms is analyzed in multiple- input multiple-output (MIMO) systems as an alternative to OFDM. Performance of a single carrier massive MIMO system is presented for both uplink and down- link with single user and multiple user cases and the effect of pre-coding on the PAPR is studied. A variety of channel configurations were investigated such as correlated channels, practical channels and the channels with errors in channel estimate. Furthermore, the candidate coding schemes are investigated for the new RAT in the 5G standard corresponding the activities in the third generation partnership project (3GPP). The schemes are evaluated in terms of block error rate (BLER), bit error rate (BER), computational complexity, and flexibility. These parameters comprise a suitable set to ass

关键词： 5G RAT OFDM channel coding Polar LDPC Turbo eMBB

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Systematic Polar Codes for Joint Source-channel coding in Wireless Sensor Networks and the Internet of Things

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Procedia Computer Science 2017年 110卷 266-273页

作者： Charles Yaacoub Malak Sarkis Department of Telecommunications Faculty of Engineering Holy Spirit University of Kalsik (USEK) P.O.Box 446 Jounieh Lebanon

The Internet of Things (IoT) is becoming an increasingly growing topic of interest in the research community. Its requirements meet those of the next generation 5G mobile communication system which is expected to be an enabling technology for IoT, where networks of large numbers of sensors require massive connectivity demands. As polar codes have strongly entered into action within the standardization of 5G, this paper proposes and investigates the use of systematic polar codes for joint-source channel coding of correlated sources thus allowing, on one hand, the compression of the volume of data to be transmitted over the network, and on the other hand, the protection of this data from channel impairments. Results show that systematic polar codes can achieve a distributed compression with rates close to the theoretical bound, with better error rates obtained for larger blocks. However, stronger compression and shorter block lengths allow for a better robustness against transmission errors.

关键词： channel coding compression distributed source coding entropy internet of things systematic polar codes wireless sensor networks

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Improved channel coding for Next-Generation RFID

IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION

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IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION 2017年第1期1卷 68-74页

作者： Durgin, Gregory D. Degnan, Brian P. Georgia Inst Technol Sch Elect & Comp Engn Atlanta GA 30332 USA

The selection of channel codes for backscatter RFID tag-to-reader communications has always been preoccupied with minimal cost, low chip complexity, low power consumption, and the poor sensitivities of early-2000s RFID readers. For example, the ISO 18000-6C standard for UHF RFID tags employs FM0 modulation-an extraordinarily simple scheme that does not maximize throughput. We demonstrate how higher-rate channel codes can be applied to the RFID backscatter link without incurring significant penalties in cost, complexity, power consumption, or read ranges for today's readers. For example, a simple 6/8 balanced block code is shown to increase the throughput in a typical UHF channel by at least 50% with a simple electronic implementation that increases RFID chip device count by less than 1%.

关键词： Throughput Modulation RFID tags Backscatter Block codes Radiofrequency identification channel coding RFID channel coding modulation

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FPGA-Based channel coding Architectures for 5G Wireless Using High-Level Synthesis

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INTERNATIONAL JOURNAL OF RECONFIGURABLE COMPUTING 2017年第1期2017卷 3689308.1-3689308.23页

作者： Mhaske, Swapnil Kee, Hojin Ly, Tai Aziz, Ahsan Spasojevic, Predrag Rutgers State Univ Wireless Informat Networking Lab New Brunswick NJ 08902 USA Natl Instruments Corp Austin TX 78759 USA

We propose strategies to achieve a high-throughput FPGA architecture for quasi-cyclic low-density parity-check codes based on circulant-1 identity matrix construction. By splitting the node processing operation in the min-sum approximation algorithm, we achieve pipelining in the layered decoding schedule without utilizing additional hardware resources. High-level synthesis compilation is used to design and develop the architecture on the FPGA hardware platform. To validate this architecture, an IEEE 802.11n compliant 608Mb/s decoder is implemented on the Xilinx Kintex-7 FPGA using the LabVIEW FPGA Compiler in the LabVIEW Communication System Design Suite. Architecture scalability was leveraged to accomplish a 2.48 Gb/s decoder on a single Xilinx Kintex-7 FPGA. Further, we present rapidly prototyped experimentation of an IEEE 802.16 compliant hybrid automatic repeat request system based on the efficient decoder architecture developed. In spite of the mixed nature of data processing-digital signal processing and finite-state machines-LabVIEWFPGA Compiler significantly reduced time to explore the system parameter space and to optimize in terms of error performance and resource utilization. A 4x improvement in the system throughput, relative to a CPU-based implementation, was achieved to measure the error-rate performance of the system over large, realistic data sets using accelerated, in-hardware simulation.

关键词： Pipeline processing high level synthesis decoders error performance parameter space methods Hardware simulation ARCHITECTURE Building construction Resource utilization Field programmable gate arrays Laboratory Virtual Instrumentation Engineering Workbenc hardware resource HARQ channel coding

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channel coding for ultra-reliable low-latency communication in 5G systems 84

Channel coding for ultra-reliable low-latency communication ...

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84th IEEE Vehicular Technology Conference (VTC-Fall)

作者： Sybis, Michal Wesolowski, Krzysztof Jayasinghe, Keeth Venkatasubramanian, Venkatkumar Vukadinovic, Vladimir Poznan Univ Tech Fac Elect & Telecommun Poznan Poland Nokia Bell Labs Murray Hill NJ USA

ISBN: (纸本)9781509017010

This paper investigates block error rate (BLER) performance and computational complexity of candidate channel coding schemes for ultra-reliable low latency communication (URLLC) in 5G. The considered candidates are the same as those identified in 3GPP: turbo, LDPC, polar, and convolutional codes. Details of code constructions and decoding algorithms are provided with computational complexity analysis. Code construction parameters, number of iterations, and list sizes are selected to provide a fair comparison among candidate coding schemes. Simulation results on BLER are shown for several code rates and small-to-moderate block sizes. The results reveal that polar and LDPC codes outperform turbo codes for short block sizes of 40 bits, while the opposite is true for medium block sizes of 200 bits. None of the schemes is a clear winner at all considered block sizes and coding rates. Other aspects like implementation complexity, latency, and flexibility will also be important when deciding the URLLC coding scheme.

关键词： channel coding LDPC turbo codes polar codes machine-to-machine communication URLLC 5G

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Adaptive channel coding Based on channel Condition in Cooperative Communication System

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WIRELESS PERSONAL COMMUNICATIONS 2016年第3期88卷 701-710页

作者： Lee, Eui-Hak Kim, Jae-Jeong Song, Hyoung-Kyu Sejong Univ uT Commun Res Inst 98 Gunja Dong Seoul 143747 South Korea

A multiple input multiple output (MIMO) system presents the disadvantage that the system has high cost if receiver size is limited. A cooperative communication system overcomes disadvantages of MIMO system. So, many cooperative communication transmission schemes have been studied. In this paper, the proposed scheme considers channel condition of source to destination and then decides on a usage for channel coding. The channel coding is used for transmission in badly conditioned channel to improve the performance. If channel condition is good, the channel coding is not used, whet increases the throughput. The channel condition is determined using the cyclic redundancy check code. The simulation results show that the proposed scheme has better trade-off between the performance and throughput than the conventional scheme.

关键词： Cooperative communication channel coding channel condition DF CRC

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Exponential Golomb and Rice Error Correction Codes for Generalized Near-Capacity Joint Source and channel coding

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IEEE ACCESS 2016年 4卷 7154-7175页

作者： Brejza, Matthew F. Wang, Tao Zhang, Wenbo Al-Khalili, David Maunder, Robert G. Al-Hashimi, Bashir M. Hanzo, Lajos Univ Southampton Dept Elect & Comp Sci Southampton SO17 1BJ Hants England

The recently proposed unary error correction (UEC) and Elias gamma error correction (EGEC) codes facilitate the near-capacity joint source and channel coding (JSCC) of symbol values selected from large alphabets at a low complexity. Despite their large alphabet, these codes were only designed for a limited range of symbol value probability distributions. In this paper, we generalize the family of UEC and EGEC codes to the class of rice and exponential Golomb error correction codes, which have a much wider applicability, including the symbols produced by the H.265 video codec, the letters of the English alphabet, and in fact any arbitrary monotonic unbounded source distributions. Furthermore, the practicality of the proposed codes is enhanced to allow a continuous stream of symbol values to be encoded and decoded using only fixed-length system components. We explore the parameter space to offer beneficial tradeoffs between error correction capability, decoding complexity, as well as transmission-energy, -duration, and -bandwidth over a wide range of operating conditions. In each case, we show that our codes offer significant performance improvements over the best of several state-of-the-art benchmarkers. In particular, our codes achieve the same error correction capability, as well as transmission energy, transmission duration, and transmission bandwidth as a variable length error-correction code benchmarker, while reducing the decoding complexity by an order of magnitude. In comparison with the best of the other JSCC and separate source and channel coding benchmarkers, our codes consistently offer E-b/N-0 gains of between 0.5 and 1.0 dB which only appear to be the modest, because the system operates close to capacity. These improvements are achieved for free, since they are not achieved at the cost of increasing transmission energy, transmission duration, transmission bandwidth, or decoding complexity.

关键词： Source coding channel coding error correction codes combined source-channel coding

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