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Neural Network-Based adaptive Polar coding

IEEE TRANSACTIONS ON COMMUNICATIONS 2024年第4期72卷 1881-1894页

作者： Miloslavskaya, Vera Li, Yonghui Vucetic, Branka Univ Sydney Sch Elect & Comp Engn Sydney NSW 2006 Australia

In this paper, we propose a novel artificial intelligence (AI) based adaptive polar coding scheme that adapts to various channel conditions and quality of service requirements. To ensure tight adaptation, we develop a new AI-based performance prediction framework for the precoded polar codes under the successive cancellation list (SCL) decoder. This AI-based framework relies on a neural network and recent advancements in the analysis of precoded polar codes, SCL and SC decoders. Then we apply the proposed framework to optimise precoded polar codes for various target frame error rates (FER), signal-to-noise ratios (SNR) and decoding list sizes L , where the code length is fixed to a power of two, but the code rate may vary. We predict the throughput and maximise it over the code rates with bit-level granularity. The proposed approach paves the way towards online adaptive polar coding with high error-correction capability. The constructed codes can be compactly specified using the reliability sequence from the 5G New Radio standard and a single parameter whose value is specific to each code. The simulation results show that the proposed codes outperform 5G polar codes with CRC11 under SCL decoding with various L.

关键词： Polar codes dynamic frozen bits adaptive coding performance analysis neural network

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Improving Data Transmission Efficiency in UAV Networks Through adaptive coding

Improving Data Transmission Efficiency in UAV Networks Throu...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Majd M. Safadi Vladislav B. Amoursky Mathematical and Software of Computing Systems Complexes and Computer Networks Faculty of Information Science and Control Systems Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

In recent years, unmanned aerial vehicles (UAV) have become widely used in civil and military applications such as surveillance, data collection, and cargo delivery. With the increasing use of this technology, there is a need for improved communication systems to ensure reliable and efficient data transmission. UAV networks face unique challenges due to dynamic motion, environmental interference, and energy and bandwidth limitations. The objective of this study is to propose an adaptive coding scheme using Rate-Compatible Punctured coding (RCPC) technology, which assigns different coding rates to different data depending on their importance and channel conditions. The proposed scheme includes a mechanism to dynamically adjust the coding rates based on the change in link quality. This study demonstrates that adaptive coding can improve resource efficiency, reduce latency, and enhance communication reliability.

关键词： Surveillance Interference Autonomous aerial vehicles Encoding Reliability Data communication Time factors Vehicle dynamics adaptive coding Signal to noise ratio

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adaptive coding for Two-Way Lossy Source-Channel Communication

Adaptive Coding for Two-Way Lossy Source-Channel Communicati...

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IEEE International Symposium on Information Theory (ISIT)

作者： Weng, Jian-Jia Alajaji, Fady Linder, Tamas Queens Univ Dept Math & Stat Kingston ON K7L 3N6 Canada

ISBN: (数字)9781728164328

ISBN: (纸本)9781728164328

An adaptive joint source-channel coding (JSCC) scheme is presented for transmitting correlated sources over discrete-memoryless two-way channels subject to distortion constraints. The proposed JSCC scheme makes use of the previously transmitted and received channel signals as well as the sources' correlation to facilitate coordination between terminals. It is shown that the adaptive scheme strictly subsumes prior lossy coding methods for two-way simultaneous transmission and yields a new adaptive separate source-channel coding result. Two examples are given to show the scheme's advantages.

关键词： Network information theory two-way channels lossy transmission joint source-channel coding adaptive coding

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Receiver station in Budapest for Q/V band satellite site diversity and adaptive coding and modulation experiments with Alphasat

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS AND NETWORKING 2019年第3期37卷 149-162页

作者： Csurgai-Horvath, Laszlo Budapest Univ Technol & Econ Dept Broadband Infocommun & Electromagnet Theory Egry J U 18 H-1111 Budapest Hungary

The European Space Agency in cooperation with Inmarsat launched the Alphasat communication satellite in 2013, which hosts four technology demonstration payloads. One of them is the Aldo Paraboni payload composed of the Q/V band communication and Ka/Q band propagation experiments. The payload and the communication experiment are funded by the Italian Space Agency. Budapest University of Technology, Hungary in cooperation with Joanneum Research, Austria built a receiver station to conduct site diversity and adaptive coding and modulation experiments over the Q/V band satellite channel. The transmitter/receiver station in Austria and the receiver station in Hungary form a long-distance diversity system that is used to investigate the capabilities of the adaptive technique under various propagation conditions controlled by the local signal quality at the receiver site in Budapest. This paper provides a detailed overview of the diversity station in Budapest. The operation of the adaptive coding and modulation experiment is illustrated with measurements performed in 2017.

关键词： Alphasat Q V band communication experiment site diversity adaptive coding and modulation

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A New Technique for Lossless Compression of Color Images based on Hierarchical Prediction, Inversion and Context adaptive coding

A New Technique for Lossless Compression of Color Images bas...

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Data Compression Conference (DCC)

作者： Koc, Basar Arnavut, Ziya Sarkar, Dilip Kocak, Hilseyin Stetson Univ Deland FL 32723 USA SUNY Coll Fredonia Fredonia NY 14063 USA Univ Miami Coral Gables FL 33124 USA

ISBN: (纸本)9781728106571

This work introduces a new technique for lossless compression of color images. The technique is composed of first transforming an RGB image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced by Kim and Cho, Burrows-Wheeler Inversion Coder (BWIC) or JPEG 2000 is used to compress of the chrominance channels Cu and Cv. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes such as CALIC, JPEG 2000, LOCO-I, BPG(HEVC), and the previously proposed hierarchical prediction and context adaptive coding technique LCIC.

关键词： Image coding Transform coding Biomedical imaging Color adaptive coding Prediction algorithms

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adaptive coding in the human brain: Distinct object features are encoded by overlapping voxels in frontoparietal cortex

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CORTEX 2018年 108卷 25-34页

作者： Jackson, Jade B. Woolgar, Alexandra Kings Coll London Inst Psychiat Psychol & Neurosci Dept Neuroimaging Box 89De Crespigny Pk London SE5 8AF England Macquarie Univ Percept Act Res Ctr Sydney NSW Australia Macquarie Univ Dept Cognit Sci Sydney NSW Australia Macquarie Univ ARC Ctr Excellence Cognit & Its Disorders Sydney NSW Australia Univ Cambridge MRC Cognit & Brain Sci Unit Cambridge England

Our ability to flexibly switch between different tasks is a key component of cognitive control. Non-human primate (NHP) studies (e.g., Freedman, Riesenhuber, Poggio, & Miller, 2001) have shown that prefrontal neurons are re-used across tasks, re-configuring their responses to code currently relevant information. In a similar vein, in the human brain, the "multiple demand" (MD) system is suggested to exert control by adjusting its responses, selectively processing information in line with our current goals (Duncan, 2010). However, whether the same or different resources (underlying neural populations) in the human brain are recruited to solve different tasks remains elusive. In the present study, we aimed to bridge the gap between the NHP and human literature by examining human functional imaging data at an intermediate level of resolution: quantifying the extent to which single voxels contributed to multiple neural codes. Participants alternated between two tasks requiring the selection of feature information from two distinct sets of objects. We examined whether neural codes for the relevant stimulus features in the two different tasks depended on the same or different voxels. In line with the electrophysiological literature, MD voxels were more likely to contribute to multiple neural codes than we predicted based on permutation tests. Comparatively, in the visual system the neural codes depended on distinct sets of voxels. Our data emphasise the flexibility of the MD regions to re-configure their responses and adaptively code relevant information across different tasks. (C) 2018 The Authors. Published by Elsevier Ltd.

关键词： MVPA fMRI adaptive coding Voxel re-use

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adaptive coding for Information Freshness in a Two-User Broadcast Erasure Channel

Adaptive Coding for Information Freshness in a Two-User Broa...

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2019 IEEE Global Communications Conference (GLOBECOM)

作者： Songtao Feng Jing Yang School of Electrical Engineering and Computer Science The Pennsylvania State University University Park PA

ISBN: (数字)9781728109626

ISBN: (纸本)9781728109633

In this paper, we investigate the impact of coding on the Age of Information (AoI) in a two- user broadcast symbol erasure channel with feedback. We assume each update consists of K symbols and the source is able to broadcast one symbol in each time slot. Due to random channel noise, the intended symbol at each user will be erased according to an independent and identically distributed (i.i.d.) Bernoulli process. A user is able to successfully decode an update if it accumulates sufficient information and successfully decodes the K symbols of the update. Assuming perfect feedback information at the source right after the transmission of each symbol, our objective is to design an adaptive coding scheme to achieve small AoI at both users. We propose a novel coding scheme to judiciously combine symbols from different updates together, and analyze the AoI at both users. Compared with a baseline greedy scheme, the proposed adaptive coding scheme improves the AoI at the weak user by orders of magnitude without compromising the AoI at the strong user.

关键词： Encoding adaptive coding Switches Measurement Servers Optimization Energy harvesting

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Deficits in context-dependent adaptive coding in early psychosis and healthy individuals with schizotypal personality traits

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BRAIN 2018年第9期141卷 2806-2819页

作者： Kirschner, Matthias Haugg, Amelie Manoliu, Andrei Simon, Joe J. Huys, Quentin J. M. Seifritz, Erich Tobler, Philippe N. Kaiser, Stefan Univ Zurich Psychiat Hosp Dept Psychiat Psychotherapy & Psychosomat Lenggstr 31 CH-8032 Zurich Switzerland Ctr Psychosocial Med Dept Gen Internal Med & Psychosomat Heidelberg Germany Heinrich Heine Univ Dusseldorf Med Fac Dept Psychosomat Med & Psychotherapy Dusseldorf Germany Univ Zurich Inst Biomed Engn Translat Neuromodeling Unit CH-8032 Zurich Switzerland Swiss Fed Inst Technol CH-8032 Zurich Switzerland Univ Zurich Neurosci Ctr Zurich CH-8057 Zurich Switzerland Univ Zurich Zurich Ctr Integrat Human Physiol CH-8057 Zurich Switzerland Univ Zurich Dept Econ Lab Social & Neural Syst Res CH-8006 Zurich Switzerland Geneva Univ Hosp Dept Mental Hlth & Psychiat Div Adult Psychiat CH-1225 Chene Bourg Switzerland

adaptive coding of information is a fundamental principle of brain functioning. It allows for efficient representation over a large range of inputs and thereby alleviates the limited coding range of neurons. In the present study, we investigated for the first time potential alterations in context-dependent reward adaptation and its association with symptom dimensions in the schizophrenia spectrum. We studied 27 patients with first-episode psychosis, 26 individuals with schizotypal personality traits and 25 healthy controls. We used functional MRI in combination with a variant of the monetary incentive delay task and assessed adaptive reward coding in two reward conditions with different reward ranges. Compared to healthy controls, patients with first-episode psychosis and healthy individuals with schizotypal personality traits showed a deficit in increasing the blood oxygen level-dependent response slope in the right caudate for the low reward range compared to the high reward range. In other words, the two groups showed inefficient neural adaptation to the current reward context. In addition, we found impaired adaptive coding of reward in the caudate nucleus and putamen to be associated with total symptom severity across the schizophrenia spectrum. Symptom severity was more strongly associated with neural deficits in adaptive coding than with the neural coding of absolute reward outcomes. Deficits in adaptive coding were prominent across the schizophrenia spectrum and even detectable in unmedicated (healthy) individuals with schizotypal personality traits. Furthermore, the association between total symptom severity and impaired adaptive coding in the right caudate and putamen suggests a dimensional mechanism underlying imprecise neural adaptation. Our findings support the idea that impaired adaptive coding may be a general information-processing deficit explaining disturbances within the schizophrenia spectrum over and above a simple model of blunted absolute rewar

关键词： adaptive coding information-processing functional magnetic resonance imaging reward outcome schizophrenia spectrum

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SDN based in-band adaptive coding by distributed pseudonoise preamble detection in optical networks

SDN based in-band adaptive coding by distributed pseudonoise...

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Conference on Metro and Data Center Optical Networks and Short-Reach Links

作者： Yang, Mingwei Djordjevic, Ivan B. Univ Arizona Dept Elect & Comp Engn Tucson AZ 85721 USA

ISBN: (数字)9781510616066

ISBN: (纸本)9781510616066

In this paper, the challenges and problems for the in-band and off-band adaptive coding will be studied. To provide the agile and fast in-band adaptive coding, the information of the channel is inserted as the preamble into the each frame. Pseudorandom noise is utilized as the preamble and it is distributed and updated by the SDN controller to the transmitters and the receivers. Deploying the parallel preamble mapping distributed by the SDN controller is not only for the channel synchronization and the clock recovery but also for serving the in-band adaptive coding. The proposed scheme for the cross-layer design of the centralized SDN controller for the adaptive coding system is demonstrated and discussed. The proposed adaptive coding system is implemented and tested in the 100Gbps DP-QPSK fiber-optics transmission system. The performances of the system with different codes and adaptive scheme in the system are examined and plotted. Also, the time-domain analysis for the LDPCs changing is performed to demonstrate its operational features based on the different channel conditions signal-to-noise ratio (SNR). By deploying the pseudonoise preamble detection, the system enables the rapidly in-band adaptive coding service with low overhead and short guard time. The cross-layer SDN controlling scheme, for updating the mapping between preamble and codes, provides the agile and robust service in the fiber-optics network.

关键词： SDN preamble detection adaptive coding cross layer fiber-optics networks LDPC

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Estimating the number of users in TDMA networks based on redundancy of adaptive channel coding

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DIGITAL SIGNAL PROCESSING 2018年 75卷 1-12页

作者： Teimouri, Mehdi Ahmadiyan, Seyed Morteza Univ Tehran Fac New Sci & Technol Informat Theory & Coding Lab Tehran Iran

Blind identification of protocols in wireless communication networks is a critical subject in noncooperative context. In this paper, a novel method is proposed to estimate the number of active users (NoAU) in wireless time division multiple access (TDMA) networks based on the redundancy of adaptive channel coding. The proposed method, which is based on decision trees and machine learning, can also be used in adaptive coding systems to identify the number of distinct code rates employed by a single transmitter. Simulation results show that the proposed method can estimate the number of codes with accuracy around 99% in noiseless situation. Moreover, for noisy environments, reasonable accuracies compared to naive methods are obtained. (C) 2017 Elsevier Inc. All rights reserved.

关键词： adaptive coding Decision trees Machine learning Estimating number of active users Time division multiple access

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