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[电气工程与系统科学] 误码传播对协作系统误码性能的影响 具有最佳中继选择方案的通信 [推广有奖]

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mingdashike22 在职认证  发表于 2022-3-22 13:00:00 来自手机 |只看作者 |坛友微信交流群|倒序 |AI写论文

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摘要翻译:
本文研究了存在从角色到目的地的错误传播时,具有最佳中继选择方案的协作通信系统的误码性能。首先推导了在M个继电器中选择最佳继电器时的误差传播表达式。通过计算机仿真验证了推导出的端到端误码率表达式。结果表明,在错误传播情况下,最佳中继选择不像理想译码那样保证M+1分集阶数。另外,继电器的门限选择对系统的误码性能有重要影响。
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英文标题:
《Effect of the Error Propagation on the Error Performance of Cooperative
  Communications with the Best Relay Selection Schemes》
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作者:
Ezgi Sanli, Ferdi Kara, Hakan Kaya
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最新提交年份:
2018
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分类信息:

一级分类:Computer Science        计算机科学
二级分类:Information Theory        信息论
分类描述:Covers theoretical and experimental aspects of information theory and coding. Includes material in ACM Subject Class E.4 and intersects with H.1.1.
涵盖信息论和编码的理论和实验方面。包括ACM学科类E.4中的材料,并与H.1.1有交集。
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一级分类:Electrical Engineering and Systems Science        电气工程与系统科学
二级分类:Signal Processing        信号处理
分类描述:Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用,包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、(生物)医学、图像、视频和多模态自然和人为信号,包括通信信号和数据。感兴趣的主题包括:统计信号处理、谱估计和系统辨识;滤波器设计;自适应滤波/随机学习;(压缩)采样、传感和变换域方法,包括快速算法;用于机器学习的信号处理和用于信号处理应用的机器学习;网络与图形信号处理;信号处理中的凸和非凸优化方法;雷达、声纳和传感器阵列波束形成和测向;通信信号处理;低功耗、多核、片上系统信号处理;信息物理系统的传感、通信、分析和优化,如电网和物联网。
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一级分类:Mathematics        数学
二级分类:Information Theory        信息论
分类描述:math.IT is an alias for cs.IT. Covers theoretical and experimental aspects of information theory and coding.
它是cs.it的别名。涵盖信息论和编码的理论和实验方面。
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英文摘要:
  In this paper, error performance of the cooperative communication systems with the best relay selection scheme is investigated in the presence of error propagation from role to destination. The error propagation expression is derived firstly when the best relay is selected within M relays. The derived end-to-end BER expression is verified with the computer simulations. It is shown that the best relay selection does not ensure M+1 diversity order under the error propagation unlike perfect decoding. In addition, the threshold selection for the relays has dominant effect on the error performance of the system.
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PDF链接:
https://arxiv.org/pdf/1807.04578
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关键词:Applications Experimental Optimization information performance 译码 Error 继电器 方案 保证

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