摘要翻译：
本文提出了一种适用于多载波通信系统的低复杂度比特和功率加载算法。该算法通过加权系数α，在满足每个子载波的目标误码率(BER)和总发射功率约束的前提下，实现了吞吐量最大化和发射功率最小化。当初始α使发射功率不违反功率约束时，用拉格朗日乘子法求解优化问题；否则，将使用二分搜索来查找适当的$\alpha$。导出了每个子载波的接近最佳比特和功率分配、平均吞吐量和平均发射功率的闭式表达式。仿真结果验证了该算法的性能，并证明了其相对于现有分配算法的优越性。结果表明，该算法的性能接近于离散最优分配的穷举搜索。
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英文标题：
《Joint Optimization of Bit and Power Loading for Multicarrier Systems》
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作者：
Ebrahim Bedeer, Octavia A. Dobre, Mohamed H. Ahmed, and Kareem E.
  Baddour
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最新提交年份：
2019
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分类信息：

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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英文摘要：
  In this letter, a novel low complexity bit and power loading algorithm is formulated for multicarrier communication systems. The proposed algorithm jointly maximizes the throughput and minimizes the transmit power through a weighting coefficient $\alpha$, while meeting constraints on the target bit error rate (BER) per subcarrier and on the total transmit power. The optimization problem is solved by the Lagrangian multiplier method if the initial $\alpha$ causes the transmit power not to violate the power constraint; otherwise, a bisection search is used to find the appropriate $\alpha$. Closed-form expressions are derived for the close-to-optimal bit and power allocations per subcarrier, average throughput, and average transmit power. Simulation results illustrate the performance of the proposed algorithm and demonstrate its superiority with respect to existing allocation algorithms. Furthermore, the results show that the performance of the proposed algorithm approaches that of the exhaustive search for the discrete optimal allocations.
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PDF链接：
https://arxiv.org/pdf/1801.07571