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雷达卡
摘要翻译：
在回程受限的未来小蜂窝无线网络中，基站缓存是支持内容传输业务巨大增长的一种很有前途的方法。本文考虑利用空间缓存多样性（即在相邻的BSs上缓存流行内容文件的不同子集），可以大大提高缓存命中率，从而获得更好的系统整体性能。利用空间缓存分集的一个关键问题是缓存的内容可能不位于最近的基站，这意味着用户要访问这些内容，需要克服来自附近基站的强干扰；这显著地限制了空间缓存分集的增益。在本文中，我们考虑了一种频率复用和缓存的联合设计，使得空间缓存分集带来的缓存命中率提高的好处和频率复用带来的干扰协调的好处可以同时得到。我们得到了该方案的近似成功传输概率的闭式表征，并分析了关键操作参数对性能的影响。我们设计了一个低复杂度的算法来优化频率重用因子和cache存储分配。仿真结果表明，该方案比现有的缓存方案具有更高的成功传输概率。
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英文标题：
《Joint Frequency Reuse and Cache Optimization in Backhaul-Limited
Small-Cell Wireless Networks》
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作者：
Wei Han, An Liu, Wei Yu, Vincent K. N. Lau
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最新提交年份：
2018
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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：
Caching at base stations (BSs) is a promising approach for supporting the tremendous traffic growth of content delivery over future small-cell wireless networks with limited backhaul. This paper considers exploiting spatial caching diversity (i.e., caching different subsets of popular content files at neighboring BSs) that can greatly improve the cache hit probability, thereby leading to a better overall system performance. A key issue in exploiting spatial caching diversity is that the cached content may not be located at the nearest BS, which means that to access such content, a user needs to overcome strong interference from the nearby BSs; this significantly limits the gain of spatial caching diversity. In this paper, we consider a joint design of frequency reuse and caching, such that the benefit of an improved cache hit probability induced by spatial caching diversity and the benefit of interference coordination induced by frequency reuse can be achieved simultaneously. We obtain a closed-form characterization of the approximate successful transmission probability for the proposed scheme and analyze the impact of key operating parameters on the performance. We design a low-complexity algorithm to optimize the frequency reuse factor and the cache storage allocation. Simulations show that the proposed scheme achieves a higher successful transmission probability than existing caching schemes.
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PDF链接：
https://arxiv.org/pdf/1808.02824
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