Sparse Signal Processing Concepts for Efficient 5G System Design
Sparse Signal Processing Concepts for Efficient 5G System Design
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DOI：
10.1109/access.2015.2407194
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发表时间：
2014-11
期刊：
影响因子：
3.9
通讯作者：
G. Wunder;H. Boche;T. Strohmer;P. Jung
中科院分区：
文献类型：
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作者：
G. Wunder;H. Boche;T. Strohmer;P. Jung
随着越来越明显的是，4G将无法满足未来移动的通信系统的新兴需求，5G系统的组成，关键挑战是什么，以及关键驱动因素是什么，这些都是正在进行的深入讨论的一部分。部分由于压缩感知的出现，可以最佳地利用信号中的稀疏性的方法近年来受到了极大的关注。在本文中，我们将描述5G无线系统中自然出现信号稀疏的各种场景。因此，信号稀疏性以及相关的丰富工具和算法集合将成为5G无线系统设计创新的可行来源。我们还将描述这种稀疏信号处理范例在多输入多输出随机接入、云无线电接入网络、压缩信道源网络编码和嵌入式安全中的应用。我们还将强调5G系统设计中可能出现的一个重要的开放问题，稀疏性可能会在解决方案中发挥关键作用。
As it becomes increasingly apparent that 4G will not be able to meet the emerging demands of future mobile communication systems, the question what could make up a 5G system, what are the crucial challenges, and what are the key drivers is part of intensive, ongoing discussions. Partly due to the advent of compressive sensing, methods that can optimally exploit sparsity in signals have received tremendous attention in recent years. In this paper, we will describe a variety of scenarios in which signal sparsity arises naturally in 5G wireless systems. Signal sparsity and the associated rich collection of tools and algorithms will thus be a viable source for innovation in 5G wireless system design. We will also describe applications of this sparse signal processing paradigm in Multiple Input Multiple Output random access, cloud radio access networks, compressive channel-source network coding, and embedded security. We will also emphasize an important open problem that may arise in 5G system design, for which sparsity will potentially play a key role in their solution.