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Compressive Sensing for Wireless Networks by Zhu Han, Wotao Yin, Husheng Li

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Compressive sensing framework

Despite the relatively short history of CS theory pioneered by the work by Candès, Romberg, and Tao [6769] and Donoho [70], the numbers of studies and publications in this area have become amazingly large. On the other hand, the applications of CS are just beginning to appear. The inborn nature that many signals can be represented by sparse vectors has been recognized in many areas of applications. Examples in wireless communication include the sparse channel impulse response in the time domain, the sparse unitization of the spectrum, and the time and spatial sparsity in the wireless sensor networks. For each of these sparse signals, there are innovative signal acquisition schemes that not only satisfy the requirements ...

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