Coprime Interpolation and Compressive Sensing for Future Heterogeneous Network Towards 5G | Zendy

Na Wu | Zendy; Qilian Liang | Zendy

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Coprime Interpolation and Compressive Sensing for Future Heterogeneous Network Towards 5G

Author(s) -

Na Wu,

Qilian Liang

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2763755

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

Because of enormous amount of images and videos to be transmitted in 5G, it is quite desirable to do aggressive downsampling in the transmission side. As a consequence, the co-prime-interpolated compressive sensing approach, which could recover the downsampled data in the receiver side, is proposed in this paper. The co-prime structure, interpolation, and compressive sensing are combined in order to improve the resolution of reconstructed images through compressive-sensing. The numerical analysis of root mean square error and peak signal-to-noise ratio is examined, respectively. This new approach is applied on the test image and real data. The results prove that our approach provides a potential solution for future heterogeneous network toward 5G.

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