Open Access
| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00191 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900191 | |
| Published online | 05 December 2017 | |
- L. Dai, B. Wang, Y. Yuan, S. Han, Z. Wang. Nonorthogonal multiple access for 5G: Solutions, challenges, opportunities, and future research trends, IEEE Commun. Mag. , 53, (2015), 74–81. [Google Scholar]
- Z. Ding, L. Dai, H.V. Poor. MIMO-NOMA design for small packet transmission in the Internet of Things, IEEE Access, 4, (2016), 1393–1405. [Google Scholar]
- A.T. Abebe, C.G. Kang. Iterative order recursive least square estimation for exploiting frame-wise sparsity in compressive sensingbased MTC, IEEE Commun. Lett. , 20, (2016), 1018–1021. [Google Scholar]
- E.J. Candes , T. Tao. Near optimal signal recovery from random projections:Universal encoding strategies, IEEE Transactions on information theory, 52, (2006), 5406–5425. [CrossRef] [Google Scholar]
- L. Gan. Block compressed sensing of natural images, Proceedings of 15th International Conference on Digital Signal Processing, (2007), 403–406. [Google Scholar]
- B. Wang, L. Dai, T. Mir, et al, Dynamic compressive sensing based multi-user detection for uplink grant-free NOMA, IEEE Communications Letters, 20, (2016), 2320–2323. [CrossRef] [Google Scholar]
- B. Shim, B. Song, Multiuser detection via compressive sensing, IEEE Commun. Lett. , 16, (2012), 972–974. [CrossRef] [Google Scholar]
- J.P. Hong, W. Choi, B.D. Rao. Sparsity controlled random multiple access with compressed sensing, IEEE Trans. Wireless Commun. , 14, (2015), 998–1010. [CrossRef] [Google Scholar]
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