Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Reference15 articles.
1. Series, M. (2015). IMT vision: Framework and overall objectives of the future development of IMT for 2020 and beyond. In Recommendation ITU-R M.2083-0.
2. Rong, R., Wang, J., Oh, S.-K., & Hong, S.-N. (2017). Sparse-aware minimum mean square error detector for MIMO systems. IEEE Communications Letters, 21(10), 2214–2217.
3. Ran, R., Park, G.-J., Hong, S.-N., Oh, S., & Wang, J. (2018). Generalized sparse-aware minimum mean square error detector for large MU-MIMO systems with higher-order QAM modulation schemes. In Proceedings of IEEE international conference on communication (ICC).
4. Choi, J. W., Shim, B., Ding, Y., Rao, B., & Kim, D. I. (2017). Compressed sensing for wireless communications: Useful tips and tricks. IEEE Communications Surveys & Tutorials, 19(3), 1527–1550.
5. Abebe, A. T., & Kang, C. G. (2016). Iterative order recursive least square estimation for exploiting frame-wise sparsity in compressive sensing-based MTC. IEEE Communications Letters, 20(5), 1018–1021.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献