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| Content Provider | IET Digital Library |
|---|---|
| Author | Feng, Qi Zhou, Haibo Zhao, Kanglian Zhang, Naitong |
| Abstract | Millimetre-wave propagation is a promising broadband transmission technology for future fifth generation mobile communication systems. For a vector orthogonal frequency division multiplexing system, the authors investigate the millimetre-wave propagation through a sparse multipath channel in a sense that it has a large time delay spread but with only a few non-zero taps. By exploiting the sparse nature of millimetre-wave channel, any sparse multipath channel can be characterised by the multipath delays and their corresponding channel coefficients. They first study an ideal case that the pilot signals are transmitted through a sparse channel without noise, and an exactly sparse inverse fast Fourier transform (SIFFT) algorithm is performed to estimate the non-zero channel taps with reduced complexity. Then, they consider a more practical scenario that the pilot signals through a sparse channel with noise interference, and an approximately SIFFT algorithm is employed to estimate the effective channel taps, while the remaining small coefficients interfered by noise can be wiped out. Through numerical analysis, they demonstrate that the proposed SIFFT algorithms can reduce the computational complexity while keeping the root mean squared error of channel estimation at a low level. |
| Starting Page | 1732 |
| Ending Page | 1740 |
| Page Count | 9 |
| ISSN | 17518628 |
| Volume Number | 11 |
| e-ISSN | 17518636 |
| Issue Number | Issue 11, Aug (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/11/11 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.1439 |
| Journal | IET Communications |
| Publisher Date | 2017-04-27 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 5G Mobile Communication Broadband Transmission Technology Channel Coefficient Channel Estimation Communication Channel Equalisation And Identification Fifth Generation Mobile Communication System Fourier Transforms Integral Transforms in Numerical Analysis Millimetre Wave Vector Orthogonal Frequency Division Multiplexing System Millimetre-wave Channel Mobile Radio System Modulation And Coding Method Noise Interference Non-zero Channel Taps Non-zero Taps Numerical Analysis OFDM Modulation Orthogonal Frequency Division Multiplexing System SIFFT Algorithm Sparse Inverse Fast Fourier Transform Sparse Inverse Fast Fourier Transform Algorithm Sparse Multipath Channel Wireless Channel |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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