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| Content Provider | IET Digital Library |
|---|---|
| Author | Charrada, Anis Samet, Abdelaziz |
| Abstract | In this study, the estimation of fast-fading long term evolution (LTE) downlink channels in high-speed applications of LTE advanced is investigated by the authors. A robust channel estimation and interpolation algorithm is essential in order to adequately track the fast time-varying channel response. In this contribution, the multipath fast-fading channel is modelled as a discrete, tapped-delay and finite impulse response filter. Using support vector machine regression (SVR), they develop an extended algorithm to jointly estimate the complex-valued channel frequency response in time and frequency domains, in the presence of fading and non-linear noise from the transmission of known pilot symbols. Furthermore, the channel estimates at the known pilot symbols are interpolated to the unknown data symbols by using the non-linear SVR approach exploiting kernel features. This study integrates both channel estimation at pilot symbols and interpolation at data symbol into the complex SVR interpolation method. The bit error rate and mean square error performances of the authors’ fast-fading channel estimation scheme is demonstrated via simulation for LTE downlink with 64-QAM modulation and 500 km/h velocity under non-linearities. |
| Starting Page | 2435 |
| Ending Page | 2444 |
| Page Count | 10 |
| ISSN | 17518628 |
| Volume Number | 10 |
| e-ISSN | 17518636 |
| Issue Number | Issue 17, Nov (2016) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/10/17 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0132 |
| Journal | IET Communications |
| Publisher Date | 2016-11-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 64-QAM Modulation Bit Error Rate Channel Estimation Communication Channel Equalisation And Identification Communication Computing Complex SVR Interpolation Method Data Symbol Digital Signal Processing Discrete Filter Error Statistics Fast Time-varying Channel Response Fast-fading Long Term Evolution Downlink Channel Estimation Fast-fading LTE Downlink Channel Estimation Filtering Method in Signal Processing Filtering Theory Finite Impulse Response Filter FIR Filter Frequency Domain Interpolation Interpolation And Function Approximation Joint Complex-valued Channel Frequency Response Estimation Joint Interpolation Algorithm Kernel Feature Knowledge Engineering Technique Known Pilot Symbol Transmission Long Term Evolution Mean Square Error Method Mobile Radio Mobile Radio System Mobility Management Multipath Fast-fading Channel Modeling Network Management Nonlinear Noise Nonlinear SVR Approach Numerical Analysis Regression Analysis Statistics Support Vector Machine Support Vector Machine Regression Tapped-delay Filter Telecommunication Computing Time Domain Very High-mobility Environments |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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