| Title: | Ashraf A. Eltholth, Maha Gaber, Mostafa M. Fouda, and Hala A.K. Mansour, “Convolutional Constellation Mapping Technique for PAPR Reduction in Filter Bank Multi-Carrier”, Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017), Kuching, Malaysia, September 12-14, 2017. |
| Authors: | Ashraf A. Eltholth, Maha Gaber, Mostafa M. Fouda, and Hala A.K. Mansour |
| Year: | 2017 |
| Keywords: | Not Available |
| Journal: | Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications (IEEE ICSIPA 2017), Kuching, Malaysia |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | IEEE |
| Local/International: | International |
| Paper Link: | |
| Full paper | Mostafa Fouda_paper.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Filter Bank Multi-Carrier (FBMC), has been proposed to solve the problems of spectral efficiency and adjacent channel leakage power in OFDM. This solution has added implications for the Peak-to-Average Power Ratio (PAPR) problem. This paper aims to reduce PAPR in FBMC through convolutional constellation mapping. The idea is to give a different constellation point to the symbol if successive values of the same symbol occur in the state space, thus reducing the chances of coherent addition of subcarriers without increasing the constellation points or even the need for iterative mapping. Computer-based simulations show the superior performance of the proposed Convolutional Constellation Mapping (CCM) in reducing the PAPR of FBMC. |
