| Title: | Mahmoud M. Badr, Mostafa M. Fouda, and Adly S. Tag Eldien, “A Spatiotemporal Scenario to Mitigate Pilot Contamination in 5G Massive MIMO Systems”, Proceedings of the 2017 International Conference on Computer Engineering and Systems (ICCES 2017), Cairo, Egypt, December 19-20, 2017. |
| Authors: | Mahmoud M. Badr, Mostafa M. Fouda, and Adly S. Tag Eldien |
| Year: | 2017 |
| Keywords: | Not Available |
| Journal: | Proceedings of the 2017 International Conference on Computer Engineering and Systems (ICCES 2017), Cairo, Egypt |
| 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: |
Massive multiple-input multiple-output (MIMO) or large-scale MIMO is the magical technology that can provide the required large system capacity in the future fifth generation (5G) cellular networks. Massive MIMO is characterized by a large number of base station (BS) antennas, which makes it less susceptible to noise and fast fading. Unfortunately, this large antennas number does not enable the massive MIMO to get rid of the inter-cell interference originated from the problem of pilot contamination. In this article, we propose a spatiotemporal scenario that can mitigate the pilot contamination effects by avoiding synchronous pilot transmission in the time domain and following a pilot allocation algorithm in the spatial domain. We show that our proposed scenario provides a reduced level of inter-cell interference, which eventually gives it the ability to enhance the minimum and the mean achievable capacities per terminal. |
