You are in:Home/Publications/Mahmoud M. Badr, Mostafa M. Fouda, and Adly S. Tag Eldien, “A Novel Vision to Mitigate Pilot Contamination in Massive MIMO-based 5G Networks,” Proc. of the 2016 International Conference on Computer Engineering and Systems (ICCES 2016), Cairo, Egypt, December 20-21, 2016.

Dr. Mostafa Fouda :: Publications:

Title:
Mahmoud M. Badr, Mostafa M. Fouda, and Adly S. Tag Eldien, “A Novel Vision to Mitigate Pilot Contamination in Massive MIMO-based 5G Networks,” Proc. of the 2016 International Conference on Computer Engineering and Systems (ICCES 2016), Cairo, Egypt, December 20-21, 2016.
Authors: Mahmoud M. Badr, Mostafa M. Fouda, and Adly S. Tag Eldien
Year: 2016
Keywords: 5G Networks, Massive MIMO, Pilot Contamination
Journal: Proc. of the 2016 International Conference on Computer Engineering and Systems (ICCES 2016)
Volume: Not Available
Issue: Not Available
Pages: Not Available
Publisher: IEEE
Local/International: International
Paper Link:
Full paper Mostafa Fouda_2016.ICCES.pdf
Supplementary materials Not Available
Abstract:

Massive multiple-input multiple-output (MIMO) is one of the promising technologies to be used in the future fifth generation (5G) wireless networks for its capability to increase the system throughput, improve spectral efficiency and energy efficiency. To achieve these benefits of the massive MIMO, there are many challenges that need to be handled. One of these challenges is the pilot contamination problem that arises from reusing pilot sequences among the system cells. Since this problem is considered as a bottleneck of the system performance, it attracted many researchers who proposed schemes to solve it. In this paper, we propose a new scheme that mitigates its effect by adopting both asynchronous pilot transmission (APT) and fractional pilot reuse (FPR). We compare the performance of our proposed scheme with other schemes using computer simulations and show that our proposed scheme enhances the performance of the time division duplex (TDD) multi-cell massive MIMO systems in terms of the signal to interference and noise ratio (SINR) and capacity.

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