Massive MIMO: simulations to mitigate the pilot contamination
Date
2017
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Publisher
University of Delaware
Abstract
In future mobile data traffic, increasing of global exponential mobile data traffic, supporting more devices simultaneously and larger variety of traffic types are the main problems that wireless communication systems face. However, the MIMO technology cannot solve these problems well. Thus, the Massive MIMO technology, which deploy a large excess of antennas at BSs as compared to the number of terminal served, was proposed in 2010 by Thomas L. Marzetta. ☐ Massive MIMO is a multi-user MIMO technology where each BS is equipped with an array of M active antenna elements and utilizes these to communicate with K single-antenna terminals----over the same time and frequency band. ☐ The benefits of the Massive MIMO technology include increasing the capacity, improving the radiated energy-efficiency, reducing latency on the air interface and increasing the robustness both to unintended man-made interference and to intentional jamming, etc. Nevertheless, the Massive MIMO technology also faces some challenges and pilot contamination is one of them. ☐ In this thesis, firstly, I will introduce the background and significance of the Massive MIMO. Secondly, I will introduce the Massive MIMO system which will include the comparison between TDD mode and FDD mode, the introduction for the system model, the pilot-based channel estimation and the pilot contamination. ☐ Finally, I will review and simulate some methods to mitigate the pilot contamination like Bayes channel estimation and pilot scheduling.
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Applied sciences