Mário Marques da Silva
Universidade Autónoma de Lisboa, Portugal
Title: An Efficient Channel Estimation for Massive MIMO applied to 5G Systems
Biography
Biography: Mário Marques da Silva
Abstract
Massive MIMO schemes involving several tens or even hundreds of antenna elements are expected to be central technologies for 5G systems. This can lead array power gain increments proportional to the number of antennas. Pilots can be employed for the purpose of performing channel estimation. Nevertheless, pilot contamination may occur in multi-user scenarios, namely due to co-channel interference, which may compromise estimation, even when orthogonal sequences such as Chu sequences are employed. It is shown that a decision directed scheme based on an iterative block frequency domain equalizer can be used to compensate the pilot contamination impact on channel estimation without sacrificing the complexity. Moreover, when the coherence time spans multiple data blocks, these most accurate channel estimates can be used to precod the subsequent blocks and thereby improve system performance. It is also presented a set of performance results that sustain our assumption.