Research Equipment for Intelligent Signal Processing on Millimeter Wave MIMO Communication in 5G Networks

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Motivated by the increasing demands for better services in the fifth-generation (5G) wireless networks such as higher transmission rate, link reliability, ubiquitous access to internet etc, the multi-input multi-output (MIMO) system operating at millimeter wave frequencies (30GHz-300GHz) has recently received a great deal of attention. However, MIMO (especially when the number of antennas increases) has been constrained by the need of extensive channel state information for all links and transmitting pilot signals in the uplink for channel estimation becomes a resource-consuming and challenging task. Moreover, the sparse channel under millimeter wave frequencies presents a unique concern in the field of signal processing and communication. As such, it is imperative to develop intelligent signal processing techniques for millimeter wave enabled MIMO or massive MIMO systems to be applied in upcoming 5G networks. My current Discover project is focused on the development of robust and energy efficient signal processing techniques for multi-user massive MIMO systems. The main objective of this research is to maximize the transmission reliability, spectral usage and energy efficiency of massive MIMO networks under realistic channel conditions. However, the algorithms developed under the Discovery project are largely academic due to the lack of real channel measurements and real-time testbed. Also, the non-linear power amplifiers, practical antennas, and distortions introduced by the feed lines could not be accurately modeled.