ESPRIT-based high-resolution parameter estimation algorithms in DFT beamspace have been proposed as efficient gridless channel estimation schemes for MIMO OFDM systems in the millimeter wave (mmWave) band. Compared to conventional ESPRIT-based algorithms in element space, the DFT beamspace approach can be applied to MIMO systems with hybrid analog-digital architectures. Moreover, this approach significantly reduces the training overhead for communication systems operating in the mmWave band. It involves coarse and fine estimation steps. 

The architecture and deployment of mobile networks has experienced dramatic transformation in the past decade, enabled through embracing “disaggregation” at different levels. This in turn has led to diversification of the ecosystem. At the same time, disaggregation of mobile networking systems introduces new challenges. In this talk, I’ll start by giving my perspective on the key drivers (economic and beyond) behind the remarkable transformation of the mobile networking landscape and outline three levels of disaggregation that played a pivotal role.

Emerging energy and electronics technologies such as lightweight solar cells, low power computing devices, and earth-abundant water splitting catalysts could power the renewable energy transition, but their impact is limited by performance and manufacturability. Scalable nanomanufacturing via printing could address these needs by allowing low-cost integration of high-performance materials over large areas and in new 3D geometries.