MIMO

GPU-Based Linearization of MIMO Arrays

In this paper, we present a graphics processing unit (GPU)-based implementation for linearizing the power amplifiers (PAs) in massive multiple-input multiple-output (MIMO) arrays leading to lower error vector magnitude for the users and lower …

Design trade-offs for decentralized baseband processing in massive MU-MIMO systems

Massive multi-user (MU) multiple-input multiple- output (MIMO) provides high spectral efficiency by means of spatial multiplexing and fine-grained beamforming. However, conventional base-station (BS) architectures for systems with hundreds of …

Two Papers Accepted for Asilomar 2019

The two papers I was involved with and submitted to Asilomar this year were accepted. The first paper is “Neural Network DPD via Backpropagation through a Neural Network Model of the PA.

Application-specific accelerators for communications

For computation-intensive digital signal processing algorithms, complexity is exceeding the processing capabilities of general-purpose digital signal processors (DSPs). In some of these applications, DSP hardware accelerators have been widely used to …