1

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 …

GPU-Based LDPC Decoding for vRAN Systems in 5G and Beyond

Next-generation virtual radio access networks (vRAN) will benefit from the flexibility provided by virtualization in proposed Cloud-RAN configurations. These systems for 5G and beyond may consist of commodity hardware such as GPUs in data centers …

Machine Learning Enhanced Channel Selection for Unlicensed LTE

We propose a mechanism for unlicensed LTE channel selection that not only takes into account interference to and from Wi-Fi access points but also considers other LTE operators in the unlicensed band. By collecting channel utilization statistics and …

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 …

Neural-Network DPD via Backpropagation through a Neural-Network Model of the PA

We demonstrate digital predistortion (DPD) using a novel, neural-network (NN) method to combat the nonlinearities in power amplifiers (PAs), which limit the power efficiency of mobile devices, increase the error vector magnitude, and cause inadequate …

Design and Implementation of a Neural Network Based Predistorter for Enhanced Mobile Broadband

Digital predistortion is the process of using digital signal processing to correct nonlinearities caused by the analog RF front-end of a wireless transmitter. These nonlinearities contribute to adjacent channel leakage, degrade the error vector …

Opportunistic channel access using reinforcement learning in tiered CBRS networks

The upcoming deployments of devices on the new 3.5 GHz, Citizens Broadband Radio Service (CBRS) is expected to enable innovation by lowering the barrier to entry into LTE and other technologies. With a three-tiered spectrum-sharing solution, the CBRS …

Multi component carrier, sub-band DPD and GNURadio implementation

Digital predistortion (DPD) is an effective way of mitigating spurious emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper, the IM3 subband DPD, …

Digital predistortion with low-precision ADCs

Digital Predistortion (DPD) is a popular technique for linearizing a power amplifier (PA) to help reduce the spurious emissions and spectral regrowth. DPD requires the learning of the inverse PA nonlinearities by training on the output of the PA. In …

Low-complexity, Sub-band DPD with Sequential Learning: Novel Algorithms and WARPLab Implementation

Digital predistortion (DPD) is an effective way of mitigating spurious emission violations without the need of a significant backoff in the transmitter, thus providing better power efficiency and network coverage. In this paper, an iterative version …