Channel estimation is one of the main challenges for implementing reconfigurable intelligent
surface (RIS)-aided communication system with a large number of antennas at the base …

In this paper, we present a communication-efficient federated learning framework inspired
by quantized compressed sensing. The presented framework consists of gradient …

We propose a novel joint channel and data estimation (JCDE) scheme to combat the rate
limitation in fronthaul links of cell-free massive MIMO (CF-mMIMO) systems introduced by …

This chapter presents results on inversion, learning, and identification of nonlinear data
models or data processing models of the type y= g (A (x)(x+ ns))+ nm and their applications …

We propose a novel message passing de-quantization (MPDQ) algorithm for low-complexity
uplink signal detection in mmWave large multi-user multi-input multi-output (MU-MIMO) …

Deep networks have received considerable attention in recent years due to their
applications in different problems of science and engineering. This dissertation explores the …

In this research work, we propose a enhanced large scale multi-input multi-output (MIMO)
approximate message passing (LAMA) based optimal data detector for large scale MIMO …