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A. Lee Swindlehurst

11 accepted papers

2025

Model-Based Machine Learning for Max-Min Fairness Beamforming Design in JCAS Systems

ICASSP 2025accepted

Joint communications and sensing (JCAS) is expected to be a crucial technology for future wireless systems. This paper investigates beamforming design for a multi-user multi-target JCAS system to ensure fairness and balance between communications and sensing performance. We jointly optimize the tran…

Cited by 0SourceScholar
2023

Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems

ICASSP 2023accepted

Hybrid beamforming (HBF) is a key enabler for millimeter-wave (mmWave) communications systems, but HBF optimizations are often non-convex and of large dimension. In this paper, we propose an efficient deep unfolding-based HBF scheme, referred to as ManNet-HBF, that approximately maximizes the system…

Cited by 0SourceScholar
2021

Joint Optimization for Full-Duplex Cellular Communications Via Intelligent Reflecting Surface

ICASSP 2021accepted

The implementation of full-duplex (FD) theoretically doubles the spectral efficiency of cellular communications. We propose a multiuser FD cellular network relying on an intelligent reflecting surface (IRS). The IRS is deployed to cover a dead zone while suppressing user-side self-interference (SI)…

Cited by 0SourceScholar
2020

Multiuser Massive Mimo Downlink Precoding Using Second-Order Spatial Sigma-Delta Modulation

ICASSP 2020accepted

Massive MIMO using low-resolution digital-to-analog converters (DACs) at the base station (BS) is an attractive downlink approach for reducing hardware overhead and for reducing power consumption, but managing the large quantization noise effect is a challenge. Spatial Sigma-Delta (ΣΔ) modulation is…

Cited by 0SourceScholar
2019

Massive Mimo Channel Estimation with 1-Bit Spatial Sigma-delta ADCS

ICASSP 2019accepted

We consider channel estimation for an uplink massive multiple input multiple output (MIMO) system where the base station (BS) uses a first-order spatial Sigma-Delta (ΣΔ) analogto-digital converter (ADC) array. The ΣΔ array consists of closely spaced sensors which oversample the received signal and p…

Cited by 0SourceScholar
2018

Reduced Dimension Minimum BER PSK Precoding for Constrained Transmit Signals in Massive MIMO

ICASSP 2018accepted

Recently a number of nonlinear precoding algorithms have been developed for designing a downlink transmit signal that is constrained by some nonlinearity, such as one-bit quantization, power-amplifier saturation or constant modulus. These methods use iterative search algorithms to directly design th…

Cited by 0SourceScholar
2017

Minimum probability-of-error perturbation precoding for the one-bit massive MIMO downlink

ICASSP 2017accepted

Linear precoders have been shown to perform reasonably well at low SNR when the basestation of a MIMO downlink employs one-bit digital-to-analog converters to quantize the precoder outputs. However, at medium-to-high SNRs, an error floor is encountered due to the coarse quantization. This paper exam…

Cited by 0SourceScholar
2016

Energy efficient beamforming for secure communication in cognitive radio networks

ICASSP 2016accepted

In this paper, we study the energy efficiency of secure communication in an underlay cognitive radio network (CRN). We first formulate an optimization problem to maximize the secrecy energy efficiency (SEE) while meeting the quality-of-service (QoS) requirement for the primary user and the transmit…

Cited by 0SourceScholar