We investigate the performance of multi-user multiple-antenna downlink systems in which a base station (BS) serves multiple users via a shared wireless medium. In order to fully …
SA Hamza, MG Amin - IEEE Transactions on Aerospace and …, 2020 - ieeexplore.ieee.org
We develop sparse array receive beamformer design methods achieving maximum signal-to- interference plus noise ratio for wideband sources and jammers. Both tapped delay line …
L Hu, G Li, X Qian, A Hu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is a disruptive technology to enhance the performance of physical-layer key generation (PKG) thanks to its ability to smartly customize …
In multi-antenna systems, it is preferred to activate only a subset of the available transmit antennas in order to save hardware and energy resources, without seriously degrading the …
MS Ibrahim, A Konar… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Massive MIMO is currently a leading physical layer technology candidate that can dramatically enhance throughput in 5G systems, for both unicast and multicast transmission …
SA Hamza, MG Amin - Digital Signal Processing, 2020 - Elsevier
We consider sparse array beamformer design achieving maximum signal-to interference plus noise ratio (MaxSINR). Both array configuration and weights are attuned to the …
The chapter considers sparse array beamforming design via machine learning with the learning objective of maximum signal‐to‐interference plus noise ratio (MaxSINR). The …
The paper examines neural network learning of the sparse array configurations in optimum beamforming. Unlike iterative greedy, convex, and global optimization methods for optimum …
SA Hamza, MG Amin - 2019 53rd Asilomar Conference on …, 2019 - ieeexplore.ieee.org
Sparse array design has been advantageous in re¬ ducing receiver data, system's hardware and computational costs by the careful placement of available sensors such that the ob¬ …