Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation
(5G) and beyond 5G (B5G) communication systems. Unfortunately, the complexity of …

The application of zeroing neural network (ZNN) to solve multifarious time-varying problems,
especially the dynamic matrix inversion (DMI), is widely used in recent years. As the core …

In massive multiple-input multiple-output (MIMO) uplink, linear minimum mean square error
(MMSE) detection achieves near-optimal performance but suffers from undesirable …

For massive multiple-input multiple-output (MIMO) systems, minimum mean square error
(MMSE) detection is near-optimal, but requires high-complexity matrix inversion. To avoid …

An N× N iterative photonic processor is proposed for the first time, we believe, for fast
computation of complex-valued matrix inversion, a fundamental but computationally …

Massive multiple‐input multiple‐output (MIMO) systems improve spectral efficiency and link
reliability. Linear minimum mean‐squared error (MMSE) detectors can achieve optimal …

In this paper, we investigate low probability interception (LPI) in passive phased array
radars. Power control and transmit beamforming (BF) are used to minimize the received …

Photonic integrated circuits have been extensively explored for optical processing with the
aim of breaking the speed and energy efficiency bottlenecks of digital electronics. However …

We a framework for the design of low-complexity and high-performance receivers for
multidimensional overloaded non-orthogonal multiple access (NOMA) systems. The …

Precoding algorithms are used in massive multiple-input multiple-output (mMIMO)
communication systems to ensure effective signal transmission. The zero-forcing (ZF) is one …