Signal Processing Papers of the Week

Motivated by industry efforts in AI-native RAN, we propose Graph-Transformer Actor-Critic (GTAC), a deep reinforcement learning (DRL) architecture for carrier-aware MU-MIMO user grouping.

ABSTRACT This article investigates the practically predefined‐time control problem for stochastic nonlinear systems with state constraints and both state and input delays.

We prove that joint allocation under the sum-rate utility is nondeterministic polynomial-time (NP)-hard and that the utility sequence accepted by Joint-FP is non-decreasing and convergent.

This study analyzes a nonideal flux-controlled memristor based on a trigonometric function, and subsequently integrates it into two configurations of Chua systems to generate multi-double-scroll chaotic attractors.

Accurate and efficient channel modeling is critical for evaluating the sixth-generation (6G) networks, while dynamic ray-tracing (DRT) remains bottlenecked by its reliance on channel coherence time. To address this limitation, this paper proposes a novel bounding volume hierarchy-accelerated DRT (BVH-DRT), which introduces a mechanism shift from a time-driven update in DRT to a spatial-driven update.

We show that a geometry-aware (GA) steering-vector codebook, constructed from the actual antenna coordinates, reconstructs channels more accurately than a conventional discrete Fourier transform (DFT) codebook when the optimized array departs from a uniform grid.

In networked integrated sensing and communication (ISAC), a base station (BS) performing sensing using its own downlink signals is subject to interference from the downlink transmissions of neighboring BSs.

To unlock these, we propose a movable pattern-reconfigurable antenna (MPRA) and an energy-efficient tri-hybrid framework that jointly optimizes the precoders, antenna positions, and radiation-pattern states.

This letter proposes anti-diagonal reduced-cost index-masked (ARIA) adaptive BLMS, which reduces coefficient-update multiplications through anti-diagonal index masking and tap-wise step-size scaling while keeping the filtering exact.

However, its performance can be considerably degraded in the presence of abnormal measurements, due to the sensitivity of MMSE to outliers. To address this problem, we design a robust weighted square error and integrate it into the Kalman filtering framework, resulting in the minimum robust weighted square error-based extended Kalman filtering (MRWSE-EKF) algorithm.

This paper investigates continuous wideband orthogonal frequency-division multiplexing (OFDM) reception using an auxiliary (AUX)-assisted five-level Rydberg atomic quantum receiver (RAQR) with a single microwave local oscillator (LO), without requiring additional atomic reception transitions or LO frequency combs.

However, existing FWMR techniques are fundamentally limited either by the severe computational burden of iterative algorithms and complex Lyapunov inequalities, or by the unacceptably large errors caused by the uneven eigenvalue distribution in current methods. Therefore, this article presents a novel FWMR technique designed for 2‐D decoupled denominator‐type discrete‐time systems to solve these crucial bottlenecks.