⚡ Category

eess.SP

1518 papers

The intersection of electrical engineering and space physics explores how human-made systems interact with the vast, dynamic environment of our planet's upper atmosphere and beyond. From satellites orbiting Earth to the invisible magnetic fields that protect us, this field examines the complex dance between technology and the cosmos, revealing how space weather can disrupt communications or power grids on the ground.

Gist.Science ensures these critical discoveries remain accessible by processing every new preprint in this category directly from arXiv. We transform dense academic texts into clear, plain-language overviews alongside detailed technical summaries, making the latest research understandable for everyone from students to industry professionals. Below are the latest papers in this dynamic field, ready for you to explore.

⚡ electrical engineering

Zipf's Law of Abbreviation in a Logographic Script: Coding-Theoretic Bounds on Chinese Character Stroke Counts

This study extends Zipf's law of abbreviation to logographic scripts by demonstrating that Chinese character stroke counts exhibit significant compression relative to optimal coding bounds, a pattern largely independent of script type that is further enhanced by historical simplification reforms and balanced against the structural necessity of two-dimensional stroke arrangement for character disambiguation.

Mustafa Ergen2026-08-18
💻 computer science

Diffused-Beam Laser-Diode LiFi Under Realizable Receiver, Noise, and Safety Constraints: Design-Space Analysis and an Open Cross-Verified Simulation Framework

This paper presents a realizability-constrained design-space analysis and an open-source simulation framework for diffused-beam laser-diode LiFi that corrects common idealized assumptions by enforcing strict circuit, noise, and safety constraints, revealing that realistic performance is significantly lower than textbook projections while still achieving net data rates of up to 558 Mb/s under verified hardware conditions.

Hussain Ahmad, Saleem Aslam, Ammara Nasim, Syed Muhammad Talha Gillani, Toheed Omer2026-08-18
⚡ electrical engineering

PRISM: Decision-Centric Predictive Sensing for Cognitive Digital Twins in 6G

This paper proposes PRISM, a decision-centric predictive sensing engine for Cognitive Digital Twins in 6G networks that proactively directs sensing resources toward anticipated decision needs rather than using fixed schedules, thereby significantly reducing overhead while maintaining reliability and latency in diverse deployment scenarios.

Afan Ali, Daniel Benevides da Costa, Ali Arshad Nasir2026-08-18
⚡ electrical engineering

Beamforming and Filter Design for Bistatic ISAC under Known and Unknown Transmit Symbols

This paper proposes tractable joint beamforming and filter design algorithms for bistatic ISAC systems under both known and unknown transmit symbol scenarios, demonstrating that symbol knowledge significantly enhances multi-slot coherent integration performance while maintaining near-radar-only sensing capabilities under moderate communication constraints.

Mohammad Hatami, Nhan Thanh Nguyen, Markku Juntti2026-08-18
⚡ electrical engineering

Energy Efficient Multi-User Beamforming and 3D Position Optimization for SIM-Assisted UAVs

This paper proposes a hardware-aware, energy-efficient joint optimization framework for SIM-assisted UAVs that simultaneously designs digital precoders, cascaded metasurface phase shifts, and 3D UAV positioning using a transform-based alternating optimization algorithm to significantly outperform conventional benchmark schemes.

Chandan Kumar Sheemar, Giovanni Iacovelli, Sourabh Solanki, Wali Ullah Khan, George C. Alexandropoulos, Symeon Chatzinot (…)2026-08-17
⚡ electrical engineering

Standard-Compliant Neuromorphic Integrated Sensing and Communications Aided by an Intelligent Reflecting Surface

This paper proposes a standard-compliant neuromorphic integrated sensing and communications (N-ISAC) system that utilizes a spiking neural network receiver to jointly demodulate data and detect targets from IEEE 802.15.4z UWB waveforms, while analyzing the performance-energy trade-offs introduced by a frequency-selective reconfigurable intelligent surface (RIS) in a realistic ray-traced channel.

Jiho Park, Jiechen Chen, Joonhyuk Kang, Osvaldo Simeone2026-08-17
⚡ electrical engineering

Budget-Aware Federated Dual-Side Channel Estimation for Hybrid mmWave Massive MIMO

This paper proposes BARRNet, a budget-aware neural network architecture that combines a compact residual backbone with lightweight channel-wise recalibration to achieve superior normalized mean squared error and communication efficiency tradeoffs for federated dual-side channel estimation in hybrid mmWave massive MIMO systems under the standard FedAvg framework.

Jiawei Chen, Ruining Fan, Mouli Chakraborty, Avishek Nag, Anshu Mukherjee2026-08-17