The field of integrated sensing and communication systems is rapidly evolving, with a focus on developing innovative solutions that combine sensing and communication functionalities. Recent research has explored the use of embodied edge intelligence, near-field communication, and reconfigurable intelligent surfaces to enhance the performance of these systems. Notably, the integration of sensing and communication has led to the development of new paradigms, such as joint radar-communications waveform design and cooperative sensing-assisted predictive beam tracking. These advancements have the potential to enable a wide range of applications, including remote surgery, autonomous driving, and holographic telepresence. Noteworthy papers in this area include the proposal of AirBreath sensing, a spectrum-efficient framework that mitigates interference in over-the-air distributed sensing, and the development of a programmable scheduler design for Open RAN Distributed Units that guarantees minimum throughput levels to User Equipments via configurable weights.
Advances in Integrated Sensing and Communication Systems
Sources
Embodied Edge Intelligence Meets Near Field Communication: Concept, Design, and Verification
AirBreath Sensing: Protecting Over-the-Air Distributed Sensing Against Interference
Optimizing ROS 2 Communication for Wireless Robotic Systems
Content Accuracy and Quality Aware Resource Allocation Based on LP-Guided DRL for ISAC-Driven AIGC Networks
TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance
Cylindrical RIS-Assisted Low-Complexity Transmission with Differentiated Visible Regions Exploiting Statistical CSI
Deadline-Aware Bandwidth Allocation for Semantic Generative Communication with Diffusion Models
Cooperative Sensing-Assisted Predictive Beam Tracking for MIMO-OFDM Networked ISAC Systems
Deep Semantic Inference over the Air: An Efficient Task-Oriented Communication System
Research on GEO SA-Bi SAR Imaging based on Joint Radar-Communications Waveform
SL-ACC: A Communication-Efficient Split Learning Framework with Adaptive Channel-wise Compression
Joint Beamforming Design for RIS-Empowered NOMA-ISAC Systems
Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
Some Optimal and Near Optimal Doppler Resilient Complementary Sequence Sets
High-Capacity and Low-PAPR BICM-OFDM Systems Using Non-Equiprobable and Non-Uniform Constellation Shaping With Clipping and Filtering