8 papers
Rate-Splitting Multiple Access for Secure Near-Field Integrated Sensing and Communication
Jiasi Zhou, Chintha Tellambura, Geoffrey Ye Li
Near-field integrated sensing and communication (ISAC) leverages distance-dependent channel variations for joint distance and angle estimation. However, full-digital architectures…
Distillation-Enabled Knowledge Alignment Protocol for Semantic Communication in AI Agent Networks
Jingzhi Hu, Geoffrey Ye Li
Future networks are envisioned to connect massive artificial intelligence (AI) agents, enabling their extensive collaboration on diverse tasks. Compared to traditional entities, th…
Distributionally Robust Adaptive Beamforming
Shixiong Wang, Wei Dai, Geoffrey Ye Li
As a fundamental technique in array signal processing, beamforming plays a crucial role in amplifying signals of interest (SoI) while mitigating interference plus noise (IPN). When…
Deep Reinforcement Learning-Based Resource Allocation for Hybrid Bit and Generative Semantic Communications in Space-Air-Ground Integrated Networks
Chong Huang, Xuyang Chen, Gaojie Chen +3
In this paper, we introduce a novel framework consisting of hybrid bit-level and generative semantic communications for efficient downlink image transmission within space-air-groun…
Hybrid Beamforming Design for RSMA-enabled Near-Field Integrated Sensing and Communications
Jiasi Zhou, Chintha Tellambura, Geoffrey Ye Li
Integrated sensing and communication (ISAC) networks leverage extremely large antenna arrays and high frequencies. This inevitably extends the Rayleigh distance, making near-field…
Task-Oriented Semantic Communication for Stereo-Vision 3D Object Detection
Zijian Cao, Hua Zhang, Le Liang +3
With the development of computer vision, 3D object detection has become increasingly important in many real-world applications. Limited by the computing power of sensor-side hardwa…