5 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…
Beam Structured Turbo Receiver for HF Skywave Massive MIMO
Linfeng Song, Ding Shi, Xiqi Gao +2
In this paper, we investigate receiver design for high frequency (HF) skywave massive multiple-input multiple-output (MIMO) communications. We first establish a modified beam based…
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…
Rescale-Invariant Federated Reinforcement Learning for Resource Allocation in V2X Networks
Kaidi Xu, Shenglong Zhou, Geoffrey Ye Li
Federated Reinforcement Learning (FRL) offers a promising solution to various practical challenges in resource allocation for vehicle-to-everything (V2X) networks. However, the dat…
Spatially Sparse Precoding in Wideband Hybrid Terahertz Massive MIMO Systems
Jiabao Gao, Caijun Zhong, Geoffrey Ye Li +2
In terahertz (THz) massive multiple-input multiple-output (MIMO) systems, the combination of huge bandwidth and massive antennas results in severe beam split, thus making the conve…