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20212026
most citedTimeliness of Information for Computation-intensive Status Updates in Task-oriented Communications

2 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2026

Adaptive Source-Channel Coding for Bi-static Integrated Sensing and Semantic Communications

Haotian Wang, Dan Wang, Xiaodong Xu +4

Semantic communication (SemCom) has emerged as a new paradigm to facilitate the performance of integrated sensing and communication systems in 6G, due to its potential to enhance t…

cs.IT2023★ 2 cited

Universal Performance Bounds for Joint Self-Interference Cancellation and Data Detection in Full-Duplex Communications

Meng He, Chuan Huang

This paper studies the joint digital self-interference (SI) cancellation and data detection in an orthogonal-frequency-division-multiplexing (OFDM) full-duplex (FD) system, conside…

cs.IT2023★ 1 cited

Joint Task and Data Oriented Semantic Communications: A Deep Separate Source-channel Coding Scheme

Jianhao Huang, Dongxu Li, Chuan Huang +2

Semantic communications are expected to accomplish various semantic tasks with relatively less spectrum resource by exploiting the semantic feature of source data. To simultaneousl…

cs.DC2022★ 2 cited

Timeliness of Information for Computation-intensive Status Updates in Task-oriented Communications

Xiaoqi Qin, Yanlin Li, Xianxin Song +3

Moving beyond just interconnected devices, the increasing interplay between communication and computation has fed the vision of real-time networked control systems. To obtain timel…

cs.IT2022★ 1 cited

Multicast Scheduling over Multiple Channels: A Distribution-Embedding Deep Reinforcement Learning Method

Ran Li, Chuan Huang, Xiaoqi Qin +1

Multicasting is an efficient technique for simultaneously transmitting common messages from the base station (BS) to multiple mobile users (MUs). Multicast scheduling over multiple…

eess.SP2021

Joint Model and Data Driven Receiver Design for Data-Dependent Superimposed Training Scheme with Imperfect Hardware

Chaojin Qing, Lei Dong, Li Wang +2

Data-dependent superimposed training (DDST) scheme has shown the potential to achieve high bandwidth efficiency, while encounters symbol misidentification caused by hardware imperf…