17 citations · 19 across the 5 of their papers we have counts for
5 papers
RadioDiff-Inverse: Diffusion Enhanced Bayesian Inverse Estimation for ISAC Radio Map Construction
Xiucheng Wang, Zhongsheng Fang, Nan Cheng +4
Radio maps (RMs) are essential for environment-aware communication and sensing, providing location-specific wireless channel information. Existing RM construction methods often rel…
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks
Jingzhi Hu, Xin Li, Zhou Su +1
In wireless networks with integrated sensing and communications (ISAC), edge intelligence (EI) is expected to be developed at edge devices (ED) for sensing user activities based on…
Matching-Driven Deep Reinforcement Learning for Energy-Efficient Transmission Parameter Allocation in Multi-Gateway LoRa Networks
Ziqi Lin, Xu Zhang, Shimin Gong +3
Long-range (LoRa) communication technology, distinguished by its low power consumption and long communication range, is widely used in the Internet of Things. Nevertheless, the LoR…
Multi-Time Scale Service Caching and Pricing in MEC Systems with Dynamic Program Popularity
Yiming Chen, Xingyuan Hu, Bo Gu +2
In mobile edge computing systems, base stations (BSs) equipped with edge servers can provide computing services to users to reduce their task execution time. However, there is alwa…
Can We Enhance the Quality of Mobile Crowdsensing Data Without Ground Truth?
Jiajie Li, Bo Gu, Shimin Gong +2
Mobile crowdsensing (MCS) has emerged as a prominent trend across various domains. However, ensuring the quality of the sensing data submitted by mobile users (MUs) remains a compl…