no code implementations • 29 Jan 2024 • Xiangzhao Qin, Sha Hu, Jiankun Zhang, Jing Qian, Hao Wang
Deep learning (DL) based channel estimation (CE) and multiple input and multiple output detection (MIMODet), as two separate research topics, have provided convinced evidence to demonstrate the effectiveness and robustness of artificial intelligence (AI) for receiver design.
1 code implementation • 8 Dec 2020 • Sha Hu, Zeshi Yang, Greg Mori
We consider the problem of optimizing a robot morphology to achieve the best performance for a target task, under computational resource limitations.
no code implementations • 27 Nov 2019 • Chongwen Huang, Sha Hu, George C. Alexandropoulos, Alessio Zappone, Chau Yuen, Rui Zhang, Marco Di Renzo, Mérouane Debbah
Future wireless networks are expected to evolve towards an intelligent and software reconfigurable paradigm enabling ubiquitous communications between humans and mobile devices.
1 code implementation • 28 Sep 2019 • Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
We present a relational graph learning approach for robotic crowd navigation using model-based deep reinforcement learning that plans actions by looking into the future.