activity
20112023
most citedAn ESPRIT-Based Approach for 2-D Localization of Incoherently Distributed Sources in Massive MIMO Systems

240 citations · 1.3k across the 47 of their papers we have counts for

collaborators

47 papers

cs.IT2023

Multi-Carrier NOMA-Empowered Wireless Federated Learning with Optimal Power and Bandwidth Allocation

Weicai Li, Tiejun Lv, Yashuai Cao +2

Wireless federated learning (WFL) undergoes a communication bottleneck in uplink, limiting the number of users that can upload their local models in each global aggregation round.…

eess.SP2023★ 2 cited

Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free Systems

Yingping Cui, Tiejun Lv, Wei Ni +1

This paper puts forth a new, reconfigurable intelligent surface (RIS)-assisted, uplink, user-centric cell-free (UCCF) system managed with the assistance of a digital twin (DT). Spe…

eess.SP2022

On Secure Uplink Transmission in Hybrid RF-FSO Cooperative Satellite-Aerial-Terrestrial Networks

Yuanyuan Ma, Tiejun Lv, Gaofeng Pan +2

This work investigates the secrecy outage performance of the uplink transmission of a radio-frequency (RF)-free-space optical (FSO) hybrid cooperative satellite-aerial-terrestrial…

cs.NI2022★ 16 cited

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds

Kai Li, Yingping Cui, Weicai Li +6

In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments. This su…

cs.NI2022

Caching Scalable Videos in the Edge of Wireless Cellular Networks

Xuewei Zhang, Yuan Ren, Tiejun Lv +1

By pre-fetching popular videos into the local caches of edge nodes, wireless edge caching provides an effective means of reducing repeated content deliveries. To meet the various v…

cs.AI2022

Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing

Shaoyang Wang, Chau Yuen, Wei Ni +2

This paper proposes an effective and novel multiagent deep reinforcement learning (MADRL)-based method for solving the joint virtual network function (VNF) placement and routing (P…