activity
20202024
most citedMeta Federated Reinforcement Learning for Distributed Resource Allocation

46 citations · 164 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2024★ 13 cited

Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks

Zelin Ji, Zhijin Qin

The trend of massive connectivity pushes forward the explosive growth of end devices. The emergence of various applications has prompted a demand for pervasive connectivity and mor…

eess.SP2023★ 46 cited

Meta Federated Reinforcement Learning for Distributed Resource Allocation

Zelin Ji, Zhijin Qin, Xiaoming Tao

In cellular networks, resource allocation is usually performed in a centralized way, which brings huge computation complexity to the base station (BS) and high transmission overhea…

eess.SP2023★ 40 cited

Resource Optimization for Semantic-Aware Networks with Task Offloading

Zelin Ji, Zhijin Qin, Xiaoming Tao +1

The limited capabilities of user equipment restrict the local implementation of computation-intensive applications. Edge computing, especially the edge intelligence system, enables…

eess.SP2022★ 13 cited

Federated Learning for Distributed Energy-Efficient Resource Allocation

Zelin Ji, Zhijin Qin

In cellular networks, resource allocation is performed in a centralized way, which brings huge computation complexity to the base station (BS) and high transmission overhead. This…

eess.SP2021★ 34 cited

Reconfigurable Intelligent Surface Assisted Device-to-Device Communications

Zelin Ji, Zhijin Qin, Clive G. Parini

Reconfigurable intelligent surface (RIS) technology is a promising method to enhance wireless communications services and to realize the smart radio environment. In this paper, we…

eess.SP2020★ 18 cited

Reconfigurable Intelligent Surface Enhanced Device-to-Device Communications

Zelin Ji, Zhijin Qin

Reconfigurable intelligent surface (RIS) technology is a promising method to enhance the device-to-device (D2D) communications. To maximize the sum rate of the cellular and D2D net…