6 citations · 22 across the 7 of their papers we have counts for
9 papers
Treating Interference as Noise in Cell-Free Massive MIMO Networks
Shuaifei Chen, Jiayi Zhang, Zheng Chen +1
How to manage the interference introduced by the enormous wireless devices is a crucial issue to address in the prospective sixth-generation (6G) communications. The treating inter…
On-Demand AoI Minimization in Resource-Constrained Cache-Enabled IoT Networks with Energy Harvesting Sensors
Mohammad Hatami, Markus Leinonen, Zheng Chen +2
We consider a resource-constrained IoT network, where multiple users make on-demand requests to a cache-enabled edge node to send status updates about various random processes, eac…
Device Scheduling and Update Aggregation Policies for Asynchronous Federated Learning
Chung-Hsuan Hu, Zheng Chen, Erik G. Larsson
Federated Learning (FL) is a newly emerged decentralized machine learning (ML) framework that combines on-device local training with server-based model synchronization to train a c…
Consensus-Based Distributed Computation of Link-Based Network Metrics
Zheng Chen, Erik G. Larsson
Average consensus algorithms have wide applications in distributed computing systems where all the nodes agree on the average value of their initial states by only exchanging infor…
Dynamic Resource Allocation in Co-Located and Cell-Free Massive MIMO
Zheng Chen, Emil Björnson, Erik G. Larsson
In this paper, we study joint power control and scheduling in uplink massive multiple-input multiple-output (MIMO) systems with randomly arriving data traffic. We consider both co-…
Dynamic Scheduling and Power Control in Uplink Massive MIMO with Random Data Arrivals
Zheng Chen, Emil Björnson, Erik G. Larsson
In this paper, we study the joint power control and scheduling in uplink massive multiple-input multiple-output (MIMO) systems with random data arrivals. The data is generated at e…