1.5k citations · 1.7k across the 10 of their papers we have counts for
10 papers
Federated Learning over Energy Harvesting Wireless Networks
Rami Hamdi, Mingzhe Chen, Ahmed Ben Said +2
In this paper, the deployment of federated learning (FL) is investigated in an energy harvesting wireless network in which the base station (BS) employs massive multiple-input mult…
Federated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana +3
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence (AI).…
Matrix-Monotonic Optimization Part II: Multi-Variable Optimization
Chengwen Xing, Shuai Wang, Sheng Chen +3
In contrast to Part I of this treatise [1] that focuses on the optimization problems associated with single matrix variables, in this paper, we investigate the application of the m…
A Unified Framework for SINR Analysis in Poisson Networks with Traffic Dynamics
Howard H. Yang, Tony Q. S. Quek, H. Vincent Poor
We study the performance of wireless links for a class of Poisson networks, in which packets arrive at the transmitters following Bernoulli processes. By combining stochastic geome…
Intelligent User Association for Symbiotic Radio Networks using Deep Reinforcement Learning
Qianqian Zhang, Ying-Chang Liang, H. Vincent Poor
In this paper, we are interested in symbiotic radio networks, in which an Internet-of-Things (IoT) network parasitizes in a primary network to achieve spectrum-, energy-, and infra…
Matrix-Monotonic Optimization Part I: Single-Variable Optimization
Chengwen Xing, Shuai Wang, Sheng Chen +3
Matrix-monotonic optimization exploits the monotonic nature of positive semi-definite matrices to derive optimal diagonalizable structures for the matrix variables of matrix-variab…