142 citations · 487 across the 83 of their papers we have counts for
9 papers · 1 filter
Brain-Inspired Stigmergy Learning
Xing Hsu, Zhifeng Zhao, Rongpeng Li +1
Stigmergy has proved its great superiority in terms of distributed control, robustness and adaptability, thus being regarded as an ideal solution for large-scale swarm control prob…
Deep Learning with Long Short-Term Memory for Time Series Prediction
Yuxiu Hua, Zhifeng Zhao, Rongpeng Li +3
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies…
Fundamentals on Base Stations in Cellular Networks: From the Perspective of Algebraic Topology
Ying Chen, Rongpeng Li, Zhifeng Zhao +1
In recent decades, the deployments of cellular networks have been going through an unprecedented expansion. In this regard, it is beneficial to acquire profound knowledge of cellul…
Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective
Xianfu Chen, Celimuge Wu, Mehdi Bennis +2
This paper studies the problem of non-cooperative radio resource scheduling in a vehicle-to-vehicle communication network. The technical challenges lie in high vehicle mobility and…
Study on Base Station Topology in Cellular Networks: Take Advantage of Alpha Shapes, Betti Numbers, and Euler Characteristics
Ying Chen, Rongpeng Li, Zhifeng Zhao +1
Faced with the ever-increasing trend of the cellular network scale, how to quantitatively evaluate the effectiveness of the large-scale deployment of base stations (BSs) has become…
Multi-Tenant Cross-Slice Resource Orchestration: A Deep Reinforcement Learning Approach
Xianfu Chen, Zhifeng Zhao, Celimuge Wu +4
With the cellular networks becoming increasingly agile, a major challenge lies in how to support diverse services for mobile users (MUs) over a common physical network infrastructu…