593 citations · 1.3k across the 69 of their papers we have counts for
69 papers
ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning
Shamik Sarkar, Dongning Guo, Danijela Cabric
Spatial prediction of the radio propagation environment of a transmitter can assist and improve various aspects of wireless networks. The majority of research in this domain can be…
An Asynchronous Massive Access Scheme with Dynamic Range Considerations
Lina Liu, Dongning Guo
This paper studies the performance of a transmission and reception scheme for massive access under some practical challenges. One challenge is the near-far problem, i.e., an access…
Bitcoin's Latency--Security Analysis Made Simple
Dongning Guo, Ling Ren
Simple closed-form upper and lower bounds are developed for the security of the Nakamoto consensus as a function of the confirmation depth, the honest and adversarial block mining…
Asynchronous Massive Access in Multi-cell Wireless Networks Using Reed-Muller Codes
Pei Yang, Dongning Guo, Hongwen Yang
Providing connectivity to a massive number of devices is a key challenge in 5G wireless systems. In particular, it is crucial to develop efficient methods for active device identif…
A New Distributed Method for Training Generative Adversarial Networks
Jinke Ren, Chonghe Liu, Guanding Yu +1
Generative adversarial networks (GANs) are emerging machine learning models for generating synthesized data similar to real data by jointly training a generator and a discriminator…
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks
Yasar Sinan Nasir, Dongning Guo
A wireless network operator typically divides the radio spectrum it possesses into a number of subbands. In a cellular network those subbands are then reused in many cells. To miti…