9 citations · 16 across the 5 of their papers we have counts for
9 papers
A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control
Ziru Chen, Ran Zhang, Lin X. Cai +2
As a main use case of 5G and Beyond wireless network, the ever-increasing machine type communications (MTC) devices pose critical challenges over MTC network in recent years. It is…
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
Sami Khairy, Prasanna Balaprakash, Lin X. Cai
The canonical solution methodology for finite constrained Markov decision processes (CMDPs), where the objective is to maximize the expected infinite-horizon discounted rewards sub…
Optimizing Non-Orthogonal Multiple Access in Random Access Networks
Ziru Chen, Yong Liu, Sami Khairy +3
Non-orthogonal multiple access (NOMA) has been considered as a promising solution for improving the spectrum efficiency of next-generation wireless networks. In this paper, the per…
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA
Sami Khairy, Prasanna Balaprakash, Lin X. Cai +1
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) technique to improve the massive channel access of a wireless IoT network where solar-powered Unmanned Aerial Vehi…
On the Fairness Performance of NOMA-based Wireless Powered Communication Networks
Yong Liu, Xuehan Chen, Lin X. Cai +3
The near-far problem causes severe throughput unfairness in wireless powered communication networks (WPCN). In this paper, we exploit non-orthogonal multiple access (NOMA) technolo…
A Stochastic Geometry Analysis of Energy Harvesting in Large Scale Wireless Networks
Ziru Chen, Zhao Chen, Lin X. Cai +2
In this paper, the theoretical sustainable capacity of wireless networks with radio frequency (RF) energy harvesting is analytically studied. Specifically, we consider a large scal…