98 citations · 125 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
Data-Driven Random Access Optimization in Multi-Cell IoT Networks with NOMA
Sami Khairy, Prasanna Balaprakash, Lin X. Cai +1
Non-orthogonal multiple access (NOMA) is a key technology to enable massive machine type communications (mMTC) in 5G networks and beyond. In this paper, NOMA is applied to improve…
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…
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…
A Hybrid Approach for Efficient Wireless Information and Power Transfer in Green C-RAN
Xu Li, Zhao Chen, Aurobinda Laha +3
In this paper, we consider a green cloud radio access network (C-RAN) with simultaneous wireless and power transfer ability. In order to reduce the energy consumed for updating the…