644 citations · 1.7k across the 110 of their papers we have counts for
21 papers · 1 filter
Deep Reinforcement Learning for Real-Time Optimization in NB-IoT Networks
Nan Jiang, Yansha Deng, Arumugam Nallanathan +1
NarrowBand-Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range of flexible configurations for massive IoT radio access from groups of devices w…
Performance Analysis of NOMA with Fixed Gain Relaying over Nakagami-m Fading Channels
Xinwei Yue, Yuanwei Liu, Shaoli Kang +1
This paper studies the application of cooperative techniques for non-orthogonal multiple access (NOMA). More particularly, the fixed gain amplify-and-forward (AF) relaying with NOM…
Cooperative Deep Reinforcement Learning for Multiple-Group NB-IoT Networks Optimization
Nan Jiang, Yansha Deng, Osvaldo Simeone +1
NarrowBand-Internet of Things (NB-IoT) is an emerging cellular-based technology that offers a range of flexible configurations for massive IoT radio access from groups of devices w…
UAV Communications Based on Non-Orthogonal Multiple Access
Yuanwei Liu, Zhijin Qin, Yunlong Cai +3
This article proposes a novel framework for unmaned aerial vehicle (UAV) networks with massive access capability supported by non-orthogonal multiple access (NOMA). In order to bet…
Energy-Efficient Mobile-Edge Computation Offloading for Applications with Shared Data
Xiangyu He, Hong Xing, Yue Chen +1
Mobile-edge computation offloading (MECO) has been recognized as a promising solution to alleviate the burden of resource-limited Internet of Thing (IoT) devices by offloading comp…
Non-Orthogonal Multiple Access for 5G and Beyond
Yuanwei Liu, Zhijin Qin, Maged Elkashlan +3
Driven by the rapid escalation of the wireless capacity requirements imposed by advanced multimedia applications (e.g., ultra-high-definition video, virtual reality etc.), as well…