24 citations · 196 across the 59 of their papers we have counts for
22 papers · 1 filter
Task Offloading for Large-Scale Asynchronous Mobile Edge Computing: An Index Policy Approach
Yizhen Xu, Peng Cheng, Zhuo Chen +3
Mobile-edge computing (MEC) offloads computational tasks from wireless devices to network edge, and enables real-time information transmission and computing. Most existing work con…
Performance Analysis and Optimization of NOMA with HARQ for Short Packet Communications in Massive IoT
Fatemeh Ghanami, Ghosheh Abed Hodtani, Branka Vucetic +1
In this paper, we consider the massive non-orthogonal multiple access (NOMA) with hybrid automatic repeat request (HARQ) for short packet communications. To reduce the latency, eac…
Deep Residual Learning-Assisted Channel Estimation in Ambient Backscatter Communications
Xuemeng Liu, Chang Liu, Yonghui Li +2
Channel estimation is a challenging problem for realizing efficient ambient backscatter communication (AmBC) systems. In this letter, channel estimation in AmBC is modeled as a den…
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
Zhouyou Gu, Changyang She, Wibowo Hardjawana +4
In this paper, we develop a knowledge-assisted deep reinforcement learning (DRL) algorithm to design wireless schedulers in the fifth-generation (5G) cellular networks with time-se…
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She, Chengjian Sun, Zhouyou Gu +4
As one of the key communication scenarios in the 5th and also the 6th generation (6G) of mobile communication networks, ultra-reliable and low-latency communications (URLLC) will b…
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles
Yuxin Lu, Peng Cheng, Zhuo Chen +3
Envisioned as a promising component of the future wireless Internet-of-Things (IoT) networks, the non-orthogonal multiple access (NOMA) technique can support massive connectivity w…