14 citations · 16 across the 2 of their papers we have counts for
5 papers
Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks
Mengjie Yi, Xijun Wang, Juan Liu +2
Due to the flexibility and low operational cost, dispatching unmanned aerial vehicles (UAVs) to collect information from distributed sensors is expected to be a promising solution…
Joint Queue-Aware and Channel-Aware Delay Optimal Scheduling of Arbitrarily Bursty Traffic over Multi-State Time-Varying Channels
Meng Wang, Juan Liu, Wei Chen +1
This paper is motivated by the observation that the average queueing delay can be decreased by sacrificing power efficiency in wireless communications. In this sense, we naturally…
Age-Optimal Trajectory Planning for UAV-Assisted Data Collection
Juan Liu, Xijun Wang, Bo Bai +1
Unmanned aerial vehicle (UAV)-aided data collection is a new and promising application in many practical scenarios. In this work, we study the age-optimal trajectory planning probl…
Cache Placement in Fog-RANs: From Centralized to Distributed Algorithms
Juan Liu, Bo Bai, Jun Zhang +1
To deal with the rapid growth of high-speed and/or ultra-low latency data traffic for massive mobile users, fog radio access networks (Fog-RANs) have emerged as a promising archite…
Delay Optimal Scheduling of Arbitrarily Bursty Traffic over Multi-State Time-Varying Channels
Meng Wang, Juan Liu, Wei Chen
In this paper, we study joint queue-aware and channel-aware scheduling of arbitrarily bursty traffic over multi-state time-varying channels, where the bursty packet arrival in the…