8 citations · 19 across the 7 of their papers we have counts for
6 papers · 1 filter
DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning
Shengjie Zhong, Zhongliang Zhao, Jingxuan Chen +4
Uncrewed aerial vehicle base stations (UAV-BSs) are expected to cover traffic demand that shifts across space and time, yet most repositioning schemes either re-solve an optimizati…
Feeling of Presence Maximization: mmWave-Enabled Virtual Reality Meets Deep Reinforcement Learning
Peng Yang, Tony Q. S. Quek, Jingxuan Chen +2
This paper investigates the problem of providing ultra-reliable and energy-efficient virtual reality (VR) experiences for wireless mobile users. To ensure reliable ultra-high-defin…
RAN Slicing for Massive IoT and Bursty URLLC Service Multiplexing: Analysis and Optimization
Peng Yang, Xing Xi, Tony Q. S. Quek +3
Future wireless networks are envisioned to serve massive Internet of things (mIoT) via some radio access technologies, where the random access channel (RACH) procedure should be ex…
Energy-Efficient Resource Allocation in a Multi-UAV-Aided NOMA Network
Xing Xi, Xianbin Cao, Peng Yang +2
This paper is concerned with the resource allocation in a multi-unmanned aerial vehicle (UAV)-aided network for providing enhanced mobile broadband (eMBB) services for user equipme…
Repeatedly Energy-Efficient and Fair Service Coverage: UAV Slicing (Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing)
Peng Yang, Xing Xi, Tony Q. S. Quek +3
Unmanned aerial vehicle (UAV) networks are convinced as a significant part of 5G and emerging 6G wireless networks. UAV slicing is a promising proposal of converging different serv…
How Should I Orchestrate Resources of My Slices for Bursty URLLC Service Provision?
Peng Yang, Xing Xi, Tony Q. S. Quek +3
Future wireless networks are convinced to provide flexible and cost-efficient services via exploiting network slicing techniques. However, it is challenging to configure network sl…