activity
20172021
most citedAdaptive Streaming of 360 Videos with Perfect, Imperfect, and Unknown FoV Viewing Probabilities in Wireless Networks

25 citations · 53 across the 12 of their papers we have counts for

collaborators

24 papers

cs.MM202125 cited

Adaptive Streaming of 360 Videos with Perfect, Imperfect, and Unknown FoV Viewing Probabilities in Wireless Networks

Lingzhi Zhao, Ying Cui, Zhi Liu +2

This paper investigates adaptive streaming of one or multiple tiled 360 videos from a multi-antenna base station (BS) to one or multiple single-antenna users, respectively, in a mu…

eess.SP2021

Power-Efficient Wireless Streaming of Multi-Quality Tiled 360 VR Video in MIMO-OFDMA Systems

Chengjun Guo, Lingzhi Zhao, Ying Cui +2

In this paper, we study the optimal wireless streaming of a multi-quality tiled 360 virtual reality (VR) video from a multi-antenna server to multiple single-antenna users in a mul…

cs.MM20211 cited

Optimal Transmission of Multi-Quality Tiled 360 VR Video in MIMO-OFDMA Systems

Chengjun Guo, Ying Cui, Zhi Liu +1

In this paper, we study the optimal transmission of a multi-quality tiled 360 virtual reality (VR) video from a multi-antenna server (e.g., access point or base station) to multipl…

cs.IT20201 cited

Optimal Streaming of 360 VR Videos with Perfect, Imperfect and Unknown FoV Viewing Probabilities

Lingzhi Zhao, Ying Cui, Chengjun Guo +1

In this paper, we investigate wireless streaming of multi-quality tiled 360 virtual reality (VR) videos from a multi-antenna server to multiple single-antenna users in a multi-carr…

cs.IT20201 cited

Optimal Wireless Streaming of Multi-Quality 360 VR Video by Exploiting Natural, Relative Smoothness-enabled and Transcoding-enabled Multicast Opportunities

Kaixuan Long, Ying Cui, Chencheng Ye +1

In this paper, we would like to investigate optimal wireless streaming of a multi-quality tiled 360 virtual reality (VR) video from a server to multiple users. To this end, we prop…

cs.MA2020

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

Pengyuan Zhou, Xianfu Chen, Zhi Liu +3

The Internet of Vehicles (IoV) enables real-time data exchange among vehicles and roadside units and thus provides a promising solution to alleviate traffic jams in the urban area.…