activity
20172021
most citedTowards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach

4 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2021

Recursive Periodicity Shifting for Semi-Persistent Scheduling of Time-Sensitive Communication in 5G

Nan Jiang, Adnan Aijaz, Yichao Jin

Various legacy and emerging industrial control applications create the requirement of periodic and time-sensitive communication (TSC) for 5G/6G networks. State-of-the-art semi-pers…

cs.NI2021

A Self-Configurable Grouping Method for Integrated Wi-SUN FAN and TSCH-based Networks

Xinyu Ni, Michael Baddeley, Nan Jiang +1

Recent applications in large-scale wireless mesh networks (WSN), e.g., Advanced Metering Infrastructure (AMI) scenarios, expect to support an extended number of nodes with higher t…

cs.NI2020

6TiSCH++ with Bluetooth 5 and Concurrent Transmissions

Michael Baddeley, Adnan Aijaz, Usman Raza +5

Targeting dependable communications for industrial Internet of Things applications, IETF 6TiSCH provides mechanisms for efficient scheduling, routing, and forwarding of IPv6 traffi…

cs.MM2020

Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud

Huaizheng Zhang, Yuanming Li, Qiming Ai +4

Combining \underline{v}ideo streaming and online \underline{r}etailing (V2R) has been a growing trend recently. In this paper, we provide practitioners and researchers in multimedi…

cs.MM20174 cited

Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach

Wen Hu, Yichao Jin, Yonggang Wen +2

The emergence of smart Wi-Fi APs (Access Point), which are equipped with huge storage space, opens a new research area on how to utilize these resources at the edge network to impr…