activity
20132026
most citedAdaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

148 citations · 202 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Toward Quantum Advantage in Learning Parities with Structured Noise via Lower Bound Optimization of the Condition Number

Yusen Han, Xuelian Li, Juntao Gao +1

Learning Parities with Structured Noise (LPSN) can be reduced to solving nonlinear Boolean systems. In quantum computing, such systems are typically transformed into Macaulay linea…

cs.DC2020★ 42 cited

Secure Payment System Utilizing MANET for Disaster Areas

Babatunde Ojetunde, Naoki Shibata, Juntao Gao

Mobile payment system in a disaster area have the potential to provide electronic transactions for people purchasing recovery goods like foodstuffs, clothes, and medicine. Converse…

cs.NI2017★ 5 cited

Multi-Agent Q-Learning Aided Backpressure Routing Algorithm for Delay Reduction

Juntao Gao, Yulong Shen, Minoru Ito +1

In queueing networks, it is well known that the throughput-optimal backpressure routing algorithm results in poor delay performance for light and moderate traffic loads. To improve…

cs.NI2017★ 148 cited

Adaptive Traffic Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network

Juntao Gao, Yulong Shen, Jia Liu +2

Adaptive traffic signal control, which adjusts traffic signal timing according to real-time traffic, has been shown to be an effective method to reduce traffic congestion. Availabl…

cs.NI2016★ 1 cited

Optimal Scheduling for Incentive WiFi Offloading under Energy Constraint

Juntao Gao, Minoru Ito, Norio Shiratori

WiFi offloading, where mobile device users (e.g., smart phone users) transmit packets through WiFi networks rather than cellular networks, is a promising solution to alleviating th…

cs.NI2013★ 6 cited

End-to-End Delay Modeling for Mobile Ad Hoc Networks: A Quasi-Birth-and-Death Approach

Juntao Gao, Yulong Shen, Xiaohong Jiang +2

Understanding the fundamental end-to-end delay performance in mobile ad hoc networks (MANETs) is of great importance for supporting Quality of Service (QoS) guaranteed applications…

cs.NI2013

Source Delay in Mobile Ad Hoc Networks

Juntao Gao, Yulong Shen, Xiaohong Jiang +1

Source delay, the time a packet experiences in its source node, serves as a fundamental quantity for delay performance analysis in networks. However, the source delay performance i…