Welcome to SJSU interconnect lab!
interconnect lab, led by Professor Genya Ishigaki, researches next-generation telecommunication networks, with an emphasis on developing combinatorial optimization and machine learning techniques to address problems related to resource allocation. Resource allocation problems appear in many networking contexts including reliability, scalability, and profitability. A fundamental question we are trying to answer is about the tradeoff in resource allocation: How does a network operator balance the maximization of resource utilization and the reservation of spare capacity for future demands? Even though the tradeoff has been a paramount agenda of resource optimization research, the new features introduced for next-generation networking, such as dependency among different network layers, diverse network usages, and unpredictable traffic patterns, present additional challenges to answer the question in 5G and Beyond networks.
Our recent research themes include:
- ML-based 5G Network Resource Pricing
- Accountable Autonomous Network Operation with Explainable AI
- Edge Computing-Oriented Federated Learning
If you are interested in our projects, please look at our research page and publication list.
If you are looking for a research advisor for your thesis project, please check the member page.
News
August 4, 2023 - Publication
Our paper titled “Container Caching Optimization based on Explainable Deep Reinforcement Learning” has been accepted to IEEE Globecom 2023. See the publication section for more details.
May 23, 2023 - Publication
Our paper titled “Reinforcement Learning with Neural Network-based Deterministic Game Tree Approximation” has been accepted to IEEE BigDataService 2023. See the publication section for more details.
April 28, 2023 - Presentation
Divya and Nitin presented at the 18th College of Science Student Research Day!
January 20, 2022 - Publication
Our paper titled “Reinforcement Learning-based Multi-domain Network Slice Provisioning” has been accepted to IEEE ICC 2023. See the publication section for more details.
January 19, 2022 - Publication
Our journal paper titled “Maximizing External Action with Information Provision over Multiple Rounds in Online Social Networks” has been accepted to and will be published in IEICE Transactions on Information and Systems. See the publication section for more details.
April 19, 2022 - Grant
Our research project on Adaptive Network Operation through Explainable Machine Learning was awarded the SJSU RSCA Seed Grant.
January 18, 2022 - Publication
Our paper has been accepted to IEEE ICC 2022. See the publication section for more details.