Research  |  Projects

CNL (Communications and Networking Laboratory) covers Wireless AI technologies and Wireless Connectivity protocols for 5G/6G, IoT, and Vehicle networks. Research topics are

Wireless AI - AI Empowered 5G/6G, IoT, and Smart Car:
  • AI for wireless communications
    • AI for resource allocation, scheduling, and transmit control, e.g., channel allocation, power and rate control
    • AI for physical layer issues, e.g., channel estimation, interference alignment,
    • AI for CSI feedback and channel estimation
  • AI for emerging networks and simulations
    • AI in emerging networks, e.g., wireless powered networks, UAVs, URLLC, V2X, etc.
    • AI for network coexistence, e.g., HetNet, cognitive radio, device-to-device networks
    • Testbed, experiments, and simulations of AI in communications and networking

AI in wireless communications: Artificial intelligence (AI), which learns from the perceived environment and can exploit the increasingly massive datasets available from wireless systems, can be used to solve complex and previously intractable problems. Many problems in wireless communication systems, such as decision making, resource optimization, and network management, can be cast in a form that is suitable to be solved by AI techniques. Hence, AI technologies have been applied to improve the performance of future wireless communication systems. We focus on the design of AI empowered PHY, MAC, and network layers for 6G.
Machine learning (ML) for wireless resource allocation, CSI feedback, and interference mitigation: Resource management problems in systems and networking often manifest as difficult online decision making tasks where appropriate solutions depend on understanding the workload and environment. We apply recent AI technologies to wireless networks.
Deep reinforcement learning (DRL) for wireless and mobile networking: The integration of DRL into future wireless networks will revolutionize the conventional model-based network optimization to model-free approaches and meet various application demands. By interacting with the environment, DRL provides an autonomous decision-making mechanism for the network entities to solve non-convex, complex model-free problems, e.g., spectrum access, handover, scheduling, caching, data offloading, and resource allocation.

AI empowered 6G
RNN-based Solution for 5G Massive MIMO Reconfigurable Deep Learning Framework for AI-aided 5G BS systems
CNL's Machine Learning for Wireless Networks CNL's Machine Learning Simulator (developing '19)

Wireless Connectivity - Radio access technologies for 5G/6G, IoT, and Vehicle Networks:
  • Cellular connectivities for 5G/6G
    • NR Technologies for 5G
    • Massive multiple-input multiple-output (MIMO)
    • Interference cancellation, interference alignment, and interference mitigation
  • IoT connectivities: NB-IoT, LoRa, BT, Wi-Fi
    • Massive connectivities and device discovery
    • Power saving and low cost/complexity technologies
    • Coexistence of Bluetooth and Wi-Fi
  • Vehicle-to-everything (V2X)
    • Network assisted autonomous driving, Network assisted Cooperative Adaptive Cruise Control (CACC)
    • C-V2X (Cellular-V2X): LTE-based V2V, V2I, and V2P; 5G-V2X
    • C-ITS (Cooperative Intelligent Transport Systems): Wireless access for vehicular environments (WAVE), IEEE 802.11p+IEEE 1609.x, ETSI C2C, etc.
  • Securitiy and Blockchain
    • Protection for smart key and connected car security
    • V2X security and IoT device authentication and security
    • Blockchain consensus algorithm and mining vulnerability

Cellular connectivities and Interference mitigation in HetNet cover architectures and protocols for 5G/6G wiereless communications and networking. Research topics are learning-based radio resource management, NR technologies for 5G and beyond, multiple-input multiple-output (MIMO), device-to-device communications, etc.
IoT connectivities cover NB-IoT, LoRa, Wi-Fi, and Bluetooth. Research topics are response time and energy efficiency of IoT devices discovery; wireless access and communications technologies; conectivity and clustering; network platforms; coexistance of BT/Wi-Fi in the crowded 2.4GHz networks; and qalfication and improvement of audio chooping over bluetooth A2DP.
Vehicle-to-everything (V2X): Vehicle communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Research topics are cellular-V2X and WAVE-based V2X (C-ITS) for autonomous driving and cooperative adaptive cruise control (CACC); and massive BDMA and radio resource management for vehicle communications.
Securitiy and Blockchain: Securitiy issues in the wireless communications, e.g., Bluetooth, Connected Car, Car Smart Key, Smart Home Remote Control, Wi-Fi, etc. Credible, economical, efficient and effective security and privacy for distributed devices are required to ensure exact and accurate confidentiality, integrity, authentication, and access control, among others. Security research topics are IoT security, vechicle and network security, and Blockchain security. Blockchain is a shared immutable ledger for recording the history of transactions. A business blockchain, such as the Linux Foundation's Hyperledger Project, provides a permissioned network with known identities. Blockchain is a technology uniquely suited to support massive number of transactions and smart contracts within the Internet of Things (IoT) ecosystem, thanks to the decentralized accounting mechanism.

The roadmap of 6G
5G Networks MIMO-Nonorthogonal Multiple Access
for 5G and Beyond
    LTE Simulator developed by CNL
Celluar-V2X and WAVE-V2X SUMO-based Autonomous Driving Connectivity
developed by CNL
developed by CNL
Real Wi-Fi Traffic Generator App
developed by CNL
Blockchain IoT Security Channel correlation-based relay attack avoidance
in vehicle keyless-entry systems developed by CNL