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Wireless Networking Laboratory (WIN LAB)

Under the leadership of Dr. Mojtaba Vaezi, assistant professor of Electrical and Computer Engineering, the Wireless Networking Laboratory provides the space and resources to carry out research in the general area of wireless communications with an emphasis on 5G and beyond cellular systems, focused on the lower level protocol layers (mainly PHY and MAC layers).

Using tools from statistical signal processing, machine learning, stochastic geometry, etc., the WIN LAB team investigates the theoretical limits of communication systems and applies insights into the design and optimization of emerging wireless networks. Research lies at the intersection of communications, signal processing, and network information theory, and includes:

  • Machine Learning and Deep Learning for Communications 
  • Non-Orthogonal Multiple Access (NOMA)
  • Physical Layer Security
  • Multi-user and Massive MIMO
  • Millimeter Wave Communication

Applications for the WIN LAB research include:

  • Fifth generation (5G) radio access technologies
  • Security of wireless and mobile networks
  • Internet of things (IoT) and sensor networks
  • Smart homes and smart cities


In addition to the computing facilities, major equipment in the WIN LAB includes:

  • USRP-2955: A software defined radio designed for over-the-air signal acquisition and analysis. This 10MHz to 6GHz tunable RF receiver features a two-stage super-heterodyne architecture. It provides an integrated hardware and software solution for rapidly prototyping high-performance wireless receiver systems.
  • MIMO Application Framework: Enables building both point-to-point MIMO and massive MIMO prototypes for wireless applications working on 5G prototyping.


Mojtaba Vaezi, PhD

Mojtaba Vaezi, PhD 

Current PhD Students

Yue Qi
Xinliang Zhang

Open Positions

Undergraduate assistants are sought to carry out research in wireless communications. Students must be undergraduates at Villanova University, have taken, or are currently taking, ECE325 and ECE3770, and be eligible to work in the United States. They will report directly to Dr. Mojtaba Vaezi.