Robert Heath

Biography

Dr. Robert W. Heath Jr. joined the Department of Electrical and Computer Engineering at NC State in August 2020. From 2002 to 2020, he was with the University of Texas at Austin where he was involved in the leadership of their wireless group. Dr. Heath is also President and CEO of MIMO Wireless Inc. His research has been extensively funded by industry and government.

Dr. Heath’s research interests include wireless communications cellular systems, public safety, and military networks, with recent applications to vehicular communication systems, 5G, and now 6G.

He has authored or co-authored several books including “Introduction to Wireless Digital Communication” (Prentice Hall, 2017), “Millimeter Wave Wireless Communications” (Prentice Hall, 2014) and “Foundations of MIMO Communication” (Cambridge University Press, 2019).

Education

• Ph.D. 2002
  Electrical Engineering
  Stanford University
• Master's 1997
  Electrical Engineering
  University of Virginia, Charlottesville
• Bachelor's 1996
  Electrical Engineering
  University of Virginia, Charlottesville

Recent Publications

• A Wideband Generalization of the Near-Field Region for Extremely Large Phased-Arrays (2023)
• ADMM-based Solution for mm Wave UL Channel Estimation with One-bit ADCs via Sparsity Enforcing and Toeplitz Matrix Reconstruction (2023)
• Achievable Rate of Near-Field Communications Based on Physically Consistent Models (2023)
• Bandwidth Gain: the Missing Gain of Massive MIMO (2023)
• Circulant Shift-Based Beamforming for Secure Communication With Low-Resolution Phased Arrays (2023)
• Dynamic Network-Assisted D2D-Aided Coded Distributed Learning (2023)
• End-to-end Full-Stack Drone Measurements: A Case Study Using AERPAW (2023)
• Green Joint Communications and Sensing Employing Analog Multi-Beam Antenna Arrays (2023)
• Joint Relay Selection and Beam Management Based on Deep Reinforcement Learning for Millimeter Wave Vehicular Communication (2023)
• Multi-Armed Bandit for Link Configuration in Millimeter-Wave Networks: An Approach for Solving Sequential Decision-Making Problems (2023)