PIPages
Labs

Negar Reiskarimian

Massachusetts Institute of Technology, MA·Engineering

Phones, satellites, Wi-Fi and billions of connected 'Internet of Everything' devices all share a limited supply of radio spectrum. To get faster, wider-reaching wireless service, networks are expanding into the FR3 band (7–24 GHz) in addition to frequencies below 7 GHz.

Fields

Engineering

Topics

radio-frequency integrated circuits

software-defined radio

interference mitigation

Grants
1 known grant, through May 2028

What they work on

  1. Demonstrate a low-power software-defined radio chip that resists harmonic interference, using a fully passive harmonic-reject mixer and a compact clocking scheme with sub-milliwatt static power.
  2. Design highly selective silicon radio front-ends that simultaneously reject out-of-band interferers and 3rd- and 5th-order harmonic interferers.
  3. Build a 7–24 GHz digital MIMO receiver that blocks interference from specific directions using a widely tunable nonreciprocal phase shifter and a fast automatic notch-steering control loop.

More about the research

As the airwaves grow more crowded, signals from different systems interfere with one another. Receivers need hardware that can stay reliable in this interference.

Why it matters

Wireless networks are becoming crowded with phones, satellites, Wi-Fi and connected devices. Receiver chips that sense and reject interference could keep these systems working reliably in shared and contested spectrum. Interference-resilient chips could help low-power connected devices and high-performance communication systems alike use both the sub-7 GHz and new 7–24 GHz bands.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

High Dynamic-Range Software-Defined Radio Front-Ends for Interference Mitigation in Future RF to mm-Wave Wireless Networks

NSF · Jun 2025 – May 2028

Closest labs

Guevara Noubir

Northeastern University, MA·Engineering

Analyze threats to spectrum sharing from adversaries who use software-defined radios and machine learning to evade detection, including colluding transmitters.

Aatmesh Shrivastava

Northeastern University, MA·Engineering·Early-career

Develop a distributed beamforming technique that combines RF energy from multiple Wi-Fi or Bluetooth-type transmitters and directs it to a remote IoT receiver, using closed-loop optimization between transmitters and receiver.

Junming Diao

Mississippi State University, MS·Engineering·Early-career

Build an Earth-scale distributed radio telescope by synchronizing large numbers of IoT devices, such as smartphones and laptops, as sensor nodes, using embedded signal processing and distributed digital beamforming.

The school

Massachusetts Institute of Technology: 25 labs on PI Pages, $1.1B a year on research, 692 research doctorates a year.

More about Massachusetts Institute of Technology

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