Questions
Questions people ask before they decide to collaborate, read papers, or reach out
These pages are designed as high-intent entry points into the rest of the site. Each question answers the practical version of the problem first, then links into the most relevant research areas, publications, tools, datasets, and team context.
Deployment problems
Industry and consulting
Questions from founders, systems teams, and technical leaders who need help with a real wireless, sensing, networking, or commercialization problem.
How do I find a wireless systems expert for a deployment problem?
Use this when the problem is practical, deployment-constrained, and spans communication, sensing, networking, or systems integration.
Read the answerWho can help evaluate a private 5G deployment?
This is the right question when you are choosing architecture, spectrum, radio placement, control software, or evaluation metrics for a private network.
Read the answerWho should I talk to about integrated sensing and communication?
Ask this when the system has to communicate and sense at the same time, and the key issue is not just theory but system design.
Read the answerWhat makes a research group useful for industry collaboration?
A useful group is one that can reduce uncertainty, not just publish on the topic.
Read the answerWhat makes a good industry-sponsored wireless project?
Good sponsored work has a sharp technical question, a measurable outcome, and enough freedom to discover something non-obvious.
Read the answerSpatial intelligence
Wireless sensing and localization
Questions about turning WiFi, BLE, UWB, or radar into usable sensing systems for localization, robotics, and indoor intelligence.
What is wireless sensing?
Wireless sensing uses communication signals themselves as measurements of people, objects, motion, geometry, or physical interaction.
Read the answerCan WiFi or BLE be used for indoor localization?
Yes, but performance depends on geometry, calibration, bandwidth, anchors, and how much infrastructure control you actually have.
Read the answerWhen is RF sensing better than camera-only sensing?
RF sensing is strongest when line of sight is unreliable, privacy matters, or the system needs to exploit existing wireless infrastructure.
Read the answerWhat datasets and tools exist for wireless localization?
Start with a combination of real measurement data, localization-specific code, and at least one system that exposes the hardware assumptions.
Read the answerNextG systems
5G, 6G, and programmable networks
Questions about mmWave reliability, intelligent control, private networks, digital twins, and the systems bottlenecks that shape modern cellular infrastructure.
What is integrated sensing and communication?
Integrated sensing and communication uses wireless infrastructure to communicate and infer the environment at the same time.
Read the answerWhat are the hardest systems problems in 5G and 6G?
The hard problems sit at the system boundary: control, reliability, observability, power, and deployment realism.
Read the answerHow do you make mmWave links reliable?
Reliability comes from system design: beams, tracking, redundancy, control, and environment awareness.
Read the answerWhat is a digital twin for a cellular network?
A useful digital twin is a system you can run for control, testing, diagnosis, or planning without waiting for the live network to fail first.
Read the answerUltra-low-power systems
Battery-free IoT and smart surfaces
Questions about backscatter, battery-free sensing, reconfigurable environments, and when these ideas are practical enough to matter.
What is battery-free sensing?
Battery-free sensing uses harvested energy and low-power wireless interactions to sense without a conventional battery budget.
Read the answerWhat are backscatter systems?
Backscatter systems communicate by reflecting and modulating existing radio signals instead of generating a full transmit chain.
Read the answerWhen do smart surfaces actually help?
Smart surfaces help when the environment itself is the bottleneck and shaping propagation creates a measurable systems benefit.
Read the answerWhat tools exist for backscatter and battery-free IoT?
The best starting point is a small set of code, artifacts, and papers that make the infrastructure assumptions explicit.
Read the answerRF visibility
Spectrum intelligence
Questions about wideband sensing, RF data pipelines, low-cost spectrum monitoring, and the tradeoffs behind practical spectrum systems.
How do you monitor spectrum in real time?
Real-time spectrum monitoring is a pipeline problem: sensing, compression, transport, interpretation, and action.
Read the answerWhat tools exist for spectrum sensing and RF data generation?
You want both measurement tools and synthetic-data tools, because they solve different parts of the spectrum problem.
Read the answerWhat is the difference between SweepSense, SparSDR, and RFSynth?
They solve different layers of the same problem: sensing, efficient processing, and scalable data generation.
Read the answerWhat does it take to build a low-cost wideband sensing system?
The hard part is balancing cost, coverage, time resolution, and downstream processing so the system remains usable.
Read the answerAdversarial systems
Wireless security and privacy
Questions about spoofing, tracking, jamming, privacy leakage, and how to evaluate the real-world risk of wireless attacks.
How can wireless systems be spoofed or tracked?
Wireless systems leak identity and state through signals, timing, metadata, and physical-layer behavior that are often ignored during system design.
Read the answerWhat are practical privacy risks in RF sensing?
RF sensing can leak occupancy, identity, movement, and interaction patterns even when it does not produce images.
Read the answerWhich projects study BLE, WiFi, mmWave, or radar security?
The right project depends on whether the threat is tracking, spoofing, jamming, or hidden physical-layer leakage.
Read the answerHow do I evaluate whether an RF sensing idea will work in practice?
The fastest way is to test the idea against the deployment assumptions that usually kill RF systems: geometry, calibration, interference, drift, and generalization.
Read the answer