Researching the World of Wireless Communications

5G is poised to reshape the technological world, as we know it.  A new wave of applications is on the horizon; including Connected Health, Smart Transportation, new immersive media experiences, better data collection and analytics, and the Internet of Things (IoT), a “smart “ connected world at the confluence of sensing technologies and machine learning. Just as important is the quest for low-power, low-cost circuitry and affordable phased-arrays for 5G applications. These cutting edge projects are the focus of our research here at the Center for Wireless Communications at UC San Diego.

Student Research

Current CWC Research Projects


The project consists of five parts that are separate but are related in that they will develop critical circuits for 5G mobile communications and low power sensors. Part 1 is improving output power, efficiency and linearity of power amplifier (PA) ICs for 28GHz operation. Part 2 is continuing the development of a new frequency-to-digital converter (FDC) based digital PLL architecture via new digital and time-based analog signal processing enhancement techniques. Part 3 is developing ultra-low power circuits and sensors for future IoT biosensors. Part 4 is implementing integrated circuits that sense and wirelessly communicate information from the body while being powered by a multi-input energy aggregating harvester. And Part 5 is continuing the development of phased-arrays for 5G communication links capable of handling Gbps.


Connected Health

The Connected Health program at UC San Diego seeks to enable radical changes in the delivery of health care, from today’s reactive care models to a next-generation of proactive, continuous and personalized care using innovations in wireless Internet of Medical Things (IoMT) including novel medical devices and applications, together with innovations in AR/VR, machine vision and artificial intelligence, edge/cloud computing and wireless IoMT communications.


Connected and Autonomous Vehicles

We envision the need for a novel and completely collaborative approach for safer, more efficient and eco-friendly commutes in addition to current day V2V propositions. Real-time streaming data from multiple participants - vehicles, pedestrians and smart street IoTs (like smart traffic lights and pedestrian crossings) - when aggregated, fused and analyzed can provide an accurate, complete and dynamic street situational awareness to all the street participants, leading to collaborative and personalized guidance and advanced warnings services. As part of the ‘Enabling Collaborative Awareness for Assisted and Autonomous Driving’ project, we are creating a collaborative data fusion and machine vision/learning platform as well as a novel computing and communication architecture and testbed to support the collaborative platform.


Wireless AR/VR

We are developing techniques to enable a truly portable and mobile VR/AR experience, with lightweight VR/AR glasses wirelessly connecting with edge/cloud computing devices that perform the rendering remotely. Our projects explore and develop techniques to enable three Degrees of Freedom (3DoF) and six Degrees of Freedom (6DoF) immersive experiences, with both natural videos and AR/VR applications, addressing both the ultra-high throughput and ultra-low latency requirements of such applications.