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Qualcomm Research Collaborations

Qualcomm Research engages in a variety of collaborations with fellow researchers at universities worldwide. Engineers from hardware, software, and systems maintain close relationships with key universities to keep track of their latest discoveries and facilitate new collaborations. Additionally, students and faculty can gain exposure to Qualcomm Research through programs like the Qualcomm Innovation Fellowship and Faculty-Mentor-Advisor (FMA) Fellowships, such as the UCSD FMA where faculty and PhD students team up with Qualcomm engineers to compete for one of four 12-month PhD fellowships.

Below are some examples of ongoing collaborations with Qualcomm Research.

Collaborative Interference Management

University: Cornell University   |   Research Area: Connectivity Enhancements   |   Professor: Salman Avestimehr

Dense heterogeneous wireless networks have become an important means for living up to the dramatic growth of wireless data traffic in recent years. The high density makes interference management techniques a critical component of such networks and motivates this collaboration’s aim to develop a new paradigm for interference management. This research is specifically directed to understanding the potential of multi-hop communication techniques in such networks, e.g., by using relays to facilitate interference management between the source/destination pairs. Students have also received Qualcomm Innovation Fellowship in support of this work. A specific communication scheme – Aligned Network Diagonalization – has shown promise under idealized assumptions but faces two key challenges in practice: (1) limited knowledge of channel state information across the network and (2) complexity of operation at the relays. Building on results from previous collaborations with Prof. Salman Avestimehr, this collaboration seeks to overcome these challenges and better understand the practical merits of such communication schemes.

Accelerating 3D Capture of Indoor Environments

University: Stanford   |   Research Area: Application Enablers   |   Professor:Leonidas Guibas

Lack of rich indoor map availability is a barrier to ubiquitous indoor location. This project developed methods for acquisition of indoor models of buildings from sparse visual data using depth sensors. The algorithms built geometric models of indoor objects with their degrees of variation based on a sample set of prototype shapes. The learned models were used to reason about unexplored places. The work leverages the fact that indoor architecture and objects are repetitive. The project built a prototype using a Kinect camera and results were published in the prestigious ICRA and SIGGRAPH Asia conferences.

Heterogeneous Computing: A Unified HW-SW Approach

University: University of Illinois at Urbana-Champaign   |   Research Area: 3G/4G Technologies

Modern Systems-on-a-Chip (SoCs) include a variety of cores, such as CPUs, GPUs, DSPs and other specialized processors. Fast data transfers between different SoC components is a key performance factor, and ensuring that it is done in a power-efficient manner is a challenging problem. This project evaluates redesigning the memory hierarchy of the SoC using a holistic approach. The design includes reconfigurable memory, an unified address space, and software-driven coherence. This tightly coupled memory system avoids unnecessary data movement, therefore extending battery life and improving the performance of the applications. For more information, please visit heterogeneous.cs.illinois.edu.

Qualcomm SWARM Lab at UC Berkeley

University: UC Berkeley   |   Research Area: Internet of Everything (IoE)

The Swarm Lab at UC Berkeley was started in 2011 with Qualcomm. The lab seeks to foster the creation and distribution of exciting applications of large swarms of sensors and actuators through the adoption of an open and universal platform. A number of Qualcomm projects have strong synergies with the Swarm vision, and are engaged with the lab. These include activities in indoor positioning, Internet of Things, new modes of user interaction with devices around us, novel sensor technologies for gesture recognition, and the Swarm OS. For more information, please visit swarmlab.eecs.berkeley.edu.

Fellow-Mentor-Advisor (FMA) Fellowship Program

University: UC San Diego

The Qualcomm Fellow-Mentor-Advisor Fellowship is a 12-month fellowship program for outstanding UCSD Jacobs School of Engineering doctoral students nominated by their Faculty Advisors. The Program brings together teams which include an engineering Ph.D. candidate, his/her faculty advisor and an engineering mentor from Qualcomm. The goal is to foster in-depth connections between the Jacobs School faculty and Qualcomm engineers while enhancing the education of doctoral students. For more information, please visit Jacobs School of Engineering.