Difference between revisions of "Integrated Information Processing"
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====[[Theory, Algorithms, and Hardware for Beyond 5G|Theory, Algorithms, and Hardware for Beyond 5G]]==== | ====[[Theory, Algorithms, and Hardware for Beyond 5G|Theory, Algorithms, and Hardware for Beyond 5G]]==== | ||
− | The main focus of the IIP Group is on theory, algorithm design, and hardware implementation of new technologies for beyond fifth-generation (5G) wireless communication systems. Most projects focus on emerging communication technologies including massive MIMO, millimeter-wave (mmWave) and terahertz communication, cell-free massive MIMO, intelligent reflective surfaces, | + | The main focus of the IIP Group is on theory, algorithm design, and hardware implementation of new technologies for beyond fifth-generation (5G) wireless communication systems. Most projects focus on emerging communication technologies including massive MIMO, millimeter-wave (mmWave) and terahertz communication, cell-free massive MIMO, intelligent reflective surfaces, ultra low-latency short-packet transmission, and testbed design for massive MIMO prototyping. |
====[[Simultaneous Sensing and Communication|Simultaneous Sensing and Communication]]==== | ====[[Simultaneous Sensing and Communication|Simultaneous Sensing and Communication]]==== |
Revision as of 14:05, 19 August 2020
Integrated Information Processing Group
The Integrated Information Processing (IIP) Group carries out research in the following areas:
Theory, Algorithms, and Hardware for Beyond 5G
The main focus of the IIP Group is on theory, algorithm design, and hardware implementation of new technologies for beyond fifth-generation (5G) wireless communication systems. Most projects focus on emerging communication technologies including massive MIMO, millimeter-wave (mmWave) and terahertz communication, cell-free massive MIMO, intelligent reflective surfaces, ultra low-latency short-packet transmission, and testbed design for massive MIMO prototyping.
Simultaneous Sensing and Communication
Modern wireless systems are equipped with large arrays of parallel radio-frequency (RF) chains. Such RF chains are extremely accurate sensors that can be used not only for high-rate data transmission but also for sensing. Most projects in the realm of the emerging paradigm of simultaneous sensing and communication (SISCO) are on imaging the area next to the antenna array and on classification of user behavior using machine learning techniques.