📖Program Curriculum
Project details
While the world is stepping into the 5G era, the demands for higher data throughput and more security will never stop. This requires more efficient signal processing techniques in communications. During the past decades, various advanced signal processing techniques have been proposed, which include mass MIMO, new modulation scheme, full-duplex transmission, cooperative networks etc.
These approaches are all in the traditional physical domain so that the performance is limited to physical constraints such as the available spectrum resources and sizes of the devices. This motives researchers to seek solutions beyond the physical domain such as the social network and content-aware data dissemination. While exploring beyond the physical domain shows an attractive scheme in communications, it also brings great challenge. Particularly with the information other than in the physical domain, traditional resource managements can easily see the underline models no longer valid or the optimization tasks computationally prohibitive.
In this project, we will investigate machine learning approaches to address these challenges, because the machine learning has the capability to ‘learn’ from complicated system and make the ‘optimum’ decision. The developed technologies would bring new thinking in the signal processing in communications.
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