HIGHLIGHTS
- who: BHARATH SHAMASUNDAR and colleagues from the Department of Electrical Computer Engineering, University of Texas at Dallas, Richardson, TX, USA have published the paper: Channel Training & Estimation for Reconfigurable Intelligent Surfaces: Exposition of Principles, Approaches, and Open Problems, in the Journal: (JOURNAL)
- what: This approach has the potential to address several of the challenges mentioned above. This work provides a thorough exposition of the ideas underlying the rapidly expanding literature on RIS channel estimation, in a way that is both comprehensive and accessible to a wider audience. The sensitivity of sparse recovery to grid mismatch . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.