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Channel estimation is one of the main challenges for reconfigurable intelligent surface (RIS) assisted communication systems with passive reflective elements due to the high number of parameters to estimate. In this paper, we consider channel estimation for a MIMO FD RIS-assisted wireless communication system and use tensor (multidimensional array)...
Context in source publication
Context 1
... A ∈ C I×R , B ∈ C J×R , and C ∈ C K×R are called the factor matrices. The r-th column vectors a r ∈ C I , b r ∈ C J , and c r ∈ C K of the factor matrices A, B, and C, respectively, are called the rank-one tensors that sum to X through outer products as depicted in Fig 1. CP decomposition notation is: ...
Citations
The continuous evolution of wireless communication systems has driven the need for innovative signal processing and modeling techniques to enhance their performance, reliability, and scalability. This article explores the integration of advanced signal modeling and processing innovations within wireless communication systems, focusing on the contributions from the field of computer science. Tensor modeling, due to its ability to represent multi-dimensional data, offers a significant advantage in handling the complexities of modern communication systems, such as multi-path fading and interference. Furthermore, advanced signal processing techniques, including machine learning-based methods, are crucial in optimizing wireless networks. This article delves into the theoretical foundations of wireless communication, the application of multi-domain approaches, and the role of signal processing in improving system efficiency.
