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A platform for research: civil engineering, architecture and urbanism
Interference Nulling Using Reconfigurable Intelligent Surface
This chapter studies the interference nulling capability of reconfigurable intelligent surface (RIS) in a user interference channel, where single‐antenna transceiver pairs communicate using the same time and frequency resources. Assuming the availability of channel state information (CSI), it can be shown that the RIS is capable of eliminating all the interference if the channels between the RIS and the transceivers are line of sight and the number of RIS elements is sufficiently large. For an arbitrary set of channel realizations, we present an efficient alternating projection algorithm to solve the interference nulling problem. Simulation results show that the alternating projection algorithm can find an interference nulling solution when the number of RIS elements is slightly larger than . This chapter also addresses the scenario in which the channel is unknown, and a pilot stage is needed to estimate the channel. In this context, we propose a learning‐based approach to learn an initial point for the subsequent alternating optimization algorithm. Simulation results show that the learning‐based approach can achieve a much lower interference level than the random initialization scheme for a fixed pilot length.
Interference Nulling Using Reconfigurable Intelligent Surface
This chapter studies the interference nulling capability of reconfigurable intelligent surface (RIS) in a user interference channel, where single‐antenna transceiver pairs communicate using the same time and frequency resources. Assuming the availability of channel state information (CSI), it can be shown that the RIS is capable of eliminating all the interference if the channels between the RIS and the transceivers are line of sight and the number of RIS elements is sufficiently large. For an arbitrary set of channel realizations, we present an efficient alternating projection algorithm to solve the interference nulling problem. Simulation results show that the alternating projection algorithm can find an interference nulling solution when the number of RIS elements is slightly larger than . This chapter also addresses the scenario in which the channel is unknown, and a pilot stage is needed to estimate the channel. In this context, we propose a learning‐based approach to learn an initial point for the subsequent alternating optimization algorithm. Simulation results show that the learning‐based approach can achieve a much lower interference level than the random initialization scheme for a fixed pilot length.
Interference Nulling Using Reconfigurable Intelligent Surface
Wu, Qingqing (editor) / Duong, Trung Q. (editor) / Ng, Derrick Wing Kwan (editor) / Schober, Robert (editor) / Zhang, Rui (editor) / Jiang, Tao (author) / Sohrabi, Foad (author) / Yu, Wei (author)
2023-12-27
21 pages
Article/Chapter (Book)
Electronic Resource
English