A low-complexity model for IRS-aided beyond 5G wireless networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4040

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DC Field	Value	Language
dc.contributor.author	Mati, Gyana Ranjan	-
dc.contributor.author	Das, Susmita	-
dc.contributor.author	Pradhan, Annapurna	-
dc.date.accessioned	2023-07-14T05:48:09Z	-
dc.date.available	2023-07-14T05:48:09Z	-
dc.date.issued	2023-06	-
dc.identifier.citation	2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, USA, June 12-15, 2023	en_US
dc.identifier.uri	http://hdl.handle.net/2080/4040	-
dc.description	Copyright belongs to the publisher	en_US
dc.description.abstract	The intelligent reflecting surface is a key reflecting mirror in fifth-generation (5G) and beyond 5G communication which ensures enhanced coverage by generating phase shift at the IRS. Solving IRS’s phase shift optimization problem is challenging and non-convex. In this regard, a low complexity model (LCM) is proposed for a multiple-input single-output (MISO) system to optimize passive and active beamforming. Based on initial results, the proposed method estimates IRS phase shifts accurately while being computationally less complex, which will allow it to be studied for multiple users and multiple-input multiple-output (MIMO) systems in the future.	en_US
dc.language.iso	en_US	en_US
dc.publisher	IEEE	en_US
dc.subject	Intelligent reflecting surface	en_US
dc.subject	Received SNR	en_US
dc.subject	Beamforming	en_US
dc.title	A low-complexity model for IRS-aided beyond 5G wireless networks	en_US
dc.type	Article	en_US
Appears in Collections:	Conference Papers

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