Reference : Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted Multi-User MISO Systems

	Document type :	Scientific congresses, symposiums and conference proceedings : Poster
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53264

Title :	Hybrid Active-Passive Reconfigurable Intelligent Surface-Assisted Multi-User MISO Systems
Language :	English
Author, co-author :	Nguyen, Nhan T. []
	Nguyen, V.-Dinh []
	Wu, Qingqing []
	Tölli, Antti []
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Juntti, Markku []
Publication date :	4-Jul-2022
Peer reviewed :	Yes
Event name :	2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication (SPAWC)
Event date :	04-06 July 2022
Event organizer :	IEEE
Event place (city) :	Oulu
Event country :	Finland
Abstract :	[en] We consider a multi-user multiple-input single- output (MISO) communications system which is assisted by a hybrid active-passive reconfigurable intelligent surface (RIS). Unlike conventional passive RISs, hybrid RIS is equipped with a few active elements with the ability to reflect and amplify incident signals to significantly improve the system performance. Towards a fairness design, we maximize the minimum rate among all users through jointly optimizing the transmit beamforming vectors and RIS reflecting/amplifying coefficients. Combining tools from block coordinate ascend and successive convex approximation, the challenging nonconvex problem is efficiently solved by a low- complexity iterative algorithm. The numerical results show that a hybrid RIS with 4 active elements out of a total of 50 elements with a power budget of −1 dBm offers an improvement of up to 80% to the considered system, while that achieved by a fully passive RIS is only 27%
Funders :	10.13039/501100002341-Academy of Finland
Permalink :	http://hdl.handle.net/10993/53264
DOI :	10.1109/SPAWC51304.2022.9833956
Other URL :	https://ieeexplore.ieee.org/document/9833956

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