Reconfigurable intelligent surfaces for energy efficiency in wireless communication

Επιστημονική δημοσίευση - Άρθρο Περιοδικού uoadl:3035374 20 Αναγνώσεις

Μονάδα:
Ερευνητικό υλικό ΕΚΠΑ
Τίτλος:
Reconfigurable intelligent surfaces for energy efficiency in wireless communication
Γλώσσες Τεκμηρίου:
Αγγλικά
Περίληψη:
The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user communication from a multiantenna base station is investigated in this paper. We develop energy-efficient designs for both the transmit power allocation and the phase shifts of the surface reflecting elements subject to individual link budget guarantees for the mobile users. This leads to non-convex design optimization problems for which to tackle we propose two computationally affordable approaches, capitalizing on alternating maximization, gradient descent search, and sequential fractional programming. Specifically, one algorithm employs gradient descent for obtaining the RIS phase coefficients, and fractional programming for optimal transmit power allocation. Instead, the second algorithm employs sequential fractional programming for the optimization of the RIS phase shifts. In addition, a realistic power consumption model for RIS-based systems is presented, and the performance of the proposed methods is analyzed in a realistic outdoor environment. In particular, our results show that the proposed RIS-based resource allocation methods are able to provide up to 300% higher energy efficiency in comparison with the use of regular multi-antenna amplify-and-forward relaying. © 2019 IEEE.
Έτος δημοσίευσης:
2019
Συγγραφείς:
Huang, C.
Zappone, A.
Alexandropoulos, G.C.
Debbah, M.
Yuen, C.
Περιοδικό:
IEEE Transactions on Wireless Communications
Εκδότης:
Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Τόμος:
18
Αριθμός / τεύχος:
8
Σελίδες:
4157-4170
Λέξεις-κλειδιά:
Antennas; Budget control; Gradient methods; Interlocking signals; Mathematical programming; Mobile telecommunication systems, Amplify-and-forward relaying; Energy-efficient design; Fractional programming; Multiuser communication; Power consumption model; Reflecting elements; Transmit power allocation; Wireless communications, Energy efficiency
Επίσημο URL (Εκδότης):
DOI:
10.1109/TWC.2019.2922609
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