On Performance of STAR-RIS-Enabled Multiple Two-Way Full-Duplex D2D Communication Systems

This paper investigates performance of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-enabled multiple two-way full-duplex device-to-device (D2D) communication systems over Rayleigh fading channels under optimal and uncertain phase shift alignments. We deriv...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.89063-89071
Main Authors: Nguyen, Tien Hoa, Nguyen, Tien Tung
Format: Article
Language:English
Subjects:
Communications systems
Configurations
Critical point
device-to-device (D2D) communication
Device-to-device communication
Energy efficiency
Ergodic processes
full-duplex
Full-duplex system
Power management
Protocols
Reconfigurable devices
Reflection
Simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs)
Throughput
two-way communication
Wireless communication
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Summary:This paper investigates performance of simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-enabled multiple two-way full-duplex device-to-device (D2D) communication systems over Rayleigh fading channels under optimal and uncertain phase shift alignments. We derive closed-form expressions for outage probability (OP), sum throughput, ergodic capacity (EC) and energy efficiency. To gain insights, we quantify and reveal some useful guidelines for the performance behavior of the OP and the EC, such as diversity order and ergodic slope from high transmit power configuration. In addition, some critical points also deduced for the sum throughput and the system energy efficiency. Moreover, the impacts of the transmit power configurations, RIS deployments, allocating target data rate transmission, and the number of user deployments on the system performance are examined. Finally, we present some extensive simulations using Monte-Carlo method to corroborate the accuracy of the theoretical analysis.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3200834