Effective Capacity Analysis of Delay-Constrained STAR-RIS Assisted BAC-NOMA Systems
Targeting the delay-constrained Internet-of-Things (IoT) applications in sixth-generation (6G) networks, in this paper, we study the integration of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) and non-orthogonal multiple access-based backscatter communic...
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Published in | IEEE International Conference on Communications (2003) pp. 5793 - 5798 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
28.05.2023
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Subjects | |
Online Access | Get full text |
ISSN | 1938-1883 |
DOI | 10.1109/ICC45041.2023.10279063 |
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Abstract | Targeting the delay-constrained Internet-of-Things (IoT) applications in sixth-generation (6G) networks, in this paper, we study the integration of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) and non-orthogonal multiple access-based backscatter communication (BAC-NOMA) under statistical delay quality-of-service (QoS) requirements. In particular, we derive the closed-form expressions for the effective capacity of the STAR-RIS assisted BAC-NOMA system under Nakagami-m fading channels and energy-splitting protocol of STAR-RIS. Our simulation results demonstrate the effectiveness of STAR-RIS over the conventional RIS (C-RIS) and show an excellent correlation with analytical results, validating our analysis. The results reveal that the stringent QoS constraint degrades the effective capacity; however, the system performance can be improved by increasing the STAR-RIS elements and adjusting the energy-splitting coefficients. Finally, we determine the optimal pair of power reflection coefficients subject to the per-BSN effective capacity requirements. |
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AbstractList | Targeting the delay-constrained Internet-of-Things (IoT) applications in sixth-generation (6G) networks, in this paper, we study the integration of simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) and non-orthogonal multiple access-based backscatter communication (BAC-NOMA) under statistical delay quality-of-service (QoS) requirements. In particular, we derive the closed-form expressions for the effective capacity of the STAR-RIS assisted BAC-NOMA system under Nakagami-m fading channels and energy-splitting protocol of STAR-RIS. Our simulation results demonstrate the effectiveness of STAR-RIS over the conventional RIS (C-RIS) and show an excellent correlation with analytical results, validating our analysis. The results reveal that the stringent QoS constraint degrades the effective capacity; however, the system performance can be improved by increasing the STAR-RIS elements and adjusting the energy-splitting coefficients. Finally, we determine the optimal pair of power reflection coefficients subject to the per-BSN effective capacity requirements. |
Author | Mahmood, Aamir Gidlund, Mikael Jung, Haejoon Hassan, Syed Ali Basharat, Sarah |
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Snippet | Targeting the delay-constrained Internet-of-Things (IoT) applications in sixth-generation (6G) networks, in this paper, we study the integration of... |
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SubjectTerms | Backscatter communication (BackCom) Closed-form solutions Delays effective capacity non-orthogonal multiple access (NOMA) Protocols Quality of service Reflection coefficient Simulation simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) System performance |
Title | Effective Capacity Analysis of Delay-Constrained STAR-RIS Assisted BAC-NOMA Systems |
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