STAR-RIS Enhanced Finite Blocklength Transmission for Uplink NOMA Networks

A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted uplink non-orthogonal multiple access (NOMA) framework for finite blocklength (FBL) transmission is proposed. Considering the different communication requirements of Internet of Things devices (IoTDs)...

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Vydáno v:IEEE transactions on communications Ročník 72; číslo 1; s. 1
Hlavní autoři: Lv, Suyu, Xu, Xiaodong, Han, Shujun, Liu, Yuanwei, Zhang, Ping, Nallanathan, Arumugam
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Finite blocklength (FBL) transmission
Integer programming
Internet of Things
Internet of things (IoT)
Iterative methods
Mixed integer
NOMA
non-orthogonal multiple access (NOMA)
Nonorthogonal multiple access
Optimization
Protocols
Reliability
simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)
Switches
Transmission
Uplink
Uplinking
ISSN:0090-6778, 1558-0857
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Shrnutí:A simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted uplink non-orthogonal multiple access (NOMA) framework for finite blocklength (FBL) transmission is proposed. Considering the different communication requirements of Internet of Things devices (IoTDs), a novel design to achieve high-rate and low-error is proposed. Two operating protocols for STAR-RIS are considered, namely energy splitting (ES) and mode switching (MS). 1) For STAR-RIS with ES, an alternating optimization (AO) algorithm is proposed to handle the highly-coupled mixed integer programming problem. More particularly, a low-complexity received-signal-strength-based device pairing scheme is proposed. Based on the given device pair, the closed-form solutions for the power allocation problem are obtained. The transmitting and reflecting coefficient optimization problem is solved by exploiting the successive convex approximation and semidefinite relaxation methods. 2) For STAR-RIS with MS, a double-layer penalty-based (DLPB) algorithm is proposed to tackle the newly introduced binary amplitude constraints. Numerical results reveal that: i) the proposed AO and DLPB algorithms can converge within a few iteration times; ii) the FBL transmission performance can be improved by employing the proposed STAR-RIS framework compared with conventional transmitting/reflecting-only RISs; iii) NOMA is capable of enhancing FBL rate while guaranteeing the reliability constraints compared with orthogonal multiple access.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2023.3322173