{"title":"Sum Rate Optimization in STAR-RIS Assisted NOMA-CoMP Networks for IIoT Scenarios","authors":"Yulei Lou;Yulong Zou;Jia Zhu;Hong Wang;Yizhi Li;Hao Hui;Minxian Shen","doi":"10.1109/TVT.2024.3514304","DOIUrl":null,"url":null,"abstract":"In this paper, we consider a downlink non-orthogonal multiple access (NOMA) coordinated multi-point (CoMP) transmission system of industrial Internet for Things (IIoT) scenarios and propose a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted NOMA-CoMP scheme denoted by SRaNC. Specifically, two coordinated multi-antenna base stations (BSs) send information to multiple devices assisted by two STAR-RISs. To improve the transmission rate of the system, a sum rate maximization problem for the joint optimization of the power allocation at BSs and the transmission and reflection coefficients at STAR-RISs is formulated for the proposed SRaNC. To make the problem tractable, we employ the fractional programming (FP) to design an iterative algorithm, which exploits the penalty function and successive convex approximation (SCA). Numerical results demonstrate that the SRaNC scheme outperforms other benchmark schemes in terms of the sum rate. Furthermore, when the total number of antennas at the BSs is large, the allocation of antenna quantity between different BSs has a marginal effect on the sum rate.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 4","pages":"6761-6766"},"PeriodicalIF":7.1000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Vehicular Technology","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10787084/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
In this paper, we consider a downlink non-orthogonal multiple access (NOMA) coordinated multi-point (CoMP) transmission system of industrial Internet for Things (IIoT) scenarios and propose a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted NOMA-CoMP scheme denoted by SRaNC. Specifically, two coordinated multi-antenna base stations (BSs) send information to multiple devices assisted by two STAR-RISs. To improve the transmission rate of the system, a sum rate maximization problem for the joint optimization of the power allocation at BSs and the transmission and reflection coefficients at STAR-RISs is formulated for the proposed SRaNC. To make the problem tractable, we employ the fractional programming (FP) to design an iterative algorithm, which exploits the penalty function and successive convex approximation (SCA). Numerical results demonstrate that the SRaNC scheme outperforms other benchmark schemes in terms of the sum rate. Furthermore, when the total number of antennas at the BSs is large, the allocation of antenna quantity between different BSs has a marginal effect on the sum rate.
期刊介绍：
The scope of the Transactions is threefold (which was approved by the IEEE Periodicals Committee in 1967) and is published on the journal website as follows: Communications: The use of mobile radio on land, sea, and air, including cellular radio, two-way radio, and one-way radio, with applications to dispatch and control vehicles, mobile radiotelephone, radio paging, and status monitoring and reporting. Related areas include spectrum usage, component radio equipment such as cavities and antennas, compute control for radio systems, digital modulation and transmission techniques, mobile radio circuit design, radio propagation for vehicular communications, effects of ignition noise and radio frequency interference, and consideration of the vehicle as part of the radio operating environment. Transportation Systems: The use of electronic technology for the control of ground transportation systems including, but not limited to, traffic aid systems; traffic control systems; automatic vehicle identification, location, and monitoring systems; automated transport systems, with single and multiple vehicle control; and moving walkways or people-movers. Vehicular Electronics: The use of electronic or electrical components and systems for control, propulsion, or auxiliary functions, including but not limited to, electronic controls for engineer, drive train, convenience, safety, and other vehicle systems; sensors, actuators, and microprocessors for onboard use; electronic fuel control systems; vehicle electrical components and systems collision avoidance systems; electromagnetic compatibility in the vehicle environment; and electric vehicles and controls.
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