{"title":"Sum Rate Maximization via STAR-RIS Element Allocation in OFDM Systems","authors":"Jeonghyun Moon;Hyesang Cho;Junil Choi","doi":"10.1109/TVT.2024.3494262","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a sum rate maximization algorithm for a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted multiple-input single-output orthogonal frequency division multiplexing (MISO-OFDM) system, where the proposed algorithm updates the sub-carrier allocation, transmission and reflection coefficients, and sub-carrier power allocation. In specific, the transmission and reflection coefficients of the STAR-RIS are updated through a novel STAR-RIS element allocation technique. The STAR-RIS element allocation technique allocates each element to two sub-carriers, where one sub-carrier serves a single user-equipment (UE) in the transmission region of the STAR-RIS, and the other sub-carrier serves a single UE in the reflection region of the STAR-RIS. Through the element allocation process, the phase coefficients of the STAR-RIS are obtained in closed-form, and the amplitude coefficients of the STAR-RIS, which are to satisfy the law of conservation of energy, are obtained by iteratively solving a properly defined problem that has a closed-form solution, decreasing the complexity of the overall algorithm. Simulation results show that the proposed algorithm achieves high sum rate performance close to an optimization-based benchmark even with low complexity.","PeriodicalId":13421,"journal":{"name":"IEEE Transactions on Vehicular Technology","volume":"74 3","pages":"5199-5204"},"PeriodicalIF":7.1000,"publicationDate":"2024-11-07","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/10747257/","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}
引用次数: 0
Abstract
In this paper, we propose a sum rate maximization algorithm for a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted multiple-input single-output orthogonal frequency division multiplexing (MISO-OFDM) system, where the proposed algorithm updates the sub-carrier allocation, transmission and reflection coefficients, and sub-carrier power allocation. In specific, the transmission and reflection coefficients of the STAR-RIS are updated through a novel STAR-RIS element allocation technique. The STAR-RIS element allocation technique allocates each element to two sub-carriers, where one sub-carrier serves a single user-equipment (UE) in the transmission region of the STAR-RIS, and the other sub-carrier serves a single UE in the reflection region of the STAR-RIS. Through the element allocation process, the phase coefficients of the STAR-RIS are obtained in closed-form, and the amplitude coefficients of the STAR-RIS, which are to satisfy the law of conservation of energy, are obtained by iteratively solving a properly defined problem that has a closed-form solution, decreasing the complexity of the overall algorithm. Simulation results show that the proposed algorithm achieves high sum rate performance close to an optimization-based benchmark even with low complexity.
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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