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End-to-End Throughput Maximization Oriented Resource Allocation in RIS-Assisted mmWave IABN Using Non-Orthogonal Multiple Access | |
Wang, Yajing1; He, Guiqing1; Yang, Bo2; Hao, Zhanjun3; Guo, Qun4; Ma, Zhongyu3 | |
2024 | |
发表期刊 | IEEE Internet of Things Journal |
页码 | 1-1 |
摘要 | Millimeter-wave integrated access and backhaul network (mmWave IABN) is a cost-effective paradigm to accommodate the ever-increasing demands of IoT devices, but its sensitivity to the obstructions is an obstacle in the practical commercial applications. Reconfigurable intelligent surface (RIS) is an innovation enabler to proactively manipulate the ambient environment in a programmable manner for the overall performance enhancement. In this paper, the resource allocation of the RIS-assisted mmWave IABN is conceived and designed to maximize the end-to-end throughput. Firstly, the end-to-end throughput maximization oriented resource allocation problem including transmission power controlling, phase-shift manipulation, and bandwidth allocation is formulated as a non-linear and non-convex programming problem, which is intractable to search an optimal solution in polynomial time. Secondly, the formulated original problem is equivalently decomposed into two subproblems to obtain a sub-optimal solution, i.e., the joint optimization subproblem of transmission power controlling at the users and phase-shift manipulation at the RIS, and the bandwidth allocation subproblem between the access part and the backhaul part. Thirdly, a decomposition iteration based resource allocation mechanism (DIRAM) is proposed, and the DIRAM is composed of two phases, which is the alternative iteration based optimization scheme of power controlling and phase-shift manipulation (AIOS-PCPM) to obtain the optimal solution of the first subproblem, and the piecewise statistical based bandwidth allocation (PSBA) scheme to obtain the optimal solution of the second subproblem. Finally, the properties of the proposed DIRAM are evaluated through abundant of simulation comparisons with other baselines, where the superiorities of the proposed DIRAM are verified in terms of spectral efficiency and end-to-end throughput. IEEE |
关键词 | Bandwidth Convex optimization Cost effectiveness Internet of things Millimeter waves Optimal systems Polynomial approximation Power control Spectrum efficiency Throughput Access network Backhaul networks End-to-end throughput Integrated access Integrated access and backhaul network Millimeterwave communications NOMA Reconfigurable Reconfigurable intelligent surface Resource management Resources allocation Wireless communications |
DOI | 10.1109/JIOT.2024.3383235 |
收录类别 | EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20241415844535 |
EI主题词 | Resource allocation |
EI分类号 | 711 Electromagnetic Waves ; 711.2 Electromagnetic Waves in Relation to Various Structures ; 716.1 Information Theory and Signal Processing ; 722.3 Data Communication, Equipment and Techniques ; 723 Computer Software, Data Handling and Applications ; 731.3 Specific Variables Control ; 911.2 Industrial Economics ; 912.2 Management ; 921.6 Numerical Methods ; 961 Systems Science |
原始文献类型 | Article in Press |
EISSN | 2327-4662 |
引用统计 | 无
|
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/170261 |
专题 | 电气工程与信息工程学院 |
作者单位 | 1.School of Electronic Information, Northwestern Polytechnical University, Xi’an, P. R. China; 2.School of Computer Science, Northwestern Polytechnical University, Xi’an, P. R. China; 3.College of Computer Science and Engineering, Northwest Normal University, Lanzhou, P. R. China; 4.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, P. R. China |
推荐引用方式 GB/T 7714 | Wang, Yajing,He, Guiqing,Yang, Bo,et al. End-to-End Throughput Maximization Oriented Resource Allocation in RIS-Assisted mmWave IABN Using Non-Orthogonal Multiple Access[J]. IEEE Internet of Things Journal,2024:1-1. |
APA | Wang, Yajing,He, Guiqing,Yang, Bo,Hao, Zhanjun,Guo, Qun,&Ma, Zhongyu.(2024).End-to-End Throughput Maximization Oriented Resource Allocation in RIS-Assisted mmWave IABN Using Non-Orthogonal Multiple Access.IEEE Internet of Things Journal,1-1. |
MLA | Wang, Yajing,et al."End-to-End Throughput Maximization Oriented Resource Allocation in RIS-Assisted mmWave IABN Using Non-Orthogonal Multiple Access".IEEE Internet of Things Journal (2024):1-1. |
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