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南京邮电大学通信与信息工程学院,江苏 南京 210003
[ "陈沿明(1985- ),男,江苏宿迁人,南京邮电大学博士生,主要研究方向为无线通信系统性能优化、无线供电与反向散射通信等。" ]
[ "吕斌(1989- ),男,江苏连云港人,博士,南京邮电大学副教授、硕士生导师,主要研究方向为网络性能优化、无线供电通信等。" ]
[ "杨震(1961- ),男,江苏武进人,博士,南京邮电大学教授、博士生导师,主要研究方向为无线通信与网络信号处理、语音处理与现代语音通信等。" ]
[ "李飞(1966- ),女,湖南长沙人,博士,南京邮电大学教授、博士生导师,主要研究方向为智能通信、量子智能计算等。" ]
收稿日期:2024-07-19,
修回日期:2024-11-12,
纸质出版日期:2024-12-25
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陈沿明,吕斌,杨震等.STAR-RIS辅助的无源物联网上行和速率最大化研究:SDMA对比NOMA[J].通信学报,2024,45(12):1-15.
CHEN Yanming,LYU Bin,YANG Zhen,et al.Research on uplink sum-rate maximization for STAR-RIS assisted batteryless IoT: SDMA versus NOMA[J].Journal on Communications,2024,45(12):1-15.
陈沿明,吕斌,杨震等.STAR-RIS辅助的无源物联网上行和速率最大化研究:SDMA对比NOMA[J].通信学报,2024,45(12):1-15. DOI: 10.11959/j.issn.1000-436x.2024207.
CHEN Yanming,LYU Bin,YANG Zhen,et al.Research on uplink sum-rate maximization for STAR-RIS assisted batteryless IoT: SDMA versus NOMA[J].Journal on Communications,2024,45(12):1-15. DOI: 10.11959/j.issn.1000-436x.2024207.
为了解决可重构智能表面(RIS)辅助无源物联网存在的半空间限制以及信息传输效率低问题,提出了一种同时透射和反射的RIS(STAR-RIS)辅助传输方案。在无源设备(BD)与访问接入点间部署STAR-RIS,以协助BD向访问接入点传输信息,实现BD的全空间分布。此外,在配置多天线的能量站构建波束成形以提高入射信号的强度。为了最大化系统和速率,分别基于空分多址接入(SDMA)和非正交多址接入(NOMA),考虑了BD反射系数、波束成形矢量和STAR-RIS元件系数联合优化问题。为求解SDMA方式下优化问题,提出了一种基于块坐标下降(BCD)框架的迭代算法。针对NOMA方式下优化问题的非凸性,将目标函数转化为易于求解的形式,并提出另一种基于BCD框架的迭代算法。仿真结果表明,在相同多址方式下,所提方案的性能优于参照方案;在相同方案下,NOMA系统的性能优于SDMA系统。
To address the limitations of half-space coverage
low information transmission efficiency of RIS assisted batteryless IoT
a STAR-RIS assisted transmission scheme was proposed. Specifically
a STAR-RIS was deployed between the batteryless device (BD) and the access point
facilitating the uplink information transmission from the BD to the access point
thereby achieving full-space network coverage of the BD. To further enhance energy transmission efficiency
energy beamforming was designed at the power station. To this end
the system sum-rate maximization problems for both space division multiple access (SDMA) and non-orthogonal multiple access (NOMA) scenarios were investigated
with jointly optimization of the relection coefficients of the BD
the energy beamforming vector at the base station and the coefficient matrices of the STAR-RIS. For the SDMA scenario
an iterative algorithm based on the block coordinate descent (BCD) framework was proposed to solve the optimization problem. Similarly
to address the non-convexity of the optimization problem in the NOMA scenario
the objective function was transformed to simplify its solution
and another iterative algorithm based on the BCD framework was proposed. Numerical results show the superiorities of the proposed schemes over the benchmark schemes. Moreover
the utilization of the NOMA achieves better performance than the SDMA.
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