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智能反射面室内部署的位置规划方法

王文鼐 耿心怡 余锦涵 吴炜 王斌

王文鼐, 耿心怡, 余锦涵, 吴炜, 王斌. 智能反射面室内部署的位置规划方法[J]. 电子与信息学报, 2024, 46(4): 1314-1320. doi: 10.11999/JEIT230414
引用本文: 王文鼐, 耿心怡, 余锦涵, 吴炜, 王斌. 智能反射面室内部署的位置规划方法[J]. 电子与信息学报, 2024, 46(4): 1314-1320. doi: 10.11999/JEIT230414
WANG Wennai, GENG Xinyi, YU Jinhan, WU Wei, WANG Bin. A Placement Planning Scheme of Intelligent-Reflecting-Surface for In-door Deployment[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1314-1320. doi: 10.11999/JEIT230414
Citation: WANG Wennai, GENG Xinyi, YU Jinhan, WU Wei, WANG Bin. A Placement Planning Scheme of Intelligent-Reflecting-Surface for In-door Deployment[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1314-1320. doi: 10.11999/JEIT230414

智能反射面室内部署的位置规划方法

doi: 10.11999/JEIT230414
详细信息
    作者简介:

    王文鼐:男,教授,研究方向为无线宽带通信网络、网络仿真与性能评估

    耿心怡:女,硕士生,研究方向为无线宽带通信网络

    余锦涵:男,硕士生,研究方向为无线宽带通信网络

    吴炜:女,博士,助教,研究方向为无线宽带通信网络

    王斌:男,副教授,研究方向为无线宽带通信网络

    通讯作者:

    王文鼐 wangwn@njupt.edu.cn

  • 中图分类号: TN915

A Placement Planning Scheme of Intelligent-Reflecting-Surface for In-door Deployment

  • 摘要: 智能反射面(IRS/RIS)应用于实际无线通信系统时,如何优选布放位置及面板取向,是提升技术实效所面临的主要问题之一。RIS布放的数学规划问题,不仅有优化目标的设计,还要考虑通信环境的建筑物分布和可选部署面的有效散射截面。相比于室外较为开放的空间,RIS的室内部署存在更多限制性条件。针对室内既有墙面的RIS布放,该文设计了多终端接入选址规划模型和等价问题。为约化其非线性计算,通过单终端退化分析,给出目标函数的卡西尼卵形线分布特征,证明RIS布放范围限于各终端及基站在部署面投影的重叠区,提出基于对半搜索法的高效启发式算法。数值仿真了2种复杂室内结构的多终端接入场景,结果表明所提算法不仅有显著加速效益,还可扩展用于多RIS网络规划。
  • 图  1  RIS级联信道示意图(BLK为LOS遮挡物)

    图  2  RIS级联信道fQ等值线图(虚线对应b = ±0.5 m)

    图  3  BS和UE至RIS部署可行区的投影示例

    图  4  RIS 室内部署(测例A)平面图

    图  5  RIS部署效果对比(插图示意UE相对位置)

    图  6  测例A究举(BF,总计495步)和对半搜索(BS,总计8步)的计算对比

    图  7  测例A计算得到的fQ (x) 随权重w的变化关系

    图  8  两个RIS联级的计算示例(小球表示BS,上方3个、中间2个小立方表示UE、天花板和墙面上小立方表示RIS)

    1  RPP启发式搜索算法(RPP-HS)伪代码

    - 输入:R[j], j∈[1,N] //UE位置坐标
    F //RIS部署可行区
    N //UE总数
    EPS //计算精度
    输出:R[0] //RIS最优位置
    0 RPP-HS (R,F,N,EPS) {
    1  dm = 0; S = F; R[0] = vec3d(0); //初始化
    2  p[0],c[0],d[0] = proj(R[0]); //BS投影计算
    3  for (j = 1 to N) {
    4   p[j],c[j],d[j] = proj(R[j]); //UE投影计算
    5   if (d[0] < d[j]) { //如果远离RIS
    6    p[j] = p[0]; //选BS投影点
    7   }
    8   S = S ∩ rect(c[j], p[j]); //UE附近可行区
    9   if (dm < dist(c[j], p[0])) { //中心投影点计算
    10    dm = dist(c[j], p[0]);
    11    c[0] = c[j]; //最远中心
    12   }
    13  }//end-of-for
    14 S = S ∪ rect(c[0], p[0]); //BS附近可行区
    15 R[0] = p[0]; //初始搜索点
    16 MAX = argmax{|p-p[0]|,p∈S}; //最远搜索点
    17 while (dist(R[0], MAX) > EPS) { //收敛判定
    18  MID = mid(R[0], MAX); //对半
    19   if (slopeFQ(MID)>0) { //式(12)
    20    R[0]= MID; //前推
    21   } else {
    22    MAX = MID; //后退
    23   }
    24  }//end-of-while
    25  return R[0];
    26 }
    下载: 导出CSV

    表  1  测例A的主要计算参数

    类别参数名
    空间结
    构参数
    a10.0 m
    b5.0 m
    c2.0 m
    N4
    h1–2.0 m
    h20.0 m
    h31.0 m
    h4–1.0 m
    计算精度EPS0.1 m
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-05-15
  • 修回日期:  2024-01-31
  • 网络出版日期:  2024-03-09
  • 刊出日期:  2024-04-24

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