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

doi:10.11999/JEIT230414

智能反射面室内部署的位置规划方法

doi: 10.11999/JEIT230414

南京邮电大学通信与信息工程学院南京 210003

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
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- 被引次数: 0
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

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

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

摘要

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。
- 智能反射面 /
- 室内部署 /
- 位置规划 /
- 算法设计
Abstract: The Intelligent-Reflecting-Surface (IRS) / Reconfigurable-Intelligent-Surface (RIS) is challenged by the placement and direction of its adhering panel when it is used to assist an actual wireless communication system to improve performance. As a mathematic programming problem, RIS placement not only depends on objective design but also is subjective to the distribution of buildings surrounded and the effective reflection area of walls to be hung with the RIS. The in-door deployment of a planar RIS is much more complex than the out-door counterpart in free and open space. The focus of this paper is on the in-door deployment of RIS adhering to environmental walls. A multi-terminal access optimization is modelled by site planning and a simplified equivalent expression is presented. A degenerated case for a single terminal is analyzed in order to transform the non-linear problem to be tractable. The function of Cassini oval is deduced from the objective and feasible solutions are narrowed to the common projection area of terminals and base-state. A heuristic and efficient algorithm is then developed based on a binary searching scheme. Numerical simulations by two in-door cases with complex constructions have verified that the proposed algorithm is benefit to speed-up computing, and extensible for multiple-RIS network planning.
- Intelligent Reflecting Surface (IRS) /
- In-door deployment /
- Placement planning /
- Algorithm design

HTML全文

图 1 RIS级联信道示意图(BLK为LOS遮挡物)

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图 2 RIS级联信道f_Q等值线图(虚线对应b = ±0.5 m)

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图 3 BS和UE至RIS部署可行区的投影示例

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图 4 RIS 室内部署(测例A)平面图

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图 5 RIS部署效果对比(插图示意UE相对位置)

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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

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图 7 测例A计算得到的f_Q (x) 随权重w的变化关系

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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)

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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	}

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表 1 测例A的主要计算参数

类别	参数名	值
空间结构参数	a	10.0 m
	b	5.0 m
	c	2.0 m
	N	4
	h₁	–2.0 m
	h₂	0.0 m
	h₃	1.0 m
	h₄	–1.0 m
计算精度	EPS	0.1 m

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参考文献(17)

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