超大規(guī)模MIMO陣列可視區(qū)域空間分布數(shù)據(jù)集

高銳鋒; 苗艷春; 陳穎; 王玨; 張軍; 韓瑜; 金石

doi:10.11999/JEIT231273

超大規(guī)模MIMO陣列可視區(qū)域空間分布數(shù)據(jù)集

doi: 10.11999/JEIT231273 cstr: 32379.14.JEIT231273

高銳鋒¹,
苗艷春¹,
陳穎²,
王玨^2, ,,
張軍³,
韓瑜⁴,
金石⁴

1.
南通大學(xué)交通學(xué)院南通 226019
2.
南通大學(xué)信息科學(xué)技術(shù)學(xué)院南通 226019
3.
南京郵電大學(xué)通信與信息工程學(xué)院南京 210042
4.
東南大學(xué)移動(dòng)通信國家重點(diǎn)實(shí)驗(yàn)室南京 210096

基金項(xiàng)目: 國家自然科學(xué)基金 (62171240, 62001254)；江蘇省高校自然科學(xué)基金 (22KJB510039)

詳細(xì)信息

作者簡介:
高銳鋒：男，副教授，研究方向?yàn)闊o線通信、智能信息處理等

苗艷春：女，碩士生，研究方向?yàn)橹悄芡ㄐ?/p>
陳穎：女，碩士生，研究方向?yàn)橹悄芡ㄐ?/p>
王玨：男，副教授，研究方向?yàn)镸IMO 系統(tǒng)及超大規(guī)模 MIMO 系統(tǒng)等

張軍：男，教授，研究方向?yàn)榇笠?guī)模MIMO、人工智能通信等

韓瑜：女，副研究員，研究方向?yàn)槌笠?guī)模MIMO、可見區(qū)域等

金石：男，教授，研究方向?yàn)?G移動(dòng)通信理論與關(guān)鍵技術(shù)研究等

通訊作者:
王玨　wangjue@ntu.edu.cn

中圖分類號: TN929.5
計(jì)量
- 文章訪問數(shù): 612
- HTML全文瀏覽量: 307
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2023-11-17
- 修回日期: 2024-04-30
- 網(wǎng)絡(luò)出版日期: 2024-05-15
- 刊出日期: 2024-08-30

Visibility Region Spatial Distribution Dataset for XL-MIMO Arrays

1.
School of Transportation, Nantong University, Nantong 226019, China
2.
School of Information Science and Technology, Nantong University, Nantong 226019, China
3.
School of Communications and Information Engineering, Nanjing University of Post and Telecommunications, Nanjing 210042, China
4.
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Funds: The National Natural Science Foundation of China (62171240, 62001254), The Natural Science Foundation of Jiangsu Provincial Universities (22KJB510039)

摘要

摘要: 可視區(qū)域(VR)信息可用于降低超大規(guī)模多輸入多輸出(XL-MIMO)系統(tǒng)傳輸設(shè)計(jì)復(fù)雜度，但現(xiàn)有理論分析與傳輸設(shè)計(jì)多基于簡化的VR統(tǒng)計(jì)分布模型。為評估分析XL-MIMO在實(shí)際物理傳播場景中的性能，該文公開了XL-MIMO陣列VR空間分布數(shù)據(jù)集，其由環(huán)境參數(shù)設(shè)置、射線追蹤仿真、天線場強(qiáng)數(shù)據(jù)預(yù)處理和VR判定準(zhǔn)則等步驟構(gòu)建。該數(shù)據(jù)集針對典型城區(qū)無線傳播場景，建立了用戶位置采樣與場強(qiáng)數(shù)據(jù)、VR數(shù)據(jù)之間的關(guān)聯(lián)，總數(shù)據(jù)條目數(shù)量達(dá)上億級。進(jìn)一步對其中VR形態(tài)、VR分布進(jìn)行了可視化展示與分析，并以基于VR的XL-MIMO用戶接入?yún)f(xié)議為例，利用該數(shù)據(jù)集對其在真實(shí)傳播場景中的性能進(jìn)行了仿真，為該數(shù)據(jù)集的應(yīng)用提供了典型樣例。
- 超大規(guī)模MIMO /
- 可視區(qū)域 /
- 射線追蹤 /
- 能量集中度 /
- 子陣列
Abstract: The Visibility Region (VR) information can be used to reduce the complexity in transmission design of EXtremely Large-scale massive Multiple-Input Multiple-Output (XL-MIMO) systems. Existing theoretical analysis and transmission design are mostly based on simplified VR models. In order to evaluate and analyze the performance of XL-MIMO in realistic propagation scenarios, this paper discloses a VR spatial distribution dataset for XL-MIMO systems, which is constructed by steps including environmental parameter setting, ray tracing simulation, field strength data preprocessing and VR determination. For typical urban scenarios, the dataset establishes the connections between user locations, field strength data, and VR data, with a total number of hundreds of millions of data entries. Furthermore, the VR distribution is visualized and analyzed, and a VR-based XL-MIMO user access protocol is taken as an example usecase, with its performance being evaluated with the proposed VR dataset.
- Extremely large-scale massive Multiple-Input Multiple-Output (MIMO) /
- Visibility region /
- Ray tracing /
- Energy concentration /
- Subarrays

HTML全文

圖 1 VRD構(gòu)建整體流程圖

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圖 2 實(shí)際3維城區(qū)場景以及采用射線追蹤技術(shù)仿真得到的部分天線場強(qiáng)數(shù)據(jù)圖

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圖 3 所選用戶位置示例

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圖 4 兩站點(diǎn)天線場強(qiáng)圖

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圖 5 site2不同VR判定準(zhǔn)則下的VR示意圖

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圖 6 site2能量集中度80%時(shí)兩種準(zhǔn)則下的VR天線/子陣列數(shù)量分布圖

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圖 7 site2不同VR判定準(zhǔn)則下的VR分布圖

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圖 8 兩種隨機(jī)接入?yún)f(xié)議的接入性能在所公布VRD下的仿真比較

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表 1 仿真參數(shù)設(shè)置

參數(shù)	參數(shù)設(shè)置
站點(diǎn)位置	場景內(nèi)最高建筑物表面，site1: 150 m, site2: 50 m
天線類型及詳細(xì)參數(shù)	每個(gè)站點(diǎn)200根天線(10×20)，天線間距3 m，全向天線，頻率4800 MHz，發(fā)送功率1 W
天線序號	site1: 011～210，site2: 20011～20210
場強(qiáng)空間分辨率	1 m
用戶高度	高度統(tǒng)一為1.5 m
傳播模型	智能射線追蹤

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1 天線能量集中度VR判定算法

輸入：用戶位置j天線場強(qiáng)數(shù)據(jù)$ {d_j}\left[ i \right] $，其中i表示天線標(biāo)號；能量集中度P；初始化VR集合S_j為空；天線總數(shù)N_t
輸出：用戶j的VR集合S_j
1 計(jì)算用戶j所在位置的場強(qiáng)和：${F^j} = \sum\nolimits_{i = 1}^{{N_{\mathrm{t}}}} {{d_j}\left[ i \right]} $；
2 用戶j所能接收到的天線陣列上P (%)的能量，即閾值：${F^{j,P}} = {F^j} \times P$；
3 對數(shù)組$ {d_j}\left[ i \right] $按場強(qiáng)降序排序，生成新的2維數(shù)組${d'_j}\left[ {i,k} \right]$，其中i表示重新排序后的索引，k表示排序前天線的標(biāo)號；
4 for (int t=0; t<=N_t; t++)
5 　${{\mathrm{sum}}} = {\text{sum}} + {d'_j}\left[ {i,k} \right]$；
6 　天線k加入集合S_j；
7 　if ${{\mathrm{sum}}} > {F^{j,P}}$
8 　　Break；
9 返回VR S_j。

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表 2 數(shù)據(jù)集匯總表

數(shù)據(jù)集類型		數(shù)據(jù)集名稱	數(shù)據(jù)集含義	數(shù)據(jù)量
天線場強(qiáng)空間分布數(shù)據(jù)集		Antenna_site1	site1天線場強(qiáng)信息	60071000
天線場強(qiáng)空間分布數(shù)據(jù)集		Antenna_site2	site2天線場強(qiáng)信息	60071000
VRD	基于天線能量集中度的VRD	S1_Antenna_user_80	site1下能量集中度80%的用戶位置-天線VR構(gòu)成信息	7702400
		S2_Antenna_user_80	site2下能量集中度80%的用戶位置-天線VR構(gòu)成信息	3515400
		S1_Antenna_VR	site1峰值下天線VR分布	464
		S2_Antenna_VR	site2峰值下天線VR分布	279
	基于子陣列能量集中度的VRD	Antenna_subarray	天線-子陣列映射數(shù)據(jù)集	400
		S1_user_sub_power_80	site1下能量集中度80%的用戶位置-子陣列VR構(gòu)成信息	547280
		S2_user_sub_power_80	site2下能量集中度80%的用戶位置-子陣列VR構(gòu)成信息	725660
		S1_Subarray_VR	site1峰值下子陣列VR分布	27353
		S2_Subarray_VR	site2峰值下子陣列VR分布	36284

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