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Cell-Level RSRP Estimation With the Image-to-Image Wireless Propagation Model Based on Measured Data

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成果类型:
期刊论文
作者:
Zheng, Yi;Wang, Ji;Li, Xingwang;Li, Jiping;Liu, Shouyin
通讯作者:
Liu, SY
作者机构:
[Zheng, Yi] Jianghan Univ, Sch Artificial Intelligence, Wuhan 430056, Peoples R China.
[Wang, Ji; Liu, Shouyin; Liu, SY] Cent China Normal Univ, Coll Phys Sci & Technol, Dept Elect & Informat Engn, Wuhan 430079, Peoples R China.
[Li, Xingwang] Henan Polytech Univ, Sch Phys & Elect Informat Engn, Jiaozuo 454000, Peoples R China.
[Li, Jiping] Changzhou Inst Technol, Sch Comp & Informat Engn, Changzhou 213002, Peoples R China.
通讯机构:
[Liu, SY ] C
Cent China Normal Univ, Coll Phys Sci & Technol, Dept Elect & Informat Engn, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Estimation;Predictive models;Wireless communication;Data models;Computational modeling;Buildings;Training;Reference signal receiving power;wireless propagation model;conditional generative adversarial networks
期刊:
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
ISSN:
2332-7731
年:
2023
卷:
9
期:
6
页码:
1412-1423
基金类别:
10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 62101205) 10.13039/501100003819-Natural Science Foundation of Hubei Province (Grant Number: 2021CFB248) Key Research and Development Program of Hubei Province (Grant Number: 2023BAB061 and 2021BAA170)
机构署名:
本校为通讯机构
院系归属:
物理科学与技术学院
摘要:
Wireless propagation models play a significant role in the deployments of base stations that are used to the reference signal receiving power (RSRP) of signal receivers in a cell. However, the existing models predict the RSRP of one receiver point in a cell at a time, which cannot be generalized to other cells. Motivated by this, a cell-level RSRP estimation method is proposed to directly predict the whole-cell RSRP by converting the RSRP estimation into an image-to-image translation. First, an environment map of each cell and measured RSRP for each cell is transformed into an image. Second, a...

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