5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm

Shaoda Zeng; Yuping Wang; Hai-Lin Liu; Jiechang Wen; Qingfu Zhang

doi:10.1109/ICIST59754.2023.10367138

5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm

Shaoda Zeng
, Yuping Wang
, Hai-Lin Liu^*
, Jiechang Wen
, Qingfu Zhang

^*Corresponding author for this work

Department of Computer Science

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

With the increasing demand for indoor 5G communications, distributed antenna system (DAS) has received more attention as an important way to deploy indoor signals. As an important part of DAS design, the wiring planning largely affects the deployment cost and the output power of each antenna. Regrettably, the wiring planning problem has been somewhat neglected in past studies. This paper establishes a two-stage solution model for this problem as a way to fastly solve the DAS wiring planning problem. In addition, in order to accelerate the solution process for the wiring planning problem, an algorithm that utilizes a local search strategy and a diagonal turning points path retracing strategy is proposed. In two real scenarios, computer simulation experiments show that the proposed algorithm is better than the comparison algorithm in solving the problem and reduces the solving time greatly. © 2023 IEEE.

Original language	English
Title of host publication	2023 13th International Conference on Information Science and Technology (ICIST)
Publisher	IEEE
Pages	486-495
ISBN (Electronic)	9798350313925
ISBN (Print)	979-8-3503-1393-2
DOIs	https://doi.org/10.1109/ICIST59754.2023.10367138
Publication status	Published - 2023
Event	13th International Conference on Information Science and Technology (ICIST 2023) - Texas A&M University & Renaissance Cairo Mirage City Hotel, Doha & Cairo, Egypt Duration: 8 Dec 2023 → 14 Dec 2023 https://conference.cs.cityu.edu.hk/icist/

Publication series

Name	International Conference on Information Science and Technology, ICIST - Proceedings
ISSN (Print)	2164-4357
ISSN (Electronic)	2573-3311

Conference

Conference	13th International Conference on Information Science and Technology (ICIST 2023)
Place	Egypt
City	Doha & Cairo
Period	8/12/23 → 14/12/23
Internet address	https://conference.cs.cityu.edu.hk/icist/

Funding

This work was supported in part by the Natural Science Foundation of Guangdong Province under Grant 2023A1515011793 and 2022A1515010130, the Programme of Science and Technology of Guangdong Province 2021A0505110004, and the Innovation and Technology Fund of Hong Kong (GHP/110/20GD).

Research Keywords

5G
DAS
local search strateg
path retracing strategy
wiring path

Access Output

10.1109/ICIST59754.2023.10367138

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Cite this

Zeng, S., Wang, Y., Liu, H.-L., Wen, J., & Zhang, Q. (2023). 5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm. In 2023 13th International Conference on Information Science and Technology (ICIST) (pp. 486-495). (International Conference on Information Science and Technology, ICIST - Proceedings). IEEE. https://doi.org/10.1109/ICIST59754.2023.10367138

@inproceedings{0d086cc532a748bb8760bcbf51f94d52,

title = "5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm",

abstract = "With the increasing demand for indoor 5G communications, distributed antenna system (DAS) has received more attention as an important way to deploy indoor signals. As an important part of DAS design, the wiring planning largely affects the deployment cost and the output power of each antenna. Regrettably, the wiring planning problem has been somewhat neglected in past studies. This paper establishes a two-stage solution model for this problem as a way to fastly solve the DAS wiring planning problem. In addition, in order to accelerate the solution process for the wiring planning problem, an algorithm that utilizes a local search strategy and a diagonal turning points path retracing strategy is proposed. In two real scenarios, computer simulation experiments show that the proposed algorithm is better than the comparison algorithm in solving the problem and reduces the solving time greatly. {\textcopyright} 2023 IEEE.",

keywords = "5G, DAS, local search strateg, path retracing strategy, wiring path",

author = "Shaoda Zeng and Yuping Wang and Hai-Lin Liu and Jiechang Wen and Qingfu Zhang",

year = "2023",

doi = "10.1109/ICIST59754.2023.10367138",

language = "English",

isbn = "979-8-3503-1393-2",

series = "International Conference on Information Science and Technology, ICIST - Proceedings",

publisher = "IEEE",

pages = "486--495",

booktitle = "2023 13th International Conference on Information Science and Technology (ICIST)",

address = "United States",

note = "13th International Conference on Information Science and Technology (ICIST 2023) ; Conference date: 08-12-2023 Through 14-12-2023",

url = "https://conference.cs.cityu.edu.hk/icist/",

}

Zeng, S, Wang, Y, Liu, H-L, Wen, J & Zhang, Q 2023, 5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm. in 2023 13th International Conference on Information Science and Technology (ICIST). International Conference on Information Science and Technology, ICIST - Proceedings, IEEE, pp. 486-495, 13th International Conference on Information Science and Technology (ICIST 2023), Doha & Cairo, Egypt, 8/12/23. https://doi.org/10.1109/ICIST59754.2023.10367138

5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm. / Zeng, Shaoda; Wang, Yuping; Liu, Hai-Lin et al.
2023 13th International Conference on Information Science and Technology (ICIST). IEEE, 2023. p. 486-495 (International Conference on Information Science and Technology, ICIST - Proceedings).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - 5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm

AU - Zeng, Shaoda

AU - Wang, Yuping

AU - Liu, Hai-Lin

AU - Wen, Jiechang

AU - Zhang, Qingfu

PY - 2023

Y1 - 2023

N2 - With the increasing demand for indoor 5G communications, distributed antenna system (DAS) has received more attention as an important way to deploy indoor signals. As an important part of DAS design, the wiring planning largely affects the deployment cost and the output power of each antenna. Regrettably, the wiring planning problem has been somewhat neglected in past studies. This paper establishes a two-stage solution model for this problem as a way to fastly solve the DAS wiring planning problem. In addition, in order to accelerate the solution process for the wiring planning problem, an algorithm that utilizes a local search strategy and a diagonal turning points path retracing strategy is proposed. In two real scenarios, computer simulation experiments show that the proposed algorithm is better than the comparison algorithm in solving the problem and reduces the solving time greatly. © 2023 IEEE.

AB - With the increasing demand for indoor 5G communications, distributed antenna system (DAS) has received more attention as an important way to deploy indoor signals. As an important part of DAS design, the wiring planning largely affects the deployment cost and the output power of each antenna. Regrettably, the wiring planning problem has been somewhat neglected in past studies. This paper establishes a two-stage solution model for this problem as a way to fastly solve the DAS wiring planning problem. In addition, in order to accelerate the solution process for the wiring planning problem, an algorithm that utilizes a local search strategy and a diagonal turning points path retracing strategy is proposed. In two real scenarios, computer simulation experiments show that the proposed algorithm is better than the comparison algorithm in solving the problem and reduces the solving time greatly. © 2023 IEEE.

KW - 5G

KW - DAS

KW - local search strateg

KW - path retracing strategy

KW - wiring path

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U2 - 10.1109/ICIST59754.2023.10367138

DO - 10.1109/ICIST59754.2023.10367138

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 979-8-3503-1393-2

T3 - International Conference on Information Science and Technology, ICIST - Proceedings

SP - 486

EP - 495

BT - 2023 13th International Conference on Information Science and Technology (ICIST)

PB - IEEE

T2 - 13th International Conference on Information Science and Technology (ICIST 2023)

Y2 - 8 December 2023 through 14 December 2023

ER -

5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm

Abstract

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ITF: Investigation on Indoor Distributed System Planning Modeling and Fast Algorithm for 5G Mobile Communication Network

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5G Indoor Distributed Antenna System Wiring Planning Fast Algorithm

Abstract

Publication series

Conference

Funding

Research Keywords

Access Output

Other Access Options

Permanent Link

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ITF: Investigation on Indoor Distributed System Planning Modeling and Fast Algorithm for 5G Mobile Communication Network

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