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Performance trends of millimeter wave energy harvesting networks with base station cooperation.

The great demand for high data rate transmission has evolved due to the booming wireless services, especially on the forthcoming fifth generation (5G) network. The upcoming cellular network is expected to utilize the higher segment of the frequency band, i.e., the millimeter wave (MMW), to meet the...

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Main Authors: Mohd. Noor, Anis Syahira, Muhammad, Nor Aishah, Anwar Apandi, Nur Ilyana, A. Rashid, Rozeha, Sarijari, Mohd. Adib
Format: Article
Language:English
Published: RMP Publications 2023
Subjects:
TK5101-6720 Telecommunication
Online Access:http://eprints.utm.my/108593/1/AnisSyahiraMohdNoor2023_PerformanceTrendsofMillimeterWaveEnergyHarvesting.pdf
http://eprints.utm.my/108593/
https://www.jesrjournal.com/uploads/2/6/8/1/26810285/71052023-jesr-26-31.pdf
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spelling my.utm.1085932024-11-20T07:54:42Z http://eprints.utm.my/108593/ Performance trends of millimeter wave energy harvesting networks with base station cooperation. Mohd. Noor, Anis Syahira Muhammad, Nor Aishah Anwar Apandi, Nur Ilyana A. Rashid, Rozeha Sarijari, Mohd. Adib TK5101-6720 Telecommunication The great demand for high data rate transmission has evolved due to the booming wireless services, especially on the forthcoming fifth generation (5G) network. The upcoming cellular network is expected to utilize the higher segment of the frequency band, i.e., the millimeter wave (MMW), to meet the demand for extraordinarily high data rates to serve abundant applications. This paper focuses on developing a prediction tool for assessing the energy coverage of the downlink transmission in MMW energy harvesting networks with base station cooperation based on the stochastic geometry model. The signal-to-noise plus interference ratio (SINR) and energy coverage are evaluated by modeling the user and base station locations following the Poisson Point Processes (PPP). Joint transmission of two base stations is considered to investigate its impact on energy harvesting. The prediction tool is developed using MATLAB, where the unique characteristics of MMW propagation and antenna features are incorporated into the simulations. It is observed that the dense deployment of the MMW base station significantly improves both the SINR and energy coverage. RMP Publications 2023-02-10 Article PeerReviewed application/pdf en http://eprints.utm.my/108593/1/AnisSyahiraMohdNoor2023_PerformanceTrendsofMillimeterWaveEnergyHarvesting.pdf Mohd. Noor, Anis Syahira and Muhammad, Nor Aishah and Anwar Apandi, Nur Ilyana and A. Rashid, Rozeha and Sarijari, Mohd. Adib (2023) Performance trends of millimeter wave energy harvesting networks with base station cooperation. Journal of Engineering and Science Research, 7 (1). pp. 26-31. ISSN 2289-7127 https://www.jesrjournal.com/uploads/2/6/8/1/26810285/71052023-jesr-26-31.pdf NA
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK5101-6720 Telecommunication
spellingShingle TK5101-6720 Telecommunication
Mohd. Noor, Anis Syahira
Muhammad, Nor Aishah
Anwar Apandi, Nur Ilyana
A. Rashid, Rozeha
Sarijari, Mohd. Adib
Performance trends of millimeter wave energy harvesting networks with base station cooperation.
description The great demand for high data rate transmission has evolved due to the booming wireless services, especially on the forthcoming fifth generation (5G) network. The upcoming cellular network is expected to utilize the higher segment of the frequency band, i.e., the millimeter wave (MMW), to meet the demand for extraordinarily high data rates to serve abundant applications. This paper focuses on developing a prediction tool for assessing the energy coverage of the downlink transmission in MMW energy harvesting networks with base station cooperation based on the stochastic geometry model. The signal-to-noise plus interference ratio (SINR) and energy coverage are evaluated by modeling the user and base station locations following the Poisson Point Processes (PPP). Joint transmission of two base stations is considered to investigate its impact on energy harvesting. The prediction tool is developed using MATLAB, where the unique characteristics of MMW propagation and antenna features are incorporated into the simulations. It is observed that the dense deployment of the MMW base station significantly improves both the SINR and energy coverage.
format Article
author Mohd. Noor, Anis Syahira
Muhammad, Nor Aishah
Anwar Apandi, Nur Ilyana
A. Rashid, Rozeha
Sarijari, Mohd. Adib
author_facet Mohd. Noor, Anis Syahira
Muhammad, Nor Aishah
Anwar Apandi, Nur Ilyana
A. Rashid, Rozeha
Sarijari, Mohd. Adib
author_sort Mohd. Noor, Anis Syahira
title Performance trends of millimeter wave energy harvesting networks with base station cooperation.
title_short Performance trends of millimeter wave energy harvesting networks with base station cooperation.
title_full Performance trends of millimeter wave energy harvesting networks with base station cooperation.
title_fullStr Performance trends of millimeter wave energy harvesting networks with base station cooperation.
title_full_unstemmed Performance trends of millimeter wave energy harvesting networks with base station cooperation.
title_sort performance trends of millimeter wave energy harvesting networks with base station cooperation.
publisher RMP Publications
publishDate 2023
url http://eprints.utm.my/108593/1/AnisSyahiraMohdNoor2023_PerformanceTrendsofMillimeterWaveEnergyHarvesting.pdf
http://eprints.utm.my/108593/
https://www.jesrjournal.com/uploads/2/6/8/1/26810285/71052023-jesr-26-31.pdf
_version_ 1817841618315640832
score 13.226497

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