Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA

Hirai, Takeshi; Ueda, Yuta; Wakamiya, Naoki

doi:https://doi.org/10.1109/JIOT.2024.3409698

Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA

Hirai, Takeshi; Ueda, Yuta; Wakamiya, Naoki

IEEE Internet of Things Journal, 2024, 11(18), 29926-29940

アクセス数:302件（2025-07-06 07:37 集計）

固定URL: https://hdl.handle.net/11094/97267

閲覧可能ファイル

ファイル	フォーマット	利用条件	サイズ	閲覧回数	利用開始日	説明	information
IEEEInternetThingsJ_JIOT_2024.3409698	pdf	なし	1.60 MB	33	2024.08.01

Creative Commons : 表示 - 非営利 - 改変禁止

論文情報

ファイル出力 EndNote Basic出力 Mendeley出力

タイトル	Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA
著者	NRID 1000030903554 1000030903554 ORCID 0000-0002-1090-4770 0000-0002-1090-4770 researchmap permalink takeshihirai takeshihirai Scopus Author ID 57203993597 57203993597 著者名 Hirai, Takeshi
	著者名 Ueda, Yuta
	NRID 1000050283742 1000050283742 researchmap permalink wakamiya wakamiya Scopus Author ID 7007045118 7007045118 著者名 Wakamiya, Naoki
キーワード等	Analytical models
	Fading channels
	grant-free NOMA
	Internet of Things
	mMTC
	NOMA
	Nonhomogeneous media
	power collisions
	SIC
	stochastic geometry
	Stochastic processes
	Throughput
	throughput analysis
内容	Hirai T., Ueda Y., Wakamiya N.. Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA. IEEE Internet of Things Journal, (2024); https://doi.org/10.1109/JIOT.2024.3409698.
抄録	This paper proposes a stochastic geometry-based analytical framework for the throughput of the grant-free power-domain non-orthogonal multiple access (GF-NOMA) with user-specific constraints of selectable power levels and analyzes the achievable throughput. Our analytical framework uses stochastic geometry to reflect selectable power levels constrained by the maximum transmission power and channel of each user to an inhomogeneous offered load per level. This key idea enables our framework to analyze the throughput bounded by the geographical user distribution and derive a suitable selection strategy of power levels under the constraint more accurately than the existing models. Our analytical results showed that our framework analyzed the throughput with only an analysis error of 0.1% compared with the Monte Carlo simulations, although the existing model overestimated 58% higher throughput. By using the proposed analytical model, our results presented decreasing the achievable throughput with increasing the coverage range. This paper also proposes a heuristic method based on our proposed analytical model to derive a suitable selection strategy of power levels. Our results highlight that the derived selection strategy on our analytical framework achieved 20 higher throughput than the baseline strategy, where each user randomly selects a power level under the power level constraint.
出版者	Institute of Electrical and Electronics Engineers Inc.
収録物名	IEEE Internet of Things Journal
巻(号)	11(18)
ページ	29926-29940
刊行年月	2024-06-05
言語	英語
ハンドルURL	https://hdl.handle.net/11094/97267
eISSN	23274662
関連情報 (isIdenticalTo)	DOI (出版社版) https://doi.org/10.1109/JIOT.2024.3409698
アクセス権	open access
権利情報	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
出版タイプ	Version of Record
カテゴリ	学術雑誌論文 Journal Article

資源タイプ	学術雑誌論文
ローカル資源タイプ	学術雑誌論文
DCTERMS.bibliographicCitation	IEEE Internet of Things Journal. 2024, 11(18), p. 29926-29940
DC.title	Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA
DC.creator	Hirai, Takeshi
	Ueda, Yuta
	Wakamiya, Naoki
DC.publisher	Institute of Electrical and Electronics Engineers Inc.
DC.language' scheme='DCTERMS.RFC1766	英語
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2024-06-05
DC.identifier	https://doi.org/10.1109/JIOT.2024.3409698
DC.subject	Analytical models
	Fading channels
	grant-free NOMA
	Internet of Things
	mMTC
	NOMA
	Nonhomogeneous media
	power collisions
	SIC
	stochastic geometry
	Stochastic processes
	Throughput
	throughput analysis
DC.description	Hirai T., Ueda Y., Wakamiya N.. Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA. IEEE Internet of Things Journal, (2024); https://doi.org/10.1109/JIOT.2024.3409698.
DCTERMS.abstract	This paper proposes a stochastic geometry-based analytical framework for the throughput of the grant-free power-domain non-orthogonal multiple access (GF-NOMA) with user-specific constraints of selectable power levels and analyzes the achievable throughput. Our analytical framework uses stochastic geometry to reflect selectable power levels constrained by the maximum transmission power and channel of each user to an inhomogeneous offered load per level. This key idea enables our framework to analyze the throughput bounded by the geographical user distribution and derive a suitable selection strategy of power levels under the constraint more accurately than the existing models. Our analytical results showed that our framework analyzed the throughput with only an analysis error of 0.1% compared with the Monte Carlo simulations, although the existing model overestimated 58% higher throughput. By using the proposed analytical model, our results presented decreasing the achievable throughput with increasing the coverage range. This paper also proposes a heuristic method based on our proposed analytical model to derive a suitable selection strategy of power levels. Our results highlight that the derived selection strategy on our analytical framework achieved 20 higher throughput than the baseline strategy, where each user randomly selects a power level under the power level constraint.
DC.rights	This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
DC.format	97267
citation_title	Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA
citation_author	Hirai, Takeshi
	Ueda, Yuta
	Wakamiya, Naoki
citation_publisher	Institute of Electrical and Electronics Engineers Inc.
citation_language	英語
citation_date	2024-06-05
citation_journal_title	IEEE Internet of Things Journal
citation_volume	11
citation_issue	18
citation_firstpage	29926
citation_lastpage	29940
citation_doi	https://doi.org/10.1109/JIOT.2024.3409698
citation_public_url	https://hdl.handle.net/11094/97267

Stochastic Geometry-Based Throughput Analysis of User-Specific Power-Level-Constrained GF-NOMA

閲覧可能ファイル

論文情報

論文詳細を表示