Energy-Efficient Clustered Cell-Free Networking With Access Point Selection
Ultra-densely deploying access points (APs) to support the increasing data traffic would significantly escalate the cell-edge problem resulting from traditional cellular networks. By removing the cell boundaries and coordinating all APs for joint transmission, the cell-edge problem can be alleviated...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10458891/ |
| _version_ | 1797243479858872320 |
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| author | Ouyang Zhou Junyuan Wang Fuqiang Liu Jiangzhou Wang |
| author_facet | Ouyang Zhou Junyuan Wang Fuqiang Liu Jiangzhou Wang |
| author_sort | Ouyang Zhou |
| collection | DOAJ |
| description | Ultra-densely deploying access points (APs) to support the increasing data traffic would significantly escalate the cell-edge problem resulting from traditional cellular networks. By removing the cell boundaries and coordinating all APs for joint transmission, the cell-edge problem can be alleviated, which in turn leads to unaffordable system complexity and channel measurement overhead. A new scalable clustered cell-free network architecture has been proposed recently, under which the large-scale network is flexibly partitioned into a set of independent subnetworks operating parallelly. In this paper, we study the energy-efficient clustered cell-free networking problem with AP selection. Specifically, we propose a user-centric ratio-fixed AP-selection based clustering (UCR-ApSel) algorithm to form subnetworks dynamically. Following this, we analyze the average energy efficiency achieved with the proposed UCR-ApSel scheme theoretically and derive an effective closed-form upper-bound. Based on the analytical upper-bound expression, the optimal AP-selection ratio that maximizes the average energy efficiency is further derived as a simple explicit function of the total number of APs and the number of subnetworks. Simulation results demonstrate the effectiveness of the derived optimal AP-selection ratio and show that the proposed UCR-ApSel algorithm with the optimal AP-selection ratio achieves around 40% higher energy efficiency than the baselines. The analysis provides important insights to the design and optimization of future ultra-dense wireless communication systems. |
| first_indexed | 2024-04-24T18:55:47Z |
| format | Article |
| id | doaj.art-f74093cdbea944659a1b46ca201e5d3e |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-04-24T18:55:47Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-f74093cdbea944659a1b46ca201e5d3e2024-03-26T17:44:58ZengIEEEIEEE Open Journal of the Communications Society2644-125X2024-01-0151551156510.1109/OJCOMS.2024.337287810458891Energy-Efficient Clustered Cell-Free Networking With Access Point SelectionOuyang Zhou0Junyuan Wang1https://orcid.org/0000-0002-1838-8336Fuqiang Liu2Jiangzhou Wang3https://orcid.org/0000-0003-0881-3594College of Electronic and Information Engineering, Tongji University, Shanghai, ChinaCollege of Electronic and Information Engineering, Tongji University, Shanghai, ChinaCollege of Electronic and Information Engineering, Tongji University, Shanghai, ChinaSchool of Engineering, University of Kent, Canterbury, U.K.Ultra-densely deploying access points (APs) to support the increasing data traffic would significantly escalate the cell-edge problem resulting from traditional cellular networks. By removing the cell boundaries and coordinating all APs for joint transmission, the cell-edge problem can be alleviated, which in turn leads to unaffordable system complexity and channel measurement overhead. A new scalable clustered cell-free network architecture has been proposed recently, under which the large-scale network is flexibly partitioned into a set of independent subnetworks operating parallelly. In this paper, we study the energy-efficient clustered cell-free networking problem with AP selection. Specifically, we propose a user-centric ratio-fixed AP-selection based clustering (UCR-ApSel) algorithm to form subnetworks dynamically. Following this, we analyze the average energy efficiency achieved with the proposed UCR-ApSel scheme theoretically and derive an effective closed-form upper-bound. Based on the analytical upper-bound expression, the optimal AP-selection ratio that maximizes the average energy efficiency is further derived as a simple explicit function of the total number of APs and the number of subnetworks. Simulation results demonstrate the effectiveness of the derived optimal AP-selection ratio and show that the proposed UCR-ApSel algorithm with the optimal AP-selection ratio achieves around 40% higher energy efficiency than the baselines. The analysis provides important insights to the design and optimization of future ultra-dense wireless communication systems.https://ieeexplore.ieee.org/document/10458891/Clustered cell-free networkingsubnetworkclusteringenergy efficiency analysisaccess point selection |
| spellingShingle | Ouyang Zhou Junyuan Wang Fuqiang Liu Jiangzhou Wang Energy-Efficient Clustered Cell-Free Networking With Access Point Selection IEEE Open Journal of the Communications Society Clustered cell-free networking subnetwork clustering energy efficiency analysis access point selection |
| title | Energy-Efficient Clustered Cell-Free Networking With Access Point Selection |
| title_full | Energy-Efficient Clustered Cell-Free Networking With Access Point Selection |
| title_fullStr | Energy-Efficient Clustered Cell-Free Networking With Access Point Selection |
| title_full_unstemmed | Energy-Efficient Clustered Cell-Free Networking With Access Point Selection |
| title_short | Energy-Efficient Clustered Cell-Free Networking With Access Point Selection |
| title_sort | energy efficient clustered cell free networking with access point selection |
| topic | Clustered cell-free networking subnetwork clustering energy efficiency analysis access point selection |
| url | https://ieeexplore.ieee.org/document/10458891/ |
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