Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN

The fully-decoupled radio access network (FD-RAN) is an innovative architecture designed for next-generation mobile communication networks, featuring decoupled control and data planes as well as separated uplink and downlink transmissions. To further enhance energy efficiency, this paper explores a green approach to FD-RAN by incorporating adaptive base station (BS) sleeping and resource allocation. First, we introduce a holistic power consumption model and formulate a energy efficiency maximization problem for FD-RAN, involving joint optimization of user equipment (UE) association, BS sleeping, and power control. Subsequently, the optimization problem is decomposed into two subproblems. The first subproblem, involving UE power control, is solved using a successive lower-bound maximization approach based on Dinkelbach’s algorithm. The second subproblem, addressing UE association and BS sleeping, is tackled via a modified, low-complexity many-to-many swap matching algorithm. Extensive simulation results demonstrate the superior effectiveness of FD-RAN with our proposed algorithms, revealing the sources of energy efficiency gains.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-09-08
DOI
https://doi.org/10.1109/twc.2025.3604331
Citations
2
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
1.46
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article

Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN

Haibo Zhou, Kai Yu, Bo Qian, Yunting Xu et al.
2 citations
IEEE Transactions on Wireless Communications
Advanced MIMO Systems Optimization
1.46
article

Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN

Haibo Zhou, Kai Yu, Bo Qian, Yunting Xu, Yu Sun, Lin X. Cai
article en
2 citations

Abstract

The fully-decoupled radio access network (FD-RAN) is an innovative architecture designed for next-generation mobile communication networks, featuring decoupled control and data planes as well as separated uplink and downlink transmissions. To further enhance energy efficiency, this paper explores a green approach to FD-RAN by incorporating adaptive base station (BS) sleeping and resource allocation. First, we introduce a holistic power consumption model and formulate a energy efficiency maximization problem for FD-RAN, involving joint optimization of user equipment (UE) association, BS sleeping, and power control. Subsequently, the optimization problem is decomposed into two subproblems. The first subproblem, involving UE power control, is solved using a successive lower-bound maximization approach based on Dinkelbach’s algorithm. The second subproblem, addressing UE association and BS sleeping, is tackled via a modified, low-complexity many-to-many swap matching algorithm. Extensive simulation results demonstrate the superior effectiveness of FD-RAN with our proposed algorithms, revealing the sources of energy efficiency gains.

IEEE Transactions on Wireless CommunicationsVol. 25
Nanyang Technological University (SG), Illinois Institute of Technology (US), National Institute of Informatics (JP), KTH Royal Institute of Technology (SE), Nanjing University (CN)
Openalex Percentile: Top 15%
Advanced MIMO Systems Optimization
1.46
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