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Autori principali: Sun, Yu, Zhou, Haibo, Yu, Kai, Xu, Yunting, Qian, Bo, Cai, Lin X.
Natura: Preprint
Pubblicazione: 2023
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Accesso online:https://arxiv.org/abs/2312.05517
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author Sun, Yu
Zhou, Haibo
Yu, Kai
Xu, Yunting
Qian, Bo
Cai, Lin X.
author_facet Sun, Yu
Zhou, Haibo
Yu, Kai
Xu, Yunting
Qian, Bo
Cai, Lin X.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2312_05517
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN
Sun, Yu
Zhou, Haibo
Yu, Kai
Xu, Yunting
Qian, Bo
Cai, Lin X.
Networking and Internet Architecture
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.
title Flexible Base Station Sleeping and Resource Allocation for Green Uplink Fully-Decoupled RAN
topic Networking and Internet Architecture
url https://arxiv.org/abs/2312.05517