A Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities

He, Yanhua; Tang, Liangrui; Zhou, Zhenyu

doi:10.1109/iccchinaw.2018.8674480

Cited by 3 publications

(4 citation statements)

References 16 publications

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“…However, these sleep controls could degrade the QoS performance of user equipments (UEs) and bring coverage holes incurred by the SBS sleeping. To solve the problems, distance-sensitive distributed repulsive sleeping strategy (DSDRSS) has been proposed in [9]. The DSDRSS scheme inactivates all the SBSs within the certain area with light traffic load.…”

Section: Related Work 21 Sleep Control For Sbss In Hetnetsmentioning

confidence: 99%

“…One of the most attractive techniques for reducing power consumption and increasing energy efficiency is to integrate sleep control into SBSs. The existing schemes for SBS sleep control have been proposed, for example: random and repulsive schemes [8], distance-sensitive repulsive sleeping strategy [9], traffic based sleep control scheme [10], cell throughput based sleep control scheme [11], and adaptive SBS sleep control scheme [12]. Although these schemes can reduce power consumption and improve energy efficiency, they could degrade system throughput when compared with the no sleep control system.…”

Section: Introductionmentioning

confidence: 99%

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System Performance Enhancement with Energy Efficiency Based Sleep Control for 5G Heterogeneous Cellular Networks

2022

IJIES

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This paper presents an improved sleep control algorithm for small base stations (SBSs) in 5G New Radio (NR) heterogeneous cellular networks (HetNets). HetNets consist of various base station tiers, including macro base stations (MBSs) and small base stations (SBSs), and have been suggested as a promising solution to enhance wireless coverage and network capacity, employing many SBSs into the MBS coverage. However, power consumption increases significantly as a result of an increase in the number of the SBSs. To solve this problem, the SBS sleep control has been proposed to reduce power consumption for the SBSs and improves energy efficiency, whereas it deteriorates system throughput compared with no sleep control system, consequently degrading the quality of service (QoS) performance at user equipments (UEs). This paper proposes an enhanced algorithm for SBS sleep control based on energy efficiency as a decision criterion for SBS operating state. From the evaluation results through computer simulation, the proposed scheme can provide improved performance for both energy efficiency and system throughput simultaneously, that is it can improve energy efficiency while maintaining almost the same system throughput as the no sleep control system. Concretely, the proposed scheme has the 14.89% improvement in energy efficiency while providing almost the same system throughput of over 99%, compared with no sleep control system.

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Section: Related Work 21 Sleep Control For Sbss In Hetnetsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

System Performance Enhancement with Energy Efficiency Based Sleep Control for 5G Heterogeneous Cellular Networks

2022

IJIES

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“…Therefore, how to achieve EE BS sleeping while maintaining dependable coverage required for reliable QoS provisioning is still nontrivial . This paper tackles the above problem by proposing a distance‐sensitive distributed repulsive sleeping strategy (DSDRSS) based on the hard‐core point process (HCPP) . HCPP limits sleeping area called sleeping cluster (SC) with distance to provide the possibility for sensitively perceiving traffic changes.…”

Section: Introductionmentioning

confidence: 99%

“…21 This paper tackles the above problem by proposing a distance-sensitive distributed repulsive sleeping strategy (DSDRSS) based on the hard-core point process (HCPP). 22 HCPP limits sleeping area called sleeping cluster (SC) with distance to provide the possibility for sensitively perceiving traffic changes. Furthermore, remaining an SBS on in the SC could guarantee the coverage of UE.…”

Section: Introductionmentioning

confidence: 99%

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

Tang

Zhou

et al. 2019

Trans Emerging Tel Tech

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Base station (BS) sleeping technology has become one of the significant technologies in fifth‐generation green communications. However, enormous communication overhead and coverage holes produced by existing sleeping strategies will decline the robustness of the network. To tackle this problem, this paper proposes a distance‐sensitive distributed repulsive sleeping strategy (DSDRSS), based on hard‐core point process (HCPP). First, through information exchanges, presleeping BSs in the same region form a sleeping cluster (SC) whose size is limited by sleeping distance. Second, BSs in the SC perform BS sleeping with a mark method where BSs will be randomly assigned a mark, and BSs with the lowest mark will remain on to ensure the coverage. Third, to characterize the performance of DSDRSS, the analytical expressions of sleeping probability, coverage probability, and average achievable rate for user equipment (UE) under DSDRSS are derived. Finally, the coverage characteristics of UE under DSDRSS are analyzed and compared with those under different sleeping operations. DSDRSS realizes sleeping operations through the cooperation between BSs in an SC, not relying on the feedback links between a small BS and the control center. As a result, DSDRSS can not only enable flexible perception of traffic changes in sleeping area but also complete sleeping with less overhead. The simulation results show that DSDRSS supports more dependable coverage compared with random sleeping strategy and general repulsive sleeping strategy.

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Maximizing Sleeping Capacity Based on QoS Provision for Information-Centric Internet of Things

Tang²,

Ren³

2019

IEEE Access

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A Distance-Sensitive Distributed Repulsive Sleeping Strategy for Densely-Deployed Small Cells in Green Cities

Cited by 3 publications

References 16 publications

System Performance Enhancement with Energy Efficiency Based Sleep Control for 5G Heterogeneous Cellular Networks

System Performance Enhancement with Energy Efficiency Based Sleep Control for 5G Heterogeneous Cellular Networks

A distance‐sensitive distributed repulsive sleeping approach for dependable coverage in heterogeneous cellular networks

Maximizing Sleeping Capacity Based on QoS Provision for Information-Centric Internet of Things

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