Reducing power consumption by dynamic BBUs-RRHs allocation in C-RAN

Aldaeabool, S. R.; Abbod, Maysam F.

doi:10.1109/telfor.2017.8249289

Cited by 13 publications

(5 citation statements)

References 15 publications

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“…However, in [41], which is an extension of [40], the performance of the proposed method is evaluated through simulation and compared with the SINR-based scheme, cell range expansion, and the Min-power scheme, in terms of the number of satisfied users, active RRH for current users, and outrage probability for different call departure rates. The authors in [42] evaluated the performance of the proposed MBFD through simulation. They demonstrated that the MBFD algorithm yields higher performance than BFD and traditional networks in minimizing the number of active BBUs and the power consumption for normalized traffic load in C-RAN.…”

Section: Evaluation Techniques For Radio Resource Management Methodsmentioning

confidence: 99%

“…Aldaeabool et al [42] proposed a strategy for switching a BBU on/off according to the traffic load in the associated RRH by using a host server (HS) in the BBU pool, which assigns a newly arrived user to a certain BBU. They formulated an optimization problem of reducing the number of BBUs with low loads by transferring the load to neighboring BBUs with the available capacity.…”

Section: Power Control Schemesmentioning

confidence: 99%

See 1 more Smart Citation

Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Rodoshi

Kim

Choi

2020

Sensors

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Cloud radio access network (C-RAN) is a promising mobile wireless sensor network architecture to address the challenges of ever-increasing mobile data traffic and network costs. C-RAN is a practical solution to the strict energy-constrained wireless sensor nodes, often found in Internet of Things (IoT) applications. Although this architecture can provide energy efficiency and reduce cost, it is a challenging task in C-RAN to utilize the resources efficiently, considering the dynamic real-time environment. Several research works have proposed different methodologies for effective resource management in C-RAN. This study performs a comprehensive survey on the state-of-the-art resource management techniques that have been proposed recently for this architecture. The resource management techniques are categorized into computational resource management (CRM) and radio resource management (RRM) techniques. Then both of the techniques are further classified and analyzed based on the strategies used in the studies. Remote radio head (RRH) clustering schemes used in CRM techniques are discussed extensively. In this research work, the investigated performance metrics and their validation techniques are critically analyzed. Moreover, other important challenges and open research issues for efficient resource management in C-RAN are highlighted to provide future research direction.

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Section: Evaluation Techniques For Radio Resource Management Methodsmentioning

confidence: 99%

Section: Power Control Schemesmentioning

confidence: 99%

Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Rodoshi

Kim

Choi

2020

Sensors

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“…Compared with the existing method architecture, the proposed C-RAN architecture can minimize network overhead, minimize network cost, minimize energy consumption and maximize energy efficiency. The proposed work C-RAN architecture extended for utilization of Host manager server placing in a BBU pool [11]. In BBU pool, every BBU frequently provides information about the active / inactive status of BBU to Host manager.…”

Section: Proposed C-ran Architecture For Simulationmentioning

confidence: 99%

Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm

Adiraju

Rao

2022

EMITTER Int'l J. of Engin. Technol.

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5G network is the next generation for cellular networks to overcome the challenges and limitations of the 4G network. Cloud Radio Access Network(C-RAN) is providing solutions for cost-efficient and power-efficient solutions for the 5G network. The aim of this paper proposed an energy-efficient C-RAN to minimize the cost of the network by dynamically allocating BBU resources to RRHs as per facing traffic, and also minimize the energy consumption of centralized BBU resources that affect dynamically allocate of RRHs. Particle Swarm Optimization (PSO) algorithm is a Swarm Intelligence algorithm for optimization of mapping between BBU-RRH for resource allocation in C-RAN. The main objective of the paper is as per resource usage in C-RAN the BBU is put in the active or in-active mode to minimize energy consumption in C-RAN of 5G technology. As per our proposed C-RANapplication, the proposed PSO algorithm 90% minimizes energy consumption and maximizes energy efficiency compared with existing work.

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“…In the literature, the problem has been mostly formulated as bin packing minimization (BPM) problem and solved via [69][70], or meta-heuristic [71]. Although these efforts proved to be efficient for minimizing the active number of BBUs, they do not account for the user QoS requirement and the level of interference in the network, when forming RRHs clusters [72][73][74]. Different from the constraints-oblivious behaviour of these approaches, recent works included the QoS constraint by formulating the problem to a modified BPM [75] or to set the partitioning problem (SPP) [76].…”

Section: Ee Computational Resources Allocationmentioning

confidence: 99%

Virtual Networking for Lowering Cost of Ownership

Marzouk

Lashgari

Barraca

et al. 2021

Enabling 6G Mobile Networks

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5G and beyond mobile networks hold the promise of supporting a vast emergence of new services and increased traffic growth. This represents a challenge for mobile networks operators, which are faced with the pressure of providing a variety of these services according to the stringent requirements of future mobile network generations, while still being able to i) preserve service resilience ii) sustain profitability by reducing costs, and iii) ensuring minimal energy consumption in the infrastructure. Fortunately, emerging 5G and beyond networks are expected to adopt increasingly prominent technological drivers that can tackle the above challenges by pushing the planning and management operations logic to the limit.

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Reducing power consumption by dynamic BBUs-RRHs allocation in C-RAN

Cited by 13 publications

References 15 publications

Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Resource Management in Cloud Radio Access Network: Conventional and New Approaches

Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm

Virtual Networking for Lowering Cost of Ownership

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