Energy Efficient Resource Allocation in Heterogeneous Cloud Radio Access Networks

He, Xiangyu; He, Anqi; Chen, Yue; Chai, Kok Keong; Zhang, Tiankui

doi:10.1109/wcnc.2017.7925673

Cited by 13 publications

(12 citation statements)

References 18 publications

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“…The energy efficiency of H-CRAN has been explored in [123]- [133]. In [125], the authors study a joint optimization solution for the assignment of resource blocks and allocation of power in order to maximize the performance of energy efficiency in OFDMA-based H-CRAN.…”

Section: ) Energy Consumptionmentioning

confidence: 99%

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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The fifth generation (5G) of mobile communication system aims to deliver a ubiquitous mobile service with enhanced quality of service (QoS). It is also expected to enable new use-cases for various vertical industrial applications-such as automobiles, public transportation, medical care, energy, public safety, agriculture, entertainment, manufacturing, and so on. Rapid increases are predicted to occur in user density, traffic volume, and data rate. This calls for novel solutions to the requirements of both mobile users and vertical industries in the next decade. Among various available options, one that appears attractive is to redesign the network architecture-more specifically, to reconstruct the radio access network (RAN). In this paper, we present an inclusive and comprehensive survey on various RAN architectures toward 5G, namely cloud-RAN, heterogeneous cloud-RAN, virtualized cloud-RAN, and fog-RAN. We compare them from various perspectives, such as energy consumption, operations expenditure, resource allocation, spectrum efficiency, system architecture, and network performance. Moreover, we review the key enabling technologies for 5G systems, such as multi-access edge computing, network function virtualization, softwaredefined networking, and network slicing; and some crucial radio access technologies (RATs), such as millimeter wave, massive multi-input multi-output, device-to-device communication, and massive machinetype communication. Last but not least, we discuss the major research challenges in 5G RAN and 5G RATs and identify several possible directions of future research.

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Section: ) Energy Consumptionmentioning

confidence: 99%

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

et al. 2019

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“…The resource management problem including RRA and PA for mobile user equipments (UEs) in H-CRAN has been studied in many research works. [4][5][6][7][8][9][10][11][12][13][14][15][16][17] In the work of Peng et al, 4 joint resource assignment and PA algorithm is suggested for H-CRAN to maximize the energy efficiency through enhancing the traditional soft fractional frequency reuse. The problem is designed as a nonconvex objective function, and then, it is reformulated as an equivalent convex feasibility and resolved using Lagrange dual decomposition technique.…”

Section: Related Workmentioning

confidence: 99%

“…Zheng et al 20 have studied the power control problem for interference management in SC networks, which is formulated to maximize the sum rate of all the SCs while maintaining the quality of service (QoS) of macro cell users. The resource allocation problem in the multicell orthogonal frequency-division multiple access networks, which consists of user scheduling, and PA has been tackled in the work of Zheng et al 21 All of the aforementioned research works [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] have not been deemed the fronthaul capacity constraints and the intra-tier interference except the works of Zhan and Niyato, 13 Sun et al, 15 and Zhang et al, 19 which consider the latter constraint only. Actually, optical fiber is proposed as the ideal solution to provide high capacity fronthaul connections; however, it cannot be practically utilized in ultra-dense SCs' deployment due to its high cost.…”

Section: Related Workmentioning

confidence: 99%

“…In other work of Peng et al, a contract‐based interference coordination framework is proposed to maximize the network performance through finding an optimal contract design in H‐CRAN. In the work of He et al, the RRA problem is formulated as a NP‐hard problem and converted into green power utilization maximization problem, which is solved by Lagrange dual decomposition technique in two‐tier H‐CRAN. However, all the aforementioned studies– are not consider intra‐tier interference and do not take into consideration the fronthaul capacity constraint.…”

Section: Introductionmentioning

confidence: 99%

“…In the work of He et al, the RRA problem is formulated as a NP‐hard problem and converted into green power utilization maximization problem, which is solved by Lagrange dual decomposition technique in two‐tier H‐CRAN. However, all the aforementioned studies– are not consider intra‐tier interference and do not take into consideration the fronthaul capacity constraint. Moreover, the work of Peng et al is based on the soft fractional frequency reuse strategy to mitigate the inter‐cell interference, which has a worse performance in terms of spectral efficiency compared to the unity frequency reuse case.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint radio resource and power allocation using Nash bargaining game for H‐CRAN with nonideal fronthaul links

Esmat

Elmesalawy

Abdelhakam

2018

Trans Emerging Tel Tech

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Heterogeneous cloud radio access network (H‐CRAN) is introduced as a novel network architecture that takes the full rewards of both heterogeneous cellular network (HCNs) and cloud radio access network (CRAN). In H‐CRAN architecture, the remote radio heads of small cells (SCs) are overlaid within the coverage of macro cell and linked to the baseband unit pool through nonideal fronthaul connections. To improve the spectral efficiency of this network, the SCs are developed to reuse the same resources used by the macro cell. However, this will introduce inter‐tier interference between macro cell and SCs and intra‐tier interference among SCs that need to be efficiently managed. In this paper, the joint problem of radio resource and power allocation in H‐CRAN is formulated using cooperative Nash bargaining game. This optimization problem is designed to maximize the total throughput of SCs, while considering the fairness between user equipments (UEs) in each SC, interference protection requirements for macro UEs, outage probability requirements, and the capacity limitation of nonideal fronthaul connections. Then, by using Lagrangian dual decomposition, the near‐optimal bargaining allocation strategy for radio resources and power of each SC UE is determined. Simulation results illustrate that the performance of the suggested algorithm outperforms the other comparable algorithm in terms of the SCs' achieved throughput and fairness. Moreover, the effect of nonideal fronthaul capacity constraint and the interference protection limit of macro UEs on the performance of the suggested scheme are examined.

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A review on energy management issues for future 5G and beyond network

Malathy¹,

Jayarajan²,

Ojukwu

et al. 2021

Wireless Netw

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Energy Efficient Resource Allocation in Heterogeneous Cloud Radio Access Networks

Cited by 13 publications

References 18 publications

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

A Comprehensive Survey of RAN Architectures Toward 5G Mobile Communication System

Joint radio resource and power allocation using Nash bargaining game for H‐CRAN with nonideal fronthaul links

A review on energy management issues for future 5G and beyond network

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