Joint base station operation and user association in cloud based HCNs with hybrid energy sources

Xu, Hongzhang; Zhang, Tiankui; Zeng, Zhimin; Liu, Dantong

doi:10.1109/pimrc.2015.7343695

Cited by 9 publications

(14 citation statements)

References 10 publications

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“…On the other hand, authors in [79] insight coordinated small cell on/off policies providing traffic offloading from centralized macrocell BS. A combined energy aware UE-BS connection method and BS on/off operation state mechanism is analyzed to deal with network power consumption [80]. Reference [81] focused on the inherent benefits of energy aware metrics in terms of resource usage over the conventional traffic based cell zooming scheme.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

et al. 2021

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With the augmentation of affordable multimedia wireless gadgets, the ubiquitous availability of internet access and the rapid pace of mobile traffic motivate research towards fifth generation (5G) communications to realize energy-efficient cloud radio access networks (C-RAN) with guaranteed quality of experience. Exploiting green energy harvesting for powering the C-RAN substantially alleviates the energy procurement from the utility grid, carbon footprint and operational expenses. In this paper, we propose a new dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm emphasizing on achievable throughput and energy efficiency by reducing utility grid consumption from a network level perspective. This paper investigate the radio efficiency, energy efficiency (EE) and average on-grid energy saving addressing the key challenges of tempo-spatial dynamics of traffic intensity and renewable energy (RE) generation under a wide range of networks setup. Endeavoring load balancing technique strives a balance in network utilities such as green energy utilization and user association based on BS coordination in a cluster. Provision of cell sleep approach is contemplated for energy saving by turning off lightly base stations (BSs) during low traffic arrivals. The proposed CoMP based load balancing algorithm proficiently manages resource block allocation to the new users and elevated the energy efficiency over the conventional location and traffic centric mechanisms. Extensive system-level simulations manifest that the suggested framework enable adjustable trade-off between radio efficiency and EE, and saves 22% on-grid power consumption and increases EE index by 32%. Afterwards, an exhaustive comparison of the proposed method with the existing schemes is pledged for further validation highlighting sustainable 5G wireless systems.INDEX TERMS Energy efficiency, coordinated multipoint, hybrid power supply, centralized RAN, load balancing, cell zooming, green communication.

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Section: Related Workmentioning

confidence: 99%

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

et al. 2021

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“…Even though RE is potentially infinite, its limited availability results in uncertainty about the timing and quantity of energy collected. Thus, BSs are required to be equipped with a reliable Stand-alone with energy storage [14], [23], [25], [31], [34], [50], [56]- [77] On-grid without energy storage [38], [40], [42]- [44], [78]- [87] On-grid with energy storage [36], [37], [41], [45], [47], [60] [71], [72], [88]- [108] energy source, such as a power grid or energy storage system, to provide uninterrupted service for users. In this context, RE-powered BS can be classified according to whether it is connected to a grid (on-grid) or not (stand-alone) and whether it has an energy storage system or not, as depicted in Fig.…”

Section: F Types Of Re-powered Bsmentioning

confidence: 99%

Renewable Energy-Enabled Cellular Networks

Ko¹,

Jung²,

Park³

et al. 2021

Preprint

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<div> <div> <div> <p>Renewable energy (RE)-powered base stations (BSs) have been considered as an attractive solution to address the exponential increasing energy demand in cellular networks while decreasing carbon dioxide (CO2) emissions. For the regions where reliable power grids are insufficient and infeasible to deploy, such as aerial platforms and harsh environments, RE has been an alternative power source for BSs. In this survey paper, we provide an overview of RE-enabled cellular networks, detailing their analysis, classification, and related works. First, we introduce the key components of RE-powered BSs along with their frequently adopted models. Second, we analyze the proposed strategies and design issues for RE-powered BSs that can be incorporated into cellular networks and categorize them into several groups to provide a good grasp. Third, we introduce feasibility studies on RE-powered BSs based on the recent literature. Fourth, we investigate RE-powered network components other than terrestrial BSs to address potential issues regarding RE-enabled networks. Finally, we suggest future research directions and conclusions. </p><p><br></p> </div> </div> </div>

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“…Authors in [19] propose hybrid scenarios with on-grid and renewable energy powered small cells coexisting by means of coordinated ON/OFF small cell layer schemes, while providing offloading support for the load of macrocellular layer. A Hybrid Hetnet cloud based scenario is studied in [20], while proposing a joint energy aware centralized scheme which splits the solution for 1) UE association method for short-timescale rapid traffic fluctuations 2) a BS Operation (ON/OFF) state mechanism in order to deal with the overall network consumption. Other approaches like [21] consider more innovative heterogeneous scenarios including Drone BS systems which could provide support to the land infrastructure and facilitate the topology reconfiguration.…”

Section: Related Workmentioning

confidence: 99%

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

Fletscher¹,

Suárez²,

Grace

et al. 2019

IEEE Trans. Netw. Serv. Manage.

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Abstract-In this paper, we focus on reducing the on-grid energy consumption in Heterogeneous Radio Access Networks (HetNets) supplied with hybrid power sources (grid and renewables). The energy efficiency problem is analyzed over both short-and long-timescales by means of reactive and proactive management strategies. For short-timescale case, a renewable-energy aware User Equipment (UE)-Base Station (BS) association is proposed and analyzed for the cases when no storage infrastructure is available. For long-timescale case, a traffic flow method is proposed for load balancing in renewable energy BSs, which is combined with a model predictive controller (MPC) to include forecast capabilities of the renewable energy source behavior in order to better exploit a Green HetNet with storage support. The mechanisms are evaluated with data of solar measurements from the region of Valle de Aburrá, Medellín, Colombia and wind estimations from the Moscow region, Russian Federation. Results show how the green association proposal can reduce ongrid energy consumption in a HetNet by up to 34%, while is able to exceed the savings obtained by other methods, including the best-signal level policy by up to 15%, additionally providing high network efficiency and low computational complexity. For the long-timescale case, MPC attainable savings can be up to 22% with respect to the on-grid only Macro-BS approach. Finally, an analysis of our proposals in a common scenario is included, which highlights the relevance of storage management, although emphasizing the importance of combining reactive and proactive methods in a common framework to exploit the best of each approach.

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Joint base station operation and user association in cloud based HCNs with hybrid energy sources

Cited by 9 publications

References 10 publications

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks

Renewable Energy-Enabled Cellular Networks

Energy-Aware Resource Management in Heterogeneous Cellular Networks With Hybrid Energy Sources

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