An eco-inspired energy efficient access network architecture for next generation cellular systems

Hossain, Md. Farhad; Munasinghe, Kumudu S.; Jamalipour, Abbas

doi:10.1109/wcnc.2011.5779271

Cited by 30 publications

(23 citation statements)

References 9 publications

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“…This algorithm is firstly described in [13]. Other authors extend the work in this direction by providing solutions which deals with proper load balancing and congestion management in works like [14] and [15]. The work is further extended in [16], which provides insights on how to perform the cellbreathing, BS switching-off and traffic offloading for Hetnets with small cells.…”

Section: Related Workmentioning

confidence: 99%

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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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Section: Related Workmentioning

confidence: 99%

“…The constraint in Eq. (15) specifies that the flow between two BSs cannot exceed the limits established by the potential flows matrix. Constraint in Eq.…”

Section: Proactive Control Scheme: Traffic Flow -Mpcmentioning

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.

View full text Add to dashboard Cite

show abstract

“…For the conventional cellular networks, dynamic switching off of BSs has been extensively studied in [11,16,[21][22][23][24][25][26]. A solution proposed in [21] automatically switch off appropriate BSs or sectors, which become the compensation area needed to be covered through the tilting of antennas in the neighboring BSs.…”

Section: Related Workmentioning

confidence: 99%

“…A solution proposed in [21] automatically switch off appropriate BSs or sectors, which become the compensation area needed to be covered through the tilting of antennas in the neighboring BSs. A novel energy-efficient cellular access network architecture based on the principle of ecological protocooperation was proposed in [22], which indicates that BSs can cooperatively and dynamically make intelligent decisions based on thresholds for switching between different power modes according to traffic conditions. Similarly, a transmission power increment is required for compensating the areas of switched off BSs.…”

Section: Related Workmentioning

confidence: 99%

Dynamic switching off algorithms for pico base stations in heterogeneous cellular networks

Jin

Jiang

et al. 2015

J Wireless Com Network

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The densification of pico base stations (PBSs) in heterogenous cellular networks (Hetnets) causes redundant energy consumption of the whole network during low traffic periods. In order to address this problem, we take advantage of the traffic load fluctuation over time and area to adapt the necessary resource to the actual traffic demand by introducing sleep mode to the PBSs. To achieve this target, we propose two centralized algorithms (i.e., the heuristic algorithm and the progressive algorithm) in this paper to dynamically switch off the unnecessary PBSs, both of which can track the traffic variation well. We design a utility function of some key factors considered particularly for PBSs in Hetnets. These algorithms rely on the utility function to switch off the redundant PBSs, enabling the working mode of all PBSs be reconfigured periodically. The progressive algorithm is proposed to overcome the inefficiency of the heuristic algorithm. The simulations demonstrate that the execution time of the progressive algorithm is at most one third of that of the heuristic algorithm, which enables the network to respond to the traffic variation more promptly. Besides, the progressive algorithm can switch off more PBSs than the heuristic algorithm while slightly affects the network blocking probability, which indicates that the progressive algorithm has a better potential to save energy. Moreover, simulations also reveal that some key parameters all have nonnegligible influence on the performance of our algorithms. These parameters should be tuned well to trade spare network resource for energy saving.

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“…The algorithm continues till there are not candidates to switch off. Moreover, in [31], a cell-breathing Figure 5 Cell shape adaptation in function of traffic distribution. The traffic pattern is the main input, which permits to shape the cell deployment, i.e.…”

Section: Cell Shaping Techniquesmentioning

confidence: 99%

An overview and classification of research approaches in green wireless networks

Suárez¹,

Nuaymi²,

Bonnin³

2012

J Wireless Com Network

103

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Energy consumption of wireless networks is now a very important research topic and several research teams worldwide are proposing solutions for the so-called green wireless networks, i.e. energy-efficient wireless networks. Although the increase of this research activity is rather recent, a great number of research papers and collaborative projects exist nowadays. We first summarise the metrics used in the related literature for performance evaluation. Then, we focus on describing the current approaches proposed by reviewing a good number of references from literature. The main research directions are presented: the component level research, where the efforts are mainly concentrated on the power amplifier section; the cell layout adaptation including the cell-breathing technique and coverage extension methods like femtocells and relays; in addition, we also include the radio resource management and the cognitive radio into the studied approaches. These methods are analysed, compared, classified and then a framework of classification and integration is proposed. We finally describe some major collaborative projects dedicated to this topic.

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An eco-inspired energy efficient access network architecture for next generation cellular systems

Cited by 30 publications

References 9 publications

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

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

Dynamic switching off algorithms for pico base stations in heterogeneous cellular networks

An overview and classification of research approaches in green wireless networks

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