QoS-Aware Energy-Efficient Joint Radio Resource Management in Multi-RAT Heterogeneous Networks

Carvalho, Glaucio H. S.; Woungang, Isaac; Anpalagan, Alagan; Hossain, Ekram

doi:10.1109/tvt.2015.2478852

Cited by 33 publications

(31 citation statements)

References 37 publications

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“…Nowadays, mobile operators see network offloading as the key towards relieving congestion in 4G/5G networks. In such a way, several research works have addressed the problem of load balancing in mobile networks during the last years . Nonetheless, deriving a dynamic optimal load balancing proposal that combines delay and energy awareness is challenging.…”

Section: Related Workmentioning

confidence: 99%

Delay‐ and energy‐aware load balancing in ultra‐dense heterogeneous 5G networks

Taboada

Aalto

Lassila

et al. 2017

Trans. Emerging Tel. Tech.

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In the context of ultra‐dense heterogeneous networks in 5G, we focus on the load balancing problem of elastic traffic in a single macrocell that is supported by a number of small cells. Each small cell is modeled by a single‐class processor sharing queue, whereas the macrocell is modelled by a multiclass processor sharing queue. We assume that the macrocell is always consuming energy, while a small cell can be switched off when it is idle with the setup delay penalty. As the main contribution, aimed at minimizing the weighted sum of the mean delay and the mean power consumption in the system, we develop static and dynamic load balancing policies that take into account the setup delay. All the obtained results are analytically founded. The performance of the static policy is evaluated using the achieved analytical expressions, which include the static optimal probabilities achieved before, whereas for the dynamic policy we need to perform simulations using previously obtained numerical results from the first policy iteration procedure. As concluded, numerical results indicate that the dynamic policy outperforms the static policy under realistic settings.

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Section: Related Workmentioning

confidence: 99%

Delay‐ and energy‐aware load balancing in ultra‐dense heterogeneous 5G networks

Taboada

Aalto

Lassila

et al. 2017

Trans. Emerging Tel. Tech.

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“…This work is later complemented in [17] which deals in addition with hybrid energy for HetNets by proposing a UE-BS association multimetric approach. In [18] authors present a combined radio resource management for green Het-Nets which use differentiated policies based on traffic which emphasizes sleep modes for low traffic and load balancing for higher traffic demands. 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.…”

Section: Related Workmentioning

confidence: 99%

“…a max. number of users simultaneously) [18]. If the number of active users is larger than the available resources in a BS and association with another BS is not possible, a new incoming user cannot be served.…”

Section: Traffic Modelmentioning

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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“…In fact, different techniques have been used to achieve energy efficiency such as infrastructure sharing [15], [16], BS ON/OFF switching [17]- [19], radio resource management [20], [21], and energy harvesting from renewable sources to power BSs [7]- [9]. In [15], [16], infrastructure sharing approaches are proposed where multiple cellular operators use the same radio access network infrastructure to reduce the otherwise redundant capacity of BSs that results in energy inefficiency.…”

Section: A Related Workmentioning

confidence: 99%

“…On the other hand, [17]- [19] propose different strategies based on turning off underutilized BSs and increasing the coverage of the remaining BSs to improve energy utilization of the network. In [20], [21], energy efficient radio resource management frameworks are proposed for heterogeneous networks that employ multiple radio access technologies. However, the most promising and currently deployed energy-efficient solutions are based on the use of RE to power cellular networks [7]- [9].…”

Section: A Related Workmentioning

confidence: 99%