Energy efficient handover algorithm for green radio networks

Araniti, Giuseppe; Cosmas, John; Molinaro, Antonella; Orsino, Antonino; Scopelliti, Pasquale

doi:10.1109/bmsb.2014.6873558

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…In recent years, research on handoff is focused mainly on HetNets operating in the band of traditional frequency 900MHz-2.4GHz and considering one or more factors including RSRP, QoS of UEs, UE mobility characteristics, BS load, etc. [8], [9], [10], [11], [12]. In [8], a handoff policy is proposed that considers context parameters, such as user speed, channel gains and cell load information.…”

Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

“…They combined handoff decisions with BS sleeping policy so as to improve system energy efficiency. [10] and [11] are mainly focused on the improvement of handoff trigger conditions. The authors in [10] proposed a new handoff triggering mechanism named Network Controlled Handover (NCH) for 3GPP Long Term Evolution (LTE) HetNets.…”

Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

“…NCH can optimize handoff trigger parameters such as Channel Quality Indication (CQI) threshold based on the statistics of the handoff performance. In [11], the authors proposed a new handoff algorithm aiming at the efficient management of BSs transmitted power and the reduction of unnecessary handoffs. The authors of [12] proposed a novel handoff policy based on cooperationbased cell clustering in densely deployed HetNets to reduce handoff signaling overhead.…”

Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

See 2 more Smart Citations

The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks

Sun

Feng

Qin

et al. 2018

IEEE Trans. on Mobile Comput.

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The millimeter wave (mmWave) radio band is promising for the next-generation heterogeneous cellular networks (HetNets) due to its large bandwidth available for meeting the increasing demand of mobile traffic. However, the unique propagation characteristics at mmWave band cause huge redundant handoffs in mmWave HetNets that brings heavy signaling overhead, low energy efficiency and increased user equipment (UE) outage probability if conventional Reference Signal Received Power (RSRP) based handoff mechanism is used. In this paper, we propose a reinforcement learning based handoff policy named SMART to reduce the number of handoffs while maintaining user Quality of Service (QoS) requirements in mmWave HetNets. In SMART, we determine handoff trigger conditions by taking into account both mmWave channel characteristics and QoS requirements of UEs. Furthermore, we propose reinforcement-learning based BS selection algorithms for different UE densities. Numerical results show that in typical scenarios, SMART can significantly reduce the number of handoffs when compared with traditional handoff policies without learning.

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Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

Section: Handoff Strategies For Traditional Hetnetsmentioning

confidence: 99%

See 1 more Smart Citation

The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks

Sun

Feng

Qin

et al. 2018

IEEE Trans. on Mobile Comput.

View full text Add to dashboard Cite

show abstract

“…The proposed mechanism makes use of a central server and the ANDSF protocol to provide energy efficiency and to balance the user preferences and their energy requirements. Araniti et al [10] propose a new handover algorithm in LTE HetNets by making use of green policies to provide an efficient management of the base stations transmitted power and reduce the unnecessary handovers of the mobile devices. Other solutions exploit the use of stochastic geometry when studying the practical implications of small cell deployment in various propagation environment models within the HetNet environment [11] [12].…”

Section: Related Workmentioning

confidence: 99%

UEFA-M: Utility-based energy efficient adaptive multimedia mechanism over LTE HetNet small cells

Trestian

Vien

Shah

et al. 2017

2017 International Symposium on Wireless Communication Systems (ISWCS)

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Abstract-The emerging advances in mobile computing devices enable the adoption of new services like video over LTE (ViLTE), augmented and virtual reality, omnidirectional video, etc. However, these new services cannot be technologically achievable within the current networks without a rethink in the network architecture. A simple increase in system capacity will not be enough without considering the provisioning of Quality of Experience (QoE) as the basis for network control, customer loyalty and retention rate and thus increase in network operators' revenue. This paper proposes an Utility-based Energy eFficient Adaptive Multimedia Mechanism (UEFA-M) over the LTE HetNet Small Cells environment that combines the use of utility theory and the concept of proactive handover to enable the adaptation of the multimedia stream ahead of the handover process in order to provide a seamless QoE to the mobile user and energy savings for their mobile device. Mathematical models for energy and quality are derived from previous real experimental data and integrated in the adaptation mechanism using the utility theory. The performance of the proposed adaptive multimedia scheme is analyzed and compared against a non-adaptive solution in terms of energy efficiency and Mean Opinion Score (MOS).

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“…In particular, differently from the algorithms proposed in [12], [13], we design a decision making algorithm that triggers a handover based on a new metric called Reference Base Station Efficiency (RBSE). This parameter takes into account three metrics: (i) the BS transmitted power, (ii) the BS traffic load and (iii) the users' spectral efficiency.…”

Section: Introductionmentioning

confidence: 99%

Effective RAT Selection Approach for 5G Dense Wireless Networks

Orsino

Araniti

Molinaro

2015

2015 IEEE 81st Vehicular Technology Conference (VTC Spring)

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Dense Networks (DenseNet) and Multi-Radio Access Technologies (Multi-RATs) are considered as key features of the emerging fifth generation (5G) wireless systems. A Multi-RAT DenseNet is characterized by a very dense deployment of low-power base stations (BSs) and by a multi-tier architecture consisting of heterogeneous radio access technologies. In this work, we propose an effective RAT selection algorithm that efficiently manages the RAT handover procedure by (i) choosing the most suitable RAT that guarantees high system and user performance, and (ii) reducing unnecessary handover events. In particular, the decision to trigger a handover is based on a new system parameter named Reference Base Station Efficiency (RBSE). This parameter takes into account metrics related to both the system and the user: the BS transmitted power, the BS traffic load and the users' spectral efficiency. We compare, by simulation, the proposed scheme with the standardized 3GPP policies. Results show that the proposed RAT selection scheme significantly reduces the number of handovers and the end-toend delay while maintaining high system throughput and user spectral efficiency.

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Energy efficient handover algorithm for green radio networks

Cited by 11 publications

References 13 publications

The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks

The SMART Handoff Policy for Millimeter Wave Heterogeneous Cellular Networks

UEFA-M: Utility-based energy efficient adaptive multimedia mechanism over LTE HetNet small cells

Effective RAT Selection Approach for 5G Dense Wireless Networks

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