Call admission control scheme for LTE femtocell-macrocell integrated system

Badri, Tijane Fatima Zohra; Saadane, Rachid; Wahbi, Mohammed; Mbarki, Samir

doi:10.1109/icmcs.2014.6911209

Cited by 4 publications

(8 citation statements)

References 6 publications

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“…As an extension of the work in [10], the authors in [11] proposed an optimized handover based on reference signal received power (RSRP), speed of UE, traffic load of target cell, and handover admission control, where the power of BSs can be saved by turning off BSs with low traffic load after concentrating traffic load to BSs with high traffic load, as shown in Fig. 2.…”

Section: Figure 1 Separation Of Data Plane and Control Plane For 5g mentioning

confidence: 99%

“…In call admission control scheme [10], possible cases of handover in heterogeneous networks are classified, call is admitted based on the signal-to-noise-plus-interference ratio (SINR), signal level, speed of UE, and unnecessary handover signaling is reduced. As an extension of the work in [10], the authors in [11] proposed an optimized handover based on reference signal received power (RSRP), speed of UE, traffic load of target cell, and handover admission control, where the power of BSs can be saved by turning off BSs with low traffic load after concentrating traffic load to BSs with high traffic load, as shown in Fig.…”

Section: Figure 1 Separation Of Data Plane and Control Plane For 5g mentioning

confidence: 99%

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A Novel Handover Scheme based on Context Information in 5G Network

Seo¹,

Chung²

2017

WJWDE

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Section: Figure 1 Separation Of Data Plane and Control Plane For 5g mentioning

confidence: 99%

Section: Figure 1 Separation Of Data Plane and Control Plane For 5g mentioning

confidence: 99%

A Novel Handover Scheme based on Context Information in 5G Network

Seo¹,

Chung²

2017

WJWDE

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“…Also, a call is admitted based on the signal-to-noise-plus-interference ratio (SINR), signal level, speed of UE, so unnecessary handover signaling can be reduced. As an extension of the work in [35], the authors in [36] proposed an optimized CAC-based handover based on context information such as reference signal received power (RSRP), speed of UE, traffic load of target cell, and handover admission control. In the optimized CAC-based handover [36], traffic load is directed to some BSs with high traffic load.…”

Section: Introductionmentioning

confidence: 99%

“…Also, context information on data type of a service, i.e., low rate data traffic or high rate data traffic, was not considered for handover decisions. To extend the previous works on CAC-based handover [35,36], we consider a new heterogeneous network architecture in 5G networks with separate data and control planes, where a macro cell BS manages control signals and a small cell BS manages data. In addition to previously used context information such as RSRP, speed of UE, traffic load of target cell, and admission In [39], the authors used the concept of information theory for the efficient mobility and resource management in future cellular networks, which are two main problems in cellular networks.…”

Section: Introductionmentioning

confidence: 99%

“…Then, they derive maximum p and R, while satisfying the outage constraints. In a call admission control (CAC)-based handover scheme [35], the authors classified the types of handovers in heterogeneous networks. Also, a call is admitted based on the signal-to-noise-plus-interference ratio (SINR), signal level, speed of UE, so unnecessary handover signaling can be reduced.…”

Section: Introductionmentioning

confidence: 99%

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Modeling and Performance Evaluation of a Context Information-Based Optimized Handover Scheme in 5G Networks

Seo

Chung

2017

Entropy

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Abstract:Recently, green networks are considered as one of the hottest topics in Information and Communication Technology (ICT), especially in mobile communication networks. In a green network, energy saving of network nodes such as base stations (BSs), switches, and servers should be achieved efficiently. In this paper, we consider a heterogeneous network architecture in 5G networks with separated data and control planes, where basically a macro cell manages control signals and a small cell manages data traffic. Then, we propose an optimized handover scheme based on context information such as reference signal received power, speed of user equipment (UE), traffic load, call admission control level, and data type. In this paper, the main objective of the proposed optimal handover is either to reduce the number of handovers or the total energy consumption of BSs. To this end, we develop optimization problems with either the minimization of the number of total handovers or the minimization of energy consumption of BSs as the objective function of the optimization problem. The solution of the optimization problem is obtained by particle swarm optimization, since the developed optimization problem is an NP hard problem. Performance analysis results via simulation based on various probability distributions of the characteristics of UE and BS show that the proposed optimized handover based on context information performs better than the previous call admission control based handover scheme, from the perspective of the number of handovers and total energy consumption. We also show that the proposed handover scheme can efficiently reduce either the number of handovers or the total energy consumption by applying either handover minimization or energy minimization depending on the objective of the application.

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