QoS-priority based load balancing algorithm for LTE systems with mixed users

Chuai, Gang; Fanfan, Meng; Sun, Lijun

doi:10.1016/s1005-8885(15)60647-1

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…3) and, their optimization may present two conflicting objectives [17]. LB Algorithms, which are based on QoS constraints [4][5][6], optimize the SE as the throughput requirement (Equation 6) relies on an efficient use of bandwidth. As far as that goes, the solvers taking into account the SINR [8], walk in the same way because a low level of ICI means a good rate (Equation 5).…”

Section: Spectrum Time and Energy Modelmentioning

confidence: 99%

“…As soon as the standard LB scheme has been published, it has been demonstrated that its original formulation could be optimized in terms of SE and EE. Therefore, papers [4][5][6] approach the phenomenon with the same principle by considering the user quality of service (QoS) constraints. Differing from this approach, authors in [7] introduce an EE scaling factor as a criterion for target cell selection in LB procedure.…”

Section: Introductionmentioning

confidence: 99%

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Theory of Algorithm Suitability on Managing Radio Resources in Next Generation Mobile Networks

Fall

Zytoune

Yahyai

2018

JCOMSS

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Abstract-Beyond 2020, wireless networking model will be radically changed and oriented to business-driven concept as foreseen by the next generation mobile network (NGMN) alliance. As the available spectrum granted to a given operator is physically limited, new radio resource management techniques are required to ensure massive connectivity for wireless devices. Given this situation, in this paper we investigate how the key network functionalities as self-optimizing network (SON) must be thought to meet NGMN requirements. We propose therefore, algorithm suitability theory (AST) combined with the notion of network operator infrastructure convergence. The approach is based on software-defined networking (SDN) principle that allows an adaptability of the load balance algorithm to the dynamic network status. Besides, we use the concept of network function virtualization (NFV) that alleviates the constraint of confining the wireless devices to their home network operator only. Relying on these two technologies, we build AST through a lexicographic optimality criterion based on SPC (Status, Performance, and Complexity) order. Numerical results demonstrate a better network coverage verified by the improvement of metrics such as call blocking rate, spectrum efficiency, energy efficiency and load balance index.

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Section: Spectrum Time and Energy Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Theory of Algorithm Suitability on Managing Radio Resources in Next Generation Mobile Networks

Fall

Zytoune

Yahyai

2018

JCOMSS

View full text Add to dashboard Cite

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“…In [6] a practical multi-objective load balancing algorithm using Lagrange multiplier method was given. The simulation shows a significant improvement of Guaranteed Bit Rate of overall user satisfaction level and Best Effort users throughput in LTE networks by using the proposed algorithm.…”

Section: Introductionmentioning

confidence: 99%

“…The objective of this paper is to give literature contribution in LTE predictive MLB method based on previous research [3][4][5][6][7]. RSRQ is one of LTE measurement parameters that will be analyzed as the primary parameter because its formula ingredients consist of SINR and network load value ( ) , this presented in equation 7.…”

Section: Introductionmentioning

confidence: 99%

“…The option to use the RSRQ is to simplify the time required for executing the MLB [5]. Mobility randomness from each UE is analyzed and predicted using logarithmic regression in every 5 seconds period of the simulation which has been done with different method in [6], this procedure is executed to anticipate the handover decision delay before UEs enter the handover threshold region. In [8] UE's handover decision to neighbor cell occurs when in some period the handover requirements are fulfilled, while this paper's proposed method is to predict the handover requirement in every certain period in order to maintain the network load balance in a respectable range and increasing the total throughput.…”

Section: Introductionmentioning

confidence: 99%

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Analysis Of User Throughput Based Predictive Mobility Load Balancing Using Logarithmic Regression Of Reference Signal Received Quality In Long Term Evolution Radio Access Network

Danisya¹,

Munadi

Hertiana

2018

INFOTEL

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The improvement of Long Term Evolution (LTE) radio access network services is affecting the increased value of traffic load in its network, which is causing traffic unbalance between cells in LTE Radio Access Network (RAN). Users will be served with ineffective resource block allocation which will make the total of gained throughput are not optimal. A method is required to move network load from overloaded cells to underloaded cells in order to balance the resource block allocation optimally. By using NS-3.26 simulation, User Throughput Based (UTB) predictive Mobility Load Balancing (MLB) method is tested with RandomWalkMobilityModel for each user. This method produces an improvement of 2,29 % in average of total throughput of 63,33 % successful optimization.

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