Load balancing effect of inter-frequency handover with pilot power tuning in UTRAN

Kashima, Tsuyoshi; Zhu, Houtao

doi:10.1109/vetecs.2004.1390619

Cited by 5 publications

(7 citation statements)

References 7 publications

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“…We use a system model with a cluster of 7 cells (cell 1 ~ cell 7 ). There is cell 1 in the middle of a cluster and adjacent BSs reside around cell 1…”

Section: Recongifurationmentioning

confidence: 99%

“…There are several proposals to resolve load imbalance in mobile communication networks [1][2][3][4][5][6][7][8][9][10][11][12]. In [1][2][3][4], mobile stations (MSs) at the cell edge were handed over to neighbor base station (BS) with the strongest signal by reducing the pilot power of BS.…”

Section: Introductionmentioning

confidence: 99%

“…In [1][2][3][4], mobile stations (MSs) at the cell edge were handed over to neighbor base station (BS) with the strongest signal by reducing the pilot power of BS. However, one of the problems associated with adjusting the pilot power is the occurrence of coverage holes and neighboring BSs may then fail to provide services to some handover users.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Distributed Load Balancing with Handovers over Mobile Cellular Networks Using Supervisory Control

Byun¹,

Yang²

2011

Journal of Institute of Control, Robotics and Systems

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This paper proposes a scheme for distributed load balancing in mobile communication networks based on supervisory control framework. Using load information exchanged with neighboring cells, the "supervisors" that reside in the base stations distribute load among cells by controlling handover parameters in a distributed manner. The supervisors are designed so that the load difference among neighboring cells are kept under a pre-defined value. Results from systematic analysis and simulation indicate that our scheme effectively balances traffic load among cells and reduces call blocking rate of the overloaded cells.

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“…We use a system model with a cluster of 7 cells (cell 1 ~ cell 7 ). There is cell 1 in the middle of a cluster and adjacent BSs reside around cell 1…”

Section: Recongifurationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Load Balancing with Handovers over Mobile Cellular Networks Using Supervisory Control

Byun¹,

Yang²

2011

Journal of Institute of Control, Robotics and Systems

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“…It's also indicated that load balancing can suppress the load fluctuation, resulting in lower probability of overloading and higher system stability [9]. Accordingly, many algorithms have been proposed in both homogeneous and heterogeneous radio environments.…”

Section: Related Workmentioning

confidence: 99%

An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

Zhang

et al. 2007

Wireless Pers Commun

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In this paper, an adaptive threshold load balancing (ATLB) scheme is proposed for the joint load control (JOLDC) in the end-to-end reconfigurable system. The dynamic threshold based on heterogeneous load measurement is designed to adapt to varying load conditions for efficient resource utilization, while the network-initiated vertical handover (NIVHO) process is adopted for the timely control by exploiting the network-controlled reconfiguration management. Furthermore, considering terminal reconfigurability and the service variety, a multi-objective terminal selection algorithm is designed for NIVHO to minimize the system overhead and the impact on end-users. Simulation results show that the proposed scheme is effective in relieving congestion and improving system performance across the overlapped heterogeneous radio networks as well as the users' satisfaction.

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“…There are several proposals to resolve load imbalance in mobile communication networks [1][2][3][4][5][6][7][8][9][10][11]. One option is to hand over mobile stations (MSs) at the cell edge to the neighboring base station (BS) with the strongest signal by reducing the pilot power of the BS [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Automatic handover control for distributed load balancing in mobile communication networks

Byun

2011

Wireless Netw

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In this paper, we propose an auto-tuning of mobility algorithm in the mobile communication systems as a load balancing self-optimization use case. This paper presents a distributed approach in which the traffic load can be balanced systematically by utilizing the effective load information of neighboring cells. The proposed load balancing scheme detects a load imbalance in the network and resolves the problem automatically by controlling the handover parameter as a nonlinear function of the load difference. Based on control theory, we analyze the adaptive behavior of the proposed controller and derive condition for system stability. Results from asymptotic analysis and simulation indicate that the proposed local controller of each individual cell effectively achieves the global properties, such that the load difference in the network is stabilized globally within a predetermined threshold. Extensive simulation results also show that the proposed scheme outperforms the existing methods by reducing call blocking rate of the overloaded cells.

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Load balancing effect of inter-frequency handover with pilot power tuning in UTRAN

Cited by 5 publications

References 7 publications

Distributed Load Balancing with Handovers over Mobile Cellular Networks Using Supervisory Control

Distributed Load Balancing with Handovers over Mobile Cellular Networks Using Supervisory Control

An Adaptive Threshold Load Balancing Scheme for the End-to-End Reconfigurable System

Automatic handover control for distributed load balancing in mobile communication networks

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