An Automation PCI Allocation Method for eNodeB and Home eNodeB Cell

Wu, Tung Ying; Rui, Lanlan; Xiong, Ao; Guo, Shaoyong

doi:10.1109/wicom.2010.5600764

Cited by 18 publications

(6 citation statements)

References 5 publications

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“…In the meantime, some studies built combinatorial optimization models for PCI planning and solved them with intelligence algorithm, e.g., genetic algorithms [20], [21]. Besides, based on the considerations of collision and confusion free between cells of different layers, some recent works have extended the analysis of PCI planning to heterogeneous LTE network [22]- [24].…”

Section: B Related Workmentioning

confidence: 99%

PCI Planning Based on Binary Quadratic Programming in LTE/LTE-A Networks

2019

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In recent years, interference has played an increasingly significant part in bulkier and denser Long Term Evolution (LTE/LTE-Advanced) networks. Though intra-cell interference is successfully improved by Orthogonal Frequency Division Multiple Access (OFDMA), inter-cell interference (ICI) could cause a degradation of throughput and significantly impact Signal-to-Noise-Ratio (SINR) in the downlink (DL) network. Physical Cell ID (PCI) planning, an effective approach to eliminate ICI, is required to reduce collision, confusion and mod q interference, where q = 3 for Single-Input Single-Output (SISO) system, and q = 6 for Multiple-Input Multiple-Output (MIMO) system. In this study, a new definition of neighborhood relations was proposed based on the measurement report (MR) data in the actual network. Binary quadratic programming (BQP) model was built for PCI planning through a series of model deductions and mathematical proofs. Since BQP is known as NP-hard, a heuristic Greedy algorithm was proposed and its low complexity both in time and space can ensure large-scale computing. Finally, based on the raw data extracted from the actual SISO system network and the simulation calculation of MATLAB, the experimental results demonstrated that Greedy algorithm not only eliminates conflict and confusion completely, but also reduces the mod 3 interference of 26.213% more than the baseline scheme and far more than the improvement ratio of 4.436% given by the classical graph coloring algorithm.

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Section: B Related Workmentioning

confidence: 99%

PCI Planning Based on Binary Quadratic Programming in LTE/LTE-A Networks

2019

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“…For example, in [7], authors proposed two policybased automation PCI allocation methods depending on the number of FAPs and PCIs available for assignment, i.e. for rural and urban areas, respectively.…”

Section: Related Workmentioning

confidence: 99%

Cell Identifier Assignment in Two-Tier Femtocell Networks

Oppolzer

Bestak

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Small cells, mainly femtocells, are believed to be a way how to deal with mobile data traffic growth in the upcoming years. To enable easy and massive femtocell deployments, a distributed method of Physical Cell Identifier (PCI) assignment should be implemented in Femtocell Access Points among other self-organizing functionalities. In this paper, we propose such a distributed algorithm enabling correct PCI assignment in a collision-free manner and resolving all confusion events based on neighbouring cells' PCIs. The proposed algorithm is compared with the classical random algorithm by taking into account various femtocell densities, PCI ranges and sizes of neighbourhood area. Based on obtained results, the proposed algorithm leads to fewer confusion events and lower signalling network overhead even in dense femtocell environments such as office buildings or homes in city centres.

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“…In [3], the authors tackled the problem by introducing a visual cell identity (ID). In [4], the authors used the cell information, including cell state type and neighbouring list to assign PCIs. However, these methods can only solve the PCI conflict between femtocells, and the handover from macrocell to femtocell remains a challenging issue.…”

Section: Introductionmentioning

confidence: 99%

Dynamic PCI assignment in two‐tier networks based on cell activity prediction

et al. 2013

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Physical cell identity (PCI) is used to identify each cell. However, with the introduction of femtocells, 8 bytes allocation for PCI cannot accommodate a large number of femtocells. The current solution in 3GPP Release 9 is to use cell global identity associated with PCI to resolve this problem. However, this solution may incur higher inbound handover failure. A dynamic PCI assignment based on cell activity level prediction is proposed. The system level simulation showed that the approach outperforms the existing approaches.

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An Automation PCI Allocation Method for eNodeB and Home eNodeB Cell

Cited by 18 publications

References 5 publications

PCI Planning Based on Binary Quadratic Programming in LTE/LTE-A Networks

PCI Planning Based on Binary Quadratic Programming in LTE/LTE-A Networks

Cell Identifier Assignment in Two-Tier Femtocell Networks

Dynamic PCI assignment in two‐tier networks based on cell activity prediction

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