Abstract
This paper presents and puts forward an optimal automatic distributing of physical cell identity (ADPCI) scheme for the self-organizing network (SON). Considering the high number and the layered structure of the evolved node B (eNodeB, eNB) in the initial rollout phase, the assigning of PCI for cells would be quite complex. The PCI self-distributing problem is mapped to the well-known minimum spanning tree (MST) problem in order to optimize the PCI reuse distance and decrease the multiplexing interference. The correlation property of PCI is analyzed and taken into consideration in the assigning phase. Moreover, a suboptimal algorithm (SADPCI) is presented as it performs approximately to ADPCI but the computational complexity is lower. To demonstrate the proposal validity, performances of ADPCI and SADPCI are evaluated. Simulation results illustrate that these schemes can achieve significantly higher performance even under the condition of severe PCI deficiency.
Highlights
There is a strong momentum for self-organizing features in wireless communication networks, self-configuration and self-optimization are identified as two mechanisms to facilitate operation and manage the long term evolution (LTE) network [1, 2]
In order to illustrate the influence of transmission propagation models, two different signal transmission models are used to reflect the environmental changes that impacted the result of PCI distribution
The propagation loss calculation is based on the COST231 Hata urban propagation model [12]: PL,urban(d)dB = 46.3 + 33.9log10 fc − 13.82log10(ht) − a(hr) (6) + 44.9 − 6.55log10(ht) log10(d) + CM, where a(hr) is a correction factor for the receiver height based on the size of the coverage area; CM is 0 dB for medium-sized cities and suburbs and is 3 dB for metropolitan areas; the carrier frequency fc is 2 GHz; the height of transmitter ht and receiver hr are set to 50 m
Summary
There is a strong momentum for self-organizing features in wireless communication networks, self-configuration and self-optimization are identified as two mechanisms to facilitate operation and manage the long term evolution (LTE) network [1, 2]. In order to perform a confusion free selection of PCI, the PCI assigning information of neighbors’ neighbors have to be measured, but the measurement result depends on the signal quality which cannot be guaranteed. Another method has performed a distributed solution that relies on the use of a temporary PCI. The scheme has analyzed the properties of the colored graph that is used for extending the network with new cells, and the results show that only minimal interruptions have occurred while still retaining the properties of a colored graph Another centralized approach (HCPCI) [10] has introduced a hyper graph coloring PCI assigning scheme.
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