A novel scheme to resolve PCI conflicts and assignment problems in LTE-femtocell networks

Abdullah, Labeeb Mohsin; Baba, Mohd Dani; Ali, Sinan Ghassan Abid

doi:10.1109/icsengt.2013.6650153

Cited by 8 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1 shows the summary of major existing works on SON and bioinspired approaches in wireless networks. Geolocation based allocation [8,9], game-theory based minimum collision assignment [7], and graph coloring optimization [3,4] [13,15]. Bioinspired solutions have been used in wireless networks for scheduling and resource allocation [16,17], optimal cell planning [18], BS deployment [18], and load balancing [19].…”

Section: Wsnmentioning

confidence: 99%

BiSON: A Bioinspired Self-Organizing Network for Dynamic Auto-Configuration in 5G Wireless

Roy¹,

Saxena

Sahu

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

Emerging 5G wireless networks are expected to herald significant transformation in industrial applications, with improved coverage, high data rates, and massive device capacity. However, the introduction of 5G wireless makes the network configuration, management, and planning extremely challenging. For efficient network configuration, every cell needs to be allocated a particular Physical Cell Identifier (PCID), which is unique in its vicinity. Wireless standards (e.g., 3GPP) typically specify a limited number of PCIDs. However, the number of cells in 5G Ultradense Networks (UDN) is expected to significantly outnumber these limited PCIDs. Hence, these PCIDs need to be efficiently allocated among the myriad of cells, such that two cells which are neighbors or neighbor’s neighbor are assigned with different PCIDs. This complicated network configuration problem becomes even more complex by dynamic introduction and removal of 5G small cells (e.g., micro, femto, and pico). In this paper, we introduce BiSON, a new Bioinspired Self-Organizing Solution for automated and efficient PCID configuration in 5G UDN. Using two different extensions, namely, “always near-optimal” and “heuristic,” we explain near-optimal and dynamic auto-configuration in computationally feasible time, with negligible overhead. Our extensive network simulation experiments, based on actual 5G wireless trials, demonstrate that the proposed algorithm achieves better optimality (minimum PCIDs in use) than earlier works in a reasonable computational complexity.

show abstract

Section: Wsnmentioning

confidence: 99%

BiSON: A Bioinspired Self-Organizing Network for Dynamic Auto-Configuration in 5G Wireless

Roy¹,

Saxena

Sahu

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…However there is still a room for improvements. Here we review some of these works that discussed the PCI assignment and conflict [11,12].Starting with Jae Seung Song et al Where the authors focused in their proposed work [6] on one of management problems, which is the self-configuration of PCIs for femtocell where they proposed a model-checking to help formal correctness verification to verify the correctness of the Self-configuration assignments process. This approach has the ability of searching for error in the configuration starting from partial configuration state snapshot.…”

Section: Previous Workmentioning

confidence: 99%

New graph colouring algorithm for resource allocation in large-scale wireless networks

Abdullah

Baba

Ali

et al. 2014

2014 IEEE 5th Control and System Graduate Research Colloquium

Self Cite

View full text Add to dashboard Cite

The vertex-colouring problem is a well-known classical problem in graph theory in which a colour is assigned to each vertex of the graph such that no two adjacent vertices have the same colour. The minimum vertex-colouring problem is known as NP-hard problem in an arbitrary graph. In this paper a graph colouring algorithm based on modified incidence matrix is proposed for resolving Physical Cell ID (PCI) allocation for largescale femtocell deployment in LTE Telecommunication Networks. The proposed algorithm is not specified for neighbours only, but additionally can deal with neighbours of neighbours' objects due to telecommunication requirements. Our results show that by applying proper searching and assigning methods it is possible to achieve satisfactory results for resource allocation in large and complex networks such as resolving PCI allocation and conflict for large femtocells deployment in LTE Networks.

show abstract

“…Wu et al [13] proposed a heuristic optimization model for PCI allocation in real-life LTE networks, demonstrating its effectiveness in reducing interference. The application of self-organizing networks (SONs) and novel algorithms to address PCI conflicts in LTE-femtocell networks has also been a focus of research [10,[15][16]. Abdullah et al [15] introduced a novel scheme to resolve PCI conflicts in LTE-femtocell networks, conserving network resources.…”

Section: Introductionmentioning

confidence: 99%

Cluster-Based Hybrid Approach for PCI Configuration and Optimization in 5G EN-DC Heterogeneous Networks

Li,

Yang,

Kim

et al. 2024

J Netw Syst Manage

View full text Add to dashboard Cite

With the development of 5G technologies and the implementation of EN-DC architecture in heterogeneous networks, managing Physical Cell Identity (PCI) has become increasingly complex. EN-DC, facilitating the coexistence of eNBs and gNBs, creates a densely populated environment that heightens the risk of PCI collisions and confusions. This study introduces a novel hybrid approach to PCI configuration in EN-DC networks, integrating centralized and distributed strategies. By organizing the network into clusters and employing newly introduced algorithms, Symmetrical Comparison (SC) and Symmetrical Triangular Cycling (STC), the method efficiently identifies and resolves PCI confusions. Simulations were conducted to evaluate the effectiveness of the proposed model under various scenarios, revealing its proficiency in preventing PCI confusion and 𝑚𝑜𝑑 30 collisions. The results underscore the critical role of PCI pool size and offer insights into network planning and optimization. Despite some challenges in handling specific collisions, such as 𝑚𝑜𝑑 3 and 𝑚𝑜𝑑 4, the study suggests that incorporating reinforcement learning techniques could provide more adaptive solutions, laying the foundation for future research in this area. The research contributes to the evolving landscape of 5G EN-DC networks, emphasizing the importance of intelligent design and meticulous planning in network management.

show abstract

A novel scheme to resolve PCI conflicts and assignment problems in LTE-femtocell networks

Cited by 8 publications

References 3 publications

BiSON: A Bioinspired Self-Organizing Network for Dynamic Auto-Configuration in 5G Wireless

BiSON: A Bioinspired Self-Organizing Network for Dynamic Auto-Configuration in 5G Wireless

New graph colouring algorithm for resource allocation in large-scale wireless networks

Cluster-Based Hybrid Approach for PCI Configuration and Optimization in 5G EN-DC Heterogeneous Networks

Contact Info

Product

Resources

About