Review of Adaptive Cell Selection Techniques in LTE-Advanced Heterogeneous Networks

Poor cell selection is the main challenge in Picocell (PeNB) deployment in Long Term Evolution- (LTE-) Advanced heterogeneous networks (HetNets) because it results in load imbalance and intercell interference. A selection technique based on cell range extension (CRE) has been proposed for LTE-Advanced HetNets to extend the coverage of PeNBs for load balancing. However, poor CRE bias setting in cell selection inhibits the attainment of desired cell splitting gains. By contrast, a cell selection technique based on adaptive bias is a more effective solution to traffic load balancing in terms of increasing data rate compared with static bias-based approaches. This paper reviews the use of adaptive cell selection in LTE-Advanced HetNets by highlighting the importance of cell load estimation. The general performances of different techniques for adaptive CRE-based cell selection are compared. Results reveal that the adaptive CRE bias of the resource block utilization ratio (RBUR) technique exhibits the highest cell-edge throughput. Moreover, more accurate cell load estimation is obtained in the extended RBUR adaptive CRE bias technique through constant bit rate (CBR) traffic, which further improved load balancing as against the estimation based on the number of user equipment (UE). Finally, this paper presents suggestions for future research directions.

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Cloud Computing based on the Load Balancing Algorithm

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.7.20528 ◽

2018 ◽

Vol 7 (4.7) ◽

pp. 131

Author(s):

NV Abhinav Chand ◽

A Hemanth Kumar ◽

Surya Teja Marella

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

User Satisfaction ◽

Easy Access ◽

Future Research ◽

Computing Technology ◽

Main Challenge ◽

Load Balancing Algorithm ◽

And Performance ◽

Time Resource

Emerging cloud computing technology is a big step in virtual computing. Cloud computing provides services to clients through the internet. Cloud computing enables easy access to resources distributed all over the world. Increase in the number of the population has further increased the challenge. The main challenge of cloud computing technology is to achieve efficient load balancing. Load balancing is a process of assigning load to available resources in such a way that it avoids overloading of resources. If load balancing is performed efficiently, it improves QoS metric including cost, throughput, response time, resource utilization and performance. Efficient load balancing techniques also provide better user satisfaction. Various load balancing algorithms are used in different scenarios for ensuring the same. In the current research, we will study different algorithms for load balancing and benefits and limitations caused to the system due to the algorithms. In this paper, we will compare static and dynamic load balancing algorithms for various measures of efficiency. These will be useful for future research in the concerned field.

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Game-Theoretic Approaches in Heterogeneous Networks

Game Theory ◽

10.4018/978-1-5225-2594-3.ch009 ◽

2017 ◽

pp. 204-218

Author(s):

Chih-Yu Wang ◽

Hung-Yu Wei ◽

Mehdi Bennis ◽

Athanasios V. Vasilakos

Keyword(s):

Game Theory ◽

Heterogeneous Networks ◽

Small Cells ◽

Efficient Manner ◽

Intercell Interference ◽

Lte Advanced ◽

Game Theoretic ◽

Promising Solution ◽

Cost Efficient ◽

Coverage Holes

Improving capacity and coverage is one of the main issues in next-generation wireless communication. Heterogeneous networks (HetNets), which is currently investigated in LTE-Advanced standard, is a promising solution to enhance capacity and eliminate coverage holes in a cost-efficient manner. A HetNet is composed of existing macrocells and various types of small cells. By deploying small cells into the existing network, operators enhance the users' quality of service which are suffering from severe signal degradation at cell edges or coverage holes. Nevertheless, there are numerous challenges in integrating small cells into the existing cellular network due to the characteristics: unplanned deployment, intercell interference, economic potential, etc. Recently, game theory has been shown to be a powerful tool for investigating the challenges in HetNets. Several game-theoretic approaches have been proposed to model the distributed deployment and self-organization feature of HetNets. In this chapter, the authors first give an overview of the challenges in HetNets. Subsequently, the authors illustrate how game theory can be applied to solve issues related to HetNets.

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