Efficient Load Balancing Algorithm in Long Term Evolution (LTE) Heterogeneous Network Based on Dynamic Cell Range Expansion Bias

Authors

Emmanuel Bakuza, Department of Electronics and Telecommunications Engineering, College of Information and Communication Technologies, University of Dar es Salaam, TanzaniaFollow
Hashimu U. Iddi, Department of Electronics and Telecommunications Engineering, College of Information and Communication Technologies, University of Dar es Salaam, TanzaniaFollow
Abdi T. Abdalla, Department of Electronics and Telecommunications Engineering, College of Information and Communication Technologies, University of Dar es Salaam, TanzaniaFollow

Section

Mathematics and Computational Sciences

Abstract

The traditional scheme for load balancing in a homogeneous Long Term Evolution (LTE) Network where User Equipment (UEs) associate to a node with the strongest received signal strength is not practical for LTE Heterogeneous Network (LTE HetNet) due to power disparity between the nodes. Therefore, dynamic Cell Range Expansion (CRE) based load-balancing schemes were employed by several scholars to address the challenges in the LTE HetNet. However, the fairness index in achieving the desired average user throughput and UE offloading effect is relatively low. In this work, an efficient load-balancing algorithm for LTE HetNet based on dynamic Cell Range Expansion (CRE) was developed to improve the fairness of the network for the desired throughput and UE offloading effect. The simulation results achieve a throughput gain improvement of up to 11%, while the fairness index improves by 6% compared to the existing algorithm. Further, the UEs offloading effect shows a significant improvement of 3% relative to the existing algorithm. Keywords: Fairness Index; Load Balancing; LTE Heterogeneous Network; Throughput; Cell Range Expansion

Recommended Citation

Bakuza, Emmanuel; Iddi, Hashimu U.; and Abdalla, Abdi T. (2021) "Efficient Load Balancing Algorithm in Long Term Evolution (LTE) Heterogeneous Network Based on Dynamic Cell Range Expansion Bias," Tanzania Journal of Science: Vol. 47: Iss. 3, Article 6.
Available at:https://doi.org/10.4314/tjs.v47i3.6