Joint Optimization on Resource Allocation & Interference Coordination for Accessing Video Information in Femtocell Networks

  • P. Madhu, V. Sujatha

Abstract

The Scalable Video Streaming (SVS) in femtocell networks can interfere between the macro and femtocells that deteriorates the Signal-to-Interference Noise Ratio (SINR) and randomly distributes the unintended spectrum. To avoid this problem, a Joint dynamic video Layer choice, Channel and Power assignment (JLCP) method has been proposed that mitigates the Inter-Cell Interference (ICI) and improves the spectrum use. However, it supports only sparsely located femtocells and requires better ICI prevention schemes. Therefore in this article, a new method is proposed based on the combination of JLCP and Further enhanced ICI Coordination (FeICIC) for increasing the throughput in a two-tier HetNet with Full-Duplex (FD) Femtocell Base Station (FBS). Initially, every client is accurately linked to the Macro BS (MBS) and FD-FBS based on given Cell Range Expansion (CRE) biases. After that, clients in FD-FBS are paired to achieve the FD transmission based on the JLCP-FeICIC method that uses a Hungarian algorithm. Also, the resources are assigned to every client for maximizing the system efficiency whilst the QoS demands are ensured in accordance with the Nash Bargaining Solution (NBS)-based optimization problem. Further, a closed-form power management term is used for computing the optimum transmit power of every client operating in the FD mode. Finally, the experimental outcomes illustrate that the efficiency of the JLCP-FeICIC method compared with the existing JLCP.

Published
2020-06-06
How to Cite
P. Madhu, V. Sujatha. (2020). Joint Optimization on Resource Allocation & Interference Coordination for Accessing Video Information in Femtocell Networks. International Journal of Advanced Science and Technology, 29(04), 3918 -. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/24559