A CoMP-Based Outage Compensation Solution for Heterogeneous Femtocell Networks
Abstract
In wireless cellular networks, self-healing is one of the three functionalities for self-organizing networks, and it has four major components: fault detection, fault diagnosis, fault response and fault recovery. In this paper, we propose a cell outage compensation mechanism (fault response scheme) using a network cooperation scheme in a heterogeneous network environment with densely deployed Femto Base Stations (FBSs). The network cooperation scheme for FBSs uses the Coordinated Multi-Point (CoMP) transmission and reception with joint processing technique where the main purpose of cooperation among FBSs is to guarantee service to UEs even in cases where their primary FBSs or their backhauls fail. The objective of our proposed mechanism is to maximize the total users' throughput taking into consideration the spectrum and power constraints. Therefore, different clustering methods are studied and analyzed to improve the performance of the network cooperation scheme. Simulation results show that our proposed network cooperation scheme using CoMP can improve the Femto User Equipment (FUE) throughput by more than 30% compared to a non-cooperation solution for self-healing, and CoMP schemes with spectral clustering and k-means clustering algorithms can improve FUE throughput by up to 50%. Moreover, the proposed CoMP operation schemes prevent service rate from dramatic drop when FBSs fail.
Recommended Citation
Y. Jie et al., "A CoMP-Based Outage Compensation Solution for Heterogeneous Femtocell Networks," Computer Networks, vol. 168, article no. 107061, Elsevier B.V., Feb 2020.
The definitive version is available at https://doi.org/10.1016/j.comnet.2019.107061
Department(s)
Electrical and Computer Engineering
Research Center/Lab(s)
Intelligent Systems Center
Keywords and Phrases
Clustering; Coordinated Multi-Point (CoMP); Femto Base Station; Heterogeneous Network; Network Cooperation; Self-Healing Mechanism; Wireless Networks
International Standard Serial Number (ISSN)
1389-1286
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2020 Elsevier B.V., All rights reserved.
Publication Date
01 Feb 2020
Comments
This work was supported by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdulaziz City for Science and Technology, Saudi Arabia, under Grant 11-INF1920-02.