Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks

Author

Ajay Pratap
Rajiv Misra
Sajal K. Das, Missouri University of Science and TechnologyFollow

Abstract

In this article, we first formulate the joint resource allocation, interference minimization, user-level, and cell-level fairness for maximum resource reuse in 5G heterogeneous small cell networks as an NP-hard problem. We then propose three algorithms-centralized, distributed, and randomized distributed algorithms-to efficiently solve the formulated resource allocation problem while minimizing interference, maximizing fairness, and resource reuse. Through extensive real data analysis and network simulations, we show that our proposed solutions outperform state-of-the-art schemes, namely interfering model (INT) and distributed random access (DRA), for both low and high-density 5G networks.

Recommended Citation

A. Pratap et al., "Maximizing Fairness for Resource Allocation in Heterogeneous 5G Networks," IEEE Transactions on Mobile Computing, vol. 20, no. 2, pp. 603 - 619, Institute of Electrical and Electronics Engineers (IEEE), Feb 2021.

The definitive version is available at https://doi.org/10.1109/TMC.2019.2948877

Department(s)

Computer Science

Research Center/Lab(s)

Center for High Performance Computing Research

Second Research Center/Lab

Intelligent Systems Center

Keywords and Phrases

5G cellular networks; heterogeneous small cell networks; randomized and distributed algorithms

International Standard Serial Number (ISSN)

1536-1233; 1558-0660

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Feb 2021