Resource allocation and user association for load balancing in NOMA-based cellular heterogeneous networks |
|
Author: | Sobhu-Givi, Sima1; Shayesteh, Mahrokh G.1,2; Kalbkhani, Hashem3; |
Organizations: |
1Department of Electrical and Computer Engineering, Urmia University, Urmia, Iran 2Wireless Research Lab, ACRI, Elec. Eng. Dep., Sharif University of Technology, Tehran, Iran 3Faculty of Electrical Engineering, Urmia University of Technology, Urmia, Iran
4Centre for Wireless Communications (CWC), University of Oulu, Finland
|
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.2 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2020111390282 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2020
|
Publish Date: | 2020-11-13 |
Description: |
AbstractSmall cells, specially femtocells, are deployed in the coverage of macrocells and form underlay heterogeneous networks (HetNets) to increase the capacity of cellular networks. Load balancing is necessary to increase the resource utilization in HetNets. Non-orthogonal multiple access (NOMA) technique has been proposed to increase the spectral efficiency in the fifth-generation (5G) of cellular networks. The aim of this paper is to present a user association and resource block (RB) allocation scheme in NOMA-based cellular HetNet for maximization of Jain’s fairness index and spectral efficiency. The maximization problem is decomposed into two sub-problems. At first, the number of RBs that each small cell base station (SBS) can allocate for connection requests, is obtained. Then, the NOMA groups and RB allocation are optimized to increase the spectral efficiency. The results indicate the efficiency of the proposed scheme in enhancing the fairness index and spectral efficiency in HetNets compared to the conventional scheme. see all
|
ISBN: | 978-1-7281-8257-5 |
ISBN Print: | 978-1-7281-8258-2 |
Pages: | 1 - 6 |
DOI: | 10.1109/IWCIT50667.2020.9163529 |
OADOI: | https://oadoi.org/10.1109/IWCIT50667.2020.9163529 |
Host publication: |
2020 Iran Workshop on Communication and Information Theory, IWCIT 2020 |
Conference: |
Iran Workshop on Communication and Information Theory |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |