Agarwal, Bharat ORCID: 0000-0002-4040-8145, Togou, Mohammed Amine ORCID: 0000-0002-8374-910X, Ruffini, Marco ORCID: 0000-0001-6220-0065 and Muntean, Gabriel-Miro ORCID: 0000-0002-9332-4770 (2022) A comprehensive survey on radio resource management in 5G HetNets: current solutions, future trends and open issues. IEEE Communications Surveys and Tutorials, 24 (4). pp. 2495-2534. ISSN 1553-877X
Abstract
The 5G network technologies are intended to accommodate innovative services with a large influx of data traffic with lower energy consumption and increased quality of service and user quality of experience levels. In order to meet 5G expectations, heterogeneous networks (HetNets) have been introduced. They involve deployment of additional low power nodes within the coverage area of conventional high power nodes and their placement closer to user underlay HetNets. Due to the increased density of small-cell networks and radio access technologies, radio resource management (RRM) for potential 5G HetNets has emerged as a critical avenue. It plays a pivotal role in enhancing spectrum utilization, load balancing, and network energy efficiency. In this paper, we summarize the key challenges i.e., cross-tier interference, co-tier interference, and
user association-resource-power allocation (UA-RA-PA) emerging in 5G HetNets and highlight their significance. In addition, we present a comprehensive survey of RRM schemes based on interference management (IM), UA-RA-PA and combined approaches (UA-RA-PA + IM). We introduce a taxonomy for individual (IM, UA-RA-PA) and combined approaches as a framework for systematically studying the existing schemes. These schemes are also qualitatively analyzed and compared to each other. Finally, challenges and opportunities for RRM in 5G are outlined, and design guidelines along with possible solutions
for advanced mechanisms are presented.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | HetNets; radio resource management; user association; 5G; femtocells; QoS; QoE |
Subjects: | Engineering > Electronic engineering |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering |
Publisher: | IEEE |
Official URL: | https://dx.doi.org/10.1109/COMST.2022.3207967 |
Copyright Information: | © 2022 The Authors. |
Funders: | Science Foundation Ireland (SFI) 18/CRT/6224 (SFI Centre for Research Training in Digitally Enhanced Reality D-REAL), Science Foundation Ireland (SFI) 16/SP/3804 (Enable), Science Foundation Ireland (SFI) 12/RC/2289_P2 (Insight) |
ID Code: | 27740 |
Deposited On: | 27 Sep 2022 08:19 by Bharat Agarwal . Last Modified 14 Mar 2023 14:58 |
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