Paper
28 July 2023 Resource allocation trends for ultra dense networks in 5G: a comprehensive survey
Jiangliang Liu, Donghui Xu, Siyi Liu
Author Affiliations +
Proceedings Volume 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023); 1271621 (2023) https://doi.org/10.1117/12.2685516
Event: Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 2023, Xi'an, China
Abstract
With the widespread application of the fifth-generation mobile communication system, mobile data traffic has seen rapid growth, bringing new challenges to traditional cellular networks. Ultra-dense networks (UDN) are one of the key technologies used in 5G communication to address user capacity and high-speed transmission. How to effectively solve the problems of inter-site interference, spectrum resource scarcity, and high energy consumption in UDN has become a major research topic, and resource allocation technology is essential in this regard. This article summarizes the spectrum resource allocation methods and applications in UDN through literature review. Firstly, the applicable scenarios, models, and various indicators of resource allocation in UDN are summarized and analyzed. Secondly, this paper systematically sorts and classifies recent research on resource allocation methods for UDNs, analyzing their applicability, advantages, and disadvantages. Additionally, the paper discusses the future development of spectrum resource allocation methods for UDNs.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiangliang Liu, Donghui Xu, and Siyi Liu "Resource allocation trends for ultra dense networks in 5G: a comprehensive survey", Proc. SPIE 12716, Third International Conference on Digital Signal and Computer Communications (DSCC 2023), 1271621 (28 July 2023); https://doi.org/10.1117/12.2685516
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KEYWORDS
Energy efficiency

Machine learning

Mathematical optimization

Algorithms

Evolutionary algorithms

Network architectures

Algorithm development

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