Combinatorial Resource Allocation in UAV-Assisted 5G/B5G Heterogeneous Networks

The advancements in technology have greatly influenced our daily lives and have brought about numerous changes in the way we live, work, and communicate. The rise of social media platforms has resulted in the transformation of the ways people interact and share information. Therefore existing terres...

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Bibliographic Details
Published in:IEEE access Vol. 11; pp. 65336 - 65346
Main Authors: Shahzadi, Rizwana, Ali, Mudassar, Naeem, Muhammad
Format: Journal Article
Language:English
Published: Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
5G mobile communication
Algorithms
Autonomous aerial vehicles
Base stations
Combinatorial analysis
Heterogeneous networks (HetNet)
maximal weighted area (MWA)
mesh adaptive direct search (MADS)
Mixed integer
Natural disasters
Nonlinear programming
outer approximation algorithm (OAA)
Quality of service
quality of service (QoS)
Quality of service architectures
recall frequency (RF)
Resource allocation
Resource management
State of the art
Throughput
unmanned aerial vehicle (UAV)
Unmanned aerial vehicles
Wireless communication
ISSN:2169-3536, 2169-3536
Online Access:Get full text
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Summary:The advancements in technology have greatly influenced our daily lives and have brought about numerous changes in the way we live, work, and communicate. The rise of social media platforms has resulted in the transformation of the ways people interact and share information. Therefore existing terrestrial infrastructure needs to be replaced by modern communication means. Unmanned aerial vehicles (UAVs) have proved their potential to play a significant role in heterogeneous networks (HetNets) by providing additional coverage and capacity in areas that are crowded or hit by any natural disaster due to several associated advantages. This work has presented an optimized resource allocation problem in UAV-assisted HetNet. An outer approximation(OAA) based novel algorithm has been proposed to solve the presented mixed integer nonlinear programming problem (MINLP). Complexity Comparison of the proposed algorithm with other state-of-the-art methods is presented. The Prime objective is to maximize the network data rate subject to the constraints of power and Quality of service (QoS). Extensive simulation work is performed to compare the UAV-assisted HetNet data rate and associated users with Macro-only scenarios. Results have proved the outperformance of the proposed algorithm. UAV-assisted HetNet data rate and associated users are also investigated for different Quality of service (QoS) requirements and results have proved that the proposed OAA algorithm has still maintained its outperformance as compared to conventional HetNets. The result Section also includes the simulation results of the comparison between the proposed OAA-based algorithm with other state-of-the-art methods.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3285827