Resource Optimization in Heterogeneous Networks Using Discrete Firefly Algorithm

Xaphakdy, Khampaserth; Mustika, I Wayan; Setiawan, Fajar Budi; Nugroho, Prapto

doi:10.1109/icosta48221.2020.1570614132

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…Also, it delivers high celledge user quality and capacity and fairness among all the users in the macro cell. Whereas in [105], the examiner raises an issue of interference in shared spectrum resources. They developed a modified firefly algorithm (FA), i.e.…”

Section: ) Research Work Of Hetnet In Literaturementioning

confidence: 99%

“…A more improved scheme would provide a better SINR value than the proposed scheme [105] Studied the physical layer security in a twotier relay assisted HetNet system An artificial noise (AN) technique was exploited to deceive the eavesdroppers and constructed an interference nulling strategy to eliminate CCI; also, second-order cone programming (SOCP) problem…”

Section: ) Research Work Of Hetnet In Literaturementioning

confidence: 99%

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Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

et al. 2021

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In the modern technological world, wireless communication has taken a massive leap from the conventional communication system to a new radio communication network. The novel concept of Fifth Generation (5G) cellular networks brings a combination of a diversified set of devices and machines with great improvement in a unique way compared to previous technologies. To broaden the user's experience, 5G technology provides the opportunity to meet the people's potential necessities for efficient communication. Specifically, researchers have designed a network of small cells with unfamiliar technologies that have never been introduced before. The new network design is an amalgamation of various schemes such as Heterogeneous Network (HetNet), Device-to-Device (D2D) communication, Internet of Things (IoT), Relay Node (RN), Beamforming, Massive Multiple Input Multiple Output (M-MIMO), millimeter-wave (mm-wave), and so on. Also, enhancement in predecessor's techniques is required so that new radio is compatible with a traditional network. However, the disparate technological models' design and concurrent practice have created an unacceptable intervention in each other's signals. These vulnerable interferences have significantly degraded the overall network performance. This review article scrutinizes the issues of interferences observed and studied in different structures and techniques of the 5G and beyond network. The study focuses on the various interference effect in HetNet, RN, D2D, and IoT. Furthermore, as an in-depth literature review, we discuss various types of interferences related to each method by studying the state-of-the-art relevant research in the literature. To provide new insight into interference issue management for the next-generation network, we address and explore various relevant topics in each section that help make the system more robust. Overall, this review article's goal is to guide all the stakeholders, including students, operators, engineers, and researchers, aiming to explore this promising research theme, comprehend interferences and their types, and related techniques to mitigate them. We also state methodologies proposed by the 3 rd Generation Partnership Project (3GPP) and present the promising and feasible research directions toward this challenging topic for the realization of 5G and beyond network.

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Section: ) Research Work Of Hetnet In Literaturementioning

confidence: 99%

Section: ) Research Work Of Hetnet In Literaturementioning

confidence: 99%

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

et al. 2021

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“…FA has been widely used in various fields. The discrete firefly algorithm (DFA) is proposed by Xaphakdy et al [6] to optimize the resource allocation in femtocell network. The efficiency of network system is reduced by reducing cross layer and common layer interference when users use the same resource block (RBS).…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Firefly Algorithm Based on the Vector Angle Learning Mechanism

Meng

Wang

2020

IEEE Access

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The firefly algorithm (FA) is one of the swarm intelligence algorithms which can solve global optimization problems accurately. In the traditional FA, the position of each firefly can only be updated by the brightness of other fireflies around it. As a result, it is simple to update the firefly position but easy to fall into local optimum. In this paper, a novel hybrid firefly algorithm based on the vector angle learning mechanism (HFA-VAL) is proposed, which can combine the advantages of both the firefly algorithm (FA) and differential evolution (DE) by the vector angle learning mechanism. HFA-VAL employs vector angle parameters to adaptively adjust the moving step length of firefly in order to avoid falling into local optimum. In the evolutionary process, the difference method is used to update the dominant leader, so as to improve the moving direction of other fireflies and expand the search ability. In order to understand the strengths and weaknesses of HFA-VAL, several experiments are carried out on 25 benchmark functions in CEC2005. Experimental results show that the performance of HFA-VAL algorithm is better than other the-state-of-art algorithms.INDEX TERMS Vector angle learning mechanism, hybrid firefly algorithm, differential evolution, logarithmic spiral parameter.

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A survey on firefly algorithms

Wei

et al. 2022

Neurocomputing

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Resource Optimization in Heterogeneous Networks Using Discrete Firefly Algorithm

Cited by 4 publications

References 8 publications

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

Interference Management in 5G and Beyond Network: Requirements, Challenges and Future Directions

A Novel Hybrid Firefly Algorithm Based on the Vector Angle Learning Mechanism

A survey on firefly algorithms

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