Capacity Optimised User Association in Planned Small Cell Deployment for Heterogeneous Wireless Networks

Thiagarajah, Siva Priya; Alias, Mohamad Yusoff; Tan, Wooi-Haw; Mahmud, Azwan

doi:10.1109/istt50966.2020.9279387

Cited by 2 publications

(5 citation statements)

References 14 publications

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“…The authors of [79] suggested a small-cell deployment methodology for network capacity increase and high load balancing. The framework handles the UA and bandwidth allocation using a greedy based approach.…”

Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

“…Hence, it might not be suitable for dynamic environments and large-sized HetNets. The authors of [80] solved the same problem as in [79] using particle swarm optimization (PSO) to balance and control the load per BS in 5G HetNets. The proposed approach was compared against the conventional static biasing approach and simulation results showed that PSO outperformed the static biasing method as it can balance and control the load while maintaining the cell SE.…”

Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

“…The proposed approach was compared against the conventional static biasing approach and simulation results showed that PSO outperformed the static biasing method as it can balance and control the load while maintaining the cell SE. Yet, besides the low computational complexity compared to greedy-based approaches, PSO has the same limitations as of [79].…”

Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

See 2 more Smart Citations

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

Agarwal

Togou

Ruffini

et al. 2022

IEEE Commun. Surv. Tutorials

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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.

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Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

Section: A Ua-ra-pa Schemes Based On Combinatorial Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

Agarwal

Togou

Ruffini

et al. 2022

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…The energy efficiency (EE) of the system is a critical evaluation criterion and it refers to the ratio between the sum of the achievable data rate and the total consumed power [61]. Equation (11) gives the formula for the energy efficiency, which is denoted by η EE .…”

Section: Volume 15 2021mentioning

confidence: 99%

“…HetNets are networks that have a mix of conventional high-power macro and low-power small base stations (BSs) [10]. Small BSs are deployed in HetNets to improve capacity and to distribute traffic loads with a low installation cost [11], [12]. Figure 2 represents a map of London, showing the locations of the macro and small BSs operated by Vodafone.…”

Section: Introductionmentioning

confidence: 99%

An SDN/ML-Based Adaptive Cell Selection Approach for HetNets: A Real-World Case Study in London, UK

Alablani

Arafah

2021

IEEE Access

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Heterogeneous networks (HetNets) are one of the key enabling technologies for nextgeneration networks. They aim to provide high capacity, low installation cost, and distributed traffic loads. The cell selection issue is an open research problem in HetNets, due to the different characteristics of base stations and the existence of a large number of them. In this paper, a novel software-defined networking (SDN)/machine learning (ML)-based adaptive algorithm is proposed, called adaptive two-tier, based on the K-nearest neighbor (A2T-KNN) algorithm. It is designed for millimeter wave (mmWave)based HetNets and it has the ability to adapt to the various movement features of moving vehicles, as well as the different characteristics of the base stations. A real-world case is considered in the center of London. Simulation results demonstrate that A2T-KNN achieves high prediction performance in association with different vehicle features and configuration information. It outperforms other related schemes in terms of average number of handovers by up to 45.83%. Moreover, it was found to enhance the average achievable downlink data rate and network energy efficiency achieved by vehicles by up to 17.18% and 16.86%, respectively.

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Capacity Optimised User Association in Planned Small Cell Deployment for Heterogeneous Wireless Networks

Cited by 2 publications

References 14 publications

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

A Comprehensive Survey on Radio Resource Management in 5G HetNets: Current Solutions, Future Trends and Open Issues

An SDN/ML-Based Adaptive Cell Selection Approach for HetNets: A Real-World Case Study in London, UK

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