User Association in Energy-Aware Dense Heterogeneous Cellular Networks

Mugume, Edwin; So, Daniel K. C.

doi:10.1109/twc.2017.2653107

Cited by 16 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, the densities for the optimum combination of macro and micro BSs are calculated numerically. Many other energy efficient techniques were proposed by the authors in References 23‐29 for the wireless communication networks.…”

Section: Related Workmentioning

confidence: 99%

“…Because of the above-mentioned parameters of the optimization algorithm, every constraint is simply improved with the other constraint being constant, which in fact cannot influence the worldwide optimization of these constraints because all the constraints are influenced by one another. Hence on joining the CBO and SDO algorithm, a heuristic small CRD bias and SBS density hybrid optimization algorithm is proposed to deal with the objective Equation (28)…”

Section: Hybrid Optimization Of Small Crd Bias and Sbs Densitymentioning

confidence: 99%

See 1 more Smart Citation

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Sidiq

Sheikh

Mustafa

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Ultra-dense networks (UDNs) which comprise of small and macro cells, are considered the principal solution for increasing demands of data. However, making energy efficient networks will be a challenge for researchers. In this article, a hybrid optimization technique is proposed to enhance the energy efficiency (EE) of the UDNs, considering the user correlation and hybrid optimization of the density and transmitting power of the small-cell-base-station (SBS). More precisely, the problem framed is a problem of convex-linear programming and hence is divided into two sub-problems: cell correlation and hybrid optimization. The expression for the EE of the system is derived in the closed-form as a factor of the density of SBSs and small cell-range-development (CRD) bias dependent on the Poisson point process (PPP) followed by the sequential-search-algorithm to improve the small CRD bias and SBS density correspondingly. Additionally, to realize hybrid optimization of the small CRD bias and density of SBSs, a heuristic algorithm is put forward to accomplish the EE of the system. It is revealed from the simulation outcomes that the proposed small CRD bias and SBS density hybrid optimization significantly enhances the EE of the system with low computational intricacy.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Hybrid Optimization Of Small Crd Bias and Sbs Densitymentioning

confidence: 99%

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Sidiq

Sheikh

Mustafa

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In [17], the impact of beamforming alignment errors on the coverage probability in a millimeter-wave HCN was investigated under different path loss models, but the BS vertical antenna pattern is not considered, and the antenna gain is assumed to be constant. The authors in [18] analyzed the coverage probability and average user rate with the minimum biased transmission distance scheme in an HCN. In 3D HCNs, as the heights of MBSs are larger than SBSs, the traffic in the small-cell tier is overloaded when adopting the minimum 3D transmission distance-based user association scheme.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Impact of 3D Antenna Radiation Pattern on Heterogeneous Cellular Networks

2022

View full text Add to dashboard Cite

Heterogeneous cellular networks (HCNs) play a significant role in 5G networks, but have mainly been modeled and analyzed on a two-dimensional (2D) plane. In this paper, we model a three-dimensional (3D) two-tier HCN consisting of macro-cells and small-cells via a stochastic geometry approach, where the base stations (BSs) in each tier are assigned an appropriate antenna downtilt to enhance the downlink signal and suppress the inter-cell interference. Based on the 3D HCN model, we derive the downlink spatially-averaged coverage probability and area spectral efficiency (ASE) as functions of the BS antenna downtilts, BS heights, BS densities and cell-association bias. To facilitate fast numerical evaluation, we propose accurate approximations for the integral parts in the coverage probability expression. We then obtain the optimal BS antenna downtilts for both tiers that maximize the downlink spatially-averaged coverage probability by using partial derivative and the bisection method. Analytical and simulation results show that for given BS heights, densities of small-cell BSs (SBSs) and cell-association biases of SBSs, our optimized BS antenna downtilts of both tiers can significantly enhance the downlink spatially-averaged coverage probability and ASE in comparison with the fixed BS antenna downtilts network. Useful insights into the 3D deployment of HCNs considering BS antenna downtilts are obtained based on the analytical and simulation results.INDEX TERMS 3D antenna downtilt, base station height, coverage probability, cell-assciation bias, heterogeneous cellular networks

show abstract

“…The work is focused on the load strategy of the adjacent cells and, through simulations, proved significant results compared to the traditional heuristic searching algorithm (HSA). In [76] stochastic geometry-based analysis is used to improve the UDN via a user association scheme. In [77], a complex problem is formulated by adding NOMA into a UDN.…”

Section: ) Resource Allocationmentioning

confidence: 99%

Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions

Mughees¹,

Tahir

Sheikh

et al. 2021

IEEE Access

View full text Add to dashboard Cite

The global surge of connected devices and multimedia services necessitates increased capacity and coverage of communication networks. One approach to address the unprecedented rise in capacity and coverage requirement is deploying several small cells to create ultra-dense networks. This, however, exacerbates problems with energy consumption and network management due to the density and unplanned nature of the deployment. This review discusses various approaches to solving energy efficiency problems in ultra-dense networks, ranging from deployment to optimisation. Based on the review, we propose a taxonomy, summarise key findings, and discuss operational and implementation details of past research contributions. In particular, we focus on popular approaches such as machine learning, game theory, stochastic and heuristic techniques in the ultra-dense network from an energy perspective due to their promise in addressing the issue in future networks. Furthermore, we identify several challenges for improving energy efficiency in an ultra-dense network. Finally, future research directions are outlined for improving energy efficiency in ultra-dense networks in 5G and beyond 5G networks.

show abstract

User Association in Energy-Aware Dense Heterogeneous Cellular Networks

Cited by 16 publications

References 27 publications

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

A new method of hybrid optimization of small cell range development and density for energy efficient ultra‐dense networks

Impact of 3D Antenna Radiation Pattern on Heterogeneous Cellular Networks

Energy-Efficient Ultra-Dense 5G Networks: Recent Advances, Taxonomy and Future Research Directions

Contact Info

Product

Resources

About