Joint User Association and Power Control for Area Spectral Efficiency Maximization in HetNets

Aboagye, Sylvester; Ibrahim, Amany; Ngatched, Telex M. N.; Dobre, Octavia A.

doi:10.1109/vtc2020-fall49728.2020.9348680

Cited by 6 publications

(3 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the scheme had a significant overhead, which resulted in a high level of implementation complexity. In [64], authors provided a simple and successful strategy for optimizing SE of two-tier HetNets. The combined optimization of UA and PA was formulated as a mixed-integer programming issue.…”

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

confidence: 99%

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

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.

show abstract

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

confidence: 99%

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

“…Then, a mixed-integer monotonic optimization and sequential programming is proposed to solve the PC problem. In [15], the joint optimization of user association and power control is formulated as a mixed integer programming problem for SE maximization, where Lagrange duality theory is applied to solve the formulated problem. However, the literature [4], [7], [9], [14], [15] investigate the PC only for SE maximization and do not include EE in the problem formulation.…”

Section: Related Workmentioning

confidence: 99%

“…In [15], the joint optimization of user association and power control is formulated as a mixed integer programming problem for SE maximization, where Lagrange duality theory is applied to solve the formulated problem. However, the literature [4], [7], [9], [14], [15] investigate the PC only for SE maximization and do not include EE in the problem formulation. In other words, although these PC techniques can guarantee the minimum QoS for all users, they are not energy efficient.…”

Section: Related Workmentioning

confidence: 99%

Non-Cooperative Game Based Power Allocation for Energy and Spectrum Efficient Downlink NOMA HetNets

Nasser¹,

Muta

Gacanin

et al. 2021

IEEE Access

View full text Add to dashboard Cite

In this paper, the tradeoff between spectrum efficiency (SE) and energy efficiency (EE) is investigated in terms of interference management and power allocation for heterogeneous networks (HetNets) with non-orthogonal multiple access (NOMA). The EE and SE tradeoff is modeled as a multiobjective problem (MOP) under the maximum power and quality of service (QoS) constraints, which is non-convex. The MOP is relaxed into a convex single objective problem (SOP) by adopting a weighted sum strategy with the hypograph transformation. The SOP is solved in two steps. In the first step, we propose a power allocation technique based on non-cooperative (NC) game for EE and SE in NOMA HetNets. In the proposed NC game, the macro base station (MBS) and the small BSs (SBSs) compete with an equal priority in order to optimize their transmit powers towards maximizing the weighted sum of SE and EE. In the second step, a closed-form formula is proposed to control the power allocated to users taking into account both QoS constraint and successive interference cancellation (SIC) condition. From simulations, the proposed technique can, in some dedicated settings, considerably improve the tradeoff between EE and SE over conventional techniques.INDEX TERMS Heterogeneous networks (HetNets), energy efficiency (EE), spectrum efficiency (SE), interference mitigation, power control (PC), non-cooperative (NC) game .

show abstract

Area Spectral Efficiency Based Device-to-Device Communication

Shabaa

Daghal

2022

2022 Fifth College of Science International Conference of Recent Trends in Information Technology (CSCTIT)

View full text Add to dashboard Cite

Joint User Association and Power Control for Area Spectral Efficiency Maximization in HetNets

Cited by 6 publications

References 15 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

Non-Cooperative Game Based Power Allocation for Energy and Spectrum Efficient Downlink NOMA HetNets

Area Spectral Efficiency Based Device-to-Device Communication

Contact Info

Product

Resources

About