A Distributed User-Cell Association for Spectral and Energy Efficiency Tradeoff in Massive MIMO UDHNs

Cetinkaya, Sinasi; Arslan, Hüseyin

doi:10.1109/pimrc.2019.8904349

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…Some works pay more attention to the energy-efficient cell association. In [19], the authors investigated the user-cell association problem for energy efficiency and spectral efficiency trade-off, and a Lagrange duality and game-based user-cell association algorithm was developed. e probability expressions for cell association in terms of different cell association bias values, BS density ratios, and probabilities of line of sight link are given, and the relationship between coordinated cluster and average energy efficiency is obtained in reference [20].…”

Section: Related Workmentioning

confidence: 99%

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

Jiang

Zhu

Song

et al. 2021

Mathematical Problems in Engineering

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This paper studies the energy efficiency optimization problem for coordinated multipoint (CoMP)-enabled and backhaul-constrained ultra-dense small-cell networks (UDNs). Energy efficiency is an eternal topic for future wireless communication networks; however, taking actual bottleneck of the backhaul link and the coordinated network architecture into consideration, it is difficult to find an effective way to improve the energy efficiency of the network. Aiming at this problem, we propose to combine cell association, subchannel allocation, backhaul resource allocation, and sleep/on of the cells together to develop an optimization algorithm for energy efficiency in UDN and then solve the formulated energy efficiency optimization problem by means of improved modified particle swarm optimization (IMPSO) and linear programming in mathematics. Simulation results indicate that nearly 13 % energy cost saving and 21 % energy efficiency improvement can be obtained by combining IMPSO with linear programming, and the backhaul link data rate can be improved by 30 % as the number of small cells increases. From the results, it can be found that by combining IMPSO with linear programming, the proposed algorithm can improve the network energy efficiency effectively at the expense of limited complexity.

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Section: Related Workmentioning

confidence: 99%

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

Jiang

Zhu

Song

et al. 2021

Mathematical Problems in Engineering

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“…are tried to be optimized in massive MIMO systems [14][15][16][17]. Studies to improve the SE-EE trade-off through intelligent optimizations are known [18][19][20]. There are studies in which the most appropriate values of SE-EE trade-off are determined by accepting some parameters as independent variables for intelligent optimization techniques [21][22].…”

Section: Introductionmentioning

confidence: 99%

Application of Intelligent Optimization Techniques to Spectral and Energy Efficiencies in Massive MIMO Systems at Different Circuit Power Levels

Gül¹,

Taşpınar²

2021

Mühendislik Bilimleri Ve Araştırmaları Dergisi

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In cellular communications, whose usage continues to increase day by day, it is seen as a necessity to increase the area throughput in order to avoid data traffic density problems. For this, it is aimed to increase spectral efficiency by using massive multi-input multi-output systems and also to keep energy efficiency high. It is known that spectral and energy efficiencies can increase with different number of user equipment served in the cell, number of active antennas and values of the transmission power. By using intelligent optimization techniques, optimum combinations of these three variables can be determined and samples with both high spectral and energy efficiencies at the same time can be obtained. In this paper, multi-objective genetic algorithm, multi-objective particle swarm optimization and multi-objective differential evolution algorithm are applied on three different circuit power sets and then results obtained are evaluated.

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A Distributed User-Cell Association for Spectral and Energy Efficiency Tradeoff in Massive MIMO UDHNs

Cited by 2 publications

References 22 publications

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

IMPSO and Linear Programming-Based Energy-Efficient Cell Association Algorithm for Backhaul-Constrained Ultra-Dense Small-Cell Networks

Application of Intelligent Optimization Techniques to Spectral and Energy Efficiencies in Massive MIMO Systems at Different Circuit Power Levels

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