Joint optimization on inter-cell interference management and user attachment in LTE-A HetNets

Liu, Ye; Chen, Chung Shue; Sung, Chi Wan

doi:10.1109/wiopt.2015.7151054

Cited by 8 publications

(17 citation statements)

References 11 publications

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“…Currently, several papers have been published with proposals for game theory based interference mitigation for LTE/LTE-A networks. Potential game based solutions for distributed eICIC optimization are considered in [7], [19]- [21].…”

Section: Related Workmentioning

confidence: 99%

“…We define that there is only one macrocell located at the center of each hexagon, and each hexagon has the same number of picocells. In addition, we adopt the system model adapted in [7]. Table I summarizes the notation used in this paper.…”

Section: System Modelmentioning

confidence: 99%

“…In this section, the authors herein aim at developing a distributed solution to the problem described in Section IV by formulating an exact potential game based on the algorithm described in paper [7]. In addition, we present the downlink schedulers Φ used in this paper.…”

Section: Distributed Solution For Eicic Optimizationmentioning

confidence: 99%

“…In light of the aforementioned, in this paper, the authors provide a distributed algorithm that jointly optimizes the ABS patterns and CSB values in HetNets. We formulate the problem as an exact potential game, through the adaptation of the game theoretic frameworks found in [7] as well as propose some improvements to these algorithms in order to achieve better performance, called eICIC+. Through simulation studies, we show that the proposed optimization can deliver improvements of around 51% over average user throughput.…”

Section: Introductionmentioning

confidence: 99%

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eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Moreira

Silva

Guardiero

2020

JCIS

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Resource allocation mechanisms and management of inter-cell interference coordination (ICIC) are fundamental characteristics of the LTE-A network for achieving maximum capacity. Cell densification serves as a promising candidate solution for meeting the demand posed by mobile users, as well as optimizing coverage. However, the transmit power difference between the introduced picocells and the legacy macrocells essentially leads to challenges that limits system performance, especially for those users located at the edge of the cell. As a means of providing a clear understanding, the authors thus formulate the optimization problem as game theory, in order to maximize a modified utility function, which aims at making improvements on the eICIC. Based on exact potential game formulation, we optimize almost blank subframe (ABS) and cell selection bias (CSB) settings for both macrocells and picocells in a distributed manner. Simulation results illustrate important performance gains on the service fairness of the users, and especially for cell edge users, where the averaged throughput increases by up to 51%, when compared to eICIC optimization without our modified utility function.

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Section: Related Workmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Distributed Solution For Eicic Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Moreira

Silva

Guardiero

2020

JCIS

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“…Atualmente, diversos trabalhos com propostas de mitigação de interferências baseados em Game Theory para redes LTE/LTE-A/5G têm sido publicados. Soluções em jogos potenciais para otimização eICIC distribuída são consideradas nos estudos em [Trabelsi et al 2017, Liu et al 2015a, Liu et al 2015b.…”

Section: Revisão Da Literaturaunclassified

Técnicas de Coordenação de Interferência Inter-Celular para Redes Heterogêneas no Downlink LTE-A

Moreira

Silva

Guardieiro

2019

Anais Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2019)

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Future generation cellular networks are expected to provide broad-band access to a continuously growing number of mobile users. The densification of cellular networks is necessary to increase their capacity and improve spectral efficiency, however, in these systems, ICI still represents a real challenge that limits system performance, especially for users located at the edge of the cell. This paper briefly reviews the ICIC techniques in the downlink LTE-A of mobile cellular networks as an approach to alleviate the impact of interference and improve performance. The simulation results show the advantages and limitations of the eICIC and FeICIC techniques compared to the model without interference control.

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Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization

Zoha

Saeed

Farooq

et al. 2018

IEEE Trans. on Mobile Comput.

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Abstract-Cell densification is being perceived as the panacea for the imminent capacity crunch. However, high aggregated energy consumption and increased inter-cell interference (ICI) caused by densification, remain the two long-standing problems. We propose a novel network orchestration solution for simultaneously minimizing energy consumption and ICI in ultra-dense 5G networks. The proposed solution builds on a big data analysis of over 10 million CDRs from a real network that shows there exists strong spatio-temporal predictability in real network traffic patterns. Leveraging this we develop a novel scheme to pro-actively schedule radio resources and small cell sleep cycles yielding substantial energy savings and reduced ICI, without compromising the users QoS. This scheme is derived by formulating a joint Energy Consumption and ICI minimization problem and solving it through a combination of linear binary integer programming, and progressive analysis based heuristic algorithm. Evaluations using: 1) a HetNet deployment designed for Milan city where big data analytics are used on real CDRs data from the Telecom Italia network to model traffic patterns, 2) NS-3 based Monte-Carlo simulations with synthetic Poisson traffic show that, compared to full frequency reuse and always on approach, in best case, proposed scheme can reduce energy consumption in HetNets to 1/8th while providing same or better QoS.

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Joint optimization on inter-cell interference management and user attachment in LTE-A HetNets

Cited by 8 publications

References 11 publications

eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

eICIC Optimization Improvements in Downlink Resource Allocation in LTE-A HetNets

Técnicas de Coordenação de Interferência Inter-Celular para Redes Heterogêneas no Downlink LTE-A

Leveraging Intelligence from Network CDR Data for Interference Aware Energy Consumption Minimization

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