eICIC Configuration Algorithm with Service Scalability in Heterogeneous Cellular Networks

Zhou, Hao; Ji, Yusheng; Wang, Xiaoyan; Yamada, Shigeki

doi:10.1109/tnet.2016.2588507

Cited by 35 publications

(25 citation statements)

References 27 publications

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“…Since the signaling and data of macrocells and picocells are directly routed to the centralized processing unit (i.e., MME), the proposed algorithm can be performed in a more efficient way. Similar to the related work [4,21], we can adjust the EEeICIC parameters for a long time period. Therefore, the ABSs allocation and the UE scheduling process in our problem are at a slow time, and the algorithm can be executed online and the results are used as a guidance for real-time scheduling.…”

Section: Implementation Frameworkmentioning

confidence: 94%

“…Deb et al [4] proposed a joint optimization framework for user association and ABSs allocation to maximize the weighted proportional fairness of users. An alternating direction method of multipliers (ADMM) algorithm was proposed to jointly optimize user association and ABS ratio; the algorithms implemented in distributed manner on each Macro BS and Pico BS were coordinated to allocate average airtime for the whole network [21]. An adaptive energy-efficient ABS configuration scheme was proposed to configure the proper ABS ratio and optimal power according to the practical load [8].…”

Section: Energy Efficiency Of Abs Optimizationmentioning

confidence: 99%

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EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks

Zheng

Gao

Wang

et al. 2017

Wireless Communications and Mobile Computing

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The densification and expansion of heterogeneous cellular networks (HetNets) pose new challenges on interference management and reduction of energy consumption. The 3GPP has proposed enhanced intercell interference coordination (eICIC) by making a macrocell silent in almost blank subframes (ABSs) to mitigate interference for low power base stations (BSs) in HetNets. However, energy efficiency (EE) is very crucial for the deployment of a large number of low power nodes as they consume a lot of energy. In this work, we develop a novel EE-eICIC algorithm to determine the amount of ABSs and user equipment (UE) that should associate with picocells or macrocells from energy efficiency perspective. Due to the nonsmooth and mixed combinatorial features of this formulation, we focus on a suboptimal algorithm design. Using generalized fractional programming and the convex programming theory, we propose an iterative and relaxed-rounding algorithm to solve the problem. Numerical results illustrate that the proposed EE-eICIC algorithm achieves superior performance in comparison with state-of-the-art methods in terms of energy efficiency of both system and user.

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Section: Implementation Frameworkmentioning

confidence: 94%

Section: Energy Efficiency Of Abs Optimizationmentioning

confidence: 99%

EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks

Zheng

Gao

Wang

et al. 2017

Wireless Communications and Mobile Computing

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“…where x 1 , x 2 , x b 1 , x b 2 , ρ 1 , ρ 2 can be found in (31). T = (2 (U * N U 3 /W U 3 ) − 1)/P 2 , W U3 is the bandwidth allocated to UEs in set U 3 , N U3 is the UEs in set U 3 and can be expressed as N U3 = q U3 λu λ2 .…”

Section: B Power Consumption Modelmentioning

confidence: 99%

“…In order to avoid QoS degradation of the UEs from cell edge of range-expanded small cells, we use the eICIC technique to ensure their QoS requirements. Research in [30], [31] shows that eICIC technique is an effective way to improve the QoS performance of cell edge UEs.…”

mentioning

confidence: 99%

An Energy Saving Small Cell Sleeping Mechanism With Cell Range Expansion in Heterogeneous Networks

Tao

Liu

Chu

et al. 2019

IEEE Trans. Wireless Commun.

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In recent years, the explosion of wireless data traffic has resulted in a trend of a large scale dense deployment of small cells, with which the rising cost of energy has attracted a lot of research interest. In this paper, we present a novel sleeping mechanism for small cells to decrease the energy consumption of heterogeneous networks (HetNets). Specifically, in the celledge area of a macrocell, small cells will be put into sleep where possible and their service areas will be covered by rangeexpanded small cells nearby and the macrocell; in areas close to the macrocell, User equipments (UEs) associated with a sleeping small cell will be handed over to the macrocell. Furthermore, we use enhanced inter-cell interference coordination (eICIC) techniques to support range expanded small cells to avoid QoS degradation. Using a stochastic geometry based network model, we provide the numerical analysis of the proposed approach, and the results indicate that the proposed sleeping mechanism can significantly reduce the power consumption of the network compared with the existing sleeping methods while guaranteeing the QoS requirement.

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“…In 3GPP LTE Rel. 11, further enhanced ICIC (FeICIC) is proposed, which allows traffic data to be transmitted during ABS with relatively low power [6,7].…”

Section: Introductionmentioning

confidence: 99%

Co-channel interference management using eICIC/FeICIC with coordinated scheduling for the coexistence of PS-LTE and LTE-R networks

Chen

Ahmad

Chang

2017

J Wireless Com Network

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In the Republic of Korea, a Long Term Evolution (LTE)-based public safety (PS)-LTE network is being built using 718~728 MHz for uplink and 773~783 MHz for downlink. However, the same bands are also assigned to the LTE-based high-speed railway (LTE-R) network, so great concerns and practical researches on co-channel interference (CCI) management schemes are urgently required. In this paper, performance is analyzed and evaluated by considering the cases of non-RAN (radio access network) sharing and LTE-R RAN sharing by PS-LTE user equipments (UE). Since a train control signal requires high reliability and low latency in order to fulfill its mission-critical service (MCS) requirements, we give higher priority to LTE-R UE during resource allocation under the LTE-R RAN sharing by PS-LTE UEs. In addition, interference management schemes are more effective for the coexistence of PS-LTE and LTE-R networks under RAN sharing environment. In this paper, we utilize enhanced inter-cell interference coordination (eICIC) and further enhanced ICIC (FeICIC) schemes to mitigate the interference from PS-LTE network to LTE-R network while improving the LTE-R eNodeB (eNB) resource utilization by offloading more PS-LTE UEs to LTE-R network. Moreover, a coordinated multipoint (CoMP) transmission scheme is considered among LTE-R eNBs to enhance LTE-R cell edge user performance. By employing FeICIC along with coordinated scheduling (CS) CoMP, the best throughput performance can be achieved under the case of RAN sharing.

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eICIC Configuration Algorithm with Service Scalability in Heterogeneous Cellular Networks

Cited by 35 publications

References 27 publications

EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks

EE-eICIC: Energy-Efficient Optimization of Joint User Association and ABS for eICIC in Heterogeneous Cellular Networks

An Energy Saving Small Cell Sleeping Mechanism With Cell Range Expansion in Heterogeneous Networks

Co-channel interference management using eICIC/FeICIC with coordinated scheduling for the coexistence of PS-LTE and LTE-R networks

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