Coverage and Load Balancing in Heterogeneous Cellular Networks with Minimum Cell Separation

Cho, Sung-rae; Choi, Wan

doi:10.1109/tmc.2013.87

Cited by 29 publications

(32 citation statements)

References 29 publications

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“…Spatial correlations in practical deployments are better captured due to the existence of the hard-core distance in MHPP, which is demonstrated to be a more accurate stochastic model in [31] compared with PPP. An increasing number of interests from researchers yields studies on network performance analysis employing MHPP such as in [32], [33] and there is also work using MHPP to model C-RANs [34]. More comprehensive surveys discussing about difference stochastic models can be found in [35].…”

Section: A Network Architecturementioning

confidence: 99%

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

Grace

Mitchell

2018

IEEE Trans. Veh. Technol.

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Abstract-Sleep mode operation of base stations aims to switch off some hardware modules to reduce power consumption while not degrading the Quality of Service. In this paper, novel Hotspotoriented Green Frameworks based on sleep model operation of Remote Radio Heads (RRHs) are proposed for Cloud Radio Access Networks (C-RANs). The trade-off between the reduction in power consumption of RRHs and the increase in transmission power at User Equipment (UE) is first analysed based on realistic models for ultra-small cell C-RANs. In the proposed energy-efficient frameworks, corresponding clustering strategies are adopted to ensure that active RRHs are located as near as possible to hotspot areas for different infrastructure conditions and information availabilities. This reduces the increase in the uplink transmission power while maximising the overall RRH power reduction. The green frameworks are modelled using C-RANs based on random topologies. It is shown that area power consumption can be reduced by more than 79% at a low traffic level compared with no sleep mode operation. One of the frameworks is also compared with a baseline strategy that deals with hotspot areas and shows a 70% reduction in UE transmission power. The pros and cons of applying different frameworks are also investigated and analysed.

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Section: A Network Architecturementioning

confidence: 99%

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

Grace

Mitchell

2018

IEEE Trans. Veh. Technol.

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“…However, as a significant weakness, the independence of PPP may allow eNBs to be located very close to each other, which is not practical in reality. To solve this problem, we apply a repulsive dependent thinning to PPP the same as the one in [19], rendering a type II Matérn Hard-core Process (MHP) with a hard-core distance σ b as a result [19]- [21]. Therefore, |B|, the cardinality mean of B can be calculated as…”

Section: F Algorithm Summarymentioning

confidence: 99%

Traffic-Aware Cell Management for Green Ultradense Small-Cell Networks

Grace

Mitchell

2017

IEEE Trans. Veh. Technol.

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To reduce the power consumption of 5G ultradense small cell networks, base stations can be switched to low power sleep modes when local traffic levels are low. In this paper, a novel sleep mode control algorithm is proposed to control such sleep modes. The algorithm innovates a concept called Traffic-Aware Cell Management (TACM). It involves cell division, cell death and cell migration to represent adaptations of networks, where state transitions of base stations are controlled. Direction of arrival is adopted for distributed decision making. The TACM algorithm aims at reducing the network power consumption while alleviating the impacts of applying sleep modes, such as mitigating system overheads and reducing user transmission power. The TACM algorithm is compared with a recent consolidated baseline scheme by simulation on networks with unbalanced traffic distributions and with base stations at random locations. In contrast, the TACM algorithm shows a significant improvement in mitigating system overheads due to no load information exchange overhead and up to 72 times less switching frequency. Up to 81% network power consumption can be reduced compared with the baseline scheme if considering high energy consumption of switching transient states. In addition, at a low traffic level, average uplink transmission power is reduced by 79% comparatively. Furthermore, the impact of important performance governing parameters of the TACM algorithm is analysed. The insensitivity to the estimation accuracy of direction of arrival is also demonstrated. The results show that the proposed TACM algorithm has a comprehensive advantage of power reduction and overhead mitigation over the baseline scheme.

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“…The channel transmission model is a mixed one consisting of path loss and shadow fading with logarithmic normal distribution. The overlapping of the two can reflect the decrease of signal strength with distance and random decline of path loss caused by obstacles (indoor walls) in communication link, hence restoring the actual communication link to the largest degree [25]. Based on base station and location information of users, modeling is conducted of SINR of different users for analysis.…”

Section: System Modelmentioning

confidence: 99%

Game Algorithm for Resource Allocation Based on Intelligent Gradient in HetNet

Dai

2017

Symmetry

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Abstract:In order to improve system performance such as throughput, heterogeneous network (HetNet) has become an effective solution in Long Term Evolution-Advanced (LET-A). However, co-channel interference leads to degradation of the HetNet throughput, because femtocells are always arranged to share the spectrum with the macro base station. In this paper, in view of the serious cross-layer interference in double layer HetNet, the Stackelberg game model is adopted to analyze the resource allocation methods of the network. Unlike the traditional system models only focusing on macro base station performance improvement, we take into account the overall system performance and build a revenue function with convexity. System utility functions are defined as the average throughput, which does not adopt frequency spectrum trading method, so as to avoid excessive signaling overhead. Due to the value scope of continuous Nash equilibrium of the built game model, the gradient iterative algorithm is introduced to reduce the computational complexity. As for the solution of Nash equilibrium, one kind of gradient iterative algorithm is proposed, which is able to intelligently choose adjustment factors. The Nash equilibrium can be quickly solved; meanwhile, the step of presetting adjustment factors is avoided according to network parameters in traditional linear iterative model. Simulation results show that the proposed algorithm enhances the overall performance of the system.

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Coverage and Load Balancing in Heterogeneous Cellular Networks with Minimum Cell Separation

Cited by 29 publications

References 29 publications

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

Hotspot-Oriented Green Frameworks for Ultrasmall Cell Cloud Radio Access Networks

Traffic-Aware Cell Management for Green Ultradense Small-Cell Networks

Game Algorithm for Resource Allocation Based on Intelligent Gradient in HetNet

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