Mobile Small Cell Deployment for Service Time Maximization Over Next-Generation Cellular Networks

Chou, Shih-Fan; Yu, Ya-Ju; Pang, Ai‐Chun

doi:10.1109/tvt.2016.2625806

Cited by 24 publications

(7 citation statements)

References 31 publications

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“…The mobile SC deployment problem is an NP-hard problem and this can be proved by a reduction from the SCs facility location problem. The proof is not included here owing to a lack of space but was explained in [ 55 ], where the authors formulated an optimized SC deployment problem with the aim of maximizing the service time provided by small mobile cells for all users, while taking account of a finite number of small mobile cells and inter-cell/cross-cell interference. Moreover, in the same study, it was proved that this is a NP-hard problem.…”

Section: Basic Features Of Scs and Transport Deployment Strategiesmentioning

confidence: 99%

Deployment of small cells and a transport infrastructure concurrently for next-generation mobile access networks

et al. 2018

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The exponential growth of mobile traffic means that operators must upgrade their mobile networks to provide higher capacity to final users. A promising alternative is to deploy heterogeneous networks (HetNets) that combine macro Base Stations (BSs) and SmallCells (SCs), although this increases the complexity and cost of the transport (SCs to Fiber Access Point–FAP). Most of the planning strategies outlined in the literature are aimed at reducing the number of SCs and ignore the impact that the transport segment might have on the total cost of network deployment. In this paper, heuristics are used for the joint planning of radio (i.e., SCs) and transport resources (i.e., point-to-point fiber links). These were compared and examined to determine the advantages and disadvantages of each approach, and in some cases, this led to a 50% reduction in total costs, while still creating a non-scalable network.

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Section: Basic Features Of Scs and Transport Deployment Strategiesmentioning

confidence: 99%

Deployment of small cells and a transport infrastructure concurrently for next-generation mobile access networks

et al. 2018

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“…As can be seen, the mobile SC deployment problem is an NP-hard problem and can be proved by mitigating the facility location problem, the proof is omitted here due to lack of space but can be found in [16], in which the authors formulate an optimization SC deployment problem with the objective to maximize the service time provided by SCs for all users with the consideration of a finite number of SCs and inter-cell/cross-cell interference. A heuristic was implemented to reduce the total deployment cost of a SC network and its fiber-based backhaul, represented by the flowchart shown in Figure 1.…”

Section: Proposed Heuristics-based Solutionmentioning

confidence: 99%

Heuristics for the optimized deployment of small cells in next-generation networks

Araújo

Oliveira

Souza

et al. 2017

J. Microw. Optoelectron. Electromagn. Appl.

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Abstract-Heterogeneous Networks (HetNets) have been introduced as an alternative means of improving the overall network capacity. However, HetNets increase the complexity and cost of transport due to the large number of smallcells (SCs) that have to be connected, and hence, it is essential to investigate the best way to plan the joint deployment of radio and transport resources. For this reason, some planning strategies have been put forward in the literature with the aim of reducing both the number of SCs and amount of transport. These systems are generally based on OFDM (Orthogonal Frequency Division Multiplexing) which uses a radio frequency range from 2 to 20 GHz. However, those papers do not evaluate path loss, which is a major component in the analysis or how to design the link budget of a telecommunication system. In this paper, we examine a heuristic for the joint planning of radio (i.e., SCs) and transport resources (i.e., point-to-point fiber links) by using suitable propagation models for next generation networks. Through the proposed heuristics, it is possible to save up to 12% of the total costs of the network deployment incurred by other systems found in the literature. that investigate how to provide backhaul to transport data to/from a gateway node (a node with an existing fiber point, often co-located with a macrocell) in the core network. Radio Network Planning (RNP) is essential for operators to deploy wireless cellular networks in a cost-effective manner; however, in the optimization process, this must take account of both the radio features, and transport. .In particular, it must include its inevitable migration to the Cloud Radio Access Networks (C-RAN), which provide key solutions for ensuring an efficient allocation and management of baseband processing resources, which are essential for forthcoming ultra-dense deployments.C-RAN is the key architecture of the 5G networks and should be able to support faster data rates (up to 10 Gb/s) and more bandwidth than the preexisting cellular technologies. Another important feature of 5G is the dense Base Station (BS) deployment in HetNets. Studies show that 80% of subscribers are concentrated in 20% of the sites of the network. Thus, it is clear that the use of highcapacity technology as backhaul in traditional architecture and fronthaul in the C-RAN architecture, is

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“…discounted networks and reduce the impact on the main stations in loaded areas), there are some disadvantages due to the fact that UE may find frequencies from multiple stations that results to consume more power. Some researchers [57][58][59] have studied the mentioned issue of the dynamic base stations and reported some ways to overcome the obstacles.…”

Section: Introductionmentioning

confidence: 99%

“…Apart from the mentioned studies [57][58][59][60][61][62], other researchers have also investigated the IM. For example, López-Pérez, Valcarce [63] showed some instructions to solve the interference-mitigation and spectrum-allocation issues.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Kurda

2021

PLoS ONE

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Effective management of radio resources and service quality assurance are two of the essential aspects to furnish high-quality service in Long Term Evolution (LTE) networks. Despite the base station involving several ingenious scheduling schemes for resource allocation, the intended outcome might be influenced by the interference, especially in heterogeneous scenarios, where many kinds of small cells can be deployed under the coverage of macrocell area. To develop the network of small cells, it is essential to take into account such boundaries, in particular, mobility, interference and resources scheduling a strategy which assist getting a higher spectral efficiency in anticipate small cells. Another challenge with small cellular network deployment is further analyzing the impact of power control techniques in the uplink direction for the network performance. With that being said, this article investigates the problem of interference in LTE-advanced heterogeneous networks. The proposed scheme allows mitigation inter-cell interference through fractional self-powered control performed at each femtocell user. This study analyzes a scheme with optimum power value that provides a compromise between the served uplink signal within unwanted interference plus noise ratio to enhance spectral efficiency in terms of throughput. In particular, the maximum transmit power for user equipment in uplink direction should be reviewed for small cells as a major contributor to the interference. The simulation results showed that the proposed fractional power control approach can outperform the traditional power control employed as a full compensation mode in small cell uplinks.

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Mobile Small Cell Deployment for Service Time Maximization Over Next-Generation Cellular Networks

Cited by 24 publications

References 31 publications

Deployment of small cells and a transport infrastructure concurrently for next-generation mobile access networks

Deployment of small cells and a transport infrastructure concurrently for next-generation mobile access networks

Heuristics for the optimized deployment of small cells in next-generation networks

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

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