Dynamic small cell placement strategies for LTE Heterogeneous Networks

Qutqut, Mahmoud H.; Abou-zeid, Hatem; Hassanein, Hossam S.; Rashwan, Hatem A.; Al‐Turjman, Fadi

doi:10.1109/iscc.2014.6912536

Cited by 31 publications

(14 citation statements)

References 11 publications

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“…The approach proposes to adjust the position of small cells based on the proposed algorithm, which maximizes the key performance indicators such as average throughput, fairness, and coverage probability in an unsupervised manner. The authors in [24] investigate the dynamic small cell placement problem in high-demand outdoor environments for the LTE network. Reference [25] uses a metaheuristics algorithms to find the minimum set of BS location that can cover the defined domain.…”

Section: Background and Related Workmentioning

confidence: 99%

5G Base Station Deployment Perspectives in Millimeter Wave Frequencies Using Meta-Heuristic Algorithms

et al. 2019

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It can be predicted that the infrastructure of the existing wireless networks will not fill the requirement of the fifth generation (5G) wireless network due to the high data rates and a large number of expected traffic. Thus, a novel deployment method is crucial to satisfy 5G features. Meta-heuristic is expected to be a promising method for the complex deployment optimization problem of the 5G network. This work presents an implementation of a meta-heuristic algorithm based on swarm intelligence, to minimize the number of base stations (BSs) and optimize their placements in millimeter wave (mmWave) frequencies (e.g., 28 GHz and 38 GHz) in the context of the 5G network while satisfying user data rates requirement. Then, an iterative method is applied to remove redundant BSs. We formulate an optimization problem that takes into account multiple 5G network deployment scenarios. Further, a comparative study is conducted with the well-known simulated annealing (SA) using Monte Carlo simulations to assess the performance of the developed model. In our simulation results, we divide the region of interest into two subareas with different user distributions for different network scenarios while considering the intercell interference. The results demonstrate that the proposed approach has better network coverage with low percentage users in outage. In addition, the developed approach has less computational times to reach the desired target network quality of service (QoS). base station (BS) and user for urban micro-cells (UMi) street canyon and urban macro-cells (UMa) scenarios. For BS antenna height of 10 m and 25 m for UMi and Uma, respectively, the distance is 10 m and 35 m for UMi and Uma, respectively [4]. Thus, these very short distances allow better frequency reuse within a dense network coverage area. The usage of high frequencies is expected to be one of the key 5G technology enabling very high data rates and significant increases in capacity. The spectrum at 28 GHz and 38 GHz are still unexploited and have negligible atmospheric gases attenuation as compared to others high-frequency ranges according to International Telecommunication Union (ITU) L-series recommendations. 5G new radio deployments will require ultra-dense network topologies with the usage of high frequencies, which required many new cells, resulting in additional potential deployment challenges. Consequently, where and when to deploy cells while satisfying user data rates requirement will be challenging. To help assess this deployment challenge, the new approach of network planning is needed to meet the demand of 5G networks and beyond. Network planning is vital in order to deploy 5G networks efficiently, it is considered to be a promising solution to satisfy the user data rates requirement in 5G network [5], it depends on various parameters such as geographical area, cells configuration parameters, estimated number of users, estimated number of cells, path loss and propagation models, and frequency reuse patterns [6]. In the proposed model, UMa a...

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Section: Background and Related Workmentioning

confidence: 99%

5G Base Station Deployment Perspectives in Millimeter Wave Frequencies Using Meta-Heuristic Algorithms

et al. 2019

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“…Smart deployment of small cells has been a topic of extensive research; examples of such work include [3], where the authors use mixed integer linear programing to selectively place small access points within a heterogeneous network. The solution seeks the minimisation of a cost function representing data delivery cost.…”

Section: Related Workmentioning

confidence: 99%

Deployment of UAV-mounted access points according to spatial user locations in two-tier cellular networks

Galkin

Kibiłda

DaSilva

2016

2016 Wireless Days (WD)

132

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Abstract-We envision small cells mounted on unmanned aerial vehicles, to complement existing macrocell infrastructure. We demonstrate through numerical analysis that clustering algorithms can be used to position the airborne access points and select users to offload from the macrocells. We compare the performance of these deployments against equivalent simulated picocell deployments. We demonstrate that due to their ability to position themselves around exact user locations while maintaining a direct line-of-sight link the airborne access points provide a significantly improved received signal strength than the static picocell alternatives. We also find that the airborne access points provide superior service quality even in the presence of user and access point positioning errors.

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“…SCs are easy to deploy and offer additional advantages such as off‐loads traffic from macro‐BS, cheap to deploy and energy efficient and also reduce the distance between serving BS and users. Moreover, SCs not only enhance indoor coverage (eg, SCs in residential homes and railway stations offices) but also provide services to remote and outdoor holes (eg, mobile SCs in vehicles) . Anpalagan et al, Claussen et al, and Quek et al have addressed some key aspects related to design, deployment, and management of SCs.…”

Section: Introductionmentioning

confidence: 99%

“…Anpalagan et al, Claussen et al, and Quek et al have addressed some key aspects related to design, deployment, and management of SCs. Qutqut et al minimize MC utilization and data delivery cost with proposed dynamic SC deployment strategy. The optimization of the number and locations of newly deployed SCs is carried out in a heterogeneous network with unexpected hot‐spot (HS) users .…”

Section: Introductionmentioning

confidence: 99%

Effect of intercell interference on cell boundary users in three‐cell and seven‐cell HetCN

Borah

Hussain

Bora

2019

Int J Communication

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Summary Indoor and cell‐edge coverage has been a major issue of concern for predeployed traditional macrocell (MC)–based homogeneous cellular network. Moreover, with the extensive increase of mobile users and developments of smart and highly specified devices, user demands and activities have led to huge cellular traffic. The key solutions to these that include network upgradation, overlaying of small cells (SCs), and scaling of resources have turned out to be the major causes for intercell interference (ICI) and energy‐efficiency degradation in heterogeneous cellular networks (HetCNs). In this paper, authors have tried to analyze the downlink performance metrics of cell boundary users with MCs overlaying SCs for three‐cell circular and seven‐cell sectorized networks through frequency reuse (FR) schemes. This paper also discusses the impact of ICI being encountered by users and the effect of SCs on the energy efficiency of the network. The locations for SCs are perceived where user density is large and demands high data rate such as at hot‐spot (HS) areas, railway stations, shopping malls, working farms, and organization. The performance metrics sum rate, average user throughput, and energy efficiency are compared by employing FR‐1 (full spectrum) and FR‐3 (three subbands) among MCs and deployed SCs. For both scenarios, simulation results and analyses depict that without SCs, utilization of FR‐1 results in performance degradation due to ICI effects. However, the downlink performance of cell boundary user and energy efficiency of the network could be enhanced by overlaying SCs near cell boundaries of preexisting MCs along with the allocation of FR‐1.

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Dynamic small cell placement strategies for LTE Heterogeneous Networks

Cited by 31 publications

References 11 publications

5G Base Station Deployment Perspectives in Millimeter Wave Frequencies Using Meta-Heuristic Algorithms

5G Base Station Deployment Perspectives in Millimeter Wave Frequencies Using Meta-Heuristic Algorithms

Deployment of UAV-mounted access points according to spatial user locations in two-tier cellular networks

Effect of intercell interference on cell boundary users in three‐cell and seven‐cell HetCN

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