A survey on modeling interference and blockage in urban heterogeneous cellular networks

Taranetz, Martin; Müller, Martin Klaus

doi:10.1186/s13638-016-0740-z

Cited by 14 publications

(6 citation statements)

References 159 publications

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“…In this paper, the method of estimating the interference power of each individual representative node for calculating the reference power is not the subject of discussion. Since the nodes are managed and their information is known, we assume that the interference power is predictable using techniques such as methods discussed in [2]. The main subject of this paper is how to select the representative nodes that provide the reference power from all managed nodes.…”

Section: Proposed Estimation Methodsmentioning

confidence: 99%

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Estimation of total interference power by clustering multiple wireless nodes

et al. 2021

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For effective computation of the total amount of interference from multiple nodes located in a wide area, we propose a scheme clustering multiple interference nodes and estimating the total interference power of the cluster. The total interference power is obtained by adding a margin to a reference power of limited number of representative nodes. In the scheme, the selection of the representative nodes is an important factor deciding frequency utilization efficiency. In the paper, we evaluated the amount of the excessively estimated power of several determination methods of the reference power by simulations and experiment. As a result, we show a method to determine the reference power with smaller overestimation.

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Section: Proposed Estimation Methodsmentioning

confidence: 99%

“…Various studies have been conducted on techniques for estimating interference power [2]. These techniques are basically to estimate the amount of interference of a single node.…”

Section: Introductionmentioning

confidence: 99%

Estimation of total interference power by clustering multiple wireless nodes

et al. 2021

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“…Since the focus of our work is to understand the fundamentals of optimally splitting file downloads, we resort to using such a relatively simple, deterministic, and regular deployment scheme for analyzing the effects of interference on DC performance. Although small cell BSs are generally deployed in an uncoordinated manner in reality, which usually requires using stochastic geometry models for analysis, consideration of deterministic regular locations has not been uncommon in the literature [51], [52]. We also assume that the small cell BSs are located indoors and there is an additional loss (wall attenuation) of 20 dB for signals originating from these interferers [53].…”

Section: Flow-level Wireless Simulationsmentioning

confidence: 99%

Dual Connectivity in Heterogeneous Cellular Networks: Analysis of Optimal Splitting of Elastic File Transfers Using Flow-Level Performance Models

Olaifa,

Arifler

2023

IEEE Access

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The dual connectivity feature in heterogeneous cellular networks can be used to improve the download performance for elastic applications by splitting a file transfer over two connections. We employ two parallel processor sharing queues along with a heavy-traffic approximation to develop an extended framework that allows for analysis of file download performance in dual connectivity enabled networks from a relatively less-investigated yet more tractable flow-level perspective rather than a packet-level perspective. Unlike existing models, the framework developed jointly accounts for different transmission capacities and utilizations of base stations, thus enabling a proper and comprehensive assessment of user-perceived file transfer delays. We analyze the optimum file splitting ratio for reducing download delays using convex optimization and validate our findings via both queueing network and flow-level wireless simulations. Our in-house flow-level wireless simulator takes into account user locations and macroscopic propagation characteristics of wireless channels in order to create a realistic evaluation environment; we observe that optimal splitting under heavy-traffic conditions can result in up to 60% reduction in download delays for commonly encountered wireless system specifications when the macrocell and small cell base stations operating with different transmission capacities both have high utilizations. We further illustrate that our flow-level model can successfully incorporate interfering sources and different transmit powers which can easily be subsumed into the transmission capacities used in the model. Overall, the results presented show that it is indeed crucial to consider different transmission capacities as well as utilizations of base stations when determining the optimum splitting ratio.INDEX TERMS Dual connectivity, flow-level performance analysis, heavy-traffic approximation, heterogeneous cellular networks, processor sharing queues.

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“…Another and more natural way to model correlated shadowing is based on stochastic geometry (SG) and more precisely on the use of random shape theory to represent the location and the shape of obstacles. Reference [3] surveys the state-of-art on SG based blockage models. This is used for both outdoor [4] and indoor [5] communications.…”

Section: A Prior Workmentioning

confidence: 99%

A User Centric Blockage Model for Wireless Networks

Baccelli¹,

Liu²,

Decreusefond³

et al. 2021

Preprint

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This paper proposes a cascade blockage model for analyzing the vision that a user has of a wireless network. This model, inspired by the classical multiplicative cascade models, has a radial structure meant to analyze blockages seen by the receiver at the origin in different angular sectors. The main novelty is that it is based on the geometry of obstacles and takes the joint blockage phenomenon into account.We show on a couple of simple instances that the Laplace transforms of total interference satisfies a functional equation that can be solved efficiently by an iterative scheme. This is used to analyze the coverage probability of the receiver and the effect of blockage correlation and penetration loss in both dense and sparse blockage environments. Furthermore, this model is used to investigate the effect of blockage correlation on user beamforming techniques. Another functional equation and its associated iterative algorithm are proposed to derive the coverage performance of the best beam selection in this context. In addition, the conditional coverage probability is also derived to evaluate the effect of beam switching. The results not only show that beam selection is quite efficient for multi-beam terminals, but also show how the correlation brought by blockages can be leveraged to accelerate beam sweeping and pairing.

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A survey on modeling interference and blockage in urban heterogeneous cellular networks

Cited by 14 publications

References 159 publications

Estimation of total interference power by clustering multiple wireless nodes

Estimation of total interference power by clustering multiple wireless nodes

Dual Connectivity in Heterogeneous Cellular Networks: Analysis of Optimal Splitting of Elastic File Transfers Using Flow-Level Performance Models

A User Centric Blockage Model for Wireless Networks

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