Load-Aware Performance Analysis of Cell Center/Edge Users in Random HetNets

Mankar, Praful D.; Das, Goutam; Pathak, Sunil

doi:10.1109/tvt.2017.2681158

Cited by 27 publications

(31 citation statements)

References 34 publications

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“…The classification of the users into two categories, namely the CCUs and CEUs, is studied in [22] for a grid-based modeled cellular network. In the context of stochastic-based modeled cellular networks, recent studies deal with the classification of the users, which is either based on an signal-to-interference-plus-noise ratio threshold [23] or the distance from the serving base station (BS) [24]. Even though the technologies of FD radio, mmWave communications and heterogeneous networks have been investigated in several works, their codesign, as well as the performance evaluation for different location-based user classifications in a heterogeneous cellular network has been disregarded.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous FD-mm-Wave Cellular Networks With Cell Center/Edge Users

Skouroumounis¹,

Psomas²,

Krikidis³

2019

IEEE Trans. Commun.

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In this paper, we assess the effect of full-duplex (FD) radio in the context of millimeter-wave (mmWave) communications. Particularly, we propose an analytical framework, based on stochastic geometry, to evaluate the performance of heterogeneous FD-mmWave cellular networks for two user location-based classifications, namely cell-center users (CCUs) and cell-edge users (CEUs). Moreover, we evaluate the performance of the considered networks with successive interference cancellation (SIC) capabilities. Based on the proposed framework, analytical expressions for the coverage and sum-rate performance are derived. We investigate the impact of FD-mmWave communications on the network performance of CCUs/CEUs and quantify the associated performance gains under different network parameter settings. Our results demonstrate the beneficial combination of FD radio with heterogeneous mmWave cellular networks, since it increases the spectral efficiency but also alleviates the effects of the multi-user interference. Furthermore, we present the trade-off between the coverage and sum-rate performance of heterogeneous FD-mmWave cellular networks for the considered user classifications. The results show that half-duplex mode is beneficial for the CEUs to achieve better network performance, as opposed to the CCUs for which FD mode is more efficient. Finally, we show the effectiveness of SIC on the network performance, with significant performance gains for the CEUs. Index TermsFull-duplex, heterogeneous networks, millimeter-wave, successive interference cancellation, stochastic geometry.Christodoulos Skouroumounis, Constantinos Psomas and Ioannis Krikidis are with the communications due to its abundant spectrum resources, which can lead to multi-Gbps rates [14]. As a result of their unique features such as directivity, sensitivity to blockages, and higher path losses, mmWave communications have fundamental differences with the current sub-6 GHz communications [14]. Due to these differences, the unique features of mmWave communications are required to be considered in the design of network architectures and protocols to fully exploit the potentials of mmWave communications. Network densification is proposed to address the large path-loss attenuation of mmWave frequencies, by bringing the transmitter closer to the receiver. This results in increased reliability, improved spectrum efficiency, and increased network capacity. Another important technique to compensate the large path-loss attenuation is the employment of directional antennas, which becomes feasible due to the short wavelength of mmWave signals. In addition to the difficulties caused by the unique features of the mmWave signals, recent studies have shown that these features also cause a positive effect on the network performance, which is the mitigation of the overall interference [15], [16], [18], [19]. Thus, the co-design of FD radio and mmWave networks is of critical importance in order to combat the severe multi-user interference caused by the FD technology by exploiting...

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Section: Introductionmentioning

confidence: 99%

Heterogeneous FD-mm-Wave Cellular Networks With Cell Center/Edge Users

Skouroumounis¹,

Psomas²,

Krikidis³

2019

IEEE Trans. Commun.

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“…User classification approaches mainly focus on two aspects: the location-based [1], [3]- [6], and SINR based classification [2], [7]. The location-based classification relies on the geometric properties of the PPP in order to classify a user as CCU or CEU.…”

Section: B Related Workmentioning

confidence: 99%

“…The location-based classification relies on the geometric properties of the PPP in order to classify a user as CCU or CEU. For instance, in [3], [4], authors computed the ratio of the distance between the typical user and the serving BS to the distance between the typical user to the nearest interfering BS. If the ratio is larger than a threshold, then the user is a CEU; otherwise, it is a CCU.…”

Section: B Related Workmentioning

confidence: 99%

A Tractable Model for Coverage in Non-full Interference Cellular Networks with Cell Center/Edge Users

Mardani

Mary

Baudais

2020

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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This paper presents a non-full interference analysis to derive the coverage probability when the shared spectrum allocation technique is applied to the homogeneous Poisson point process (PPP) network. Each cell is partitioned into two regions based on the strength of the signal to interference ratio (SINR): the cell center region if the SINR is more significant than a threshold and cell edge region otherwise. In our model, a given resource block (RB) is allocated to one user in a cell and cannot be shared by another user. The RB is hence divided into two sub-bands, which will be used exclusively according to whether the user is a cell center or cell edge user, letting a part of the RB unused in order to reduce the interference to the other cell. This scenario implies that the interfering set of base stations (BS) depends on the coverage probability of the typical user. We prove that the interfering BS set is a thinned version of the original PPP and is related to the probability of coverage of the cell center region. Results show that the scheme increases the network's global coverage probability. Index Terms-Cell center user, cell edge user, coverage probability, Poisson point process.

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“…Considering the scarcity of radio resource and the ease of deployment, co‐channel sharing would be more efficient and preferable for operators due to increased spectral efficiency through spectral frequency reuse. With this co‐channel sharing, the spectrum efficiency and network capacity can be enhanced 19‐24 . Therefore, this work considers the modified SSA and co‐channel spectrum sharing scheme for 5G/B5G HetNets.…”

Section: Introductionmentioning

confidence: 99%

“…A strong motivation for viewing the BSs' arrangement as a point process can be drawn from the study of Lee et al 29‐31 By using Monte Carlo simulations, the downlink (DL) signal‐interference ratio distribution of an ideal hexagonal cellular system approaches that of a cellular system with BSs deployed according to a homogeneous Poisson point process (PPP) was shown in the work of Brown et al 32 Therefore, inspired by the above considerations, some works have evaluated the performance by using stochastic geometry based model, 10,15‐17,33‐36 even most of the existing works modeling cellular network as the traditional ideal hexagonal grid 8,14,37,38 . At the same time, by using stochastic geometry model, Mankar et al have also investigated the coverage performance of SSA‐based HetNets 19 . However, these works only modeled the locations of BSs and UEs in each tier as independent PPPs.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analyzing multi‐tier massive multiple‐input multiple‐output‐enabled heterogeneous networks with hybrid spectrum allocation for cluster‐center and cluster‐edge users

Jia

Chen

et al. 2020

Trans Emerging Tel Tech

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With the proliferation of high‐speed multi‐media applications and high‐dense Internet‐of‐Things devices, the future 5G/B5G networks will face the emergence of dense hotspot communications. A key consequence of such hotspots is the heterogeneity of base stations' deployment and the user base station (BS) coupling, where the user equipments (UEs) tend to form spatial clusters or hotspots. With these motivations, this article considers a realistic scenario for clustered heterogeneous networks, which consists of macro‐BSs (MBSs), pico‐BSs (PBSs), and femto‐BSs (FBSs). To restrict the severe interference from inter and intra‐tier transmitters, a clustered‐UEs classification is developed based on the coverage radius of PBSs. With the clustered‐UEs classification, this article develops a modified separated spectrum allocation scheme. To further exploit potential, we also consider the cases of ordered and non‐ordered FBSs associations and construct the derivations of both the statistical descriptions of association distances and the association probabilities for different scenarios. By using the approximated Poisson hole process theory which is accurate and simple enough, the statistical description of the interference experienced at a typical receiver is given, and the coverage probabilities are also derived. The simulation results achieve that the performance gain from the case of ordered FBSs over the one from the case of non‐ordered FBSs greatly depends on the coverage radii of PBSs and FBSs. Meanwhile, the distributions of both FBSs and UEs also impose the non‐negligible contributions on network performance.

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Load-Aware Performance Analysis of Cell Center/Edge Users in Random HetNets

Cited by 27 publications

References 34 publications

Heterogeneous FD-mm-Wave Cellular Networks With Cell Center/Edge Users

Heterogeneous FD-mm-Wave Cellular Networks With Cell Center/Edge Users

A Tractable Model for Coverage in Non-full Interference Cellular Networks with Cell Center/Edge Users

Modeling and analyzing multi‐tier massive multiple‐input multiple‐output‐enabled heterogeneous networks with hybrid spectrum allocation for cluster‐center and cluster‐edge users

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