Toward Ultradense Small Cell Networks: A Brief History on the Theoretical Analysis of Dense Wireless Networks

Liu, David; Ding, Ming

doi:10.1002/047134608x.w8392

Cited by 3 publications

(4 citation statements)

References 63 publications

(107 reference statements)

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“…In UDNs, the BSs are positioned below the cluttered manmade structures, thus the radio signals in the line of sight (LoS) may encounter fewer absorption and diffraction losses than those in the non-line-of-sight (NLoS), leading to dissimilar path loss exponents. Hence, a widely used single-slope path loss model becomes inexact [37], [47]. The path loss model with multiple slopes where different distance ranges are susceptible to different path loss exponents eventually is desirable in modeling UDNs scenarios [40].…”

Section: B Channel Propagation Modelmentioning

confidence: 99%

“…For this reason, the cluster network topology varies from each UE due to different distances between cooperating BSs and the UE, which leads to dissimilar statistics of handovers. 2) Furthermore, the approaches in [32]- [34] have considered a standard path loss model in analyzing the impact of mobility on cooperative-based wireless networks, which is not realistic in dense wireless networks deployment [3], [37]. Besides, circumventing frequent reformation of cooperating BSs regarding high dense BS deployment and/or fast-moving UEs remains an open problem in the current literature.…”

Section: Introductionmentioning

confidence: 99%

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User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks

Kibinda¹,

Ge²

2022

Preprint

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The user-centric cooperative transmission provides a compelling way to alleviate frequent handovers caused by an ever-increasing number of randomly deployed base stations (BSs) in ultra-dense networks (UDNs). This paper proposes a new user-centric cooperative transmissions-based handover scheme, i.e., the group-cell handover (GCHO) scheme, with the aim of reducing the handover rate in UDNs. In the proposed scheme, the boundary of the cooperating cluster depends on the distance among the user equipment (UE) and cooperating BSs. The new scheme captures the dynamicity and irregularity of the cooperating cluster topology resulting from randomly distributed BSs. Based on stochastic-geometry tools where BSs locations are modeled as the Poison point process (PPP), we derive an analytical expression of the handover rate for the UE with an arbitrary movement trajectory. Furthermore, a GCHO skipping (GCHO-S) scheme is proposed to minimize the handover cost, i.e., the percentage of time wasted in handover signaling in user-centric cooperative transmissions scenarios. The numerical results show that the GCHO scheme decreases the handover rate by 42.3% and 72.7% compared with the traditional single BS association and fixed-region cooperative network topology handover approaches, respectively. Moreover, under the same group-cell size and constant velocity, the GCHO-S scheme diminishes the handover cost by 50% against the GCHO scheme.

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Section: B Channel Propagation Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks

Kibinda¹,

Ge²

2022

Preprint

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“…An interesting question is to ask about the asymptotic case, and the limits of network densification. In [73], it was observed that network densification is limited by the channel characteristics, and antenna heights. However, this result applies to networks operating over large areas and network settings that correspond to outdoor deployments, e.g., variable deployment heights of tens of meters above ground level.…”

Section: A Take Away Lessonsmentioning

confidence: 99%

Indoor Millimeter-Wave Systems: Design and Performance Evaluation

et al. 2020

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Indoor areas, such as offices and shopping malls, are a natural environment for initial millimeterwave (mmWave) deployments. While we already have the technology that enables us to realize indoor mmWave deployments, there are many remaining challenges associated with system-level design and planning for such. The objective of this article is to bring together multiple strands of research to provide a comprehensive and integrated framework for the design and performance evaluation of indoor mmWave systems. The paper introduces the framework with a status update on mmWave technology, including ongoing fifth generation (5G) wireless standardization efforts, and then moves on to experimentally-validated channel models that inform performance evaluation and deployment planning.

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“…Small cell deployment using lamp post in cities is a good example where users at outdoor street canyons maintain a LOS with the TX. Different coverage and capacity issues of small cells are studied in various studies [8], [9], however, no concrete strategy or limitation for ultra-dense deployment of small cells is provided. Especially impact of LOS connections on neighbor cell interference, and on the size of the area with bad signal to interference plus noise ratio (SINR) is not highlighted enough.…”

Section: Introductionmentioning

confidence: 99%

Capacity Limitation of Small Cell Densification

Sheikh

Lempiainen

Jäntti

2022

2022 International Conference on Information Networking (ICOIN)

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Deployment of small cells is considered as an easy approach for adding capacity to the system. However, it is important to realize that in a non-noise limited system, each additional cell increases the interference in the system. The target of this paper is to show the capacity limitation of the cellular network with an increasing number of small cells in a network. Ultra-dense deployment of small cells implies a high probability of line of sight (LOS) transmission between the transmitter (TX) and receiver (RX). The LOS transmission helps in enhancing the received signal strength, whereas, on the other hand, the interference power significantly grows with small cell densification. This paper presents the analytical analysis of bad cell border area for one-, and two-dimensional grid of small cells. The lamp post solution for the small cell deployment along the street is studied through simulations. The acquired results show that the overall interference in the system and the bad signal to interference plus noise ratio (SINR) cell border area grows with cell densification. System capacity saturates and then starts to collapse as the capacity loss due to the additional cell interference becomes dominant over the gain of cell densification after the saturation point.

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Toward Ultradense Small Cell Networks: A Brief History on the Theoretical Analysis of Dense Wireless Networks

Cited by 3 publications

References 63 publications

User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks

User-Centric Cooperative Transmissions-enabled Handover for Ultra-Dense Networks

Indoor Millimeter-Wave Systems: Design and Performance Evaluation

Capacity Limitation of Small Cell Densification

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