Network Densification Impact on System Capacity

Thurfjell, Magnus; Ericsson, Marten; Bruin, P. de

doi:10.1109/vtcspring.2015.7145947

Cited by 24 publications

(13 citation statements)

References 5 publications

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“…In addition, it is worth mentioning that this study is on the basis of our UDN definition where the number of BSs exceeds the number of users (see Definition 1) as in [17]- [20], [22], [23]. Therefore, the UDN SE arguments in this article may not be in line with other opinions, especially regarding the nearfield effect that may degrade SE under a scenario neglecting the turned-off BS impact [24]- [26].…”

Section: A Related Workmentioning

confidence: 91%

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Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

Park

Kim

Zander

2016

IEEE Trans. Wireless Commun.

117

135

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The forthcoming 5G cellular network is expected to overlay millimeter-wave (mmW) transmissions with the incumbent micro-wave (µW) architecture. The overall mm-µW resource management should therefore harmonize with each other. This paper aims at maximizing the overall downlink (DL) rate with a minimum uplink (UL) rate constraint, and concludes: mmW tends to focus more on DL transmissions while µW has high priority for complementing UL, under time-division duplex (TDD) mmW operations. Such UL dedication of µW results from the limited use of mmW UL bandwidth due to excessive power consumption and/or high peak-to-average power ratio (PAPR) at mobile users. To further relieve this UL bottleneck, we propose mmW UL decoupling that allows each legacy µW base station (BS) to receive mmW signals. Its impact on mm-µW resource management is provided in a tractable way by virtue of a novel closed-form mm-µW spectral efficiency (SE) derivation. In an ultra-dense cellular network (UDN), our derivation verifies mmW (or µW) SE is a logarithmic function of BS-to-user density ratio. This strikingly simple yet practically valid analysis is enabled by exploiting stochastic geometry in conjunction with real three dimensional (3D) building blockage statistics in Seoul, Korea.

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Section: A Related Workmentioning

confidence: 91%

“…(λ m ) and γ (s) m.u (λ m ) respectively denote(21)and(22) under sparse mmW networks. We hereafter consider γ as the DL and UL mmW SEs forλ m < 1 and the results in Theorems 1 and 2 forλ m ≥ 1.…”

mentioning

confidence: 99%

Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

Park

Kim

Zander

2016

IEEE Trans. Wireless Commun.

117

135

View full text Add to dashboard Cite

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“…The same conclusion was drawn when using a sophisticated path loss model that incorporates both LoS and NLoS transmissions. Based on this, several studies show that the interference overcomes the desired signal power due to the increasing LoS components as a result of densification [89], [90], [95], [97]. This means that the interferer sources will not only increase, but will be more powerful as well.…”

Section: A Densification and Heterogeneous Networkmentioning

confidence: 95%

A Survey on Coverage Enhancement in Cellular Networks: Challenges and Solutions for Future Deployments

Borralho

Mohamed

Quddus

et al. 2021

IEEE Commun. Surv. Tutorials

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Seamless and ubiquitous coverage are key factors for future cellular networks. Despite capacity and data rates being the main topics under discussion when envisioning the Fifth Generation (5G) and beyond of mobile communications, network coverage remains one of the major issues since coverage quality highly impacts the system performance and end-user experience. The increasing number of base stations and user terminals is anticipated to negatively impact the network coverage due to increasing interference. Furthermore, the "ubiquitous coverage" use cases, including rural and isolated areas, present a significant challenge for mobile communication technologies. This survey presents an overview of the concept of coverage, highlighting the ways it is studied, measured, and how it impacts the network performance. Additionally, an overlook of the most important key performance indicators influenced by coverage, which may affect the envisioned use cases with respect to throughput, latency, and massive connectivity, are discussed. Moreover, the main existing developments and deployments which are expected to augment the network coverage, in order to meet the requirements of the emerging systems, are presented as well as implementation challenges.

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“…Thurfjell et al [22] linked the system densification with an increase of the system throughput, and a densification threshold, after which the improvements decrease, was identified. Li et al [23] expressed spectrum and energy efficiency of UDNs with stochastic geometry and also showed the improvements and limitations of network densification.…”

Section: Ultra-dense Networkmentioning

confidence: 99%

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

et al. 2019

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Two radio air interfaces, Evolved-LTE and New Radio, coexist in new 5G systems. New Radio operates in the millimeter band and provides a better bandwidth, but the higher frequencies also imply worse radio conditions. Multi-connectivity, a feature of 5G that allows users to connect to more than one base station simultaneously, can offer the advantages of both interfaces. In this paper, we investigate how multi-connectivity can improve user reliability and the system's energy efficiency. Five algorithms for secondary cell association are presented and evaluated. We show a decrease in the radio link failure rate of up to 50% at high speeds and improvements of the energy efficiency of up to 20% at low speeds.

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Network Densification Impact on System Capacity

Cited by 24 publications

References 5 publications

Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

Tractable Resource Management With Uplink Decoupled Millimeter-Wave Overlay in Ultra-Dense Cellular Networks

A Survey on Coverage Enhancement in Cellular Networks: Challenges and Solutions for Future Deployments

Energy efficient multi-connectivity algorithms for ultra-dense 5G networks

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